A hybrid collaborative filtering mechanism for product recommendation system
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/s11042-023-16056-8.pdf
Reference34 articles.
1. Afoudi Y, Lazaar M, Al Achhab M (2021) Hybrid recommendation system combined content-based filtering and collaborative prediction using artificial neural network. Simul Model Pract Theory 113:102375. https://doi.org/10.1016/j.simpat.2021.102375
2. Ahmadian M, Ahmadian S, Ahmadi M (2023) RDERL: Reliable deep ensemble reinforcement learning-based recommender system. Knowl Based Syst 263:110289. https://doi.org/10.1016/j.knosys.2023.110289
3. Bedi P, Goyal SB, Rajawat AS, Shaw RN (2022) A framework for personalizing atypical web search sessions with concept-based user profiles using selective machine learning techniques. Advanced Computing and Intelligent Technologies, Springer, Singapore, pp 279–291. https://doi.org/10.1007/978-981-16-2164-2_23
4. Bhalse N, Thakur R (2021) Algorithm for movie recommendation system using collaborative filtering. Mater Today: Proc. https://doi.org/10.1016/j.matpr.2021.01.235
5. Chen YC, Hui L, Thaipisutikul T (2021) A collaborative filtering recommendation system with dynamic time decay. J Supercomput 77(1):244–262. https://doi.org/10.1007/s11227-020-03266-2
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