Improvement of Similarity Algorithm in Collaborative Filtering Based on Stability Degree

摘要：

With the fast development of World Wide Wed, Web-based applications and services should allow user to get the right personalized information quickly and effectively. Collaborative Filtering acts a very important role in web service personalization and Recommender System. In this paper, Stability Degree was proposed to improve the accuracy of collaboration filtering both based on item and user, kinds of Stability Degree were introduced into item and user similarity computation, and the results show that the prediction accuracy can be improved from 10 percents to 25 percents in different case, using this improved similarity algorithm, MAE can be also reduced faster than classic methods.

关键词： stability degree similarity computation collaborative filtering personalized recommendation recommend system

作者: Xiangwei Mu Yan Chen Shuyong Liu

作者单位: Transportation Management CollegeDalian Maritime UniversityDalian, P.R.China, 116026 Transportation Management College Dalian Maritime University Dalian, P.R.China, 116026

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-5

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）