Personalization Portal System Based on Collaborative Filtering Algorithm
Existing collaborative filtering algorithms do not consider the change of user interests. For this reason, the systems may recommend unsatisfactory items when users interest has changed. To solve this problem, by analysising and collecting users information and behavior, proposed and established user-page matrix as a collaborative filtering algorithm interest matrix, and take the initiative to recommend relevant content to users. The improved algorithm has obviously improved on recommendation accuracy. The personalization portal system based on this has good effect in the fact
Portal Personalization Collaborative Filtering
Huanli Pang Lianzhe Zhou Hanmei Liu
College of Computer Science & Engineering Changchun University of Technology Changchun, China
国际会议
长春
英文
383-386
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）