A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation

Autores
Briguez, Cristian Emanuel; Capobianco, Marcela; Maguitman, Ana Gabriela
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Although the importance of trust in recommender systems is widely recognized, the actual mechanisms of trust propagation and trust preservation are poorly understood. This is partly due to the fact that trust is a complex notion, which is typically context dependent, subjective, dynamic and not always transitive or symmetrical. This paper presents a theoretical analysis of the notion of trust in news recommendation and discusses the advantages of modeling this notion using Defeasible Logic Programming, a general-purpose defeasible argumentation formalism based on logic programming. In the proposed framework, users can express explicit trust statements on news reports, news sources and other users. Trust is then modeled and propagated using a dialectical process supported by a Defeasible Logic Programming interpreter. A set of basic postulates for trust and their representation by means of defeasible rules is presented. The suitability of the approach is investigated with a set of illustrative examples and then analyzed from a formal perspective. The obtained results indicate that the proposed framework provides a solid foundation for building trust-based news recommendation services.
Fil: Briguez, Cristian Emanuel. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Capobianco, Marcela. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Maguitman, Ana Gabriela. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Argumentation
Trust Propagaton
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:11336/10432
Acceder
id CONICETDig_0f55c163722c9e4a7bcde4df0ee3fab8
oai_identifier_str oai:ri.conicet.gov.ar:11336/10432
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentationBriguez, Cristian EmanuelCapobianco, MarcelaMaguitman, Ana GabrielaArgumentationTrust Propagatonhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Although the importance of trust in recommender systems is widely recognized, the actual mechanisms of trust propagation and trust preservation are poorly understood. This is partly due to the fact that trust is a complex notion, which is typically context dependent, subjective, dynamic and not always transitive or symmetrical. This paper presents a theoretical analysis of the notion of trust in news recommendation and discusses the advantages of modeling this notion using Defeasible Logic Programming, a general-purpose defeasible argumentation formalism based on logic programming. In the proposed framework, users can express explicit trust statements on news reports, news sources and other users. Trust is then modeled and propagated using a dialectical process supported by a Defeasible Logic Programming interpreter. A set of basic postulates for trust and their representation by means of defeasible rules is presented. The suitability of the approach is investigated with a set of illustrative examples and then analyzed from a formal perspective. The obtained results indicate that the proposed framework provides a solid foundation for building trust-based news recommendation services.Fil: Briguez, Cristian Emanuel. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Capobianco, Marcela. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Maguitman, Ana Gabriela. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaWorld Scientific2013-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/10432Briguez, Cristian Emanuel; Capobianco, Marcela; Maguitman, Ana Gabriela; A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation; World Scientific; International Journal On Artificial Intelligence Tools; 22; 11; 8-2013; 1-250218-21301793-6349enginfo:eu-repo/semantics/altIdentifier/url/http://www.worldscientific.com/doi/abs/10.1142/S0218213013500218info:eu-repo/semantics/altIdentifier/doi/10.1142/S0218213013500218info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:08:01Zoai:ri.conicet.gov.ar:11336/10432instacron: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:34982025-09-10 13:08:01.734CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation
title A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation
spellingShingle A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation
Briguez, Cristian Emanuel
Argumentation
Trust Propagaton
title_short A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation
title_full A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation
title_fullStr A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation
title_full_unstemmed A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation
title_sort A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation
dc.creator.none.fl_str_mv Briguez, Cristian Emanuel
Capobianco, Marcela
Maguitman, Ana Gabriela
author Briguez, Cristian Emanuel
author_facet Briguez, Cristian Emanuel
Capobianco, Marcela
Maguitman, Ana Gabriela
author_role author
author2 Capobianco, Marcela
Maguitman, Ana Gabriela
author2_role author
author
dc.subject.none.fl_str_mv Argumentation
Trust Propagaton
topic Argumentation
Trust Propagaton
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Although the importance of trust in recommender systems is widely recognized, the actual mechanisms of trust propagation and trust preservation are poorly understood. This is partly due to the fact that trust is a complex notion, which is typically context dependent, subjective, dynamic and not always transitive or symmetrical. This paper presents a theoretical analysis of the notion of trust in news recommendation and discusses the advantages of modeling this notion using Defeasible Logic Programming, a general-purpose defeasible argumentation formalism based on logic programming. In the proposed framework, users can express explicit trust statements on news reports, news sources and other users. Trust is then modeled and propagated using a dialectical process supported by a Defeasible Logic Programming interpreter. A set of basic postulates for trust and their representation by means of defeasible rules is presented. The suitability of the approach is investigated with a set of illustrative examples and then analyzed from a formal perspective. The obtained results indicate that the proposed framework provides a solid foundation for building trust-based news recommendation services.
Fil: Briguez, Cristian Emanuel. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Capobianco, Marcela. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Maguitman, Ana Gabriela. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Although the importance of trust in recommender systems is widely recognized, the actual mechanisms of trust propagation and trust preservation are poorly understood. This is partly due to the fact that trust is a complex notion, which is typically context dependent, subjective, dynamic and not always transitive or symmetrical. This paper presents a theoretical analysis of the notion of trust in news recommendation and discusses the advantages of modeling this notion using Defeasible Logic Programming, a general-purpose defeasible argumentation formalism based on logic programming. In the proposed framework, users can express explicit trust statements on news reports, news sources and other users. Trust is then modeled and propagated using a dialectical process supported by a Defeasible Logic Programming interpreter. A set of basic postulates for trust and their representation by means of defeasible rules is presented. The suitability of the approach is investigated with a set of illustrative examples and then analyzed from a formal perspective. The obtained results indicate that the proposed framework provides a solid foundation for building trust-based news recommendation services.
publishDate 2013
dc.date.none.fl_str_mv 2013-08
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/11336/10432
Briguez, Cristian Emanuel; Capobianco, Marcela; Maguitman, Ana Gabriela; A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation; World Scientific; International Journal On Artificial Intelligence Tools; 22; 11; 8-2013; 1-25
0218-2130
1793-6349
url http://hdl.handle.net/11336/10432
identifier_str_mv Briguez, Cristian Emanuel; Capobianco, Marcela; Maguitman, Ana Gabriela; A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation; World Scientific; International Journal On Artificial Intelligence Tools; 22; 11; 8-2013; 1-25
0218-2130
1793-6349
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.worldscientific.com/doi/abs/10.1142/S0218213013500218
info:eu-repo/semantics/altIdentifier/doi/10.1142/S0218213013500218
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
dc.publisher.none.fl_str_mv World Scientific
publisher.none.fl_str_mv World Scientific
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_ 1842980372281819136
score 12.993085

Publicaciones similares