Personalized Recommendation Services Based on Service-Oriented Architecture

摘要：

Recommendation systems are special personalization tools that help users to find interesting information and services. This paper proposes a personalized recommendation system based on service-oriented architectures (SOAs). It introduces service-oriented recommendation technologies such as recommendation engines, data mining, content-based approach and collaborative filtering. It discusses service-oriented architecture, especially for service discovery and SOA for recommendation system. Then, it analyzes personalized recommendation system and proposes relative system architectures. Finally, it gives a case study about e-shop recommendation to illustrate the novel services.

作者: Quan Wen Jianmin He

作者单位: Dept. of Management Engineering, Southeast University, Nanjing 210096, P. R. China;Dept. of Computer Dept. of Management Engineering, Southeast University, Nanjing 210096, P. R. China

会议类型: 国际会议

会议名称: 2006 Asia-Pacific Services Computing Conference(IEEE亚太地区服务计算会议)

会议地点: 广州

会议语种:英文

页码: 356-361

在线出版日期: 2006-12-12（万方平台首次上网日期，不代表论文的发表时间）