Using Markov models for web site link prediction

Zhu, Jianhan; Hong, Jun and Hughes, John G. (2002). Using Markov models for web site link prediction. In: Proceedings of the Thirteenth ACM conference on Hypertext and Hypermedia (Hypertext'02), 11-15 Jun 2002, College Park, Maryland, USA.

DOI: https://doi.org/10.1145/513338.513381

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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About

• Item ORO ID
• 9057
• Item Type
• Conference or Workshop Item
• Keywords
• Markov models; hierarchy; link prediction
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Depositing User
• Aneta Tumilowicz