Reputation in User Profiling for a Context-aware MultiAgent System
نویسندگان
چکیده
This paper aims at advancing one of the key elements in context-aware services that will make feasible the development of advanced applications of personalized agents: user profiles. These applications should be here understood as ones where mobile services, whichever they are, are provided to the final user in a distributed (agent-based) and personalized way. We examine how to provide this personalization through user profiles inferred mostly from unobtrusively monitored behavior, reducing as much as it is possible the human feedback required. Profiles will contain preferences about services, products, but also about agents representing providers and clients. This last type of preferences take the form of reputations. This part of the profile is then managed by a complex reputation model developped and tested by some of the authors in previous works. Finally, an ontological approach is applied to integrate reasoning about the three types of preferences of the user profile in the messages exchanged by agents.
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