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Cited by 1,081

The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.

Inverted files for text search engines

Open access
Zobel, Justin, Moffat, Alistair·2006·ACM Computing Surveys

Abstract

The technology underlying text search engines has advanced dramatically in the past decade. The development of a family of new index representations has led to a wide range of innovations in index storage, index construction, and query evaluation. While some of these developments have been consolidated in textbooks, many specific techniques are not widely known or the textbook descriptions are out of date. In this tutorial, we introduce the key techniques in the area, describing both a core implementation and how the core can be enhanced through a range of extensions. We conclude with a comprehensive bibliography of text indexing literature.

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Metadata

Authors
Zobel, J., & Moffat, A.
Venue
ACM Computing Surveys
Published
2006-07-25
Volume
38
Issue
2
Pages
6
ISSN
  • 0360-0300 (ISSN-L)
  • 1557-7341
OpenAlex
W2138662031
Cited by
1,081
References
86
FWCI
65.44
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Inverted files for text search engines. https://app.cochat.ai/papers/10.1145/1132956.1132959
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Zobel, J., & Moffat, A. (2006). Inverted files for text search engines. ACM Computing Surveys. https://doi.org/10.1145/1132956.1132959

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.