Scholars, advertisers and political activists see massive online social networks as a representation of social interactions that can be used to study the propagation of ideas, soc...
Motivated by a problem of targeted advertising in social networks, we introduce and study a new model of online learning on labeled graphs where the graph is initially unknown and...
As a result of physically owning the client machine, cheaters in online games currently have the upper-hand when it comes to avoiding detection. To address this problem and turn t...
Edward C. Kaiser, Wu-chang Feng, Travis Schluessle...
Online social networks offer opportunities to analyze user behavior and social connectivity and leverage resulting insights for effective online advertising. We study the adopti...
Adversarial IR in general, and search engine spam, in particular, are engaging research topics with a real-world impact for Web users, advertisers and publishers. The AIRWeb works...
Carlos Castillo, Kumar Chellapilla, Dennis Fetterl...