Dimensionality reduction using non-negative matrix factorization for information retrieval.
Satoru TsugeMasami ShishiboriShingo KuroiwaKenji KitaPublished in: SMC (2001)
Keyphrases
- dimensionality reduction
- information retrieval
- data representation
- high dimensional
- low dimensional
- information retrieval systems
- feature extraction
- principal component analysis
- structure preserving
- question answering
- manifold learning
- high dimensionality
- feature space
- information extraction
- document retrieval
- data points
- principal components
- retrieval effectiveness
- retrieval model
- nonlinear dimensionality reduction
- feature selection
- document collections
- text mining
- neural network
- text retrieval
- text categorization
- pattern recognition and machine learning
- dimensionality reduction methods
- lower dimensional
- vector space model
- linear dimensionality reduction
- information access
- learning to rank
- knn
- linear discriminant analysis
- relevant documents
- high dimensional data
- relevance feedback
- nearest neighbor