An Interpretation of Index Term Weighting Schemes Based on Document Components.
K. L. Kwok:
An Interpretation of Index Term Weighting Schemes Based on Document Components.
SIGIR 1986: 275-283@inproceedings{DBLP:conf/sigir/Kwok86,
author = {K. L. Kwok},
title = {An Interpretation of Index Term Weighting Schemes Based on Document
Components},
booktitle = {SIGIR'86, Proceedings of the 9th Annual International ACM SIGIR
Conference on Research and Development in Information Retrieval,
Pisa, Italy, September 8-10, 1986},
publisher = {ACM},
year = {1986},
pages = {275-283},
ee = {db/conf/sigir/Kwok86.html},
crossref = {DBLP:conf/sigir/86},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
A theory of indexing is presented and is based on viewing a document as constituted of components. A component may be chosen as any run of text unit that can
be: (a) judged as to its relevancy property; and (b) considered as independent within the document. By looking at the constituent components of a document in
relation to the universe of all components from the collection, we have been able to apply Bayes' decision theory to derive the index term representation for the
document, as well as attaching an initial probabilistic weight for each term based on a Principle of Document Self-Recovery. It turns out that different choices of
document components, such as a word or a whole abstract, can lead to different term weighting schemes that have been introduced before and are based on
probability considerations; specifically, Edmundson and Wyllys' term significance formula, Sparck Jones' inverse document frequency, and later modified by Croft
and Harper into the 'combination match' formula. Thus, a unified interpretation of various probabilistic term weighting schemes appears possible.
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BibTeX
Printed Edition
SIGIR'86, Proceedings of the 9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Pisa, Italy, September 8-10, 1986.
ACM 1986
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