Jianhan Zhu
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.
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Cross Ref
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- Zhu, J., Hong, J., and Hughes, J., (2002). Using Markov Chains for Link Prediction in Adaptive Web Sites. In Proc. of Soft-Ware 2002: Computing in an Imperfect World, Springer-Verlag LNCS 2311, pp. 60--73]] Google Scholar
Index Terms
- Using Markov models for web site link prediction
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