Personalized web search based on user conceptual index

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dc.contributor.guideGeetha T Ven_US
dc.coverage.spatialPersonalized web search based on user conceptual indexen_US
dc.creator.researcherSendhilkumar Sen_US
dc.date.accessioned2015-01-09T06:41:47Z
dc.date.available2015-01-09T06:41:47Z
dc.date.awarded30/03/2009en_US
dc.date.completed01/03/2009en_US
dc.date.issued2015-01-09
dc.date.registeredn.d.en_US
dc.description.abstractThe web creates new challenges for information retrieval Because newlineof the phenomenal growth of web searching for particular information newlineconsumes more time Search engines are one of the most publicly visible newlinerealizations of information retrieval technology because they critically help newlineusers in finding relevant information on the World Wide Web WWW newlineTraditional search engines obtain the results by keyword based newlinetechniques and finally retrieve thousands of result pages of which only a newlinehandful are relevant In addition WWW data and the web users are so newlinedynamic and it is difficult to capture the user preferences and interests without newlineinterfering with the normal activity of the user newline newlineen_US
dc.description.noteReference p. 171-187en_US
dc.format.accompanyingmaterialNoneen_US
dc.format.dimensions23cmen_US
dc.format.extentxx, 191p.en_US
dc.identifier.urihttp://hdl.handle.net/10603/32731
dc.languageEnglishen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.relationp. 171-187en_US
dc.rightsuniversityen_US
dc.source.universityUniversityen_US
dc.subject.keywordinformation and communication engineeringen_US
dc.subject.keywordPersonalized web searchen_US
dc.subject.keyworduser conceptual indexen_US
dc.titlePersonalized web search based on user conceptual indexen_US
dc.title.alternativeen_US
dc.type.degreePh.D.en_US

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