Enhancing Recommender System performance through the fusion of Fuzzy C-Means, Restricted Boltzmann Machine, and Extreme Learning Machine
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-18005-x.pdf
Reference47 articles.
1. Lu J, Wu D, Mao M et al (2015) Recommender system application developments: a survey. Decis Support Syst 74:12–32. https://doi.org/10.1016/j.dss.2015.03.008
2. Behera DK, Das M, Swetanisha S (2019) Predicting users’ preferences for movie recommender system using restricted Boltzmann machine. Adv Intell Syst Comput 711:759–769. https://doi.org/10.1007/978-981-10-8055-5_67
3. Gao C, Lei W, He X et al (2021) Advances and challenges in conversational recommender systems: a survey. AI Open 2:100–126. https://doi.org/10.1016/j.aiopen.2021.06.002
4. Ricci F, Shapira B, Rokach L (2015) Recommender systems handbook, 2nd edn. Springer Science + Business Media New York, New York
5. Aggarwal CC (2016) Recommender systems. Springer International Publishing, Switzerland
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