With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large
groups of individuals toward solving problems. Common problems approached with …

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 …

Matching is a classic problem with a rich history and a significant impact, both on the theory
of algorithms and in practice. Recently there has been a surge of interest in the online …

Quality improvement methods are essential to gathering high-quality crowdsourced data,
both for research and industry applications. A popular and broadly applicable method is task …

This survey provides a comprehensive overview of the landscape of crowdsourcing
research, targeted at the machine learning community. We begin with an overview of the …

Crowdsourcing information systems are socio-technical systems that provide informational
products or services by harnessing the diverse potential of large groups of people via the …

Crowdsourcing markets have gained popularity as a tool for inexpensively collecting data
from diverse populations of workers. Classification tasks, in which workers provide labels …

Every day millions of crowdsourcing tasks are performed in exchange for payments. Despite
the important role pricing plays in crowdsourcing campaigns and the complexity of the …