SIGN IN
SIGN UP
Fast query evaluation for ad retrieval
Full Text:
PDF
Buy this Article
Authors:
Ye Chen
Microsoft Corporation, Mountain View, CA, USA
Mitali Gupta
Microsoft Corporation, Mountain View, CA, USA
Tak W. Yan
Microsoft Corporation, Mountain View, CA, USA
Published in:
· Proceeding
WWW '12 Companion
Proceedings of the 21st international conference companion on World Wide Web
Pages 479-480
ACM
New York, NY
, USA
©2012
table of contents
ISBN: 978-1-4503-1230-1
doi>
10.1145/2187980.2188086
2012 Article
Poster
Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 30
· Downloads (cumulative): 35
· Citation Count: 0
Tools and Resources
Buy this Article
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Share:
|
Tags:
ad relevance
ad selection
algorithms
experimentation
performance
query evaluation
retrieval models
selection process
wand
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