Research on personalized recommendation algorithm based on web clustering
Zhisong Wang · Journal of Yanshan University · 2007
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.