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...
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...
Huge amounts of search and browse log data has been accumulated in various search engines. Such massive search/browse log data, on the one hand, provides great opportunities to mi...
This paper presents an approach for categorizing documents according to their implicit locational relevance. We report a thorough evaluation of several classifiers designed for th...
This paper reports the highlights of a user study which gauges reactions to a variety of common “trust indicators” – such as logos, third party endorsements, and padlock icon...
Markus Jakobsson, Alex Tsow, Ankur Shah, Eli Blevi...