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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Notes
- 1.
Personalized User-centered Multi-Agent Systems, name of the supporting project.
- 2.
Although this generalization might lead to deadlock, some ways around to avoid the problem can be exploited.
- 3.
The demonstration follows from that for Utilitarian concession [6].
- 4.
- 5.
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Acknowledgments
This work has been funded by projects PICT2011-0366, PIP112-201101-00078, and by “PUMAS” CONICET-CNRS cooperation project.
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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: Demazeau, Y., Ito, T., Bajo, J., Escalona, M. (eds) Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection. PAAMS 2016. Lecture Notes in Computer Science(), vol 9662. Springer, Cham. https://doi.org/10.1007/978-3-319-39324-7_19
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