Local Differentially Private Matrix Factorization For Recommendations.
Neera JeyamohanXiaomin ChenNauman AslamPublished in: SKIMA (2019)
Keyphrases
- matrix factorization
- differentially private
- recommender systems
- collaborative filtering
- item recommendation
- differential privacy
- latent factor models
- data sparsity
- low rank
- nonnegative matrix factorization
- user preferences
- cold start
- factor analysis
- tensor factorization
- missing data
- recommendation systems
- implicit feedback
- negative matrix factorization
- factorization methods
- privacy preserving
- user ratings
- contingency tables