Incorporating the surfing behavior of web users into PageRank

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buir.contributor.authorAykanat, Cevdet
dc.citation.epage2356en_US
dc.citation.spage2351en_US
dc.contributor.authorAshyralyyev, Shatlyken_US
dc.contributor.authorCambazoğlu, B. B.en_US
dc.contributor.authorAykanat, Cevdeten_US
dc.coverage.spatialSan Francisco, California, USA
dc.date.accessioned2016-02-08T12:04:03Z
dc.date.available2016-02-08T12:04:03Z
dc.date.issued2013-10-11en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 27 October - 01 November, 2013
dc.descriptionConference name: CIKM '13 Proceedings of the 22nd ACM international conference on Information & Knowledge Management
dc.description.abstractIn large-scale commercial web search engines, estimating the importance of a web page is a crucial ingredient in ranking web search results. So far, to assess the importance of web pages, two different types of feedback have been taken into account, independent of each other: the feedback obtained from the hyperlink structure among the web pages (e.g., PageRank) or the web browsing patterns of users (e.g., BrowseRank). Unfortunately, both types of feedback have certain drawbacks. While the former lacks the user preferences and is vulnerable to malicious intent, the latter suffers from sparsity and hence low web coverage. In this work, we combine these two types of feedback under a hybrid page ranking model in order to alleviate the above-mentioned drawbacks. Our empirical results indicate that the proposed model leads to better estimation of page importance according to an evaluation metric that relies on user click feedback obtained from web search query logs. We conduct all of our experiments in a realistic setting, using a very large scale web page collection (around 6.5 billion web pages) and web browsing data (around two billion web page visits). Copyright is held by the owner/author(s).en_US
dc.identifier.doi10.1145/2505515.2505668en_US
dc.identifier.urihttp://hdl.handle.net/11693/27892
dc.language.isoEnglishen_US
dc.publisherACM
dc.relation.isversionofhttps://doi.org/10.1145/2505515.2505668en_US
dc.source.titleInternational Conference on Information and Knowledge Management, Proceedingsen_US
dc.subjectBrowseRanken_US
dc.subjectPage qualityen_US
dc.subjectPageRanken_US
dc.subjectRankingen_US
dc.subjectWeb searchen_US
dc.subjectHypertext systemsen_US
dc.subjectKnowledge managementen_US
dc.subjectOnline searchingen_US
dc.subjectSearch enginesen_US
dc.subjectWebsitesen_US
dc.titleIncorporating the surfing behavior of web users into PageRanken_US
dc.typeConference Paperen_US

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