A MAS approach for group recommendation based on negotiation techniques

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Abstract

Providing recommendation to groups of users has become a promising research area, since many items tend to be consumed by groups of people. Various techniques have been developed aiming at making recommendations to the group as a whole, but satisfying all group members in an even way still remains as a challenge. We propose a multi-agent approach based on negotiation techniques for group recommendation. In this approach we use the multilateral monotonic concession protocol to combine individual recommendations into a group recommendation. We applied our proposal in the movies domain. The results obtained indicate that using this negotiation protocol, users in the groups were more evenly satisfied than with traditional ranking aggregation approaches.

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APA

Villavicencio, C., Schiaffino, S., Diaz-Pace, J. A., Monteserin, A., Demazeau, Y., & Adam, C. (2016). A MAS approach for group recommendation based on negotiation techniques. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9662, pp. 219–231). Springer Verlag. https://doi.org/10.1007/978-3-319-39324-7_19

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