A Collaborative Filtering Algorithm Based on Rating Distribution

摘要：

Collaborative filter algorithms are one of the most successful recommender technologies in the world, and have been widely adopted in E-commerce. However,these approaches always suffer from poor prediction quality problem. We analyzed the rating distribution of dataset, and dig out that most of the users are interested on several specific topics, which show the users true interest. So we propose a new collaborative filtering algorithm based on rating distribution (BRDCF). Finally, we experimentally evaluate our approach and compare it with classical collaborative filtering methods;the results demonstrate the effectiveness of our approach.

作者: Deng Shuangyi He Liang Xia weiwei

作者单位: Computer Science and Technology,East China Normal University,Shanghai,200241

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 1118-1122

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）