会议专题

Finding Communities Using User Preference in Web Structure Mining

Web structure mining is the method based on the graph structure of hyperlinks, and it does not use the information of web contents. HITS algorithm and PageRank algorithm are popular methods for web structure mining. In this study, we deal with the finding algorithm of web communities in web structure mining. This algorithm receives some URLs of users known web pages, and proposes to the user the candidates of pages in the web community by using the structure of bipartite graph. We investigate the effect of introduction of user preference to each known pages, and discuss the way to improve the finding algorithm of web communities.

Web Community Web Structure Mining User Preference

Takeshi Yoshikawa Hidetoshi Nonaka

Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan

国际会议

The 4th International Symposium on Computational Intelligence and Industrial Application(第四届国际计算智能和工业应用研讨会)

哈尔滨

英文

183-186

2010-08-01(万方平台首次上网日期,不代表论文的发表时间)