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A Survey of the Applications of Fuzzy Methods in Recommender Systems

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Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 361))

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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.

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Acknowledgements

This paper was partially supported by the GOP-1.1.1-11-2012-0172 and the National Research, Development and Innovation Office (NKFIH) K105529, K108405.

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Authors and Affiliations

  1. Department of Information Technology, Széchenyi István University, Győr, Hungary

    B. Sziová, A. Tormási & L. T. Kóczy

  2. Department of Logistics and Forwarding, Széchenyi István University, Győr, Hungary

    P. Földesi

  3. Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary

    L. T. Kóczy

Authors
  1. B. Sziová
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  2. A. Tormási
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  3. P. Földesi
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  4. L. T. Kóczy
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Corresponding author

Correspondence to B. Sziová .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  2. Machine Intelligence Institute, Iona College, New Rochelle, New York, USA

    Ronald R. Yager

  3. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  4. Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Marek Z. Reformat

  5. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

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Sziová, B., Tormási, A., Földesi, P., Kóczy, L.T. (2018). A Survey of the Applications of Fuzzy Methods in Recommender Systems. In: Zadeh, L., Yager, R., Shahbazova, S., Reformat, M., Kreinovich, V. (eds) Recent Developments and the New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-319-75408-6_37

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  • DOI: https://doi.org/10.1007/978-3-319-75408-6_37

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