Zhu, Jianhan; Hong, Jun and Hughes, John G.
|DOI (Digital Object Identifier) Link:||https://doi.org/10.1145/513338.513381|
|Google Scholar:||Look up in Google Scholar|
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.
|Item Type:||Conference Item|
|Keywords:||Markov models; hierarchy; link prediction|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Aneta Tumilowicz|
|Date Deposited:||25 Sep 2007|
|Last Modified:||04 Oct 2016 10:05|
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