Keyphrases
- matrix factorization
- variational bayesian
- collaborative filtering
- recommender systems
- low rank
- nonnegative matrix factorization
- missing data
- probabilistic matrix factorization
- factorization methods
- negative matrix factorization
- factor analysis
- data sparsity
- data matrix
- maximum likelihood
- bayesian inference
- stochastic gradient descent
- tensor factorization
- factorization method
- bayesian analysis
- data representation
- personalized ranking
- item recommendation
- least squares
- unsupervised learning
- latent factors
- loss function
- posterior distribution