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Query expansion using local and global document analysis

Open access
Xu, Jinxi, Croft, W. Bruce·1996·Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '96

Abstract

Automatic query expansion has long been suggested as a technique for dealing with the fundamental issue of word mismatch in information retrieval.A number of approaches to ezpanrnion have been studied and, more recently, attention has focused on techniques that analyze the corpus to discover word relationship (global techniques) and those that analyze documents retrieved by the initial quer~( local feedback).In this paper, we compare the effectiveness of these approaches and show that, although global analysis haa some advantages, local analysia is generally more effective.We also show that using global analysis techniques, such as word contezt and phrase structure, on the local aet of documents produces results that are both more effective and more predictable than simple local feedback.

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Metadata

Authors
Xu, J., & Croft, W. B.
Venue
Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '96
Publisher
ACM Press
Published
1996
Pages
4-11
OpenAlex
W4231856373
Cited by
831
References
0
FWCI
16.49
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Query expansion using local and global document analysis. https://app.cochat.ai/papers/10.1145/243199.243202
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Xu, J., & Croft, W. B. (1996). Query expansion using local and global document analysis. Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '96. https://doi.org/10.1145/243199.243202

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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.