Name
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. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1145/513338.513381 | Hypertext 1999 |
Keywords | Field | DocType |
markov model,navigation behavior,web user,link structure,conceptual hierarchy,link prediction,clustering result,clustering algorithm,web site,web log file,web site link prediction,markov models,hierarchy | Data mining,World Wide Web,Maximum-entropy Markov model,Computer science,Markov model,Citation network,Hierarchy,Cluster analysis,Web site | Conference |
ISBN | Citations | PageRank |
1-58113-477-0 | 44 | 1.79 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianhan Zhu | 1 | 474 | 28.87 |
| Jun Hong | 2 | 91 | 5.76 |
| John G. Hughes | 3 | 326 | 59.84 |