Feb 12, 2021 · In the framework, we first select a group of workers as the pioneers and allocate the new task categories for them to collect initial knowledge.

A well-designed task recommendation framework aims to protect the data quality as well as increase the task execution results.

A well-designed task recommendation framework aims to protect the data quality as well as increase the task execution results. However, current crowdsourcing ...

Jul 14, 2022 · The system assigns tasks to workers with the platform's interests as the primary goal, ignoring the interest of workers and their willingness to ...

A well-designed task recommendation framework aims to protect the data quality as well as increase the task execution results. However, current crowdsourcing ...

Jan 1, 2022 · This paper proposes a task recommendation model based on the prediction of workers' mobile trajectories. A recurrent neural network is used to ...

Jul 14, 2022 · Finally, we conduct experiments on two real datasets, Foursquare and AMT (Amazon Mechanical Turk), to verify the effectiveness of the proposed ...

Mobile crowdsourcing enables mobile requesters to publish tasks, which can be accom- plished by workers with awards. However, existing task allocation ...

Chen, A unified task recommendation strategy for realistic mobile crowdsourcing system, Theoret. ... He, et al., A novel task recommendation model for mobile ...

We evaluate the performance of the worker preference learning and the task recommendation on real data. The experimental setup is presented in Section 5.1, ...