A differential privacy framework for matrix factorization recommender systems.
Arik FriedmanShlomo BerkovskyMohamed Ali KâafarPublished in: User Model. User Adapt. Interact. (2016)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- differential privacy
- latent factor models
- cold start problem
- differentially private
- implicit feedback
- probabilistic matrix factorization
- privacy preserving data mining algorithms
- probabilistic model
- user preferences
- missing data
- data sharing