IDC-CDR: Cross-domain Recommendation based on Intent Disentanglement and Contrast Learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference59 articles.
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3. Cao, J., Cong, X., Sheng, J., Liu, T., & Wang, B. (2022). Contrastive Cross-Domain Sequential Recommendation. In Proceedings of the 31st ACM international conference on information & knowledge management (pp. 138–147).
4. Cao, J., Lin, X., Cong, X., Ya, J., Liu, T., & Wang, B. (2022). Disencdr: Learning disentangled representations for cross-domain recommendation. In Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval (pp. 267–277).
5. Chen, Y., Liu, Z., Li, J., McAuley, J., & Xiong, C. (2022). Intent contrastive learning for sequential recommendation. In Proceedings of the ACM web conference 2022 (pp. 2172–2182).
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