Automatic Hyperparameter Tuning in Sparse Matrix Factorization.
Ryota KawasumiKoujin TakedaPublished in: Neural Comput. (2023)
Keyphrases
- matrix factorization
- collaborative filtering
- tensor factorization
- recommender systems
- low rank matrix
- low rank
- missing data
- negative matrix factorization
- nonnegative matrix factorization
- latent factors
- factorization methods
- factor analysis
- variational bayesian
- data sparsity
- sparse non negative
- stochastic gradient descent
- item recommendation
- data matrix
- gaussian processes
- model selection
- personalized ranking
- dictionary learning
- gaussian process
- binary matrix
- probabilistic matrix factorization
- high dimensional