Predicting the popularity of online articles based on user comments

Full Text: PDFPDF Buy this ArticleBuy this Article
Authors: Alexandru Tatar UPMC Sorbonne Universités
Jérémie Leguay Thales Communications
Panayotis Antoniadis UPMC Sorbonne Universités
Arnaud Limbourg 20 Minutes
Marcelo Dias de Amorim UPMC Sorbonne Universités
Serge Fdida UPMC Sorbonne Universités
Predicting the popularity of online articles based on user comments Published by ACM 2011 Article
Bibliometrics Data  Bibliometrics
· Downloads (6 Weeks): 29
· Downloads (12 Months): 123
· Downloads (cumulative): 237
· Citation Count: 2

Published in:
Cover Image
 
· Proceeding
WIMS '11 Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Article No. 67
ACM New York, NY, USA ©2011
table of contents ISBN: 978-1-4503-0148-0 doi>10.1145/1988688.1988766

Tools and Resources

Share:

|
feedback Feedback | Switch to single page view (no tabs)

Powered by The ACM Guide to Computing Literature


The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2013 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us

Useful downloads: Adobe Acrobat    QuickTime    Windows Media Player    Real Player
The ACM Guide to Computing Literature
All Tags
Export Formats
 
 
Save to Binder