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dc.contributor.advisorUlusoy, Özgür
dc.contributor.authorYılmaz, Oğuz
dc.date.accessioned2016-01-08T18:24:51Z
dc.date.available2016-01-08T18:24:51Z
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/11693/15802
dc.descriptionAnkara : The Department of Computer Engineering and the Graduate School of Engineering and Science of Bilkent University, 2012.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2012.en_US
dc.descriptionIncludes bibliographical references leaves 53-60.en_US
dc.description.abstractThe internet is growing day-by-day and the usage of web search engines is continuously increasing. Main page of browsers started by internet users is typically the home page of a search engine. To navigate a certain web site, most of the people prefer to type web sites’ name to search engine interface instead of using internet browsers’ address bar. Considering this important role of search engines as the main entry point to the web, we need to understand Web searching trends that are emerging over time. We believe that temporal analysis of returned query results by search engines reveals important insights for the current situation and future directions of web searching. In this thesis, we provide a large-scale analysis of the evolution of query results obtained from a real search engine at two distant points in time, namely, in 2007 and 2010, for a set of 630000 real queries. Our analyses in this work attempt to find answers to several critical questions regarding the evolution of Web search results. We believe that this work, being a large-scale longitudinal analysis of query results, would shed some light on those questions.en_US
dc.description.statementofresponsibilityYılmaz, Oğuzen_US
dc.format.extentix, 60 leavesen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectWeb search enginesen_US
dc.subjectQuery resultsen_US
dc.subjectLongitudinal analysisen_US
dc.subject.lccTK5105.884 .Y55 2012en_US
dc.subject.lcshSearch engines--Programming.en_US
dc.subject.lcshWeb search engines--Mathematical models.en_US
dc.subject.lcshInformation storage and retrieval systems.en_US
dc.subject.lcshInformation retrieval.en_US
dc.subject.lcshInternet searching.en_US
dc.titleLongitudinal analysis of search engine query logs - temporal coverageen_US
dc.typeThesisen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidB133970


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