Improving Accuracy of Recommendation Systems with Deep Learning Models
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3250-4_60
Reference42 articles.
1. Fessahaye F, Perez L, Zhan T, Zhang R, Fossier C, Markarian R, Chiu C, Zhan J, Gewali L, Oh P (2019) T-recsys: a novel music recommendation system using deep learning. In: 2019 IEEE international conference on consumer electronics (ICCE). IEEE, pp 1–6
2. Mansur F, Patel V, Patel M (2017) A review on recommendation systems. In: 2017 International conference on innovations in information, embedded and communication systems (ICIIECS). IEEE, pp 1–6
3. Liu B, Ding M, Shaham S, Rahayu W, Farokhi F, Lin Z (2021) When machine learning meets privacy: a survey and outlook. ACM Comput Surv (CSUR) 54(2):1–36
4. Rong H, Wang Y, Zhou F, Zhai J, Wu H, Lan R, Li F, Zhang H, Yang Y, Guo Z, Wang D (2020) Distributed equivalent substitution training for large-scale recommendation systems. In: Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval, pp 911–920
5. Smith B, Linden G (2017) Two decades of recommendation systems at Amazon.com. IEEE Internet Comput 21(3):12–18
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