An improved cross-domain sequential recommendation model based on intra-domain and inter-domain contrastive learning
Author:
Funder
National Natural Science Foundation of China
Key Technologies Research and Development Program
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40747-024-01590-1.pdf
Reference47 articles.
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3. Ni J, Cai Y, Tang G, Xie Y (2021) Collaborative filtering recommendation algorithm based on tf-idf and user characteristics. Appl Sci 11(20):9554
4. Man T, Shen H, Jin X, Cheng X (2017) Cross-domain recommendation: An embedding and mapping approach. In: IJCAI International Joint Conference on Artificial Intelligence, vol. 0. Melbourne, VIC, Australia, pp. 2464–2470
5. He M, Zhang J, Zhang S (2019) Actl: Adaptive codebook transfer learning for cross-domain recommendation. IEEE Access 7:19539–19549
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