On web communities mining and recommendation

Yanchun ZHANG, Guandong XU

Research output: Contribution to journalArticlespeer-review

5 Citations (Scopus)


Because of the lack of a uniform schema for web documents and the sheer amount and dynamics of web data, both the effectiveness and the efficiency of information management and retrieval of web data are often unsatisfactory when using conventional data management and searching techniques. To address this issue, we have adopted web mining and web community analysis approaches. On the basis of the analysis of web document contents, hyperlinks analysis, user access logs and semantic analysis, we have developed various approaches or algorithms to construct and analyze web communities, and to make recommendations. This paper will introduce and discuss several approaches on web community mining and recommendation. Copyright © 2009 John Wiley & Sons, Ltd.

Original languageEnglish
Pages (from-to)561-582
JournalConcurrency and Computation: Practice and Experience
Issue number5
Early online dateFeb 2009
Publication statusPublished - Apr 2009


Zhang, Y., & Xu, G. (2009). On web communities mining and recommendation. Concurrency and Computation: Practice and Experience, 21(5), 561-582. https://doi.org/10.1002/cpe.1366


  • Web community analysis
  • Linkage analysis
  • Web usage mining
  • Web recommendation


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