The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes.
Nils ReimersIryna GurevychPublished in: CoRR (2020)
Keyphrases
- low dimensional
- high dimensional
- information retrieval
- high dimensional data
- dimensionality reduction
- dimension reduction
- manifold learning
- high dimensionality
- vector space
- euclidean space
- feature space
- data points
- principal component analysis
- input space
- database
- information retrieval systems
- text mining
- information access
- subspace clustering
- similarity search
- test collection
- vector space model
- retrieval model
- high dimensional spaces
- text retrieval
- inverted index
- inverted file
- document collections
- nonlinear dimensionality reduction
- pattern recognition
- retrieval systems
- multidimensional scaling
- graph embedding
- indexing techniques
- b tree
- relevant documents
- sparse representation
- index structure
- language model
- nearest neighbor
- neural network