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A Novel Differentially Private Implicit Recommendation Algorithm Based on Gradient Perturbation Optimization

Bibliographic Data

ID22107601
AuthorsZhiqiang Zhang (0000-0002-0083-7455, Chongqing University of Posts and Telecommunications), Qianhong Chen (0009-0002-8237-8869, Chongqing University of Posts and Telecommunications), Jiangzhou Deng (0000-0003-4761-132X, Chongqing University of Posts and Telecommunications), Leo Yu Zhang (0000-0001-9330-2662, Griffith University), Kobiljon Kh Khushvakhtzoda (0000-0001-5130-2963, Academy of Sciences of the Republic of Tajikistan), Yong Wang (0000-0002-0092-0793, Chongqing University of Posts and Telecommunications)
Year2026
Volume13
Issue3
Pages3572-3584
Publication date2026-06-01
Open AccessYes
TypeARTICLE
VenueIEEE Transactions on Computational Social Systems (JOURNAL)
Journal identifiersISSN: 2329-924X • E-ISSN: 2373-7476
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/tcss.2025.3645943
OpenAlexW7125647384
LanguageEN
References cited32

Algorithm design · Approximation algorithm · Computation · Efficient algorithm · Optimization algorithm · Digital Rights Management and Security · Privacy-Preserving Technologies in Data · Recommender Systems and Techniques

  • Matrix Factorization Techniques for Recommender Systems

    Open Access•Yehuda Koren, Robert Bell et al.•Computer•2009

  • Dual-Domain Collaborative Denoising for Social Recommendation

    Open Access•Wenjie Chen, Yi Zhang et al.•IEEE Transactions on Computational…•2025

  • A Matrix Factorization Recommendation System-Based Local Differential Privacy for Protecting Users’ Sensitive Data

    Open Access•Xiaoyao Zheng, Manping Guan et al.•IEEE Transactions on Computational…•2023

Highly citedNo

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