Post It or Not: Viewership Based Posting of Crowdsourced Tasks

نویسندگان

  • Pallavi Manohar
  • Deepthi Chander
  • L. Elisa Celis
  • Koustuv Dasgupta
  • Sakyajit Bhattacharya
چکیده

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.

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تاریخ انتشار 2014