Abstract
In the paper, a neuro-fuzzy structure is implemented as a movie recommender. First, a novel method for transforming nominal values of attributes into a numerical form is proposed. This allows representing the nominal values, e.g. movie genres or actors, in a neuro-fuzzy system designed from scratch using the Mendel-Wang algorithm for rules generation. Several experiments illustrate performance of the neuro-fuzzy recommender.
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CITATION STYLE
Rutkowski, T., Romanowski, J., Woldan, P., Staszewski, P., & Nielek, R. (2018). Towards interpretability of the movie recommender based on a neuro-fuzzy approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10842 LNAI, pp. 752–762). Springer Verlag. https://doi.org/10.1007/978-3-319-91262-2_66
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