Privacy-preserving distributed collaborative filtering-Reference-Cited by-同舟云学术

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Privacy-preserving distributed collaborative filtering

Published:2015-03-26 Issue:8 Volume:98 Page:827-846
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Boutet Antoine,Frey Davide,Guerraoui Rachid,Jégou Arnaud,Kermarrec Anne-Marie

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00607-015-0451-z.pdf

Reference25 articles.

1. Agrawal D, Aggarwal CC (2001) On the design and quantification of privacy preserving data mining algorithms. In: PODS, ACM, New York, NY, pp 247–255

2. Agrawal R, Srikant R (2000) Privacy-preserving data mining. In: SIGMOD, ACM, New York, NY, pp 439–450

3. Ahmad W, Khokhar A (2007) An architecture for privacy preserving collaborative filtering on web portals. In: IAS, Manchester, pp 273–278

4. Alaggan M, Gambs S, Kermarrec A-M (2012) BLIP: non-interactive differentially-private similarity computation on bloom filters. In: Richa AW, Scheideler C (eds) Stabilization, safety, and security of distributed systems. Lecture notes in computer science, vol 7596. Springer, Berlin, pp 202–216

5. Boutet A, Frey D, Guerraoui R, Jégou A, Kermarrec A-M (2013) WHATSUP: a decentralized instant news recommender. In: IEEE 27th international symposium on parallel distributed processing (IPDPS), Boston, MA, pp 741–752

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2. A review of challenges, algorithms and evaluation methods in news recommendation;Journal of Information Science;2024-04-28

3. Robustness of privacy-preserving collaborative recommenders against popularity bias problem;PeerJ Computer Science;2023-07-06

4. A Trust-Delivery Collaborative Recommendation Method Based on Local Differential Privacy;2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2023-05-24

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