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Personalizing (Re-ranking) Web Search Results Using Information Present On A Social Network

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Personalizing (Re-ranking) Web Search Results Using Information Present On A Social Network

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dc.contributor.author Puttaswamy, Sushruth en_US
dc.date.accessioned 2007-08-23T01:56:00Z
dc.date.available 2007-08-23T01:56:00Z
dc.date.issued 2007-08-23T01:56:00Z
dc.date.submitted December 2006 en_US
dc.identifier.other DISS-1536 en_US
dc.identifier.uri http://hdl.handle.net/10106/64
dc.description.abstract We describe a social search engine paradigm which can be built on top of a classic search engine (e.g. Google, Yahoo, etc.) and a social information network (such as FriendSter). In this thesis, the objective was to design algorithms and develop methods to efficiently combine information available in the underlying systems (Search Engine & Social Information Network) to better satisfy the search needs of a user. We are interested on how to efficiently employ social information to re-order a list of URLs retrieved by querying a search engine. The objective was to re-order the list of URLs in a way that favors URLs that are more relevant to user's interest towards a personalized search engine. We conduct a thorough user study & come up with certain experiments to show some of the functionality of the system. en_US
dc.description.sponsorship Das, Gautam en_US
dc.language.iso EN en_US
dc.publisher Computer Science & Engineering en_US
dc.title Personalizing (Re-ranking) Web Search Results Using Information Present On A Social Network en_US
dc.type M.S. en_US
dc.contributor.committeeChair Das, Gautam en_US
dc.degree.department Computer Science & Engineering en_US
dc.degree.discipline Computer Science & Engineering en_US
dc.degree.grantor University of Texas at Arlington en_US
dc.degree.level masters en_US
dc.degree.name M.S. en_US
dc.identifier.externalLink https://www.uta.edu/ra/real/editprofile.php?onlyview=1&pid=178
dc.identifier.externalLinkDescription Link to Research Profiles

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