Modelling the Human Values Scale in Recommender Systems: A first approach

Authors:
Javier Guzmá/n;Gustavo Gonzá/lez;Josep L. de la Rosa;José/ Castá/n
Affiliations:
Inst. of Informatics and Apps., Univ. of Girona, Spain and Fac. de Ingenierí/a “/Arturo Narro Siller”/, Univ. Autó/noma de Tamaulipas, Tampico, Tamaulipas. Mé/xico. e-mail: { ...;Institute of Informatics and Applications, University of Girona, Campus Montilivi-Building P4, E-17071, Girona, Spain;Institute of Informatics and Applications, University of Girona, Campus Montilivi-Building P4, E-17071, Girona, Spain;Fac. de Ingenierí/a “/Arturo Narro Siller”/, Univ. Autó/noma de Tamaulipas, Centro Universitario Tampico-Madero. Tampico, Tamaulipas. Mé/xico. e-mail: {jguzmano/ gustavog/ pe ...
Venue:
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Year:
2005

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Abstract

The objective of this paper is two-fold. The first is to develop a methodology capable of extracting the Human Values Scale (HVS) from the user, with reference to his/her objective, subjective and emotional features, in order to improve the adaptation of user models to open environments, particularly in recommender systems. For this purpose a Coherence function is defined based on the user's emotional features profiled from his/her previous interactions with the system. This function is the mapping between the user behaviour and the relevance given by him/her in each life cycle of interactions. The second objective is to present preliminary results obtained from a case study using the objective, subjective and emotional attributes in the banking domain where the methodology was tested.