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A simple yet effective enhanced collaborative filtering framework for mitigating noise and data sparsity: evidence from pervasive digital platform datasets

Crossref DOI link: https://doi.org/10.1007/s11227-025-07720-x

Published Online: 2025-08-14

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Deng, Jiangzhou

Zheng, Lei

Zhang, Zhiqiang

Ye, Jianmei

Wang, Yong
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (72301050, 62272077)

China Postdoctoral Science Foundation (2024M761257)

Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN202300605, KJZD-M202400604)

Humanities and Social Science Project of the Ministry of Education of China (23YJC630215)
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Text and Data Mining valid from 2025-08-14

Version of Record valid from 2025-08-14
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Article History

Accepted: 30 July 2025

First Online: 14 August 2025

Declarations

:

: The authors declare no conflict of interest.

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