Column subset selection, matrix factorization, and eigenvalue optimization.
Joel A. TroppPublished in: SODA (2009)
Keyphrases
- matrix factorization
- subset selection
- data matrix
- collaborative filtering
- stochastic gradient descent
- recommender systems
- binary matrix
- low rank
- missing data
- feature selection
- negative matrix factorization
- factorization methods
- hill climbing
- data sparsity
- factor analysis
- nonnegative matrix factorization
- variational bayesian
- implicit feedback
- optimization problems
- constrained optimization
- item recommendation
- least squares
- latent factors
- scheduling problem
- evolutionary algorithm
- personalized ranking