This paper describes IBCOW Image-based Classi cation of Objectionable Websites, a system capable of classifying a website as objectionable or benign based on image content. The sys...
James Ze Wang, Jia Li, Gio Wiederhold, Oscar Firsc...
Social media are becoming increasingly popular and have attracted considerable attention from spammers. Using a sample of more than ninety thousand known spam Web sites, we found ...
We propose a Web search site called "Cyclone", in which a user can retrieve encyclopedic term descriptions on the Web. Cyclone searches the Web for headwords and page fr...
In this paper, we identify and analyze structural properties which reflect the functionality of a Web site. These structural properties consider the size, the organization, the co...
In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...