On Web Communities Mining and Analysis
Due to 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 is often unsatisfactory when using conventional data management and searching techniques. To address this issue, we have adopted web mining and web community analysis approaches. Based on 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 various approaches on web community mining and recommendation.
Yanchun Zhang Guandong Xu
School of Computer Science & mathematics,Victoria University, Vic 8001, Australia
国际会议
2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)
西安
英文
2007-10-29(万方平台首次上网日期,不代表论文的发表时间)