The User's Human Values Scale Methodology in Recommender Systems from Several Information Sources of the Organization

  • Authors:

  • Javier Guzmán-Obando;Josep Lluís Rosa;Silvana Aciar;Miquel Montaner;José A. Castán;Julio Laria

  • Affiliations:

  • University of Girona, Girona, Spain and Facultad de Ingeniería "Arturo Narro Siller", Universidad Autónoma de Tamaulipas, Tampico, Tams., México;University of Girona, Girona, Spain;University of Girona, Girona, Spain;University of Girona, Girona, Spain;Facultad de Ingeniería "Arturo Narro Siller", Universidad Autónoma de Tamaulipas, Tampico, Tams., México;Facultad de Ingeniería "Arturo Narro Siller", Universidad Autónoma de Tamaulipas, Tampico, Tams., México

  • Venue:
  • MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2008

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Abstract

The 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.