Unsupervised Selective Manifold Regularized Matrix Factorization.
Priya ManiCarlotta DomeniconiIgor GrivaPublished in: SDM (2021)
Keyphrases
- matrix factorization
- collaborative filtering
- low rank
- recommender systems
- missing data
- negative matrix factorization
- stochastic gradient descent
- nonnegative matrix factorization
- tensor factorization
- factorization methods
- unsupervised learning
- factor analysis
- data sparsity
- variational bayesian
- implicit feedback
- supervised learning
- sparsity constraints
- item recommendation
- least squares
- pairwise
- matrix completion
- personalized ranking