Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components.
Naichen ShiSalar FattahiRaed Al KontarPublished in: CoRR (2024)
Keyphrases
- matrix factorization
- collaborative filtering
- missing data
- recommender systems
- low rank
- factorization methods
- factor analysis
- stochastic gradient descent
- negative matrix factorization
- item recommendation
- nonnegative matrix factorization
- variational bayesian
- low rank matrix
- data sparsity
- implicit feedback
- factorization method
- latent factors
- tensor factorization
- pairwise
- incomplete data
- missing values
- data points
- probabilistic matrix factorization