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June 23 2015 Semantic Web Meetup SEO San Diego Meetup SEM San Diego Meetup Courtyard San Diego Old Town
SEOSDM
A Two Person Panel DiscussionPresentation by Bill Slawski and Barbara Starr
User experience drives search engines and hence their results Search Engine Result PresentationPlacements (SERPs) naturally follow that route This means that search results are no longer exclusively based on just ranking criteria Amongst other critical factors is understanding the notion of ordering vs ranking the impact of context and many others
Search Engine Results Page
Search Engine Results Placement
bill_slawski amp BarbaraStarr
Ranking search results based on entity metrics
Providing Knowledge Panels With Search Results
Maintaining search context
Near-duplicate filtering in search engine result page of an online shopping system
Clustered search results
ldquoReturning by one or more computing devices an ordered list of results responsive to the query from the data store of an online shopping system filtered as a function of at least one of the distance and the cluster identifierrdquo
Near-duplicate filtering in search engine result page of an online shopping system
ldquoA plurality of metrics is determined associated with a search result obtained from a knowledge graph wherein the metrics are indicative of the relevance of the search result and the metrics are determined at least in part from the knowledge graph ldquo ldquoRelates to ranking search results Conventional techniques for ranking search results include alphabetical ordering and keyword matching ldquo ldquoResults may be image thumbnail links ordered horizontally based on scorerdquo Example metrics may be Notable Entity Type Metric Contribution Metric (and Fame Metric) Relatedness Metric Prize Metric
Ranking search results based on entity metrics
Notability Notable type Notable Type Metrics and more
US20130110825
Expertise in Entities
Meta-Web patent mentions a ldquobuy buttonrdquo 10 times ndash it was a commercial startup
bill_slawski amp BarbaraStarr
Automated online purchasing system
Meta-Web
Delegated authority evaluation system
User Contributed Knowledge Database
Graph Store
Knowledge web
Meta-Web Search Results
US20040210602A1
ldquoGenerating a buy button with which the user can enter into a personalized purchase transaction to bring the user to a preferred vendor or list of vendorsrdquo
rdquoThe search results page further includes one or more items that when selected by the user lead to a product node for a particular product ldquo
Meta-Web
ldquothe registry establishes connections between objects stored in the registry the connections comprising typed lines between the registry objects
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
A Two Person Panel DiscussionPresentation by Bill Slawski and Barbara Starr
User experience drives search engines and hence their results Search Engine Result PresentationPlacements (SERPs) naturally follow that route This means that search results are no longer exclusively based on just ranking criteria Amongst other critical factors is understanding the notion of ordering vs ranking the impact of context and many others
Search Engine Results Page
Search Engine Results Placement
bill_slawski amp BarbaraStarr
Ranking search results based on entity metrics
Providing Knowledge Panels With Search Results
Maintaining search context
Near-duplicate filtering in search engine result page of an online shopping system
Clustered search results
ldquoReturning by one or more computing devices an ordered list of results responsive to the query from the data store of an online shopping system filtered as a function of at least one of the distance and the cluster identifierrdquo
Near-duplicate filtering in search engine result page of an online shopping system
ldquoA plurality of metrics is determined associated with a search result obtained from a knowledge graph wherein the metrics are indicative of the relevance of the search result and the metrics are determined at least in part from the knowledge graph ldquo ldquoRelates to ranking search results Conventional techniques for ranking search results include alphabetical ordering and keyword matching ldquo ldquoResults may be image thumbnail links ordered horizontally based on scorerdquo Example metrics may be Notable Entity Type Metric Contribution Metric (and Fame Metric) Relatedness Metric Prize Metric
Ranking search results based on entity metrics
Notability Notable type Notable Type Metrics and more
US20130110825
Expertise in Entities
Meta-Web patent mentions a ldquobuy buttonrdquo 10 times ndash it was a commercial startup
bill_slawski amp BarbaraStarr
Automated online purchasing system
Meta-Web
Delegated authority evaluation system
User Contributed Knowledge Database
Graph Store
Knowledge web
Meta-Web Search Results
US20040210602A1
ldquoGenerating a buy button with which the user can enter into a personalized purchase transaction to bring the user to a preferred vendor or list of vendorsrdquo
rdquoThe search results page further includes one or more items that when selected by the user lead to a product node for a particular product ldquo
Meta-Web
ldquothe registry establishes connections between objects stored in the registry the connections comprising typed lines between the registry objects
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Search Engine Results Page
Search Engine Results Placement
bill_slawski amp BarbaraStarr
Ranking search results based on entity metrics
Providing Knowledge Panels With Search Results
Maintaining search context
