Mobile crowd sensing (MCS) is the special case of crowdsourcing, which leverages the
smartphones with various embedded sensors and user's mobility to sense diverse …

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 …

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 …

Any important data management and analytics tasks cannot be completely addressed by
automated processes. These tasks, such as entity resolution, sentiment analysis, and image …

With the rapid development of smartphones, spatial crowdsourcing platforms are getting
popular. A foundational research of spatial crowdsourcing is to allocate micro-tasks to …

Mobile crowdsensing (MCS) is an emerging paradigm that leverages pervasive smart
terminals equipped with various embedded sensors to collect sensory data for wide …

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 …

With the rapid development of mobile devices and crowdsourcing platforms, the spatial
crowdsourcing has attracted much attention from the database community. Specifically, the …

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 …

With the popularity of mobile devices, spatial crowdsourcing is rising as a new framework
that enables human workers to solve tasks in the physical world. With spatial crowdsourcing …