We seek to gain improved insight into how Web search engines should cope with the evolving Web, in an attempt to provide users with the most up-to-date results possible. For this ...
Alexandros Ntoulas, Junghoo Cho, Christopher Olsto...
In this paper we introduce the architecture of a distributed service platform that integrates speech, web technology and voice-overIP technologies and describe how a specific serv...
Michael Pucher, Julia Tertyshnaya, Florian Wegsche...
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
This paper introduces a tool known as the Haptic Drum Kit, which employs four computer-controlled vibrotactile devices, one attached to each wrist and ankle. In the applications d...
Simon Holland, Anders J. Bouwer, Mathew Dalgelish,...