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Modelling the Human Values Scale from Consumers Transactional Data Bases

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

IEEE

Author: Guzmán Obando, Javier
González Sánchez, Gustavo
Rosa, Josep Lluís de la
Ruíz, Ronald U.
Castan, Jose A.
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
Document access: http://hdl.handle.net/2072/64625
Language: eng
Publisher: IEEE
Rights: Tots els drets reservats
Subject: Control intel·ligent
Sistemes experts (Informàtica)
Societat de la informació
Expert systems (Computer science)
Information society
Intelligent control systems
Title: Modelling the Human Values Scale from Consumers Transactional Data Bases
Type: info:eu-repo/semantics/article
Repository: Recercat

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