A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model.
Antonio HernandoJesús BobadillaFernando OrtegaPublished in: Knowl. Based Syst. (2016)
Keyphrases
- negative matrix factorization
- probabilistic model
- collaborative filtering recommender systems
- bayesian networks
- matrix factorization
- collaborative filtering
- recommender systems
- principal component analysis
- generative model
- sparse representation
- language model
- document clustering
- item based collaborative filtering
- personalized recommendation
- image processing
- topic models
- spectral clustering
- semi supervised learning
- multiscale