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, a distributed human problem-solving paradigm is an active research area
which has attracted significant attention in the fields of computer science, business, and …

Educational platforms are increasingly becoming AI-driven. Besides providing a wide range
of course filtering options, personalized recommendations of learning material and teachers …

Existing studies on task recommendation in crowdsourcing systems provide additional
insights into the field from their perspectives, methodologies, frameworks, and disciplines …

The implementation of blended learning in higher educational institutions is increasing due
to its perceived effectiveness in affording the benefits of both face-to-face traditional mode …

With the increase of mobile devices, Mobile Crowdsensing (MCS) has become an efficient
way to ubiquitously sense and collect environment data. Comparing to traditional sensor …

As mobile phones advance in functionality and capability, they are increasingly being used
as instruments for personal monitoring. Applications are being developed that take …

Many popular applications, such as collaborative document editing, sentence translation, or
citizen science, resort to collaborative crowdsourcing, a special form of human-based …

Software crowdsourcing is an emerging and promising software development model. It is
based on the characteristics of Internet community intelligence, which makes it have certain …

We study task composition in crowdsourcing and the effect of personalization and diversity
on performance. A central process in crowdsourcing is task assignment, the mechanism …