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Personalized Recommendation Services Based on Service-Oriented Architecture

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2 Author(s)
Quan Wen ; Dept. of Manage. Eng., Southeast Univ., Nanjing ; Jianmin He

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

Published in:

Services Computing, 2006. APSCC '06. IEEE Asia-Pacific Conference on

Date of Conference:

Dec. 2006