关键词: 子商务 推荐系统 协同过滤 个性化

Abstract:

Personalization in e-commerce manifests its importance increasingly. Collaborative filtering is one of the most important techniques of e-commerce per  sonalization. This article presents several improvement methods for the CF recommedation technique,and summarizes the various novel algorithms and techn   ical references, as well as some different improvement ideas.

Key words: e-commerce, recommendation system, collaborative filtering, personalization