An Application of Least Squares Fit Mapping to Text Information Retrieval.
Yiming Yang, Christopher G. Chute:
An Application of Least Squares Fit Mapping to Text Information Retrieval.
SIGIR 1993: 281-290@inproceedings{DBLP:conf/sigir/YangC93,
author = {Yiming Yang and
Christopher G. Chute},
editor = {Robert Korfhage and
Edie M. Rasmussen and
Peter Willett 0002},
title = {An Application of Least Squares Fit Mapping to Text Information
Retrieval},
booktitle = {Proceedings of the 16th Annual International ACM-SIGIR Conference
on Research and Development in Information Retrieval. Pittsburgh,
PA, USA, June 27 - July 1, 1993},
publisher = {ACM},
year = {1993},
isbn = {0-89791-605-0},
pages = {281-290},
ee = {db/conf/sigir/YangC93.html},
crossref = {DBLP:conf/sigir/93},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
This paper describes a unique example-based mapping method for document retrieval. We
discovered that the knowledge about relevance among queries and documents can be used to obtain
empirical connections between query terms and the canonical concepts which are used for indexing
the content of documents. These connections do not depend on whether there are shared terms
among the queries and documents; therefore, they are especially effective for a mapping from
queries to the documents where the concepts are relevant but the terms used by article authors
happen to be different from the terms of database users. We employ a Linear Least Squares Fit
(LLSF) technique to compute such connections from a collection of queries and documents where
the relevance is assigned by humans, and then use these connections in the retrieval of documents
where the relevance is unknown. We tested this method on both retrieval and indexing with a set of
MEDLINE documents which has been used by other information retrieval systems for evaluations.
The effectiveness of the LLSF mapping and the significant improvement over alternative approaches
was evident in the tests.
Copyright © 1993 by the ACM,
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BibTeX
Printed Edition
Robert Korfhage, Edie M. Rasmussen, Peter Willett (Eds.):
Proceedings of the 16th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Pittsburgh, PA, USA, June 27 - July 1, 1993.
ACM 1993, ISBN 0-89791-605-0
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