Privacy enhanced matrix factorization for recommendation with local differential privacy

• Main Authors: Shin, Hyejin, Kim, Sungwook, Shin, Junbum, Xiao, Xiaokui
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2018
• 主題: Matrix Factorization; Local Differential Privacy
• 在線閱讀: https://hdl.handle.net/10356/87023; http://hdl.handle.net/10220/45218
• 機構: Nanyang Technological University

Recommender systems are collecting and analyzing user data to provide better user experience. However, several privacy concerns have been raised when a recommender knows user's set of items or their ratings. A number of solutions have been suggested to improve privacy of legacy recommender syst...