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 presents λI , a language for dynamic tracking of information flow across multiple, interdependent dimensions of information. Typical dimensions of interest are integr...
The fast development of the Web provides new ways for effective distribution of network-based digital goods. A digital marketplace provides a platform to enable Web users to effec...
This paper describes an advanced system for multilingual text classification adaptable to different user needs. The system has been initially developed as an applied research proje...
Fabio Ciravegna, Alberto Lavelli, Nadia Mana, Joha...
Abstract. The search for train connections in state-of-the-art commercial timetable information systems is based on a static schedule. Unfortunately, public transportation systems ...