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...
Commercial search engines, especially meta-search engines was designed to retrieve the information by submitting users' queries to multiple conventional search engines and in...
Tasks recognizing named entities such as products, people names, or locations from documents have recently received significant attention in the literature. Many solutions to thes...
The original SenseMaker interface for information exploration [2] used tables to present heterogeneous document descriptions. In contrast, printed bibliographies and World Wide We...
Our goal is to use the vast repositories of available open source code to generate specific functions or classes that meet a user’s specifications. The key words here are spec...