Post It or Not: Viewership Based Posting of Crowdsourced Tasks


  • 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


coverage process, crowdsourced task scheduling, task viewership


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.




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). Retrieved from