Application and Research of Collaborative Filtering in E-commerce Recommendation System

摘要：

in this paper, through the study of the existing collaborative filtering technologies and the e-commerce recommendation system concepts, architecture and the main recommendation technology and development, an improved collaborative filtering algorithm is designed and implemented. This algorithm can solve the scalability problem general collaborative filtering algorithms can not solve to some extent, thus the recommendation quality can be greatly improved.

关键词： e-commerce collaborative filtering recommendation algorithm

作者: Hu Jinming

作者单位: Hebei University of technoloy Langfang Department, 065000

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

会议地点: 成都

会议语种:英文

页码: 686-689

在线出版日期: 2010-07-07（万方平台首次上网日期，不代表论文的发表时间）