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Uniform regularization and contrastive learning to mitigate the long-tail effect of recommendation algorithms

Published Online: 2025-10-09

Published Print: 2025-12

Authors

Xie, Xin

Zheng, Hanxin

Liu, Kexuan

Zheng, Xingpeng

Cheng, Xuebo

Wan, Tao
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (62162026, 62162026, 62162026, 62162026)

Natural Science Foundation of Jiangxi Province (20242BAB26019, 20242BAB26019, 20242BAB26019, 20242BAB26019)

Natural Science Foundation of Jiangxi Province,China (20242BAB25066, 20242BAB25066)
License Information

Text and Data Mining valid from 2025-10-09

Version of Record valid from 2025-10-09
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Article History

Received: 19 December 2024

Revised: 15 June 2025

Accepted: 29 July 2025

First Online: 9 October 2025

Declarations

:

: The authors declare no competing interests.

: The study was conducted in accordance with ethical standards and all individuals involved in the study had obtained informed consent to participate voluntarily in the study. All individuals involved in the study were clear about the purpose for which the data were collected, used and processed, and the data were used in accordance with all relevant ethical guidelines and regulations.

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