SIGN IN
SIGN UP
Incorporating terminology evolution for query translation in text retrieval with association rules
Full Text:
PDF
Buy this Article
Authors:
Amal C. Kaluarachchi
Montclair State University, Montclair, NJ, USA
Aparna S. Varde
Montclair State University, Montclair, NJ, USA
Srikanta Bedathur
Max Planck Institut für Informatik, Saarbrücken, Germany
Gerhard Weikum
Max Planck Institut für Informatik, Saarbrücken, Germany
Jing Peng
Montclair State University, Montclair, NJ, USA
Anna Feldman
Montclair State University, Montclair, NJ, USA
2010 Article
Poster
Bibliometrics
· Downloads (6 Weeks): 6
· Downloads (12 Months): 33
· Downloads (cumulative): 102
· Citation Count: 1
Published in:
· Proceeding
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Pages 1789-1792
ACM
New York, NY
, USA
©2010
table of contents
ISBN: 978-1-4503-0099-5
doi>
10.1145/1871437.1871730
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
CIKM'13
Share:
|
Tags:
algorithms
association rules
contextual similarity
data mining
design
experimentation
human factors
natural language processing
performance
query formulation
ranking
search
web ir
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