Using Markov models for web site link prediction Jianhan Zhu, Jun Hong, and John G. Hughes   View Paper (PDF)   Return to World Wide Web 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. DiSC'03 © 2003 Association for Computing Machinery