sparse matrix factorization: Difficulty and rationalization of a two-step approach.
Christophe KervazoJérôme BobinCécile ChenotFlorent SureauPublished in: Digit. Signal Process. (2020)
Keyphrases
- matrix factorization
- collaborative filtering
- tensor factorization
- low rank
- recommender systems
- low rank matrix
- latent factors
- sparse non negative
- missing data
- data sparsity
- factor analysis
- stochastic gradient descent
- nonnegative matrix factorization
- negative matrix factorization
- personalized ranking
- data matrix
- sparse representation
- variational bayesian
- sparsity constraints
- item recommendation
- probabilistic matrix factorization
- feature space
- implicit feedback
- factorization method
- sparse coding
- least squares
- factor matrices