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» Predicting the popularity of online content
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WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
14 years 5 months ago
You are who you know: Inferring user profiles in Online Social Networks
Online social networks are now a popular way for users to connect, express themselves, and share content. Users in today's online social networks often post a profile, consis...
Alan Mislove, Bimal Viswanath, P. Krishna Gummadi,...
LWA
2007
13 years 9 months ago
Know the Right People? Recommender Systems for Web 2.0
Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. However, the rapid increase in siz...
Stefan Siersdorfer, Sergej Sizov, Paul Clough
CONEXT
2008
ACM
13 years 9 months ago
Understanding the characteristics of online commenting
In this poster, we investigate the characteristics of online commenting behaviors which can influence on the popularity of various online contents, such as user created contents. ...
Jong Gun Lee, Kavé Salamatian
WCW
2004
Springer
14 years 28 days ago
Dynamic Content Placement for Mobile Content Distribution Networks
As wireless networks increase in popularity, the development of efficient content distribution techniques to meet the growing and constantly changing client demand becomes a necess...
Wagner Moro Aioffi, Geraldo Robson Mateus, Jussara...
SIGIR
2009
ACM
14 years 2 months ago
Detecting spammers and content promoters in online video social networks
A number of online video social networks, out of which YouTube is the most popular, provides features that allow users to post a video as a response to a discussion topic. These f...
Fabrício Benevenuto, Tiago Rodrigues, Virg&...