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Integrating Ontologies and Fuzzy Logic to Represent User-Trustworthiness in Recommender Systems

Authors :
Enrique Herrera-Viedma
Carmen Martinez-Cruz
Carlos Porcel
Juan Bernabé-Moreno
Álvaro Tejeda-Lorente
Source :
Digibug. Repositorio Institucional de la Universidad de Granada, Consejo Superior de Investigaciones Científicas (CSIC), ITQM, Digibug: Repositorio Institucional de la Universidad de Granada, Universidad de Granada (UGR)
Publication Year :
2015
Publisher :
Elsevier, 2015.

Abstract

Information Technology and Quantitative Management (ITQM 2015)<br />Recommender systems can be used to assist users in the process of accessing to relevant information. In the literature we can find sundry approaches for generating personalized recommendations and all of them make use of different users’ and/or items’ features. Building accurate profiles plays an essential role in this context, so that the system's success depend to a large extent on the ability of the learned profiles to represent the user's preferences. An ontology works very well to characterize the users profiles. In this paper we develop an ontology to characterize the trust between users using the fuzzy linguistic modelling, this way in the recommendation generation process we do not take into account users with similar ratings history but users in which each user can trust. We present our ontology and provide a method to aggregate the trust information captured in the trust-ontology and to update the user profiles based on the feedback.<br />Projects UJA2013/08/41<br />TIN2013-40658-P<br />TIC5299<br />TIC-5991<br />TIN2012-36951 co-financed by FEDER and TIC6109

Details

Language :
English
Database :
OpenAIRE
Journal :
Digibug. Repositorio Institucional de la Universidad de Granada, Consejo Superior de Investigaciones Científicas (CSIC), ITQM, Digibug: Repositorio Institucional de la Universidad de Granada, Universidad de Granada (UGR)
Accession number :
edsair.doi.dedup.....ce8e6f121c67b1581e6c2a123bd04845