Modelling the Human Values Scale from Consumers Transactional Data Bases
dc.contributor.author
dc.date.accessioned
2010-06-14T11:02:22Z
dc.date.available
2010-06-07T12:26:48Z
2010-06-14T11:02:22Z
dc.date.issued
2006
dc.identifier.citation
Guzmán-Obando, J., González, G., de la Rosa, J.L, Ruíz, R.U., i Castan, J.A. (2006). Modelling the Human Values Scale from Consumers Transactional Data Bases. 15th International Conference on Computing : 2006 : CIC '06, 86-91. Recuperat 14 juny 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4023793
dc.identifier.isbn
0-7695-2708-6
dc.identifier.uri
dc.description.abstract
The main objective of this paper aims at developing a methodology that takes into account the human factor extracted from the data base used by the recommender systems, and which allow to resolve the specific problems of prediction and recommendation. In this work, we propose to extract the user's human values scale from the data base of the users, to improve their suitability in open environments, such as the recommender systems. For this purpose, the methodology is applied with the data of the user after interacting with the system. The methodology is exemplified with a case study
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
IEEE
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.1109/CIC.2006.46
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© 15th International Conference on Computing : 2006 : CIC '06, 2006, p. 86-91
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Articles publicats (D-EEEiA)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Modelling the Human Values Scale from Consumers Transactional Data Bases
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.identifier.doi