Unsupervised Selective Manifold Regularized Matrix Factorization.
Priya ManiCarlotta DomeniconiIgor GrivaPublished in: CoRR (2020)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- low rank
- missing data
- negative matrix factorization
- data sparsity
- factor analysis
- factorization methods
- personalized ranking
- nonnegative matrix factorization
- unsupervised learning
- high dimensional
- semi supervised
- variational bayesian
- tensor factorization
- low dimensional
- least squares
- stochastic gradient descent
- probabilistic matrix factorization
- data matrix
- implicit feedback
- supervised learning
- feature space
- objective function