Urban computing is an emerging area of investigation in which researchers study cities
using digital data. Location-Based Social Networks (LBSNs) generate one specific type of …

Automating Vision explores the rise of seeing machines through four case studies: facial
recognition, drone vision, mobile and locative media and driverless cars. Proposing a …

Disaster damage assessment (DDA) has emerged as an important application in disaster
response and management, which aims to assess the damage severity of an affected area …

Location-based social networks such as Swarm provide a rich source of information on
human behaviour and urban functions. Our analysis of data created by users who voluntarily …

Event recommendation has become an important issue in event-based social networks
(EBSN). In this paper, we study how to exploit diverse relations in an EBSN as well as …

Understanding the social and behavioral forces behind event participation is not only
interesting from the viewpoint of social science, but also has important applications in the …

The rise of smart phone use, and its convergence with mapping infrastructures and large
search and social media corporations, has led to a commensurate rise in the importance of …

With the fast development of many event-based social networks (EBSNs), event
recommendation, which is to recommend a list of upcoming events to a user according to his …

We study the effectiveness of different types of mobile recommendations and their impact on
consumers' utility and product demand, using a privacy-preserving econometric analysis …

The widespread adoption of smartphones—putting both the Internet and sensorrich
hardware into the pockets of millions—is finally bridging the gap between the online and …