Pricing Models for Crowdsourcing Tasks Based on Geographic Information
Yuxin Niu, Yingtao Zhang, Mingyang Song · 2018
With the popularity of smart phones and mobile Internet services, crowdsourcing has become a popular business model by which the tasks are published at some crowdsourcing platforms, while the registered members can download the tasks and earn money after finishing the tasks in a distributive manner. This kind of self-service labor crowdsourcing platforms based on mobile Internet provides enterprises with various business inspections and information collection services. During the entire process, how to determine the prices for different tasks is one of key issues of crowdsourcing business. In this paper, we propose three pricing models for crowdsourcing based on geographical information, and then take the Chinese MCM problem B of 2017 as a case study, to give an evaluation on the reasonability and the effectiveness of the proposed pricing models for crowdsourced photography.