Key points are not available for this paper at this time.
Relevance feedback is an automatic process, introduced over 20 years ago, designed to produce improved query formulations following an initial retrieval operation. The principal relevance feedback methods described over the years are examined briefly, and evaluation data are included to demonstrate the effectiveness of the various methods. Prescriptions are given for conducting text retrieval operations iteratively using relevance feedback. © 1990 John Wiley & Sons, Inc.
Building similarity graph...
Analyzing shared references across papers
Loading...
Gerard Salton
United States Geological Survey
Chris Buckley
PAREXEL International (United Kingdom)
Journal of the American Society for Information Science
Cornell University
Building similarity graph...
Analyzing shared references across papers
Loading...
Salton et al. (Fri,) studied this question.
synapsesocial.com/papers/6a0ec2ad9b9be660c1f99aab — DOI: https://doi.org/10.1002/(sici)1097-4571(199006)41:4<288::aid-asi8>3.0.co;2-h