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WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
14 years 1 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,...
BCSHCI
2007
13 years 6 months ago
"The devil you know knows best": how online recommendations can benefit from social networking
The defining characteristic of the Internet today is an abundance of information and choice. Recommender Systems (RS), designed to alleviate this problem, have so far not been ver...
Philip Bonhard, Martina Angela Sasse, Clare Harrie...
CSCW
2008
ACM
13 years 6 months ago
It's all 'about you': diversity in online profiles
User profiles on today's social networking sites support only a small set of predefined questions. We report on an alternative way for users to richly describe themselves, by...
Casey Dugan, Werner Geyer, Michael J. Muller, Joan...
LWA
2007
13 years 5 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
WWW
2011
ACM
12 years 11 months ago
Track globally, deliver locally: improving content delivery networks by tracking geographic social cascades
Providers such as YouTube offer easy access to multimedia content to millions, generating high bandwidth and storage demand on the Content Delivery Networks they rely upon. More ...
Salvatore Scellato, Cecilia Mascolo, Mirco Musoles...