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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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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