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Fuzzy Tools in Recommender Systems: A Survey

TítuloFuzzy Tools in Recommender Systems: A Survey
Tipo de publicaciónRevista Internacional
Año de publicación2017
AutoresR. Yera and L. Martínez
RevistaInternational Journal of Computational Intelligence Systems
Volumen10
Incidencia1
Paginación776 - 803
ISSN Number1875-6883
Palabras clavefuzzy logic, Recommender systems
Resumen

Recommender systems are currently successful solutions for facilitating access for online users to the information that fits their preferences and needs in overloaded search spaces. In the last years several methodologies have been developed to improve their performance. This paper is focused on developing a review on the use of fuzzy tools in recommender systems, for detecting the more common research topics and also the research gaps, in order to suggest future research lines for boosting the current developments in fuzzy-based recommender systems. Specifically, it is developed an analysis of the papers focused at such aim, indexed in Thomson ReutersWeb of Science database, in terms of they key features, evaluation strategies, datasets employed, and application areas.

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