Long-tail session-based recommendation from calibration
Author:
Funder
National Natural Science Foundation of China
Science and Technology Commission of Shanghai Municipality
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03718-7.pdf
Reference45 articles.
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2. Wang X, He X, Wang M, Feng F, Chua T (2019) Neural graph collaborative filtering. In: Proceedings of the International ACM SIGIR conference on research and development in information retrieval, SIGIR. pp 165–174, https://doi.org/10.1145/3331184.3331267
3. Na L, Li M, Hai-yang Q, Su H (2021) A hybrid user-based collaborative filtering algorithm with topic model. Appl Intell 51(11):7946–7959. https://doi.org/10.1007/s10489-021-02207-7
4. Xiao T, Shen H (2019) Neural variational matrix factorization for collaborative filtering in recommendation systems. Appl Intell 49(10):3558–3569. https://doi.org/10.1007/s10489-019-01469-6
5. Zhang L, Li Z, Sun X (2021) Iterative rating prediction for neighborhood-based collaborative filtering. Appl Intell 51(10):6810–6822 . https://doi.org/10.1007/s10489-021-02237-1
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