Comparison of collaborative deep learning and nonnegative matrix factorization for recommender systems.
Mine ÖgretirAli Taylan CemgilPublished in: SIU (2017)
Keyphrases
- deep learning
- nonnegative matrix factorization
- matrix factorization
- recommender systems
- collaborative filtering
- negative matrix factorization
- unsupervised learning
- data representation
- spectral clustering
- weakly supervised
- machine learning
- least squares
- mental models
- information retrieval
- text categorization
- pattern recognition
- image representation
- document clustering
- image classification
- signal processing
- principal component analysis
- natural language processing
- support vector
- image segmentation