SIGN IN
SIGN UP
Machine learning for information architecture in a large governmental website
Full Text:
PDF
Buy this Article
Authors:
Miles Efron
University of North Carolina, Chapel Hill, NC
Jonathan Elsas
University of North Carolina, Chapel Hill, NC
Gary Marchionini
University of North Carolina, Chapel Hill, NC
Junliang Zhang
University of North Carolina, Chapel Hill, NC
2004 Article
Bibliometrics
· Downloads (6 Weeks): 0
· Downloads (12 Months): 13
· Downloads (cumulative): 573
· Citation Count: 5
Published in:
· Proceeding
JCDL '04
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Pages 151-159
ACM
New York, NY
, USA
©2004
table of contents
ISBN:1-58113-832-6
doi>
10.1145/996350.996386
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
JCDL '13
Share:
|
Tags:
clustering
design
experimentation
information architecture
interface design
machine learning
systems issues
user issues
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