A Group Recommendation System for Movies based on MAS

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ISSN online: 2255-2863

Prefijo Doi: 10.14201

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Christian Paulo Villavicencio
ISISTAN, UNICEN
Argentina
Silvia Schiaffino
ISISTAN, UNICEN
Argentina
J. Andrés Díaz-Pace
ISISTAN, UNICEN
Argentina
Ariel Monteserin
ISISTAN, UNICEN
Argentina
Vol. 5 No. 3 (2016), Articles, pages 1-12
DOI: https://doi.org/10.14201/ADCAIJ201653112
Accepted: Nov 15, 2016
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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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