Kernelized Bayesian Matrix Factorization.
Mehmet GönenSuleiman A. KhanSamuel KaskiPublished in: ICML (3) (2013)
Keyphrases
- matrix factorization
- variational bayesian
- collaborative filtering
- low rank
- recommender systems
- missing data
- probabilistic matrix factorization
- factorization methods
- data sparsity
- factor analysis
- negative matrix factorization
- nonnegative matrix factorization
- item recommendation
- stochastic gradient descent
- tensor factorization
- bayesian networks
- posterior probability
- bayesian inference
- implicit feedback
- data matrix
- text mining
- kernel function
- latent factors
- maximum likelihood