Keyphrases
- matrix factorization
- tensor factorization
- low rank matrix
- collaborative filtering
- low rank
- recommender systems
- latent factors
- sparse non negative
- negative matrix factorization
- factorization methods
- nonnegative matrix factorization
- missing data
- factor analysis
- sparsity constraints
- high dimensional
- item recommendation
- data sparsity
- data matrix
- sparse representation
- sparse coding
- personalized ranking
- principal component analysis
- dictionary learning
- stochastic gradient descent
- factorization method
- dimensionality reduction
- latent factor models
- feature extraction