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» Learning to Remove Internet Advertisements
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WWW
2007
ACM
14 years 9 months ago
Predicting clicks: estimating the click-through rate for new ads
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly a...
Matthew Richardson, Ewa Dominowska, Robert Ragno
ECRIME
2007
14 years 14 days ago
Examining the impact of website take-down on phishing
Banks and other organisations deal with fraudulent phishing websites by pressing hosting service providers to remove the sites from the Internet. Until they are removed, the fraud...
Tyler Moore, Richard Clayton
CSREAEEE
2008
128views Business» more  CSREAEEE 2008»
13 years 10 months ago
Public relations System for Mobile Learning
- In this paper, we proposed an automatic pushing system, whereby the users of mobile devices set their preferences on the Internet and receive `pushed' contents, which are a ...
Chul-Woo Kim, Misook Lim, Young-Min Chin
JAIR
2006
105views more  JAIR 2006»
13 years 8 months ago
Active Learning with Multiple Views
Active learners alleviate the burden of labeling large amounts of data by detecting and asking the user to label only the most informative examples in the domain. We focus here on...
Ion Muslea, Steven Minton, Craig A. Knoblock
MINENET
2005
ACM
14 years 2 months ago
Learning-based anomaly detection in BGP updates
Detecting anomalous BGP-route advertisements is crucial for improving the security and robustness of the Internet’s interdomain-routing system. In this paper, we propose an inst...
Jian Zhang, Jennifer Rexford, Joan Feigenbaum