Near-duplicate filtering in search engine result page of an online shopping system
Clustered search results
ldquoReturning by one or more computing devices an ordered list of results responsive to the query from the data store of an online shopping system filtered as a function of at least one of the distance and the cluster identifierrdquo
Near-duplicate filtering in search engine result page of an online shopping system
ldquoA plurality of metrics is determined associated with a search result obtained from a knowledge graph wherein the metrics are indicative of the relevance of the search result and the metrics are determined at least in part from the knowledge graph ldquo ldquoRelates to ranking search results Conventional techniques for ranking search results include alphabetical ordering and keyword matching ldquo ldquoResults may be image thumbnail links ordered horizontally based on scorerdquo Example metrics may be Notable Entity Type Metric Contribution Metric (and Fame Metric) Relatedness Metric Prize Metric
Ranking search results based on entity metrics
Notability Notable type Notable Type Metrics and more
US20130110825
Expertise in Entities
Meta-Web patent mentions a ldquobuy buttonrdquo 10 times ndash it was a commercial startup
bill_slawski amp BarbaraStarr
Automated online purchasing system
Meta-Web
Delegated authority evaluation system
User Contributed Knowledge Database
Graph Store
Knowledge web
Meta-Web Search Results
US20040210602A1
ldquoGenerating a buy button with which the user can enter into a personalized purchase transaction to bring the user to a preferred vendor or list of vendorsrdquo
rdquoThe search results page further includes one or more items that when selected by the user lead to a product node for a particular product ldquo
Meta-Web
ldquothe registry establishes connections between objects stored in the registry the connections comprising typed lines between the registry objects
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Ranking search results based on entity metrics
Providing Knowledge Panels With Search Results
Maintaining search context
Near-duplicate filtering in search engine result page of an online shopping system
Clustered search results
ldquoReturning by one or more computing devices an ordered list of results responsive to the query from the data store of an online shopping system filtered as a function of at least one of the distance and the cluster identifierrdquo
Near-duplicate filtering in search engine result page of an online shopping system
ldquoA plurality of metrics is determined associated with a search result obtained from a knowledge graph wherein the metrics are indicative of the relevance of the search result and the metrics are determined at least in part from the knowledge graph ldquo ldquoRelates to ranking search results Conventional techniques for ranking search results include alphabetical ordering and keyword matching ldquo ldquoResults may be image thumbnail links ordered horizontally based on scorerdquo Example metrics may be Notable Entity Type Metric Contribution Metric (and Fame Metric) Relatedness Metric Prize Metric
Ranking search results based on entity metrics
Notability Notable type Notable Type Metrics and more
US20130110825
Expertise in Entities
Meta-Web patent mentions a ldquobuy buttonrdquo 10 times ndash it was a commercial startup
bill_slawski amp BarbaraStarr
Automated online purchasing system
Meta-Web
Delegated authority evaluation system
User Contributed Knowledge Database
Graph Store
Knowledge web
Meta-Web Search Results
US20040210602A1
ldquoGenerating a buy button with which the user can enter into a personalized purchase transaction to bring the user to a preferred vendor or list of vendorsrdquo
rdquoThe search results page further includes one or more items that when selected by the user lead to a product node for a particular product ldquo
Meta-Web
ldquothe registry establishes connections between objects stored in the registry the connections comprising typed lines between the registry objects
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquoReturning by one or more computing devices an ordered list of results responsive to the query from the data store of an online shopping system filtered as a function of at least one of the distance and the cluster identifierrdquo
Near-duplicate filtering in search engine result page of an online shopping system
ldquoA plurality of metrics is determined associated with a search result obtained from a knowledge graph wherein the metrics are indicative of the relevance of the search result and the metrics are determined at least in part from the knowledge graph ldquo ldquoRelates to ranking search results Conventional techniques for ranking search results include alphabetical ordering and keyword matching ldquo ldquoResults may be image thumbnail links ordered horizontally based on scorerdquo Example metrics may be Notable Entity Type Metric Contribution Metric (and Fame Metric) Relatedness Metric Prize Metric
Ranking search results based on entity metrics
Notability Notable type Notable Type Metrics and more
US20130110825
Expertise in Entities
Meta-Web patent mentions a ldquobuy buttonrdquo 10 times ndash it was a commercial startup
bill_slawski amp BarbaraStarr
Automated online purchasing system
Meta-Web
Delegated authority evaluation system
User Contributed Knowledge Database
Graph Store
Knowledge web
Meta-Web Search Results
US20040210602A1
ldquoGenerating a buy button with which the user can enter into a personalized purchase transaction to bring the user to a preferred vendor or list of vendorsrdquo
