Using Markov models for web site link prediction

Authors:
Jianhan Zhu;Jun Hong;John G. Hughes
Affiliations:
University of Ulster at Jordanstown, Newtownabbey, Co. Antrim, UK;University of Ulster at Jordanstown, Antrim, UK;University of Ulster at Jordanstown, Antrim, UK
Venue:
Proceedings of the thirteenth ACM conference on Hypertext and hypermedia
Year:
2002

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Abstract

Markov models have been extensively used to model Web users' navigation behaviors on Web sites. The link structure of a Web site can be seen as a citation network. By applying bibliographic co-citation and coupling analysis to a Markov model constructed from a Web log file on a Web site, we propose a clustering algorithm called CitationCluster to cluster conceptually related pages. The clustering results are used to construct a conceptual hierarchy of the Web site. Markov model based link prediction is integrated with the hierarchy to assist users' navigation on the Web site.