A Belief Propagation Approach to Privacy-Preserving Item-Based Collaborative Filtering-Reference-Cited by-同舟云学术

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A Belief Propagation Approach to Privacy-Preserving Item-Based Collaborative Filtering

Published:2015-10 Issue:7 Volume:9 Page:1306-1318
ISSN:1932-4553
Container-title:IEEE Journal of Selected Topics in Signal Processing
language:
Short-container-title:IEEE J. Sel. Top. Signal Process.

Author:

Zou Jun,Fekri Faramarz

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://ieeexplore.ieee.org/ielaam/4200690/7265114/7095527-aam.pdf

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI alignment: Assessing the global impact of recommender systems;Futures;2024-06

2. A novel target item-based similarity function in privacy-preserving collaborative filtering;The Journal of Supercomputing;2024-05-27

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

4. Collaborative filtering algorithm combining trust relationship and item preference;International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021);2021-12-22

5. An Extensive Study of Privacy Preserving Recommendation System Using Collaborative Filtering;Studies in Big Data;2021-08-12

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