Variational autoencoder Bayesian matrix factorization (VABMF) for collaborative filtering.
Ali AldhubriLasheng YuFarida MohsenMajjed Al-QatfPublished in: Appl. Intell. (2021)
Keyphrases
- matrix factorization
- collaborative filtering
- variational bayesian
- probabilistic matrix factorization
- recommender systems
- data sparsity
- factorization methods
- low rank
- nonnegative matrix factorization
- negative matrix factorization
- recommendation systems
- factor analysis
- bayesian networks
- implicit feedback
- item recommendation
- image segmentation
- optical flow
- missing data
- tensor factorization
- user preferences
- stochastic gradient descent
- user ratings
- personalized recommendation
- gaussian processes
- bayesian inference
- cold start problem
- user profiles
- personalized ranking