A Group Recommendation System for Movies based on MAS

Autores
Villavicencio, Christian Paulo; Schiaffino, Silvia Noemi; Diaz Pace, Jorge Andres; Monteserin, Ariel José
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Villavicencio, Christian Paulo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Diaz Pace, Jorge Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Monteserin, Ariel José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Materia
MULTI-AGENT SYSTEMS
RECOMMENDER SYSTEMS
GROUP RECOMMENDATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/58401
Acceder
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network_name_str CONICET Digital (CONICET)
spelling A Group Recommendation System for Movies based on MASVillavicencio, Christian PauloSchiaffino, Silvia NoemiDiaz Pace, Jorge AndresMonteserin, Ariel JoséMULTI-AGENT SYSTEMSRECOMMENDER SYSTEMSGROUP RECOMMENDATIONhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Providing 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.Fil: Villavicencio, Christian Paulo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Diaz Pace, Jorge Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Monteserin, Ariel José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaSalamanca University Press2016-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/58401Villavicencio, 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; 1-122255-2863CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.14201/ADCAIJ201653112info:eu-repo/semantics/altIdentifier/url/http://revistas.usal.es/index.php/2255-2863/article/view/ADCAIJ201653112info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:09:02Zoai:ri.conicet.gov.ar:11336/58401instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:09:03.161CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Group Recommendation System for Movies based on MAS
title A Group Recommendation System for Movies based on MAS
spellingShingle A Group Recommendation System for Movies based on MAS
Villavicencio, Christian Paulo
MULTI-AGENT SYSTEMS
RECOMMENDER SYSTEMS
GROUP RECOMMENDATION
title_short 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_sort A Group Recommendation System for Movies based on MAS
dc.creator.none.fl_str_mv Villavicencio, Christian Paulo
Schiaffino, Silvia Noemi
Diaz Pace, Jorge Andres
Monteserin, Ariel José
author Villavicencio, Christian Paulo
author_facet Villavicencio, Christian Paulo
Schiaffino, Silvia Noemi
Diaz Pace, Jorge Andres
Monteserin, Ariel José
author_role author
author2 Schiaffino, Silvia Noemi
Diaz Pace, Jorge Andres
Monteserin, Ariel José
author2_role author
author
author
dc.subject.none.fl_str_mv MULTI-AGENT SYSTEMS
RECOMMENDER SYSTEMS
GROUP RECOMMENDATION
topic MULTI-AGENT SYSTEMS
RECOMMENDER SYSTEMS
GROUP RECOMMENDATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Villavicencio, Christian Paulo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Diaz Pace, Jorge Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Monteserin, Ariel José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
description 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.
publishDate 2016
dc.date.none.fl_str_mv 2016-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/58401
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
2255-2863
CONICET Digital
CONICET
url http://hdl.handle.net/11336/58401
identifier_str_mv 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
2255-2863
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.14201/ADCAIJ201653112
info:eu-repo/semantics/altIdentifier/url/http://revistas.usal.es/index.php/2255-2863/article/view/ADCAIJ201653112
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Salamanca University Press
publisher.none.fl_str_mv Salamanca University Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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