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Quary Expansion Using Local and Global Document Analysis

Xu, Jinxi, Croft, W. Bruce·2017·ACM SIGIR Forum

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 expansion 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 query ( 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.

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Metadata

Authors
Xu, J., & Croft, W. B.
Venue
ACM SIGIR Forum
Published
2017-08-02
Volume
51
Issue
2
Pages
168-175
ISSN
0163-5840 (ISSN-L)
OpenAlex
W1979459060
Cited by
1,252
References
0
FWCI
67.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Quary Expansion Using Local and Global Document Analysis. https://app.cochat.ai/papers/10.1145/3130348.3130364
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Xu, J., & Croft, W. B. (2017). Quary Expansion Using Local and Global Document Analysis. ACM SIGIR Forum. https://doi.org/10.1145/3130348.3130364

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