Funder
Shenzhen Science and Technology Innovation Committee
Reference62 articles.
1. Cross-domain recommendation: challenges, progress, and prospects;Zhu,2021
2. CnGAN: Generative adversarial networks for cross-network user preference generation for non-overlapped users;Perera,2019
3. Analyzing cross-system user modeling on the social web;Abel,2011
4. T. Man, H. Shen, X. Jin, X. Cheng, Cross-domain recommendation: An embedding and mapping approach., in: IJCAI, Vol. 17, 17, 2017, pp. 2464–2470.
5. S. Kang, J. Hwang, D. Lee, H. Yu, Semi-supervised learning for cross-domain recommendation to cold-start users, in: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019, pp. 1563–1572.