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dc.contributor.advisorMidtstraum, Rogernb_NO
dc.contributor.advisorZoric, Josipnb_NO
dc.contributor.authorKismul, Hans Kristiannb_NO
dc.date.accessioned2014-12-19T13:30:51Z
dc.date.available2014-12-19T13:30:51Z
dc.date.created2010-09-02nb_NO
dc.date.issued2005nb_NO
dc.identifier346749nb_NO
dc.identifierntnudaim:1079nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/250125
dc.description.abstractIn this paper we look at ways to include context into link analysis algorithms used by search engines to help rank results. We review two basic link analysis algorithms, and propose two methods to include context into the algorithms, combining to a total of 6 different algorithms. We have implemented the algorithms in a domain, and conducted experiments with a number of users to see which algorithms produce the best results. Our conclusion is that context can help improve the results of the link analysis algorithms, but one has to take great care when implementing it, as there are many pitfalls of using context.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaimno_NO
dc.subjectSIF2 datateknikkno_NO
dc.subjectProgram- og informasjonssystemerno_NO
dc.titleExperiments on Context-Aware Link Analysis Algorithmsnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber82nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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