1981
@techreport{WuB1981,
vgclass = {report},
author = {Harry Wu and Gerard Salton},
title = {A Comparison of Search Term Weighting: Term Relevance vs.\
Inverse Document Frequency},
number = {81-457},
institution = {Department of Computer Science, Cornell University},
address = {Ithaca, New York 14853-7501},
month = {April},
year = {1981},
url = {http://ecommons.library.cornell.edu/handle/1813/6297},
url1 = {http://ecommons.library.cornell.edu/bitstream/1813/6297/1/81-457.pdf},
abstract = {The term relevance weighting method has been shown to
produce optimal information retrieval queries under well-defined
conditions. The parameters needed to generate the term relevance
factors cannot unfortunately be estimated accurately in practice;
furthermore, in realistic test situations, it appears difficult to
obtain improved retrieval results using the term relevance weights over
much simpler term weighting systems such as, for example, the inverse
document frequency weights. It is shown in this study that the inverse
document frequency weights and the term relevance weights are closely
related over a wide range of the frequency spectrum. Methods are
introduced for estimating the term relevance weights, and experimental
results are given comparing the inverse document frequency with the
estimated term relevance weights.},
}