Divergence Based Non-Negative Matrix Factorization for top-N Recommendations.
Md. Enamul HaqueS. M. ZobaedMehmet Engin TozalVijay RaghavanPublished in: HICSS (2019)
Keyphrases
- negative matrix factorization
- nonnegative matrix factorization
- matrix factorization
- sparse representation
- document clustering
- principal component analysis
- constrained least squares
- spectral clustering
- image processing
- probabilistic latent semantic analysis
- update rule
- unsupervised learning
- collaborative filtering
- keywords
- computer vision
- sparsity constraints
- search engine