Personalized Service Recommendation Algorithm

摘要：

In this paper, we present personalized service recommendation algorithm PSRA. Based on web service semantics, demographic factors and users’ recommendation ratings and by redefining similarity measurement, PSRA presents different succeeding service recommendation towards the same current service to meet users’ personalized needs. Experiment results show that our algorithm is feasible and effective in practical utility.

关键词： personalized service recommendation demographic factors users’ similarities

作者: Lei Zhang Xiang-wu Meng Jun-liang Chen Kun Duan Yong Peng

作者单位: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Computer Science and Information Technology(第二届计算机科学与信息技术国际会议 ICCSIT2009)

会议地点: 北京

会议语种:英文

页码: 2470-2474

在线出版日期: 2009-08-08（万方平台首次上网日期，不代表论文的发表时间）