Convergence of Alternating Gradient Descent for Matrix Factorization.
Rachel WardTamara G. KoldaPublished in: CoRR (2023)
Keyphrases
- matrix factorization
- stochastic gradient descent
- collaborative filtering
- recommender systems
- negative matrix factorization
- missing data
- factorization methods
- low rank
- data sparsity
- nonnegative matrix factorization
- factor analysis
- cost function
- data matrix
- item recommendation
- convergence rate
- variational bayesian
- dictionary learning
- objective function
- latent factors
- latent factor models
- convergence speed
- binary matrix
- probabilistic matrix factorization