Active Learning with Bayesian Nonnegative Matrix Factorization for Recommender Systems.
Gonul AyciAbdullatif KöksalM. Melih MutluBurak SuyunuA. Taylan CemgilPublished in: SIU (2019)
Keyphrases
- nonnegative matrix factorization
- recommender systems
- matrix factorization
- active learning
- probabilistic latent semantic indexing
- collaborative filtering
- negative matrix factorization
- low rank
- nonnegative matrix
- data representation
- least squares
- learning algorithm
- spectral clustering
- training set
- semi supervised
- supervised learning
- document clustering
- machine learning
- unlabeled data
- data sets
- principal component analysis
- relevance feedback
- original data
- missing data
- image retrieval
- information retrieval systems
- image sequences
- search engine
- learning process