Query Variation Performance Prediction for Systematic Reviews-Reference-Cited by-同舟云学术

Query Variation Performance Prediction for Systematic Reviews

Published:2018-06-27 Issue: Volume: Page:
ISSN:
Container-title:The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
language:
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Author:

Scells Harrisen¹,Azzopardi Leif²,Zuccon Guido¹,Koopman Bevan³

Affiliation:

1. Queensland University of Technology, Brisbane, Australia

2. Strathclyde University, Glasgow, Scotland Uk

3. CSIRO, Brisbane, Australia

Funder

Google

Australian Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3209978.3210078

Reference27 articles.

1. L. Azzopardi . 2009. Query side evaluation: an empirical analysis of effectiveness and effort SIGIR. 10.1145/1571941.1572037 L. Azzopardi . 2009. Query side evaluation: an empirical analysis of effectiveness and effort SIGIR. 10.1145/1571941.1572037

2. Lucene4IR

3. P. Bailey A. Moffat F. Scholer and P. Thomas . 2016. UQV100: A Test Collection with Query Variability SIGIR. 10.1145/2911451.2914671 P. Bailey A. Moffat F. Scholer and P. Thomas . 2016. UQV100: A Test Collection with Query Variability SIGIR. 10.1145/2911451.2914671

4. F. Boudin J. Nie and M. Dawes . 2010. Clinical Information Retrieval using Document and PICO Structure HLT. F. Boudin J. Nie and M. Dawes . 2010. Clinical Information Retrieval using Document and PICO Structure HLT.

5. S. Cronen-Townsend Y. Zhou and W. B. Croft . 2002. Predicting query performance. In SIGIR. 10.1145/564376.564429 S. Cronen-Townsend Y. Zhou and W. B. Croft . 2002. Predicting query performance. In SIGIR. 10.1145/564376.564429

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