How does high dimensionality affect collaborative filtering?
Alexandros NanopoulosMilos RadovanovicMirjana IvanovicPublished in: RecSys (2009)
Keyphrases
- high dimensionality
- collaborative filtering
- high dimensional
- high dimensional data
- recommender systems
- feature space
- small sample size
- feature selection
- dimensionality reduction
- microarray
- matrix factorization
- dimension reduction
- user preferences
- data sparsity
- data dimensionality
- high dimensional datasets
- gene expression data
- class imbalance
- highly correlated
- feature selection and classification
- noisy data
- small number of samples
- database
- low dimensional
- low dimensionality
- image data
- feature extraction
- decision trees
- high dimensional spaces
- gene expression
- feature ranking
- subspace clustering
- user profiles
- nearest neighbor
- upper bound
- real world