PowerPoint Presentation

PERSONALIZED SEARCH ENGINE USING FEEDBACKS FROM SOCIAL NETWORK

PROJECT MEMBERS

N.KARTHIKEYEN M.B.GURUMOORTHY V.MANIGANDAN V.THIRUVENKATAPRASAD

PROJECT GUIDE: Asst.Prof.Ms.S.Murugavalli

ABSTRACT

Different users may have different search goals when they submit it to a search engine, it inference and analyze the keyword the user used and produce the relevant result to the user keyword.

We propose a novel approach to infer user search goals by analyzing the users social network feedbacks.

The search result will be a personalized one, the search result will be more relevant to the user than just sticking into users keyword.

INTRODUCTION

In web search applications, queries are submitted to search engines to represent the information needed by the user. sometimes queries may not exactly represent users specific information , since many ambiguous queries may cover a broad topic and different users may want to get information on different aspects when they submit the same query.

It is necessary and potential to capture different user search goals in information retrieval and produce the result which is relevant to the user.

The inference and analysis of user search goals using their social networking feedback can have a lot of advantages in improving search engine relevance and user experience.

EXISTING SYSTEM

EXISTING SYSTEMThe existing system in personalized search engine is customizing the search result based on the click through of the URL by the user or using his web history.

Another customized search is done by collecting the previous search queries forming a cluster and producing a customized result.

Limitation to the Existing system * Number of clicked URLs query may be small. * Noisy search result.

REAL TIME EXISTING SYSTEMIn Real time the personalized search is used in Google website and Bing website.

In Google the signed In search history is maintained and by using the search history the queries are been predicted.

In Bing the web browser history is used as a feedback and personalized search is been done.

PROPOSED SYSTEM

PROPOSED SYSTEMWe propose a approach to personalize the search result through the user feedback from his social networking sites.

In social networking sites the user will be given his personnel interest and by getting those feedback the search result will be structured.

By also using the clustering technique the search results are re structured so the user will get the exact sense he is searching.

The advantage of the proposed system is the user result will be so relevant to the user than his keyword.

APPROCH FROM EXISTING SYSTEM TO PROPOSED SYSTEMIn existing system the user click through URLs are used to re structure the result probably the user web history do not show the interest of the user.

Noisy results will be produced , but in proposed system as the feedback is retrieved from the social networking sites. In that the user would given his interest and likes.

Analyzing the user interaction with the social networking page the search result will be more relevant to the user.

MODULES

MODULESMODULE 1 SEARCHING THE AMBIGIOUS QUERRY IN SOCIAL NETWORKING FEEDBACK USING KEYWORD SEARCH.

MODULE 2- FEEDBACK ANALYSING SESSION.

MODULE 3-CONVERTING THEM IN TO PSEUDO DOCUMENTS AND CLUSTERING.

MODULE 4-CLUSTERING THE SEARCH GOALS.

REFERENCE A New Algorithm for Inferring User Search Goals with Feedback Sessions Zheng Lu, Student Member, IEEE, Hongyuan Zha, Xiaokang Yang, Senior Member, IEEE,Weiyao Lin, Member, IEEE, and Zhaohui Zheng

PUBLISHED IN IEEE JOURNAL ON MARCH 2013.

THANK YOU!!!