PUMAS-GR: A Negotiation-Based Group Recommendation System for Movies

CHRISTIAN VILLAVICENCIO; ARIEL MONTESERIN; SILVIA N. SCHIAFFINO; JORGE ANDRES DIAZ PACE

LECTURE NOTES IN COMPUTER SCIENCE

Springer International Publishing

Año: 2016

0302-9743

Providing recommendations to groups of users has becomepopular in many applications today. Although several group recommendationtechniques exist, the generation of items that satisfy all groupmembers in an even way still remains a challenge. To this end, wehave developed a multi-agent approach called PUMAS-GR that relies onnegotiation techniques to improve group recommendations. We appliedPUMAS-GR to the movies domain, and used the monotonic concessionprotocol to reach a consensus on the movies proposed to a group.