Personalized Recommendation Services Based on Service-Oriented Architecture

Authors:
Quan Wen;Jianmin He
Affiliations:
Southeast University, China/ The North University of Minorities, China;Southeast University, China
Venue:
APSCC '06 Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing
Year:
2006

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Abstract

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.