Using negotiation for group recommendation : A user-study on the movies domain
Providing recommendations to groups of users has become popular in many applications today. Even though there are several group recommendation techniques, the generation of recommendations that satisfy the group members in an even way remains a challenge. Because of this, we have developed a multi-a...
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| Autores principales: | , , , |
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| Formato: | Articulo |
| Lenguaje: | Inglés |
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2018
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/135217 https://publicaciones.sadio.org.ar/index.php/EJS/article/view/45 |
| Aporte de: |
| id |
I19-R120-10915-135217 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas sistema de recomendación Intelligent agents Multiagent systems Grupo de usuarios |
| spellingShingle |
Ciencias Informáticas sistema de recomendación Intelligent agents Multiagent systems Grupo de usuarios Villavicencio, Christian Schiaffino, Silvia Diaz Pace, J. Andrés Monteserin, Ariel Using negotiation for group recommendation : A user-study on the movies domain |
| topic_facet |
Ciencias Informáticas sistema de recomendación Intelligent agents Multiagent systems Grupo de usuarios |
| description |
Providing recommendations to groups of users has become popular in many applications today. Even though there are several group recommendation techniques, the generation of recommendations that satisfy the group members in an even way remains a challenge. Because of this, we have developed a multi-agent approach called MAGReS that relies on negotiation techniques to improve group recommendations. Our approach was tested (on the movies domain) using synthetic data with satisfactory results. Given that the results when using synthetic data may sometimes dier with reality, we decided to assess MAGReS using data from real users. The results obtained showed rstly that, in comparison with the recommendations produced by a traditional approach, the recommendations of MAGReS produce a greater level of satisfaction to the group, and secondly that the proposed approach was able to predict more accurately the satisfaction levels of the group members. Finally, we could obtain some preliminary feedback regarding the explanations provided by the recommender system. |
| format |
Articulo Articulo |
| author |
Villavicencio, Christian Schiaffino, Silvia Diaz Pace, J. Andrés Monteserin, Ariel |
| author_facet |
Villavicencio, Christian Schiaffino, Silvia Diaz Pace, J. Andrés Monteserin, Ariel |
| author_sort |
Villavicencio, Christian |
| title |
Using negotiation for group recommendation : A user-study on the movies domain |
| title_short |
Using negotiation for group recommendation : A user-study on the movies domain |
| title_full |
Using negotiation for group recommendation : A user-study on the movies domain |
| title_fullStr |
Using negotiation for group recommendation : A user-study on the movies domain |
| title_full_unstemmed |
Using negotiation for group recommendation : A user-study on the movies domain |
| title_sort |
using negotiation for group recommendation : a user-study on the movies domain |
| publishDate |
2018 |
| url |
http://sedici.unlp.edu.ar/handle/10915/135217 https://publicaciones.sadio.org.ar/index.php/EJS/article/view/45 |
| work_keys_str_mv |
AT villavicenciochristian usingnegotiationforgrouprecommendationauserstudyonthemoviesdomain AT schiaffinosilvia usingnegotiationforgrouprecommendationauserstudyonthemoviesdomain AT diazpacejandres usingnegotiationforgrouprecommendationauserstudyonthemoviesdomain AT monteserinariel usingnegotiationforgrouprecommendationauserstudyonthemoviesdomain |
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Repositorios |
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