Preference Structure, Inference and Set-Oriented Retrieval.
Yiyu Yao, S. K. Michael Wong:
Preference Structure, Inference and Set-Oriented Retrieval.
SIGIR 1991: 211-218@inproceedings{DBLP:conf/sigir/YaoW91,
author = {Yiyu Yao and
S. K. Michael Wong},
editor = {Abraham Bookstein and
Yves Chiaramella and
Gerard Salton and
Vijay V. Raghavan},
title = {Preference Structure, Inference and Set-Oriented Retrieval},
booktitle = {Proceedings of the 14th Annual International ACM SIGIR Conference
on Research and Development in Information Retrieval. Chicago,
Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR
Forum)},
publisher = {ACM},
year = {1991},
isbn = {0-89791-448-1},
pages = {211-218},
ee = {db/conf/sigir/YaoW91.html},
crossref = {DBLP:conf/sigir/91},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
In this paper, a framework for modeling information retrieval is introduced by combining the salient
features of many inferencebased and setoriented retrieval models. The degrees of relevance of different
subsets of documeuts are inferred from the user preference judgments on subsets of index terms. In
order to demonstrate the usefulness of the proposed framework, the Boolean and the binary vector
space models are analyzed. This analysis reveals the structures implicitly used in these models.
Copyright © 1991 by the ACM,
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BibTeX
Printed Edition
Abraham Bookstein, Yves Chiaramella, Gerard Salton, Vijay V. Raghavan (Eds.):
Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Chicago, Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR Forum).
ACM 1991, ISBN 0-89791-448-1
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