Ordinal Non-negative Matrix Factorization for Recommendation.
Olivier GouvertThomas OberlinCédric FévottePublished in: ICML (2020)
Keyphrases
- negative matrix factorization
- matrix factorization
- collaborative filtering
- recommender systems
- nonnegative matrix factorization
- sparse representation
- tensor factorization
- document clustering
- recommendation systems
- user preferences
- principal component analysis
- pattern recognition
- constrained least squares
- spectral clustering
- update rule
- sparsity constraints
- signal processing