Post It or Not: Viewership Based Posting of Crowdsourced Tasks
Manohar, Pallavi (Xerox Research Centre India) | Chander, Deepthi (Xerox Research Centre India) | Celis, Elisa (Ecole Polytechnique Fédérale de Lausanne (EPFL)) | Dasgupta, Koustuv (Xerox Research Centre India) | Bhattacharya, Sakyajit (Xerox Research Centre India)
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.
Oct-31-2014