Study on Internet Recommendation System of Collaborative Filtering Based on Scatter Difference

摘要：

For the phonemon for over fitting in the current recommendation system, put forward using the fuzzy scatter difference to the recommendation algorithm. The algorithm avoids the robustness in original collaborative filtering recommendation system for only calculating the users similarities. The Experimental results show that the system has good accuracy and efficiency of the recommendation under the three indexes of MAE, RMSE and correlation, especially in the case of sparse initial data.

关键词： scatter difference over-fitting recommendation system

作者: Yuxi Gong Qingjun Xue

作者单位: Institute of Computer Engineering Qingdao Technological University Qingdao, China Institute of Information and Electrical Engineering Shandong University of Science and Technology Qi

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 160-163

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）