SIGN IN
SIGN UP
A large-scale study of the effect of training set characteristics over learning-to-rank algorithms
Full Text:
PDF
Buy this Article
Authors:
Evangelos Kanoulas
University of Sheffield, Sheffield, MA, USA
Stefan Savev
Northeastern University, Boston, MA, USA
Pavel Metrikov
Northeastern University, Boston, MA, USA
Virgil Pavlu
Northeastern University, Boston, MA, USA
Javed Aslam
Northeastern University, Boston, MA, USA
2011 Article
Poster
Bibliometrics
· Downloads (6 Weeks): 5
· Downloads (12 Months): 54
· Downloads (cumulative): 133
· Citation Count: 0
Published in:
· Proceeding
SIGIR '11
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Pages 1243-1244
ACM
New York, NY
, USA
©2011
table of contents
ISBN: 978-1-4503-0757-4
doi>
10.1145/2009916.2010140
Tools and Resources
Buy this Article
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
SIGIR '13
Share:
|
Tags:
document selection methodologies
experimentation
learning-to-rank
measurement
retrieval models
theory
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder