This paper presents the design and development of an adaptive planning system using the technology of Web services. The Web-based adaptive planning system consists of two modules t...
Grigorios Tsoumakas, Dimitris Vrakas, Nick Bassili...
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
The University of Delaware has a powerful legacy SIS system. The University plans to replace this system in 2004-05. In the meantime, we have populated WebCT rosters using custom ...
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
With over 800 million pages covering most areas of human endeavor, the World-wide Web is a fertile ground for data mining research to make a di erence to the e ectiveness of infor...