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An Effective Collaborative Filtering Based Method for Movie Recommendation

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Book cover Multimedia and Network Information Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 506))

Abstract

Collaborative filtering approach is one of the most widely used in recommendation processes. The big problem of this approach is its complexity and scalability. This paper presents an effective method for movie recommendation based on collaborative filtering. We show that the computational complexity of our method is lower than one known from the literature, worked out by Lekakos and Caravelas (Multimedia Tools Appl 36(1–2):55–70 (2006), [10]).

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Author information

Authors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Rafał Palak & Ngoc Thanh Nguyen

Authors
  1. Rafał Palak
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  2. Ngoc Thanh Nguyen
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Corresponding authors

Correspondence to Rafał Palak or Ngoc Thanh Nguyen .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wroclaw, Poland

    Aleksander Zgrzywa

  2. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Kazimierz Choroś

  3. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Andrzej Siemiński

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Palak, R., Nguyen, N.T. (2017). An Effective Collaborative Filtering Based Method for Movie Recommendation. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) Multimedia and Network Information Systems. Advances in Intelligent Systems and Computing, vol 506. Springer, Cham. https://doi.org/10.1007/978-3-319-43982-2_13

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  • DOI: https://doi.org/10.1007/978-3-319-43982-2_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43981-5

  • Online ISBN: 978-3-319-43982-2

  • eBook Packages: EngineeringEngineering (R0)

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