A Group Recommendation System for Movies based on MAS

Christian Paulo VILLAVICENCIO, Silvia SCHIAFFINO, J. Andrés DÍAZ-PACE, Ariel MONTESERIN

Abstract


Providing recommendations to groups of users has become popular in many applications today. Although several group recommendation techniques exist, the generation of items that satisfy all group members in an even way still remains a challenge. To this end, we have developed a multi-agent approach called PUMAS-GR that relies on negotiation techniques to improve group recommendations. We applied PUMAS-GR to the movies domain, and used the monotonic concession protocol to reach a consensus on the movies proposed to a group.


Keywords


Multi-Agent Systems; Recommender Systems; Group Recommendation

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References


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DOI: http://dx.doi.org/10.14201/ADCAIJ201653112





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