Sungwook Kim

Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy

2018 · IEEE Transactions on Knowledge and Data Engineering

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 …