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Cited by 90Privacy-Preserving Technologies in DataRecommender Systems and TechniquesPrivacy, Security, and Data Protection

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Improved collaborative filtering recommendation algorithm based on differential privacy protection

Yin, Chunyong, Shi, Lingfeng, Sun, Ruxia, Wang, Jin·2020·The Journal of Supercomputing
DOI 10.1007/s11227-019-02751-7
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Research works printed but not linked: 30

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Metadata

Authors
Yin, C., Shi, L., Sun, R., & Wang, J.
Affiliations
  • Nanjing University of Information Science and Technology (CN)
  • Changsha University of Science and Technology (CN)
Corresponding author
Wang, Jin
ORCID
Venue
The Journal of Supercomputing
Publisher
Springer Science and Business Media LLC
Published
2019-01-08
Volume
76
Issue
7
Pages
5161-5174
ISSN
  • 0920-8542 (ISSN-L)
  • 1573-0484
DOI
10.1007/s11227-019-02751-7
OpenAlex
W3046301713
Cited by
90
References
1
Citations by year
2026: 4 · 2025: 10 · 2024: 11 · 2023: 12 · 2022: 25 · 2021: 16 · 2020: 7 · 2019: 5
FWCI
6.11
Type
journal article
Language
en
Open access
closed
Licence
Locations
The Journal of Supercomputing (publishedVersion)
Funders
National Natural Science Foundation of China (61772282, 61772454, 61811530332)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
  • Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
collaborative filtering, differential privacy, privacy-preserving recommendation, personalized recommendation, time factor, user privacy protection, recommendation accuracy

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CoChat. (2026). Citation check: Improved collaborative filtering recommendation algorithm based on differential privacy protection. https://app.cochat.ai/papers/10.1007/s11227-019-02751-7
The paper
Yin, C., Shi, L., Sun, R., & Wang, J. (2020). Improved collaborative filtering recommendation algorithm based on differential privacy protection. The Journal of Supercomputing. https://doi.org/10.1007/s11227-019-02751-7