Kernelized Sparse Bayesian Matrix Factorization.
Caoyuan LiHong-Bo XieXuhui FanRichard Yi Da XuSabine Van HuffelKerrie L. MengersenPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- factor analysis
- missing data
- kernel function
- low rank
- nonnegative matrix factorization
- factorization methods
- negative matrix factorization
- variational bayesian
- stochastic gradient descent
- probabilistic matrix factorization
- personalized ranking
- data sparsity
- tensor factorization
- data matrix
- implicit feedback
- multi task
- factorization method
- latent factors
- feature selection