An Improved Personalized Recommendation System Research

摘要：

　　In order to find information of interest and found valuable information resources in enrich Internet data.This paper describes a personalized recommendation system,personalized recommendation system is an intelligent recommendation system to help e-commerce site for customers to provide complete personalized shopping decision support and information services.for the User Rating data extreme sparseness,This paper presents nearest neighbor collaborative filtering algorithm based on project score predicted,experiments show that this method can improve the quality of recommendation system.

关键词： Personalized recommendation association rules Collaborative filtering recommendation styling Project Score

作者: Xingyuan Li Qingshui Li

作者单位: Information Engineering College Ningbo Dahongying University Ningbo, China Computer Science and Technology College Zhejiang University of Technology Hangzhou, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 13-16

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）