Works (1)

Updated: July 5th, 2023 15:46

2011 journal article

IMPORTANCE SAMPLING FOR A MONTE CARLO MATRIX MULTIPLICATION ALGORITHM, WITH APPLICATION TO INFORMATION RETRIEVAL

SIAM JOURNAL ON SCIENTIFIC COMPUTING, 33(4), 1689–1706.

By: S. Eriksson-Bique, M. Solbrig, M. Stefanelli, S. Warkentin, R. Abbey* & I. Ipsen*

Contributors: S. Eriksson-Bique, M. Solbrig, M. Stefanelli, S. Warkentin, R. Abbey* & I. Ipsen

author keywords: randomized algorithm; expected value; variance; term-by-document matrix; query matching
TL;DR: Numerical experiments with query matching in information retrieval applications illustrate that the optimized probabilities produce more accurate matchings than the uniform probabilities and that they can also be computed efficiently. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.