A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication.
Tom Vander AaXiangju QinPaul BlomstedtRoel WuytsWilfried VerachtertSamuel KaskiPublished in: CoRR (2020)
Keyphrases
- matrix factorization
- variational bayesian
- collaborative filtering
- recommender systems
- missing data
- data sparsity
- probabilistic matrix factorization
- factorization methods
- negative matrix factorization
- factor analysis
- low rank
- nonnegative matrix factorization
- stochastic gradient descent
- item recommendation
- latent factors
- tensor factorization
- feature space