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《Journal of Yanshan University》 2007-03
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Research on personalized recommendation algorithm based on web clustering

WANG Zhi-song~1 ZHANG Jing-lei~2 1.College of Mechanical Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China; 2.College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China  
As a main web usage mining technology,the clustering algorithm has been widely used in the personalized recommen- dation systems.However,because the update of the web caused by the dynamic web and the change of the user's browsing,the existent clustering algorithm can not solve this problem very well.Here a kind of no-direction graph is employed to express the user's browsing on the web.And a incremental web clustering algorithm that can represent the change of user browsing behavior is proposed in this paper.Based on this,a dynamic web recommendation algorithm is given.
【CateGory Index】: TP301.6
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