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dc.contributor.author
Briguez, Cristian Emanuel
dc.contributor.author
Capobianco, Marcela
dc.contributor.author
Maguitman, Ana Gabriela
dc.date.available
2016-12-28T15:50:16Z
dc.date.issued
2013-08
dc.identifier.citation
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
dc.identifier.issn
0218-2130
dc.identifier.uri
http://hdl.handle.net/11336/10432
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
World Scientific
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Argumentation
dc.subject
Trust Propagaton
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
A theoretical framework for trust-based news recommender systems and its implementation using defeasible argumentation
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-12-22T20:37:16Z
dc.identifier.eissn
1793-6349
dc.journal.volume
22
dc.journal.number
11
dc.journal.pagination
1-25
dc.journal.pais
Singapur
dc.description.fil
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
dc.description.fil
Fil: Capobianco, Marcela. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
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
dc.journal.title
International Journal On Artificial Intelligence Tools
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.worldscientific.com/doi/abs/10.1142/S0218213013500218
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1142/S0218213013500218


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