A survey of the applications of fuzzy methods in recommender systems

B. Sziová, A. Tormási, P. Földesi, L. Kóczy

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

In the past half century of fuzzy systems they were used to solve a wide range of complex problems, and the field of recommendation is no exception. The mathematical properties and the ability to efficiently process uncertain data enable fuzzy systems to face the common challenges in recommender systems. The main contribution of this paper is to give a comprehensive literature overview of various fuzzy based approaches to the solving of common problems and tasks in recommendation systems. As a conclusion possible new areas of research are discussed.

Original languageEnglish
Title of host publicationStudies in Fuzziness and Soft Computing
PublisherSpringer Verlag
Pages483-495
Number of pages13
DOIs
Publication statusPublished - Jan 1 2018

Publication series

NameStudies in Fuzziness and Soft Computing
Volume361
ISSN (Print)1434-9922

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mathematics

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  • Cite this

    Sziová, B., Tormási, A., Földesi, P., & Kóczy, L. (2018). A survey of the applications of fuzzy methods in recommender systems. In Studies in Fuzziness and Soft Computing (pp. 483-495). (Studies in Fuzziness and Soft Computing; Vol. 361). Springer Verlag. https://doi.org/10.1007/978-3-319-75408-6_37