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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Using Agents for Generating Personalized Recommendations of Multimedia Contents
verfasst von : Domenico Rosaci, Giuseppe M. L. Sarné
Erschienen in: AI*IA 2013: Advances in Artificial Intelligence
Verlag: Springer International Publishing
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Agent-based recommender systems assist users based on their preferences and those of similar users. However, when dealing with multimedia contents they need of: (
i
) selecting as recommenders those users that have similar profiles and that are reliable in providing suggestions and (
ii
) considering the effects of the device currently exploited. To address these issues, we propose a multi-agent architecture, called MART, conceived to this aim and based on a particular trust model. Some experimental results are presented to evaluate our proposal, that show MART is more effective, in terms of suggestion quality, than other agent-based recommenders.