An In-Depth Strategy using Deep Generative Adversarial Networks for Addressing the Cold Start in Movie Recommendation Systems
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66965-1_14
Reference15 articles.
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3. Koren, Y., Bell, R., Volinsky, C.: Matrix factorization techniques for recommender systems. Comput. (Long Beach Calif). 42(8), 30–37 (2009). https://doi.org/10.1109/MC.2009.263
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5. Yadav, U., Duhan, N., Bhatia, K.: Dealing with pure new user cold-start problem in recommendation system based on linked open data and social network features. Mobile Inform. Syst. 2020, 1–20 (2020). https://doi.org/10.1155/2020/8912065
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