SIGN IN
SIGN UP
Recommending twitter users to follow using content and collaborative filtering approaches
Full Text:
PDF
Buy this Article
see
source materials
below for
more options
Authors:
John Hannon
CLARITY Centre for Sensor Web Technologies, University College Dublin, Dublin, Ireland
Mike Bennett
CLARITY Centre for Sensor Web Technologies, University College Dublin, Dublin, Ireland
Barry Smyth
CLARITY Centre for Sensor Web Technologies, University College Dublin, Dublin, Ireland
Published in:
· Proceeding
RecSys '10
Proceedings of the fourth ACM conference on Recommender systems
Pages 199-206
ACM
New York, NY
, USA
©2010
table of contents
ISBN: 978-1-60558-906-0
doi>
10.1145/1864708.1864746
2010 Article
Bibliometrics
· Downloads (6 Weeks): 63
· Downloads (12 Months): 672
· Downloads (cumulative): 2,011
· Citation Count: 29
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
RecSys '13
Share:
|
Tags:
algorithms
collaborative filtering
content based recommendation
experimentation
information filtering
twitter
web 2.0
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