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...
There are significant barriers to academic research into user Web search preferences. Academic researchers are unable to manipulate the results shown by a major search engine to ...
Timothy Jones, David Hawking, Ramesh S. Sankaranar...
Current business conditions have given rise to distributed teams that are mostly collocated except for one remote member. These “hub-and-satellite” teams face the challenge of...
Gina Venolia, John C. Tang, Ruy Cervantes, Sara Bl...
Relations between users on social media sites often reflect a mixture of positive (friendly) and negative (antagonistic) interactions. In contrast to the bulk of research on soci...
Jure Leskovec, Daniel P. Huttenlocher, Jon M. Klei...
Software developers use testing to gain and maintain confidence in the correctness of a software system. Automated reduction and prioritization techniques attempt to decrease the...