Collaborative Filtering through SVD-Based and Hierarchical Nonlinear PCA.
Manolis G. VozalisAngelos I. MarkosKonstantinos G. MargaritisPublished in: ICANN (1) (2010)
Keyphrases
- collaborative filtering
- principal component analysis
- singular value decomposition
- kernel pca
- recommender systems
- matrix factorization
- face recognition
- kernel principal component analysis
- covariance matrix
- independent component analysis
- principle component analysis
- data sparsity
- principal components analysis
- dimensionality reduction
- linear dimensionality reduction
- dimension reduction
- principal components
- high dimensional
- appearance based object recognition
- making recommendations
- probabilistic matrix factorization
- coarse to fine
- user interests
- hierarchical clustering
- hierarchical structure
- recommendation algorithms
- recommendation systems
- high dimensional feature space
- image processing
- latent factor models
- cluster analysis
- high order
- feature extraction
- deal with information overload