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Integrating Ontologies and Fuzzy Logic to Represent User-Trustworthiness in Recommender Systems
- 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
- Subjects :
- Information retrieval
Fuzzy linguistic modelling
Computer science
Process (engineering)
Aggregate (data warehouse)
Trust-network based system
Context (language use)
Ontology (information science)
Recommender system
Fuzzy logic
World Wide Web
Trustworthiness
Recommender systems
Ontology
Ontologies
General Earth and Planetary Sciences
User profiles
General Environmental Science
Subjects
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