Post It or Not: Viewership Based Posting of Crowdsourced Tasks

Authors

  • Pallavi Manohar Xerox Research Centre India
  • Deepthi Chander Xerox Research Centre India
  • Elisa Celis Ecole Polytechnique Fédérale de Lausanne (EPFL)
  • Koustuv Dasgupta Xerox Research Centre India
  • Sakyajit Bhattacharya Xerox Research Centre India

DOI:

https://doi.org/10.1609/hcomp.v2i1.13188

Keywords:

coverage process, crowdsourced task scheduling, task viewership

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.

Downloads

Published

2014-09-05

How to Cite

Manohar, P., Chander, D., Celis, E., Dasgupta, K., & Bhattacharya, S. (2014). Post It or Not: Viewership Based Posting of Crowdsourced Tasks. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2(1), 44-45. https://doi.org/10.1609/hcomp.v2i1.13188

Issue

Vol. 2 (2014): Second AAAI Conference on Human Computation and Crowdsourcing

Section

Works in Progress