SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization.
Wenyan LiuJunhong ChengXiangfeng WangXiaoling WangPublished in: ADMA (2020)
Keyphrases
- privacy preserving
- matrix factorization
- collaborative filtering
- recommender systems
- horizontally partitioned data
- multi party
- item recommendation
- horizontally partitioned
- data sparsity
- partitioned data
- privacy sensitive
- privacy preserving data mining
- vertically partitioned data
- latent factor models
- low rank
- privacy preservation
- secure multiparty computation
- preserving privacy
- factorization methods
- privacy preserving classification
- missing data
- implicit feedback
- nonnegative matrix factorization
- privacy protection
- private information
- negative matrix factorization
- privacy concerns
- privacy preserving association rule mining
- differential privacy
- privacy issues
- private data
- sensitive information
- data privacy
- tensor factorization
- recommendation systems
- user preferences
- user ratings
- sensitive data
- scalar product
- distributed data
- data mining techniques