Artículo
A Group Recommendation System for Movies based on MAS
Villavicencio, Christian Paulo
; Schiaffino, Silvia Noemi
; Diaz Pace, Jorge Andres
; Monteserin, Ariel José
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Fecha de publicación:
11/2016
Editorial:
Salamanca University Press
Revista:
Advances in Distributed Computing and Artificial Intelligence Journal
ISSN:
2255-2863
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
Multi-Agent Systems
,
Recommender Systems
,
Group Recommendation
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Colecciones
Articulos(ISISTAN)
Articulos de INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Articulos de INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Citación
Villavicencio, Christian Paulo; Schiaffino, Silvia Noemi; Diaz Pace, Jorge Andres; Monteserin, Ariel José; A Group Recommendation System for Movies based on MAS; Salamanca University Press; Advances in Distributed Computing and Artificial Intelligence Journal; 5; 3; 11-2016; 1-12
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