Privacy-Preserving Matrix Factorization for Cross-Domain Recommendation.
Taiwo Blessing OgunseyiCossi Blaise AvoussoukpoYiqiang JiangPublished in: IEEE Access (2021)
Keyphrases
- privacy preserving
- cross domain
- matrix factorization
- collaborative filtering
- recommender systems
- transfer learning
- item recommendation
- data sparsity
- vertically partitioned data
- knowledge transfer
- latent factor models
- low rank
- domain adaptation
- recommendation systems
- text categorization
- learning tasks
- target domain
- user preferences
- feature extraction
- social networks
- data sets
- knn
- similarity measure