SIGN IN
SIGN UP
Towards a highly-scalable and effective metasearch engine
Full Text:
PDF
Buy this Article
Authors:
Zonghuan Wu
Department of Computer Science, SUNY at Binghamton, Binghamton, NY
Weiyi Meng
Department of Computer Science, SUNY at Binghamton, Binghamton, NY
Clement Yu
Department of Computer Science, University of Illinois at Chicago, Chicago, IL
Zhuogang Li
Department of Computer Science, SUNY at Binghamton, Binghamton, NY
2001 Article
Bibliometrics
· Downloads (6 Weeks): 2
· Downloads (12 Months): 27
· Downloads (cumulative): 255
· Citation Count: 18
Published in:
· Proceeding
WWW '01
Proceedings of the 10th international conference on World Wide Web
Pages 386-395
ACM
New York, NY
, USA
©2001
table of contents
ISBN:1-58113-348-0
doi>
10.1145/371920.372093
Tools and Resources
Buy this Article
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Share:
|
Tags:
database selection
design
distributed systems
distributed text database
experimentation
management
measurement
metasearch engine
performance
resource discovery
search process
theory
web-based interaction
web-based services
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