A survey on pricing mechanisms of crowdsourcing

PhD Qualifying Examination


Title: "A survey on pricing mechanisms of crowdsourcing"

by

Mr. Zhao CHEN


Abstract:

Crowdsourcing has showed various popular applications in the industry and 
attracted great attention from academia. Along with the blossom of machine 
learning and data science, crowdsourcing is now a necessary computing paradigm 
in many fields that require huge data labeling work, such as knowledge 
acquisition, natural language processing, image recognition, and data cleaning. 
Quality control, latency control, and incentive design are the three major 
parts in a crowdsourcing process. While recently monetary incentive design, 
i.e. how to set prices of different tasks and for different workers, has become 
a more and more hot topic due to the continuously increasing of crowdsourcing 
market scale. There are several different kinds of techniques for pricing 
mechanism design, such as worker estimation based methods and additional bonus 
methods. In this survey, we first give a general overview of different 
crowdsourcing related research topics, and then clarify the relationship 
between other research and incentive design. We summarize state-of-the-art 
pricing mechanism design techniques for crowdsourcing and compare the pros and 
cons of them. Finally, we show some future possible research issues in this 
area.


Date:			Wednesday, 11 January 2017

Time:                  	1:00pm - 3:00pm

Venue:                  Room 3494
                         Lifts 25/26

Committee Members:	Prof. Lei Chen (Supervisor)
 			Dr. Qiong Luo (Chairperson)
 			Dr. Xiaojuan Ma
 			Dr. Yangqiu Song


**** ALL are Welcome ****