research-article

Privacy-preserving collaborative recommender systems

Authors:

Chia-Lung Hsieh,

Tsan-Sheng Hsu,

Churn-Jung Liau,

Da-Wei WangAuthors Info & Claims

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Volume 40, Issue 4

Pages 472 - 476

https://doi.org/10.1109/TSMCC.2010.2040275

Published: 01 July 2010 Publication History

Abstract

Collaborative recommender systems use various types of information to help customers find products of personalized interest. To increase the usefulness of collaborative recommender systems in certain circumstances, it could be desirable to merge recommender system databases between companies, thus expanding the data pool. This can lead to privacy disclosure hazards during the merging process. This paper addresses how to avoid privacy disclosure in collaborative recommender systems by comparing withmajor cryptology approaches and constructing amore efficient privacy-preserving collaborative recommender system based on the scalar product protocol.

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Cited By

Ge YLiu SFu ZTan JLi ZXu SLi YXian YZhang Y(2024)A Survey on Trustworthy Recommender SystemsACM Transactions on Recommender Systems10.1145/36528913:2(1-68)Online publication date: 13-Apr-2024
https://dl.acm.org/doi/10.1145/3652891
Miehling ENair RDaly ERamamurthy KRedmond ROh ANaumann TGloberson ASaenko KHardt MLevine S(2023)Cookie consent has disparate impact on estimation accuracyProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3667610(34308-34328)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3667610
Ferreira LSilva DItzazelaia M(2023)Recommender Systems in CybersecurityKnowledge and Information Systems10.1007/s10115-023-01906-665:12(5523-5559)Online publication date: 5-Jun-2023
https://dl.acm.org/doi/10.1007/s10115-023-01906-6
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Privacy-preserving collaborative recommender systems
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Published In

cover image IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews Volume 40, Issue 4

July 2010

122 pages

ISSN:1094-6977

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Copyright © 2010.

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IEEE Press

Publication History

Published: 01 July 2010

Accepted: 28 November 2009

Revised: 07 January 2009

Received: 14 July 2008

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Cited By

Ge YLiu SFu ZTan JLi ZXu SLi YXian YZhang Y(2024)A Survey on Trustworthy Recommender SystemsACM Transactions on Recommender Systems10.1145/36528913:2(1-68)Online publication date: 13-Apr-2024
https://dl.acm.org/doi/10.1145/3652891
Miehling ENair RDaly ERamamurthy KRedmond ROh ANaumann TGloberson ASaenko KHardt MLevine S(2023)Cookie consent has disparate impact on estimation accuracyProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3667610(34308-34328)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3667610
Ferreira LSilva DItzazelaia M(2023)Recommender Systems in CybersecurityKnowledge and Information Systems10.1007/s10115-023-01906-665:12(5523-5559)Online publication date: 5-Jun-2023
https://dl.acm.org/doi/10.1007/s10115-023-01906-6
Chen ZPiao JLan XCao HGao CLu ZLi Y(2022)Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System DesignProceedings of the ACM on Human-Computer Interaction10.1145/35556466:CSCW2(1-32)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555646
Huo ZHe PHu LZhao H(2021)DP-UserPro: differentially private user profile construction and publicationFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-020-9462-915:5Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1007/s11704-020-9462-9
Russo PBracciale LBianchi G(2021)Dare‐to‐ShareSecurity and Privacy10.1002/spy2.1534:3Online publication date: 4-May-2021
https://dl.acm.org/doi/10.1002/spy2.153
Kashani SHamidzadeh J(2020)Feature selection by using privacy-preserving of recommendation systems based on collaborative filtering and mutual trust in social networksSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-019-04605-z24:15(11425-11440)Online publication date: 1-Aug-2020
https://dl.acm.org/doi/10.1007/s00500-019-04605-z
Duriakova ETragos ESmyth BHurley NPeña FSymeonidis PGeraci JLawlor ABogers TSaid ABrusilovsky PTikk D(2019)PDMFRecProceedings of the 13th ACM Conference on Recommender Systems10.1145/3298689.3347035(457-461)Online publication date: 10-Sep-2019
https://dl.acm.org/doi/10.1145/3298689.3347035
Zhan F(2019)Hand Gesture Recognition with Convolution Neural Networks2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI)10.1109/IRI.2019.00054(295-298)Online publication date: 30-Jul-2019
https://dl.acm.org/doi/10.1109/IRI.2019.00054
Dou KGuo BKuang L(2019)A privacy-preserving multimedia recommendation in the context of social network based on weighted noise injectionMultimedia Tools and Applications10.1007/s11042-017-4352-378:19(26907-26926)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.1007/s11042-017-4352-3
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