Usage of User Navigation Pattern Clustering in Web Personalized Recommendation
Jiao Linnan · Jisuanji gongcheng · 2006
In the personalized recommendation systems,the resulting association patterns do not perform well in predicting future browsing patterns.This paper proposes a new personalized recommendation method,which is applied to Web log mining by integrating user clustering and association-mining techniques to improve the Web personalized recommendation.The experiment result shows that the method can improve the precision rate and F rate of evaluation criteria effectively.