A Group Recommendation System for Movies based on MAS

<p>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 a...

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Main Authors: Christian Paulo VILLAVICENCIO, Silvia SCHIAFFINO, J. Andrés DÍAZ-PACE, Ariel MONTESERIN
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2016-12-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
Online Access:https://revistas.usal.es/index.php/2255-2863/article/view/15162
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author Christian Paulo VILLAVICENCIO
Silvia SCHIAFFINO
J. Andrés DÍAZ-PACE
Ariel MONTESERIN
author_facet Christian Paulo VILLAVICENCIO
Silvia SCHIAFFINO
J. Andrés DÍAZ-PACE
Ariel MONTESERIN
author_sort Christian Paulo VILLAVICENCIO
collection DOAJ
description <p>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.</p>
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spelling doaj.art-d3a96e68d576428eab60336b81d591112022-12-21T19:20:44ZengEdiciones Universidad de SalamancaAdvances in Distributed Computing and Artificial Intelligence Journal2255-28632016-12-015311210.14201/ADCAIJ20165311213596A Group Recommendation System for Movies based on MASChristian Paulo VILLAVICENCIO0Silvia SCHIAFFINO1J. Andrés DÍAZ-PACE2Ariel MONTESERIN3ISISTAN, UNICENISISTAN, UNICENISISTAN, UNICENISISTAN, UNICEN<p>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.</p>https://revistas.usal.es/index.php/2255-2863/article/view/15162multi-agent systemsrecommender systemsgroup recommendation
spellingShingle Christian Paulo VILLAVICENCIO
Silvia SCHIAFFINO
J. Andrés DÍAZ-PACE
Ariel MONTESERIN
A Group Recommendation System for Movies based on MAS
Advances in Distributed Computing and Artificial Intelligence Journal
multi-agent systems
recommender systems
group recommendation
title A Group Recommendation System for Movies based on MAS
title_full A Group Recommendation System for Movies based on MAS
title_fullStr A Group Recommendation System for Movies based on MAS
title_full_unstemmed A Group Recommendation System for Movies based on MAS
title_short A Group Recommendation System for Movies based on MAS
title_sort group recommendation system for movies based on mas
topic multi-agent systems
recommender systems
group recommendation
url https://revistas.usal.es/index.php/2255-2863/article/view/15162
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AT arielmonteserin agrouprecommendationsystemformoviesbasedonmas
AT christianpaulovillavicencio grouprecommendationsystemformoviesbasedonmas
AT silviaschiaffino grouprecommendationsystemformoviesbasedonmas
AT jandresdiazpace grouprecommendationsystemformoviesbasedonmas
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