Using negotiation for group recommendation: a user-study on the movies domain

Autores
Villavicencio, Christian Paulo; Schiaffino, Silvia Noemi; Diaz Pace, Jorge Andres; Monteserin, Ariel José
Año de publicación
2018
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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 differ with reality, we decided to assess MAGReS using data from real users. The results obtained showed firstly 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.
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
RECOMENDACION A GRUPOS DE USUARIOS
SISTEMAS DE RECOMENDACION
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:11336/90990

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spelling Using negotiation for group recommendation: a user-study on the movies domainVillavicencio, Christian PauloSchiaffino, Silvia NoemiDiaz Pace, Jorge AndresMonteserin, Ariel JoséRECOMENDACION A GRUPOS DE USUARIOSSISTEMAS DE RECOMENDACIONhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Providing 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 differ with reality, we decided to assess MAGReS using data from real users. The results obtained showed firstly 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.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; ArgentinaSociedad Argentina de Informática E Investigación Operativa2018-03info: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/11336/90990Villavicencio, Christian Paulo; Schiaffino, Silvia Noemi; Diaz Pace, Jorge Andres; Monteserin, Ariel José; Using negotiation for group recommendation: a user-study on the movies domain; Sociedad Argentina de Informática E Investigación Operativa; SADIO Electronic Journal of Informatic and Operation Research; 17; 1; 3-2018; 54-761514-6774CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/45info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:49:25Zoai:ri.conicet.gov.ar:11336/90990instacron: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:34982025-10-15 14:49:25.866CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Using negotiation for group recommendation: a user-study on the movies domain
title Using negotiation for group recommendation: a user-study on the movies domain
spellingShingle Using negotiation for group recommendation: a user-study on the movies domain
Villavicencio, Christian Paulo
RECOMENDACION A GRUPOS DE USUARIOS
SISTEMAS DE RECOMENDACION
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
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 RECOMENDACION A GRUPOS DE USUARIOS
SISTEMAS DE RECOMENDACION
topic RECOMENDACION A GRUPOS DE USUARIOS
SISTEMAS DE RECOMENDACION
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. 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 differ with reality, we decided to assess MAGReS using data from real users. The results obtained showed firstly 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.
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. 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 differ with reality, we decided to assess MAGReS using data from real users. The results obtained showed firstly 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-03
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/11336/90990
Villavicencio, Christian Paulo; Schiaffino, Silvia Noemi; Diaz Pace, Jorge Andres; Monteserin, Ariel José; Using negotiation for group recommendation: a user-study on the movies domain; Sociedad Argentina de Informática E Investigación Operativa; SADIO Electronic Journal of Informatic and Operation Research; 17; 1; 3-2018; 54-76
1514-6774
CONICET Digital
CONICET
url http://hdl.handle.net/11336/90990
identifier_str_mv Villavicencio, Christian Paulo; Schiaffino, Silvia Noemi; Diaz Pace, Jorge Andres; Monteserin, Ariel José; Using negotiation for group recommendation: a user-study on the movies domain; Sociedad Argentina de Informática E Investigación Operativa; SADIO Electronic Journal of Informatic and Operation Research; 17; 1; 3-2018; 54-76
1514-6774
CONICET Digital
CONICET
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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
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dc.publisher.none.fl_str_mv Sociedad Argentina de Informática E Investigación Operativa
publisher.none.fl_str_mv Sociedad Argentina de Informática E Investigación Operativa
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