rdquoThe search results page further includes one or more items that when selected by the user lead to a product node for a particular product ldquo
Meta-Web
ldquothe registry establishes connections between objects stored in the registry the connections comprising typed lines between the registry objects
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquoA plurality of metrics is determined associated with a search result obtained from a knowledge graph wherein the metrics are indicative of the relevance of the search result and the metrics are determined at least in part from the knowledge graph ldquo ldquoRelates to ranking search results Conventional techniques for ranking search results include alphabetical ordering and keyword matching ldquo ldquoResults may be image thumbnail links ordered horizontally based on scorerdquo Example metrics may be Notable Entity Type Metric Contribution Metric (and Fame Metric) Relatedness Metric Prize Metric
Ranking search results based on entity metrics
Notability Notable type Notable Type Metrics and more
US20130110825
Expertise in Entities
Meta-Web patent mentions a ldquobuy buttonrdquo 10 times ndash it was a commercial startup
bill_slawski amp BarbaraStarr
Automated online purchasing system
Meta-Web
Delegated authority evaluation system
User Contributed Knowledge Database
Graph Store
Knowledge web
Meta-Web Search Results
US20040210602A1
ldquoGenerating a buy button with which the user can enter into a personalized purchase transaction to bring the user to a preferred vendor or list of vendorsrdquo
rdquoThe search results page further includes one or more items that when selected by the user lead to a product node for a particular product ldquo
Meta-Web
ldquothe registry establishes connections between objects stored in the registry the connections comprising typed lines between the registry objects
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Notability Notable type Notable Type Metrics and more
US20130110825
Expertise in Entities
Meta-Web patent mentions a ldquobuy buttonrdquo 10 times ndash it was a commercial startup
bill_slawski amp BarbaraStarr
Automated online purchasing system
Meta-Web
Delegated authority evaluation system
User Contributed Knowledge Database
Graph Store
Knowledge web
Meta-Web Search Results
US20040210602A1
ldquoGenerating a buy button with which the user can enter into a personalized purchase transaction to bring the user to a preferred vendor or list of vendorsrdquo
rdquoThe search results page further includes one or more items that when selected by the user lead to a product node for a particular product ldquo
Meta-Web
ldquothe registry establishes connections between objects stored in the registry the connections comprising typed lines between the registry objects
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
US20130110825
Expertise in Entities
Meta-Web patent mentions a ldquobuy buttonrdquo 10 times ndash it was a commercial startup
bill_slawski amp BarbaraStarr
Automated online purchasing system
Meta-Web
Delegated authority evaluation system
User Contributed Knowledge Database
Graph Store
Knowledge web
Meta-Web Search Results
US20040210602A1
ldquoGenerating a buy button with which the user can enter into a personalized purchase transaction to bring the user to a preferred vendor or list of vendorsrdquo
rdquoThe search results page further includes one or more items that when selected by the user lead to a product node for a particular product ldquo
Meta-Web
ldquothe registry establishes connections between objects stored in the registry the connections comprising typed lines between the registry objects
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Expertise in Entities
Meta-Web patent mentions a ldquobuy buttonrdquo 10 times ndash it was a commercial startup
bill_slawski amp BarbaraStarr
Automated online purchasing system
Meta-Web
Delegated authority evaluation system
User Contributed Knowledge Database
Graph Store
Knowledge web
Meta-Web Search Results
US20040210602A1
ldquoGenerating a buy button with which the user can enter into a personalized purchase transaction to bring the user to a preferred vendor or list of vendorsrdquo
rdquoThe search results page further includes one or more items that when selected by the user lead to a product node for a particular product ldquo
Meta-Web
ldquothe registry establishes connections between objects stored in the registry the connections comprising typed lines between the registry objects
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Automated online purchasing system
Meta-Web
Delegated authority evaluation system
User Contributed Knowledge Database
Graph Store
Knowledge web
Meta-Web Search Results
US20040210602A1
ldquoGenerating a buy button with which the user can enter into a personalized purchase transaction to bring the user to a preferred vendor or list of vendorsrdquo
rdquoThe search results page further includes one or more items that when selected by the user lead to a product node for a particular product ldquo
Meta-Web
ldquothe registry establishes connections between objects stored in the registry the connections comprising typed lines between the registry objects
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Meta-Web Search Results
US20040210602A1
ldquoGenerating a buy button with which the user can enter into a personalized purchase transaction to bring the user to a preferred vendor or list of vendorsrdquo
rdquoThe search results page further includes one or more items that when selected by the user lead to a product node for a particular product ldquo
