Privacy-Preserving Multiview Matrix Factorization for Recommender Systems.
Peihua MaiYan PangPublished in: IEEE Trans. Artif. Intell. (2024)
Keyphrases
- privacy preserving
- matrix factorization
- recommender systems
- collaborative filtering
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- low rank
- data sparsity
- nonnegative matrix factorization
- cold start problem
- implicit feedback
- private information
- privacy concerns
- multi party
- user preferences
- cold start
- factorization methods
- horizontally partitioned data
- data privacy
- factor analysis
- sensitive data
- privacy protection
- sensitive information
- privacy sensitive
- item recommendation
- probabilistic matrix factorization
- differential privacy
- privacy issues
- latent factors
- latent factor models
- image representation
- recommendation systems
- scalar product
- secure multiparty computation