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AClustering Web user based on interest similarity

ZHANG Wen-dong，YI Yi-hu   

  1. Institute of Compute & Communication Engineering, China University of Petroleum, Dongying 257061, Shangdong, China
  • Received:2006-03-29 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: ZHANG Wen-dong

Abstract: It is a key aspect of Web mining to cluster user in terms of browsing interest on Web.The page content and browsing path are takedn into account in measurement of browsing interest. Whereafter, new method is brought forth to calculate similarity of interest and users are clustered by using transitive closure algorithm.Result of experimnet shows new method can efficiently improve precision of clustering.

Key words: user clustering , similarity, browsing interest

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