We present TOURVIZ, a system that helps its users to interactively visualize and make sense in large network datasets. In particular, it takes as input a set of nodes the user spe...
Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Han...
In search engines, ranking algorithms measure the importance and relevance of documents mainly based on the contents and relationships between documents. User attributes are usual...
Abstract. This paper presents an architecture that enables the recognizer to learn incrementally and, thereby adapt to document image collections for performance improvement. We ar...
This paper introduces a new method for linking the world view of the search engine user community with that of the search engine itself. This new method is based on collecting and...
Einat Amitay, Adam Darlow, David Konopnicki, Uri W...
In this article we examine the integration of communities of practice supported by a wiki into work processes. Linear structures are often inappropriate for the execution of knowl...