摘要
电子商务个性化推荐具有重要的意义。协同过滤是电子商务个性化的重要实现技术之一。本文针对UBCF和IBCF方法在应用实践上的问题,总结了目前文献对于协同过滤技术的改进思路,归纳了对于CF推荐技术的各种新型算法技术文献,总结了目前对于CF技术不同的改进思路。
Personalization in e-commerce manifests its importance increasingly. Collaborative filtering is one of the most important techniques of e-commerce personalization. This article presents several improvement methods for the CF recommedation technique,and summarizes the various novel algorithms and technical references, as well as some different improvement ideas.
出处
《计算机工程与科学》
CSCD
2008年第10期61-63,66,共4页
Computer Engineering & Science
关键词
电子商务
推荐系统
协同过滤
个性化
e-commerce
recommendation system
collaborative filtering
personalization
