A Group Recommendation System for Movies based on MAS Movies

CHRISTIAN VILLAVICENCIO; ARIEL MONTESERIN; J. ANDRES DIAZ PACE; SILVIA SCHIAFFINO

Advances in Distributed Computing and Artificial Intelligence Journal

Salamanca University Press

Lugar: Salamanca; Año: 2016 vol. 5 p. 1 - 12

2255-2863

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.