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WSDM
2010
ACM
365views Data Mining» more  WSDM 2010»
14 years 4 months ago
A Novel Click Model and Its Applications to Online Advertising
Recent advances in click model have positioned it as an attractive method for representing user preferences in web search and online advertising. Yet, most of the existing works f...
Zeyuan Allen Zhu, Weizhu Chen, Tom Minka, Chenguan...
WSDM
2010
ACM
172views Data Mining» more  WSDM 2010»
14 years 4 months ago
Early Online Identification of Attention Gathering Items In Social Media
Activity in social media such as blogs, micro-blogs, social networks, etc is manifested via interaction that involves text, images, links and other information items. Naturally, s...
Michael Mathioudakis, Nick Koudas, Peter Marbach
ICDM
2008
IEEE
135views Data Mining» more  ICDM 2008»
14 years 1 months ago
A Data Stream Mining System
On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining have not been researched, since they pose many difï¬...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 8 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
WWW
2010
ACM
14 years 2 months ago
Predicting positive and negative links in online social networks
We study online social networks in which relationships can be either positive (indicating relations such as friendship) or negative (indicating relations such as opposition or ant...
Jure Leskovec, Daniel P. Huttenlocher, Jon M. Klei...