Meta-Web
ldquothe registry establishes connections between objects stored in the registry the connections comprising typed lines between the registry objects
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquoGenerating a buy button with which the user can enter into a personalized purchase transaction to bring the user to a preferred vendor or list of vendorsrdquo
rdquoThe search results page further includes one or more items that when selected by the user lead to a product node for a particular product ldquo
Meta-Web
ldquothe registry establishes connections between objects stored in the registry the connections comprising typed lines between the registry objects
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
US201450100569A1
US20150100569A1
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools The knowledge may be in the form of documents or other media or it may be a descriptor of a book or other physical source
Knowledge web
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Brand Identifiers
Entity Identifiers
bill_slawski amp BarbaraStarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Providing search results based on a compositional query
Crowdsourcing user-provided identifiers and associating them with brand identities
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Entity Identifier
WO2014089769A1
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Brand Identifier
US20140250192A1
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquo In some implementations search results include results identifying entity references As used herein an entity reference is an identifier eg text or other information that refers to an entity For example an entity may be the physical embodiment of George Washington while an entity reference is an abstract concept that refers to George Washington Where appropriate based on context it will be understood that the term entity as used herein may correspond to an entity reference and the term entity reference as used herein may correspond to an entity In some implementations the search system may identify an entity type associated with an entity reference The entity type may be a categorization or classification used to identify entity references in the data structure For example the entity reference George Washington may be associated with the entity types U S President ldquo Person and Military Officerrdquordquo
Providing search results based on a compositional query
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Different user-provided brand identifiers are extracted from messages provided by users of a social network The identifiers are aggregated into two or more aggregate identity groups When a brand identifier associated with a user request for content is determined to be in at least one of the aggregate identity groups content items comprising one or more other brand identifiers of the at least one aggregate identity group are provided to the user
Crowdsourcing user-provided identifiers And associating them with brand identities
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
In Freebase
Internally in the upcoming API bill_slawski amp BarbaraStarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Meta-Web
Query Optimization
Providing Search Results based on a Compositional Query
Question answering using entity references in unstructured data
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Query Optimization
US20100121839A1
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquoentity references comprises ranking based on at least one ranking signal ldquo ldquoan entity result is selected from the one or more entity references based at least in part on the ranking An answer to the query is provided based at least in part on the entity resultrdquo
Question answering using entity references in unstructured data
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquoWe describe the query optimization Techniques used by graphd a schema-last automatically indexed tuple-store which Supports freebasecom a world-writable database We demonstrate that the techniques described deliver performance that is generally comparable with traditional cost-based optimization techniques applied to the relational modelrdquo
Query Optimization
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
More Revenue (ads)
Action - Entity Pairs
bill_slawski amp BarbaraStarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Entity-based searching with content selection
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
System and method for providing contextual actions on a search results page
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
US20140258014
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquoAnnotation describing a user interface that is to be visually displayed in connection with information identifying the document when the information identifying the document is included in a search results document the user interface including a user interface element that when selected causes an action to be performed in connection with the documentrdquo
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquoRetrieving search results based in part on the search query identifying an entity-action pair comprising the named entity and an online action associated with the entity conducting a content auction for the entity-action pair based in part on auction bids received for the entity-action pairs selecting third-party content based on a result of the content auctionrdquo
Entity-based searching with content selection
