The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes.

Nils Reimers Iryna Gurevych

Published 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