User Profiling Based on Similarity, Trust and Reputation

Abstract

This paper offers a proposal for user profiling based on similarity, trust and reputation notions. We present a general profile ontology to model the basic concepts related to the profile assignment process. Based on this ontology, we propose an adaptive mechanism to guide the interactions between user and broker agents aimed to select the most suitable profile taking into account the user's requirements and preferences. Broker agents estimate the suitability of the profiles using trust and reputation information coming from its own experiences or from other brokers. Under uncertainty conditions, similarity between two set of user's requirements and preferences is also used. The evaluation of suitability of each suggested profile to the user's requirements and the similarity between two set ofuser's requirements are based on the service discovery processes proposed by WSMO.