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Automatic Query Expansion Using SMART : TREC 3 (0)
| Venue: | In Proceedings of The third Text REtrieval Conference (TREC-3 |
| Citations: | 204 - 4 self |
BibTeX
@INPROCEEDINGS{Buckley_automaticquery,
author = {Chris Buckley},
title = {Automatic Query Expansion Using SMART : TREC 3},
booktitle = {In Proceedings of The third Text REtrieval Conference (TREC-3},
year = {},
pages = {69--80}
}
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Abstract
The Smart information retrieval project emphasizes completely automatic approaches to the understanding and retrieval of large quantities of text. We continue our work in TREC 3, performing runs in the routing, ad-hoc, and foreign language environments. Our major focus is massive query expansion: adding from 300 to 530 terms to each query. These terms come from known relevant documents in the case of routing, and from just the top retrieved documents in the case of ad-hoc and Spanish. This approach improves effectiveness from 7% to 25% in the various experiments. Other ad-hoc work extends our investigations into combining global similarities, giving an overall indication of how a document matches a query, with local similarities identifying a smaller part of the document which matches the query. Using an overlapping text window definition of "local", we achieve a 16% improvement. Introduction For over 30 years, the Smart project at Cornell University has been interested in the analy...
Keyphrases
automatic query expansion using smart smart information retrieval project global similarity massive query expansion text window definition ad-hoc work cornell university foreign language environment smart project major focus relevant document top retrieved document automatic approach overall indication various experiment local similarity large quantity