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Standardize Entities
Contexts Structure (IOT)
bill_slawski amp BarbaraStarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
Providing entity-specific content in response to a search query (Microsoft)
Entity detection and extraction for entity cards (Microsoft)
Providing entity-specific content in response to a search query (Microsoft)
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
US20120059838A1
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
httpswwwseroundtablecomgoogle-mobile-color-lines-19898html
Mobile Card Interface
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquoSeparate Templates may be used for separate factual entities In the case of a person the template may specify a description of the person and facts about the Person such as birthdate birth location career definitions and the likerdquo
Apparatus and Method for Supplying Search Results with a Knowledge Card (Unpublished Google Provisional Patent)
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
TemplatesCards are objects that know how to display (place) themselves Based on the device type
SERPS templates in this case are akin to ldquoresponsive designrdquo
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
As displayed in Blended Search Engine Results pages (SERPS)
Disparate data sourcessets mapped to distinct Search Engine Results Placements (SERPS)
bill_slawski amp BarbaraStarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Determination of a desired repository
Providing entity-specific content in response to a search query (Microsoft)
Interleaving search results
Browseable fact repository
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Browseable Fact Repository
US7774328B2
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Universal Search Repositories
US8266133B2
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquoA system receives a search query from a user and searches a group of repositories based on the search query to identify for each of the repositories a set of search results The system also identifies one of the repositories based on a likelihood that the user desires information from the identified repository and presents the set of search results associated with the identified repositoryrdquo
Determination of a desired repository
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
For Adwords Placement Panda traffic
For Data Quality
bill_slawski amp BarbaraStarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Classifying sites as low quality sites
Site quality score
Ranking search results
Predicting Site Quality
Providing a search results document that includes a user interface for performing an action in connection with a web page identified in the search results document
Focused Crawling for Structured Data (Paper)
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquoA link quality score is determined for the site using the number of resources in each resource quality group If the link quality score is below a threshold link quality score the site is classified as a low quality siterdquo
Classifying sites as low quality sites
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquoIn some implementations the search system identifies data in a data structure that includes quality scores Quality scores may be determined by global search history extracting scores from external websites search system developer input user preferences system settings predetermined parameters any other suitable technique or any combination thereof In an example the search system retrieves movie review scores from a website such as IMDB In another example the search system may retrieve restaurant reviews from YELP and a newspaper In some implementations multiple quality scores associated with an entity are combined in a weighted or unweighted techniquerdquo
Ranking search results based on entity metrics
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
ldquoWe propose new methods of focused crawling specifically designed for collecting data-rich pages with greater efficiency In particular we propose a novel combination of online learning and bandit-based exploreexploit approaches to predict data-rich web pages based on the context of the page as well as using feedback from the extraction of metadata from previously seen pages We show that these techniques significantly outperform state-of-the-art approaches for focused crawling measured as the ratio of relevant pages and non-relevant pages collected within a given budget rdquo
Focused Crawling For Structured Data
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
Bill Slawski GoFishDigital Director of Search Marketing Editor SEO by the Sea httpsplusgooglecomu0+BillSlawski httpstwittercombill_slawski httpswwwlinkedincominslawski
Barbara Starr Semantic Fuse
Managing Partner and Founder httpsplusgooglecomu0+BarbaraStarr httpstwittercomBarbaraStarr httpswwwlinkedincominbarbarastarr
![Deep Multi-Graph Clustering via Attentive Cross-Graph ...faculty.ist.psu.edu/xzz89/publications/wsdm20_dmgc.pdfto multi-graph setting, including the ranking problem [32], net-work](https://img.pdfslide.us/doc/110x75/5e8272c847d41d2fdd019999/deep-multi-graph-clustering-via-attentive-cross-graph-to-multi-graph-setting.jpg)
![Ranking and sparsifying a connection graph · Graph sparsi cation was rst introduced by Benczur and Karger [6, 23, 24, 25] for approximately solving various network design problems](https://img.pdfslide.us/doc/110x75/5f039a5f7e708231d409ddce/ranking-and-sparsifying-a-connection-graph-graph-sparsi-cation-was-rst-introduced.jpg)
