We propose an agent for exploring and categorizing documents on the World Wide Web based on a user pro le. The heart of the agent is an automatic categorization of a set of docume...
Eui-Hong Han, Daniel Boley, Maria L. Gini, Robert ...
Banner ads persist on the Internet in spite of evidence against their efficacy. Many ads include animation in an attempt to increase their attentional capture. An experiment was c...
Moira Burke, Nicholas Gorman, Erik Nilsen, Anthony...
Given a large volume of Web documents, we consider problem of finding the shortest keyword sequences for each of the documents such that a keyword sequence can be rendered to a g...
Abstract. This paper presents an approach to semi-automate photo annotation. Instead of using content-recognition techniques this approach leverages context information available a...
The rapid growth of the web has been noted and tracked extensively. Recent studies have however documented the dual phenomenon: web pages have small half lives, and thus the web e...
Ziv Bar-Yossef, Andrei Z. Broder, Ravi Kumar, Andr...