Supervised feature selection by constituting a basis for the original space of features and matrix factorization.
Farid Saberi MovahedMahdi EftekhariMohammad MohtashamiPublished in: Int. J. Mach. Learn. Cybern. (2020)
Keyphrases
- matrix factorization
- collaborative filtering
- missing data
- low rank
- nonnegative matrix factorization
- feature space
- factorization methods
- feature vectors
- recommender systems
- supervised feature selection
- negative matrix factorization
- data sets
- co occurrence
- latent factors
- multiple features
- pattern recognition
- feature extraction
- decision trees
- data mining