The user's human values scale methodology in recommender systems from several information sources of the organization

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AudienciaPúblico en generales_ES
CoberturaMéxico[ 143]es_ES
Fecha de ingreso2026-10-05T16:35:11Z
Fecha de publicación2008-01-01
ResumenThe main objective of this paper aims at developing a methodology that takes into account the human factor extracted from the several information sources of the organization of the recommender systems. This methodology is capable of extracting the Human Values Scale from the user, with reference to his/her features, in order to improve the adaptation of the Recommender Systems. This research is focused on the analysis of human values scale using the Portrait Values Questionnaire of Schwartz, which can take advantage of the several information sources of the organization through its attributes to define the methodology that response with more exactitude to preferences and interests of the user. This paper presents a demonstration of how the Human Values Scale of a user can be extracted from several information sources of the organization. A case study is presented to apply the methodology, in an effort to extract the user human values scale from bank domains.es_ES
Doihttps://doi.org/10.1007/978-3-540-88636-585es_ES
ISBN3540886354; 978-354088635-8es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/6642
IdiomaInglés[20]es_ES
RelaciónLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)es_ES
URL relacionadohttps://doi.org/10.1007/978-3-540-88636-585es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Palabra claveHuman values scalees_ES
Palabra claveInformation sourceses_ES
Palabra claveRecommender systemses_ES
TítuloThe user's human values scale methodology in recommender systems from several information sources of the organizationes_ES
TipoPonenciaes_ES
ArbitradoHa sido Arbitradoes_ES
AutorGuzmán-Obando, Javier
AutorDe La Rosa, Josep Lluís
AutorAciar, Silvana
AutorMontaner, Miquel
AutorCastán, José A.
AutorLaria, Julio
AutorGuzmán-Obando, Javieres_ES
AutorDe La Rosa, Josep Lluíses_ES
AutorAciar, Silvanaes_ES
AutorMontaner, Miqueles_ES
AutorCastán, José A.es_ES
AutorLaria, Julioes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Rango de páginas900-912es_ES
URL relacionadahttps://doi.org/10.1007/978-3-540-88636-585
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen5317 LNAIes_ES

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