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Query Expansion Using Local and Global Document Analysis (1996)
| Venue: | In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Citations: | 609 - 24 self |
BibTeX
@INPROCEEDINGS{Xu96queryexpansion,
author = {Jinxi Xu and W. Bruce Croft},
title = {Query Expansion Using Local and Global Document Analysis},
booktitle = {In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval},
year = {1996},
pages = {4--11}
}
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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 relationships (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 has some advantages, local analysis is generally more effective. We also show that using global analysis techniques, such as word context and phrase structure, on the local set of documents produces results that are both more effective and more predictable than simple local feedback. 1 Introduction The problem of word mismatch is fundamental to information retrieval. Simply stated, it means that people often use different words to describe concepts in their queries than auth...
Keyphrases
global document analysis expansion using local word mismatch information retrieval local analysis local set initial query global analysis technique automatic query expansion different word global technique fundamental issue phrase structure simple local feedback local feedback word relationship word context global analysis document produce result
