Active learning for online bayesian matrix factorization.
Jorge G. SilvaLawrence CarinPublished in: KDD (2012)
Keyphrases
- matrix factorization
- active learning
- variational bayesian
- collaborative filtering
- low rank
- online learning
- negative matrix factorization
- factorization methods
- stochastic gradient descent
- recommender systems
- missing data
- probabilistic matrix factorization
- nonnegative matrix factorization
- factor analysis
- data sparsity
- item recommendation
- semi supervised
- implicit feedback
- binary matrix
- random sampling
- online algorithms
- data matrix
- data sets
- maximum likelihood
- supervised learning
- learning process
- learning algorithm