Differential privacy for neighborhood-based Collaborative Filtering

@article{Zhu2013DifferentialPF,
  title={Differential privacy for neighborhood-based Collaborative Filtering},
  author={Tianqing Zhu and Gang Li and Yongli Ren and Wanlei Zhou and Ping Xiong},
  journal={2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)},
  year={2013},
  pages={752-759}
}
As a popular technique in recommender systems, Collaborative Filtering (CF) has received extensive attention in recent years. However, its privacy-related issues, especially for neighborhood-based CF methods, can not be overlooked. The aim of this study is to address the privacy issues in the context of neighborhood-based CF methods by proposing a Private Neighbor Collaborative Filtering (PNCF) algorithm. The algorithm includes two privacy-preserving operations: Private Neighbor Selection and… CONTINUE READING
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