About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
ICTIR 2017
Conference paper
Robust standard deviation estimation for query performance prediction
Abstract
We derive a robust standard deviation estimator for post-retrieval query performance prediction. To this end, we propose a novel bootstrap sampling approach which is inspired by user search behavior. Using an evaluation with several TREC benchmarks and a comparison with several different types of baselines, we demonstrate that, overall, our estimator results in an enhanced query performance prediction.