Enforcing Differential Privacy for Shared Collaborative Filtering

Enforcing Differential Privacy for Shared Collaborative Filtering

Collaborative filtering is now successfully applied to recommender systems. The availability of extensive personal data is necessary for generating high quality recommendations. However, traditional collaborative filtering methods suffer from sparse and sometimes cold-start problems, particularly fo...

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Bibliographic Details
Main Authors: Jianqiang Li, Ji-Jiang Yang, Yu Zhao, Bo Liu, Mengchu Zhou, Jing Bi, Qing Wang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Data sharing
electronic commerce
online information service
security and privacy protection
Online Access:https://ieeexplore.ieee.org/document/7543523/

Internet

https://ieeexplore.ieee.org/document/7543523/

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