The Application of Web Log in Collaborative Filtering Recommendation Algorithm
Collaborative filtering algorithm has been widely used in the electronic commerce recommendation system in recent yean, but collaborative filtering algorithm also has some problems, such as data sparseness and lack of individuation, these problems affected the efficiency and accuracy of recommendation algorithm. According to the problems, this paper proposes the method of Web log analysis and user clustering related technology, this method transform implicit interest to explicit interest of user for commodities, it not only solves the problem sparse data also improve the recommend of accuracy.
log analyze user clustering collaborative filtering electronic commerce
Xie Qian Zhang Xiaohui
Software College Kaifeng University Kaifeng, China Department of Information Engineering Yellow River Conservancy Technical Institute Kaifeng, China
国际会议
哈尔滨
英文
2648-2650
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）