Fine-Grained Recommendation Systems for Service Attribute Exchange

Abstract. The effectiveness of service oriented computing relies on the trustworthiness of sharing of data between services. We advocate a semi-automated approach for information distribution and sharing, assisted by a reputation system. Unlike current recommendation systems which provide a user with a general trust value for a service, we propose a reputation model which calculates trust neighbourhoods through fine-grained multi-attribute analysis. Such a model allows a recommendation relevance to improve whilst maintaining a large user group, propagating and evolving trust perceptions between users. The approach is demonstrated on a small example.

• Type: Journal
• Year: 2009
• Where: ICSOC
• Authors: Christopher Staite, Rami Bahsoon, Stephen Wolak
• Keywords: Applied Computing, Current Recommendation Systems, General Trust Value, ICSOC 2009, Trust