Session-based recommendation via flow-based deep generative networks and Bayesian inference.
Ting ZhongZijing WenFan ZhouGoce TrajcevskiKunpeng ZhangPublished in: Neurocomputing (2020)
Keyphrases
- bayesian inference
- probabilistic model
- hyperparameters
- prior information
- recommender systems
- generative model
- gibbs sampler
- variational inference
- hierarchical bayesian
- bayesian model
- recommendation systems
- statistical inference
- collaborative filtering
- particle filter
- variational bayes
- markov networks
- expectation propagation
- weighted model counting
- hidden variables
- posterior distribution
- network structure
- prior knowledge
- prior distribution
- gaussian process
- unsupervised learning
- variational approximation
- bayesian networks