Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …

The Internet based cyber-physical world has profoundly changed the information
environment for the development of artificial intelligence (AI), bringing a new wave of AI …

Crowdsourcing is a computing paradigm where humans are actively involved in a
computing task, especially for tasks that are intrinsically easier for humans than for …

Taxi-calling apps are gaining increasing popularity for their efficiency in dispatching idle
taxis to passengers in need. To precisely balance the supply and the demand of taxis, online …

Recently, with the development of mobile Internet and smartphones, the online minimum
bipartite matching in real time spatial data (OMBM) problem becomes popular. Specifically …

Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …

Mobile crowdsourcing is an emerging crowdsourcing paradigm, which generates large-
scale sensing tasks and sensing data. One of the major issues in mobile crowdsourcing is …

Bipartite-matching markets pair agents on one side of a market with agents, items, or
contracts on the opposing side. Prior work addresses online bipartite-matching markets …

The popularity of Online To Offline (O2O) service platforms has spurred the need for online
task assignment in real-time spatial data, where streams of spatially distributed tasks and …

As firms gather increasing amounts of data, the question of how future marketers can use
these data to make their marketing more relevant and to make a strategic difference …