Solr site search makes shopping simple

Solr Site Search Makes Shopping Simple

September 21, 2011

Justin RobinsonEmail: jrobinson@crownpartners.com Office: (937)-723-2173Cell: (937)-684-2678

Ryan StreetEmail: rstreet@crownpartners.com Office: (937)-723-2306Cell: (937)-545-0496

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04/10/2023 © 2011 Crown Partners. All Rights Reserved. 3

What Is Solr?

• Open Source

• Enterprise Search Platform from Apache Lucene Project

• Scalable

– Distributed Search

– Index Replication

• Major Features

– Full-Text-Search

– Hit Highlighting

– Faceted Search

– Dynamic Clustering

– Database Integration

– Rich Document handling

Solr History

• Created in 2004 by Yonik Seeley at CNET Networks

• In January 2006, it was given to the Apache Software Foundation

• Throughout the next few years, it grew steadily with accumulated features thereby attracting a robust community of users, contributors, and committers.

• In March 2010, the Lucene and Solr projects merged.

Source http://wiki.apache.org/solr/PublicServers

Solr Users• Netflix

• eHarmony

• Sears

• Ticketmaster

• digg

• GameSpot

• CNET

• AOL

• eTrade

• Apple Inc.

Source: http://en.wikipedia.org/wiki/Apache_Solr

Solr Features• HTML administration interface

• Uses the Lucene library for full-text search

• Faceted navigation

• Hit highlighting

• Query language supports structured as well as textual search

• Replication to other Solr servers

• Distributed Search - enables scaling content volume

• Search results clustering

• Extensible through plugins

• Pluggable relevance - boost through formula

• Caching

• Embeddable in a Java Applications

Solr

Pluggable

Scalable

EmbeddableFaceted Nav.

Full Text Search

Source: http://en.wikipedia.org/wiki/Apache_Solr

Faceted Search

Faceted search is the dynamic clustering of items or search results into categories that let users drill into search results by any value in any field.

Faceted search has become a critical feature for enhancing findability and the user search experience for all types of search applications.

Why Magento + Solr?

• One of the keys to Solr success is the ability to index and easily integrate faceted search.

• Magento utilizes faceted filtering for its products through a robust set of customizable attributes.

• Solr utilizes Magento’s customizable product attributes to determine search results. This type of faceting will bring in more relevant results to the customer’s search.

• It’s easy to setup and use, (if you know what you’re doing)

Benefits of Solr + Magento

Increased Performance

Solr indexes Magento’s facets automatically for filtering and can therefore pull more relevant results faster than the out of the box MySQL.

Benefits of Solr + Magento

Increased Search Relevancy

Faceted indexes allow a customer to discover your products by more than just a product title or description. Magento’s facets can also be weighted to bring back more relevant results to the user based upon a search query.

Product Attributes

Product Description

Product

Title

Benefits of Solr + Magento

Support for Spelling/Synonyms/Stop Words

Solr allows for “fuzzy” searching with indexing and configuration files that let a site owner configure certain synonyms for common products or attributes. It also allows for returning results based upon misspellings or “close” results. It can remove common “stop words” from diluting your search results.

Search Results

Stop Words

Synonyms

Misspellings

Benefits of Solr + Magento

Improved Layered Navigation

Since Solr indexes Magento facets for searching, it can also bring them up and display them as facet filtering menus faster than Magento’s MySQL methods.

Questinos?(Solr would have known what I meant..)

Rob MillerEmail: rmiller@crownpartners.comOffice: (937)-723-2310Cell: (937)-723-2461