In this paper we propose a novel recommender system which enhances user-based collaborative filtering by using a trust-based social network. Our main idea is to use infinitesimal ...
Facebook is one of the most popular Internet sites today. A key fea- ture that arguably contributed to Facebook's unprecedented success is its application platform, which enab...
Minas Gjoka, Michael Sirivianos, Athina Markopoulo...
Whilst mobile work is increasingly prevalent, there is little detailed study of this phenomenon in the specific context of a train. Thus, the current study focuses on how mobile w...
Within the area of criminal and terrorist social network analysis, there is little research being done on analysing the communication behavior of criminal and terrorist groups. In...
Mark Jyn-Huey Lim, Michael Negnevitsky, Jacky Hart...
We investigate services giving users an adequate insight on his or her energy consumption habits in order to optimize it in the long run. The explored energy awareness services are...