CROWDSOURCING WITH WORKER QUALITY CONTROL

MPhil Thesis Defence


Title: "CROWDSOURCING WITH WORKER QUALITY CONTROL"

By

Mr. Yimin LI


Abstract

As a new distributed computing model, crowdsourcing lets people leverage 
the crowds intelligence and wisdom toward solving problems. This thesis 
aim to characterizing various dimensions of worker quality control, which 
is a crucial component of crowdsourcing systems, typically occupying a 
large fraction of the time and money invested on crowdsourcing.

In this thesis, we implemente several state-of-the-art works related to 
worker error rate estimates in crowdsourcing using three large open 
datasets, by which we have a discussion about the efficiency and accuracy 
of different methods under various circumstances. Besides that, we propose 
to evaluate the crowd with confidence, which provides a confidence 
interval in addition to a simple numeric worker error rate and further 
leads to various potential applications.


Date:			Thursday, 26 November 2015

Time:			10:00am - 12:00noon

Venue:			Room 4621
 			Lifts 31/32

Committee Members:	Dr. Lei Chen (Supervisor)
 			Dr. Ke Yi (Chairperson)
 			Dr. Pan Hui


**** ALL are Welcome ****