Abstract
Recommender systems have become essential in many web sites, especially in the e-commerce area; however, they are not extended enough in some domains. In this work, a recommender system for TV series is presented due to the increasing interest for this kind of products. The system implements a methodology that deals with the most important problems of recommender systems.
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Sánchez-Moreno, D., Gil, A.B., Moreno, M.N. (2013). TV-SeriesRec: A Recommender System Based on Fuzzy Associative Classification and Semantic Information. In: Pérez, J., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent Systems and Computing, vol 221. Springer, Cham. https://doi.org/10.1007/978-3-319-00563-8_25
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DOI: https://doi.org/10.1007/978-3-319-00563-8_25
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00562-1
Online ISBN: 978-3-319-00563-8
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