Data-driven Crowdsourcing via Online Social Users

PhD Thesis Proposal Defence


Title: "Data-driven Crowdsourcing via Online Social Users"

by

Mr. Chen CAO


Abstract:

Human computation is a long-existing concept and has been practiced for 
centuries. Specifically, whenever a “human” serves to “compute”, human 
computation is observed. This leads to a history of Human Computation even 
longer than that of electronic computer. Now with the development of Internet 
web service, the workforce of human computation is broadened to a vast pool of 
crowds, instead of designated exerts or employees. This type of outsourcing to 
crowds, a.k.a. crowdsourcing, ushers in the new computation paradigm of 
Crowdsourced Human Computation.

In this proposal, we demonstrate the power of Crowdsourced Human Computation on 
data-driven applications. We introduce the application on data filtering, 
ranking, joining and other operators. Moreover, we show that most of these 
applications can be decomposed into binary decision making tasks for human 
workforce. Then we illustrate the majority voting over the decision making as 
crowdsourced answer aggregator and discuss its properties. There are three 
major challenges to establish high-performance crowdsourcing applications; 
therefore we present corresponding techniques as follows:

Quality: Jury-selection problem to solve "Whom to Ask" challenge to improve 
answer quality under majority voting;

Cost: WiseMarket as a new crowdsourcing paradigm to conduct payment with less 
cost and higher quality;

Latency: Model of tasks completion time and tuning strategies to accelerate 
task completion.

In the end, we show future research direction and propose the targeted work to 
finalize the theoretical and technical foundation.


Date:			Wednesday, 7 May 2014

Time:                   4:00pm - 6:00pm

Venue:                  Room 3501
                         lifts 25/26

Committee Members:	Dr. Lei Chen (Supervisor)
 			Dr. Raymond Wong (Chairperson)
 			Dr. Pan Hui
 			Dr. Qiong Luo


**** ALL are Welcome ****