Project #08
Title:
Crowdsourcing
Leader's
Name:
Eric Molin
Member1
Name:
Johan Storby
Member2
Name:
Kristofer Pitkäjärvi
Member3
Name:
Victor Dahlin
Related
paper: Zhou
Zhao, Furu Wei, Ming Zhou, Weikeng Chen, Wilfred Ng.
Crowd-Selection Query Processing in Crowdsourcing Databases: A
Task-Driven Approach. International Conference on Extending
Database Technology, Brussels, 23-27 March 2015.
Presentation
Day:
May 20
Model:
BS
Abstract:
In this project we will use crowdsourcing to ease the power of
CPU computation. Given a database with a lot of different
workers, specialized in different fields, the problem is to
know which worker is the best for the job. It is
crowd-selection’s task to find the most suited worker for your
problem. In this experiment we will investigate what method to
use for selecting the best worker and then evaluate the
result.
Because
of the relatively limited scope of this project, we will most
likely have to simulate different jobs and workers rather than
using actual machines, and jobs may need to be rigged in order
to take longer than necessary, or faked altogether. This is
since the main focus of the project is the crowdsourcing
functionality rather than completing a secondary task.
Alternatively some mundane or relatively useless tasks may be
chosen.