An Efficient Hybrid Music Recommender System Using an Incrementally Trainable Probabilistic Generative Model.
Kazuyoshi YoshiiMasataka GotoKazuhiro KomataniTetsuya OgataHiroshi G. OkunoPublished in: IEEE Trans. Speech Audio Process. (2008)
Keyphrases
- generative model
- recommender systems
- probabilistic model
- music recommendation
- mixture model
- posterior probability
- bayesian framework
- em algorithm
- collaborative filtering
- discriminative learning
- expectation maximization
- latent dirichlet allocation
- prior knowledge
- maximum entropy principle
- discriminative models
- graphical models
- topic models
- high level
- hierarchical bayesian model
- learned models
- latent space
- fully bayesian