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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/261493
Ver los metadatos del registro completo
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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 Técnicas2025-09-03T09:55:15Zoai: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:34982025-09-03 09:55:15.345CONICET 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 |
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CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
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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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13.13397 |