Crowdsourcing is a promising platform, whereby massive tasks are broadcasted to a crowd
of semi-skilled workers by the requester for reliable solutions. In this paper, we consider four …

Mobile crowdsourcing platforms often want to incentivize workers to finish tasks with high
quality and truthfully report their solutions by providing proper rewards. Most existing …

Crowdsourcing has become an efficient paradigm to utilize human intelligence to perform
tasks that are challenging for machines. Many incentive mechanisms for crowdsourcing …

Over the last five years, Web-based crowdsourcing platforms have become available for
providing programmatic access to populations of workers with diverse capabilities …

We study a crowdsourcing problem, where a platform aims to incentivize distributed workers
to provide high-quality and truthful solutions that are not verifiable. We focus on a largely …

Incentive mechanism design and quality control are two key challenges in data
crowdsourcing, because of the need for recruitment of crowd users and their limited …

Macrotasking crowdsourcing systems like Elance and Fiverr serve as efficient platforms for
requesters to outsource challenging and innovative tasks that require special skills to …

Quality control plays a critical role in crowdsourcing. The state-of-the-art work is not suitable
for crowdsourcing applications that require extensive validation of the tasks quality, since it …

Mobile crowdsourcing has become an efficient paradigm for performing large scale tasks.
The incentive mechanism is important for the mobile crowdsourcing system to stimulate …

In crowdsourcing systems, the interests of contributing participants and system stakeholders
are often not fully aligned. Participants seek to learn, be entertained, and perform easy tasks …