Improvement of Collaborative Filtering Algorithm Based on Hesitation Degree

摘要：

Abstract- 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, Hesitation Degree was proposed to improve the accuracy of collaboration filtering both based on item and user, kinds of Hesitation Degree were introduced into item and user similarity computation, and the results show that the prediction accuracy can be improved from 10 per cents to 25 percents in different case, using this improved similarity algorithm, Mean Absolute Error can be also reduced faster than classic methods.

作者: Xiangwei Mu Yan Chen Jinsong Zhang

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

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: 302-305

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）