Partial Collective Matrix Factorization and its PAC Bound.
Chao LanXiaoli LiYujie DengJun HuanPublished in: ISAIM (2016)
Keyphrases
- matrix factorization
- upper bound
- collaborative filtering
- vc dimension
- mistake bound
- recommender systems
- low rank
- lower bound
- negative matrix factorization
- missing data
- factorization methods
- worst case
- factor analysis
- item recommendation
- nonnegative matrix factorization
- stochastic gradient descent
- data sparsity
- tensor factorization
- sample complexity
- personalized ranking
- data matrix
- sample size
- data sets
- generative model
- factorization method
- latent factor models
- variational bayesian
- recommendation systems
- probabilistic matrix factorization