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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Format: | Article |
Language: | English |
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Ediciones Universidad de Salamanca
2016-12-01
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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> |
first_indexed | 2024-12-21T01:18:09Z |
format | Article |
id | doaj.art-d3a96e68d576428eab60336b81d59111 |
institution | Directory Open Access Journal |
issn | 2255-2863 |
language | English |
last_indexed | 2024-12-21T01:18:09Z |
publishDate | 2016-12-01 |
publisher | Ediciones Universidad de Salamanca |
record_format | Article |
series | Advances in Distributed Computing and Artificial Intelligence Journal |
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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