Query Expansion Using Local and Global Document Analysis.

Jinxi Xu, W. Bruce Croft: Query Expansion Using Local and Global Document Analysis. SIGIR 1996: 4-11

@inproceedings{DBLP:conf/sigir/XuC96,
  author    = {Jinxi Xu and
               W. Bruce Croft},
  editor    = {Hans-Peter Frei and
               Donna Harman and
               Peter Sch{\"a}uble and
               Ross Wilkinson},
  title     = {Query Expansion Using Local and Global Document Analysis},
  booktitle = {Proceedings of the 19th Annual International ACM SIGIR Conference
               on Research and Development in Information Retrieval, SIGIR'96,
               August 18-22, 1996, Zurich, Switzerland (Special Issue of the
               SIGIR Forum)},
  publisher = {ACM},
  year      = {1996},
  isbn      = {0-89791-792-8},
  pages     = {4-11},
  ee        = {db/conf/sigir/XuC96.html},
  crossref  = {DBLP:conf/sigir/96},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

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 has some advantages, local analysis is generally more effective. We also show that using global analysis techniques, such as word contezt and phrase structure, on the local set of documents produces results that are both more effective and more predictable than simple local feedback.

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Hans-Peter Frei, Donna Harman, Peter Schäuble, Ross Wilkinson (Eds.): Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'96, August 18-22, 1996, Zurich, Switzerland (Special Issue of the SIGIR Forum). ACM 1996, ISBN 0-89791-792-8
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