A novel robust recommendation method based on kernel matrix factorization.
Hongtao YuRuibo GaoKun WangFuzhi ZhangPublished in: J. Intell. Fuzzy Syst. (2017)
Keyphrases
- matrix factorization
- collaborative filtering
- low rank matrix
- low rank
- factorization methods
- nonnegative matrix factorization
- recommender systems
- missing data
- stochastic gradient descent
- factor analysis
- negative matrix factorization
- data sparsity
- implicit feedback
- data matrix
- item recommendation
- variational bayesian
- support vector
- kernel function
- latent factor models
- personalized ranking
- factorization method
- feature space