Scalable Bayesian Matrix Factorization.
Avijit SahaRishabh MisraBalaraman RavindranPublished in: MUSE@PKDD/ECML (2015)
Keyphrases
- matrix factorization
- variational bayesian
- collaborative filtering
- low rank
- missing data
- factorization methods
- recommender systems
- probabilistic matrix factorization
- factor analysis
- data sparsity
- bayesian networks
- negative matrix factorization
- nonnegative matrix factorization
- stochastic gradient descent
- item recommendation
- latent factors
- data matrix
- tensor factorization
- bayesian analysis
- maximum likelihood
- gaussian processes
- latent factor models
- posterior distribution
- feature space