AAAI Publications, Second AAAI Conference on Human Computation and Crowdsourcing

Font Size: 
Post It or Not: Viewership Based Posting of Crowdsourced Tasks
Pallavi Manohar, Deepthi Chander, Elisa Celis, Koustuv Dasgupta, Sakyajit Bhattacharya

Last modified: 2014-09-05

Abstract


We propose an online scheduling algorithm for posting crowdsourcing tasks which maximizes a novel metric called task viewership. This metric is computed using stochastic model based on coverage process and it measures the likelihood that a task is viewed by multiple crowd workers, which is correlated to the likelihood that it will be selected and completed.

Keywords


coverage process, crowdsourced task scheduling, task viewership

References


Faridani, S.; Hartmann, B.; and Ipeirotis, P. 2011. Whats the

right price? pricing tasks for finishing on time. In

AAAI.

 

Hall, P. 1988.

Introduction to the Theory of Coverage Process.

John Wiley and Sons.

 

Manohar, P.; Ram, S.; and Manjunath, D. 2009. Path coverage by a sensor field :the non homogeneous case.

ACM Transactions On Sensor Networks (TOSN)

5(2).

 

Mao, A.; Kamar, E.; and Horvitz, E. 2013. Why stop now?

predicting worker engagement in online crowdsourcing. In

AAAI HCOMP

Rajan, V.; Bhattacharya, S.; Celis, E.; Chander, D.; Dasgupta, K.; and Karanam, S. 2013. Crowdcontrol: An online learning approach for optimal task scheduling in a dynamic crowd platform. In

ICML Workshop: Machine Learning

Meets Crowdsourcing

 

 

.


Full Text: PDF