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pro vyhledávání: '"Zeng, Guohang"'
Cross-Domain Recommendation (CDR) is a promising paradigm inspired by transfer learning to solve the cold-start problem in recommender systems. Existing state-of-the-art CDR methods train an explicit mapping function to transfer the cold-start users
Externí odkaz:
http://arxiv.org/abs/2408.01931
Autor:
Wu, Yangning, Chen, Yanjie, Zeng, Guohang, Shang, Changjing, Miao, Zhiqiang, Wang, Hesheng, Wang, Yaonan, Shen, Qiang
Publikováno v:
IEEE/ASME Transactions on Mechatronics; December 2024, Vol. 29 Issue: 6 p4075-4086, 12p
Autor:
Chen, Yanjie, Lan, Limin, Liu, Xincheng, Zeng, Guohang, Shang, Changjing, Miao, Zhiqiang, Wang, Hesheng, Wang, Yaonan, Shen, Qiang
Publikováno v:
IEEE Transactions on Industrial Electronics; September 2024, Vol. 71 Issue: 9 p11028-11038, 11p
Publikováno v:
In Pattern Recognition June 2017 66:117-128
Publikováno v:
Human Centered Computing; 2015, p777-783, 7p