An approach for explaining group recommendations based on negotiation information

Autores
Villavicencio, Christian Paulo; Schiaffino, Silvia Noemi; Diaz Pace, Jorge Andres; Monteserin, Ariel José
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Explaining group recommendations has gained importance over the last years. Although the topic of recommendation explanation has received attention in the context of single-user recommendations, only a few group recommender systems (GRS) currently provide explanations for their group recommendations. However, those GRS that support explanations, provide either explanations being highly reliant on the aggregation technique used for generating the recommendation (most of them trying to tackle shortcomings of the underlying technique), or explanations with a rich content but requiring users to provide considerable additional data. In this article, we present a novel approach for providing explanations of group recommendations, which are generated by a GRS based on multi-agent negotiation techniques. An evaluation of our approach with a user study in the movies domain has shown promising results. Explanations provided by our GRS system helped users during the decision-making process, since they modified the feedback given to recommended items. This is an improvement with respect to systems that do not provide explanations for their recommendations.
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
EXPLANATIONS
GROUP RECOMMENDER SYSTEMS
NEGOTIATION BASED RECOMMENDATIONS
NEGOTIATION INFORMATION TRANSPARENCY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/261493
Acceder
id CONICETDig_779245cfd9cebf2365a2ce604019f53f
oai_identifier_str oai:ri.conicet.gov.ar:11336/261493
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An approach for explaining group recommendations based on negotiation informationVillavicencio, Christian PauloSchiaffino, Silvia NoemiDiaz Pace, Jorge AndresMonteserin, Ariel JoséEXPLANATIONSGROUP RECOMMENDER SYSTEMSNEGOTIATION BASED RECOMMENDATIONSNEGOTIATION INFORMATION TRANSPARENCYhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Explaining group recommendations has gained importance over the last years. Although the topic of recommendation explanation has received attention in the context of single-user recommendations, only a few group recommender systems (GRS) currently provide explanations for their group recommendations. However, those GRS that support explanations, provide either explanations being highly reliant on the aggregation technique used for generating the recommendation (most of them trying to tackle shortcomings of the underlying technique), or explanations with a rich content but requiring users to provide considerable additional data. In this article, we present a novel approach for providing explanations of group recommendations, which are generated by a GRS based on multi-agent negotiation techniques. An evaluation of our approach with a user study in the movies domain has shown promising results. Explanations provided by our GRS system helped users during the decision-making process, since they modified the feedback given to recommended items. This is an improvement with respect to systems that do not provide explanations for their recommendations.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; ArgentinaInstitute of Advanced Engineering and Science2024-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/261493Villavicencio, Christian Paulo; Schiaffino, Silvia Noemi; Diaz Pace, Jorge Andres; Monteserin, Ariel José; An approach for explaining group recommendations based on negotiation information; Institute of Advanced Engineering and Science; IAES International Journal of Artificial Intelligence; 13; 1; 3-2024; 162-1732252-8938CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.11591/ijai.v13.i1.pp162-173info:eu-repo/semantics/altIdentifier/url/https://ijai.iaescore.com/index.php/IJAI/article/view/21793info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:57:32Zoai:ri.conicet.gov.ar:11336/261493instacron: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:34982025-09-29 09:57:32.69CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An approach for explaining group recommendations based on negotiation information
title An approach for explaining group recommendations based on negotiation information
spellingShingle An approach for explaining group recommendations based on negotiation information
Villavicencio, Christian Paulo
EXPLANATIONS
GROUP RECOMMENDER SYSTEMS
NEGOTIATION BASED RECOMMENDATIONS
NEGOTIATION INFORMATION TRANSPARENCY
title_short An approach for explaining group recommendations based on negotiation information
title_full An approach for explaining group recommendations based on negotiation information
title_fullStr An approach for explaining group recommendations based on negotiation information
title_full_unstemmed An approach for explaining group recommendations based on negotiation information
title_sort An approach for explaining group recommendations based on negotiation information
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 EXPLANATIONS
GROUP RECOMMENDER SYSTEMS
NEGOTIATION BASED RECOMMENDATIONS
NEGOTIATION INFORMATION TRANSPARENCY
topic EXPLANATIONS
GROUP RECOMMENDER SYSTEMS
NEGOTIATION BASED RECOMMENDATIONS
NEGOTIATION INFORMATION TRANSPARENCY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Explaining group recommendations has gained importance over the last years. Although the topic of recommendation explanation has received attention in the context of single-user recommendations, only a few group recommender systems (GRS) currently provide explanations for their group recommendations. However, those GRS that support explanations, provide either explanations being highly reliant on the aggregation technique used for generating the recommendation (most of them trying to tackle shortcomings of the underlying technique), or explanations with a rich content but requiring users to provide considerable additional data. In this article, we present a novel approach for providing explanations of group recommendations, which are generated by a GRS based on multi-agent negotiation techniques. An evaluation of our approach with a user study in the movies domain has shown promising results. Explanations provided by our GRS system helped users during the decision-making process, since they modified the feedback given to recommended items. This is an improvement with respect to systems that do not provide explanations for their recommendations.
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 Explaining group recommendations has gained importance over the last years. Although the topic of recommendation explanation has received attention in the context of single-user recommendations, only a few group recommender systems (GRS) currently provide explanations for their group recommendations. However, those GRS that support explanations, provide either explanations being highly reliant on the aggregation technique used for generating the recommendation (most of them trying to tackle shortcomings of the underlying technique), or explanations with a rich content but requiring users to provide considerable additional data. In this article, we present a novel approach for providing explanations of group recommendations, which are generated by a GRS based on multi-agent negotiation techniques. An evaluation of our approach with a user study in the movies domain has shown promising results. Explanations provided by our GRS system helped users during the decision-making process, since they modified the feedback given to recommended items. This is an improvement with respect to systems that do not provide explanations for their recommendations.
publishDate 2024
dc.date.none.fl_str_mv 2024-03
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/11336/261493
Villavicencio, Christian Paulo; Schiaffino, Silvia Noemi; Diaz Pace, Jorge Andres; Monteserin, Ariel José; An approach for explaining group recommendations based on negotiation information; Institute of Advanced Engineering and Science; IAES International Journal of Artificial Intelligence; 13; 1; 3-2024; 162-173
2252-8938
CONICET Digital
CONICET
url http://hdl.handle.net/11336/261493
identifier_str_mv Villavicencio, Christian Paulo; Schiaffino, Silvia Noemi; Diaz Pace, Jorge Andres; Monteserin, Ariel José; An approach for explaining group recommendations based on negotiation information; Institute of Advanced Engineering and Science; IAES International Journal of Artificial Intelligence; 13; 1; 3-2024; 162-173
2252-8938
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.11591/ijai.v13.i1.pp162-173
info:eu-repo/semantics/altIdentifier/url/https://ijai.iaescore.com/index.php/IJAI/article/view/21793
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Advanced Engineering and Science
publisher.none.fl_str_mv Institute of Advanced Engineering and Science
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
_version_ 1844613720601264128
score 13.070432

Publicaciones similares