Kernel-Based Feature Extraction for Collaborative Filtering.
Saket SatheCharu C. AggarwalXiangnan KongXinyue LiuPublished in: ICDM (2017)
Keyphrases
- collaborative filtering
- feature extraction
- recommender systems
- feature selection
- matrix factorization
- pattern classification
- preprocessing
- image processing
- feature vectors
- discriminant analysis
- user preferences
- kernel pca
- user profiles
- image classification
- face recognition
- pattern recognition
- dimension reduction
- wavelet transform
- support vector machine
- linear feature extraction
- feature extractors
- neural network
- multiscale
- principal component analysis
- probabilistic matrix factorization
- web page recommendation
- cold start problem
- data sparsity
- user ratings
- gabor filters
- kernel methods
- texture features
- frequency domain
- feature space
- support vector
- extracted features
- feature representation
- linear discriminant analysis
- image preprocessing
- support vector machine svm
- feature set
- dimensionality reduction