A systematic review of privacy techniques in recommendation systems
Author:
Funder
Yibin University
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10207-023-00710-1.pdf
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3. Wu, Z., Li, G., Liu, Q., Xu, G., Chen, E.: Covering the sensitive subjects to protect personal privacy in personalized recommendation. IEEE Trans. Serv. Comput. 11(3), 493–506 (2016)
4. Ogunseyi T. B, Yang C.: Survey and analysis of cryptographic techniques for Recommendation systems. In: Sun X., Pan Z., Bertino E. (eds) Cloud Computing and Security. Lecture Notes in Computer Science, 11065: 691–706. (2018)
5. Ozturk, A., Polat, H.: From existing trends to future trends in privacy-preserving collaborative filtering. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 5, 276–291 (2015)
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