Analysis and Design of Personalized Recommender System Based on Collaborative Filtering

摘要：

Briefly introduces the concept of electronic commerce recommender system, functions and components, proposes the principle of recommender technology, systemically summarizes the various common recommender methods, and simply compares the advantages and disadvantages of these technologies. The collaborative filtering algorithm is emphasized and the advantages of the algorithm are analyzed, combining with the collaborative filtering algorithm based on the user and the item, the article puts forward an improved algorithm, at the same time, the article describes the design process and common problems of the personalized recommender system based on collaborative filtering algorithms. At last, the paper points out that the aspects which still need to be developed and improved, and the future research direction about the recommender system.

关键词： collaborative recommender e-commerce moduler algorithm

作者: Jiantao Zhao Hengwei Zhang Yue Lian

作者单位: Department of Control and Computer Engineering North China Electric Power University Beijing, China Beijing Gaoquan Technology Co.,LTD.Beijing, China

会议类型: 国际会议

会议名称: The 2011 International Workshop on Internet of Things Technology and Innovative Application Design(2011年国际物联网技术与创新应用设计研讨会IOT Workshop 2011)

会议地点: 北京

会议语种:英文

页码: 416-419

在线出版日期: 2011-08-24（万方平台首次上网日期，不代表论文的发表时间）