Spatial crowdsourcing involves assigning location-based tasks to mobile workers.
A new framework, Demand-based Adaptive Task Assignment with Dynamic Worker Availability Windows, is introduced to address the challenge of fluctuating demand and supply between tasks and workers over time.
The framework includes task demand prediction and task assignment components.
Experiments on real data show the effectiveness and efficiency of the proposed approach.