Knowledge transfer learning from multiple user activities to improve personalized recommendation
Author:
Funder
national natural science foundation of china
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07178-6.pdf
Reference48 articles.
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3. Chae DK, Kim SW, Lee JT (2019) Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation. Knowl Based Syst. https://doi.org/10.1016/j.knosys.2019.03.026
4. Chen X, Lei C, Liu D et al (2021) E-Commerce storytelling recommendation using attentional domain-transfer network and adversarial pre-training. IEEE Trans Multimed. https://doi.org/10.1109/tmm.2021.3054525
5. Cheng HT, Koc L, Harmsen J, et al (2016) Wide and deep learning for recommender systems. In: ACM International conference proceeding series
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