The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes.
Nils ReimersIryna GurevychPublished in: ACL/IJCNLP (2) (2021)
Keyphrases
- low dimensional
- high dimensional
- information retrieval
- high dimensional data
- dimensionality reduction
- dimension reduction
- input space
- information retrieval systems
- vector space
- high dimensionality
- feature space
- principal component analysis
- manifold learning
- similarity search
- search engine
- euclidean space
- inverted file
- learning to rank
- database
- retrieval model
- indexing techniques
- vector space model
- linear subspace
- graph embedding
- linear dimensionality reduction
- data points
- information extraction
- text mining
- data sets
- question answering
- linear discriminant analysis
- document collections
- metric space
- relevance feedback
- information access
- nearest neighbor
- multi dimensional
- nonlinear dimensionality reduction
- inverted index
- document retrieval
- language model
- query expansion
- kernel function
- index structure
- retrieval systems