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On Measuring Association between Groups of Rankings in Recommender Systems

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Book cover Artificial Intelligence and Soft Computing (ICAISC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8468))

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Abstract

A measure of association between two groups of rankings is proposed. The suggested measure possesses some interesting properties which make it useful in recommender systems and some other possible applications. In particular, it aggregates the bipolar information taking into account both the strength of the correlation and its sign. Simultaneously, applied in collaborative filtering, it rewards strong association which is a desired property in making meaningful recommendations to a user.

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Author information

Authors and Affiliations

  1. Interdisciplinary PhD Studies, Polish Academy of Sciences, Jana Kazimierza 5, 01-248, Warsaw, Poland

    Hanna Łącka

  2. Systems Research Institute, Polish Academy of Sciences, Newelska 6, 01-447, Warsaw, Poland

    Przemysław Grzegorzewski

  3. Faculty of Mathematics and Computer Science, Warsaw University of Technology, Koszykowa 75, 00-662, Warsaw, Poland

    Przemysław Grzegorzewski

Authors
  1. Hanna Łącka
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  2. Przemysław Grzegorzewski
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski  & Rafał Scherer  & 

  2. Częstochowa University of Technology, 42-200, Częstochowa, Poland

    Marcin Korytkowski

  3. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2014 Springer International Publishing Switzerland

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Łącka, H., Grzegorzewski, P. (2014). On Measuring Association between Groups of Rankings in Recommender Systems. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8468. Springer, Cham. https://doi.org/10.1007/978-3-319-07176-3_37

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  • DOI: https://doi.org/10.1007/978-3-319-07176-3_37

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07175-6

  • Online ISBN: 978-3-319-07176-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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