From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions.
Yujie LinPengjie RenZhumin ChenZhaochun RenDongxiao YuJun MaMaarten de RijkeXiuzhen ChengPublished in: CoRR (2019)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- user ratings
- personalized ranking
- user preferences
- low rank
- data sparsity
- rating prediction
- user profiles
- personalized recommendation
- factorization methods
- factor analysis
- negative matrix factorization
- implicit feedback
- nonnegative matrix factorization
- user model
- variational bayesian
- recommendation systems
- probabilistic matrix factorization
- binary matrix
- latent factors
- cold start problem
- cold start
- stochastic gradient descent
- item recommendation
- data matrix
- pairwise
- factorization method
- least squares