1989
@techreport{WYS1989,
vgclass = {report},
author = {S. K. M. Wong and Y. Y. Yao and Gerard Salton and Chris
Buckley},
title = {Formalization and Evaluation of Linear Relevance Feedback},
number = {89-992},
institution = {Department of Computer Science, Cornell University},
address = {Ithaca, New York 14853-7501},
month = {April},
year = {1989},
url = {http://ecommons.library.cornell.edu/handle/1813/6908},
url1 = {http://ecommons.library.cornell.edu/bitstream/1813/6908/1/89-992.pdf},
abstract = {This study outlines an adaptive method which constructs
improved query vectors based on the user preference judgments on sample
document pairs. In particular, the user states that some documents are
preferred to other documents and the system is then expected to rank
the preferred documents ahead of the others. In the adaptive system,
all needed parameter values are provided within the model, and a
solution query vector is constructed under well defined conditions.
Certain relationships between the new adaptive and the conventional
relevance feedback systems are discussed and evaluation data are
provided to demonstrate the effectiveness of the system.},
}