This paper examines statistical techniques for exploiting relevance information to weight search terms. These techniques are presented as a natural extension of weighting methods using information about the distribution of index terms in documents in general. A series of relevance weighting functions is derived and is justified by theoretical considerations. In particular, it is shown that specific weighted search methods are implied by a general probabilistic theory of retrieval. Different applications of relevance weighting are illustrated by experimental results for test collections.
School of Library, Archive and Information Studies University College London London WC1E 6BT, England; Computer Laboratory University of Cambridge Cambridge CB2 3QG, England
год
1976
журнал
Journal of the American Society for Information Science
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%0 Journal Article
%1 Robertson-Relevance-1976
%A Robertson, S. E.
%A Jones, Sparck K.
%C School of Library, Archive and Information Studies University College London London WC1E 6BT, England; Computer Laboratory University of Cambridge Cambridge CB2 3QG, England
%D 1976
%J Journal of the American Society for Information Science
%K ir ranking relevance weighting
%N 3
%P 129--146
%R 10.1002/asi.4630270302
%T Relevance weighting of search terms
%U http://dx.doi.org/10.1002/asi.4630270302
%V 27
%X This paper examines statistical techniques for exploiting relevance information to weight search terms. These techniques are presented as a natural extension of weighting methods using information about the distribution of index terms in documents in general. A series of relevance weighting functions is derived and is justified by theoretical considerations. In particular, it is shown that specific weighted search methods are implied by a general probabilistic theory of retrieval. Different applications of relevance weighting are illustrated by experimental results for test collections.
@article{Robertson-Relevance-1976,
abstract = {This paper examines statistical techniques for exploiting relevance information to weight search terms. These techniques are presented as a natural extension of weighting methods using information about the distribution of index terms in documents in general. A series of relevance weighting functions is derived and is justified by theoretical considerations. In particular, it is shown that specific weighted search methods are implied by a general probabilistic theory of retrieval. Different applications of relevance weighting are illustrated by experimental results for test collections.},
added-at = {2009-03-31T12:08:28.000+0200},
address = {School of Library, Archive and Information Studies University College London London WC1E 6BT, England; Computer Laboratory University of Cambridge Cambridge CB2 3QG, England},
author = {Robertson, S. E. and Jones, Sparck K.},
biburl = {https://www.bibsonomy.org/bibtex/20b1b36aa39c0f00d286a56054d56aee5/folke},
citeulike-article-id = {1839956},
doi = {10.1002/asi.4630270302},
interhash = {67e5814e51aa3fdddadc2e8274bcb03d},
intrahash = {0b1b36aa39c0f00d286a56054d56aee5},
journal = {Journal of the American Society for Information Science},
keywords = {ir ranking relevance weighting},
number = 3,
pages = {129--146},
posted-at = {2007-10-30 11:03:54},
priority = {4},
timestamp = {2009-03-31T12:08:28.000+0200},
title = {Relevance weighting of search terms},
url = {http://dx.doi.org/10.1002/asi.4630270302},
volume = 27,
year = 1976
}