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Cited by 394

The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.

The Geometry of Information Retrieval

van Rijsbergen, C. J.·2004·Cambridge University Press eBooks

Abstract

Information retrieval, IR, the science of extracting information from any potential source, can be viewed in a number of ways: logical, probabilistic and vector space models are some of the most important. In this book, the author, one of the leading researchers in the area, shows how these views can be reforged in the same framework used to formulate the general principles of quantum mechanics. All the usual quantum-mechanical notions have their IR-theoretic analogues, and the standard results can be applied to address problems in IR, such as pseudo-relevance feedback, relevance feedback and ostensive retrieval. The relation with quantum computing is also examined. To keep the book self-contained appendices with background material on physics and mathematics are included. Each chapter ends with bibliographic remarks that point to further reading. This is an important, ground-breaking book, with much new material, for all those working in IR, AI and natural language processing.

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Metadata

Authors
van Rijsbergen, C. J.
Venue
Cambridge University Press eBooks
Published
2004-08-12
OpenAlex
W4211080241
Cited by
394
References
68
FWCI
3.31
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Geometry of Information Retrieval. https://app.cochat.ai/papers/10.1017/cbo9780511543333
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van Rijsbergen, C. J. (2004). The Geometry of Information Retrieval. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511543333

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.