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Post It or Not: Viewership Based Posting of Crowdsourced Tasks

Authors

Pallavi Manohar,Deepthi Chander,Elisa Celis,Koustuv Dasgupta,Sakyajit Bhattacharya

Xerox Research Centre India,Xerox Research Centre India,Ecole Polytechnique Fédérale de Lausanne (EPFL),Xerox Research Centre India,Xerox Research Centre India


Published:

2014-11-05

Proceedings:

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2

Volume

Issue:

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

Track:

Works in Progress

Downloads:

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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.

DOI:

10.1609/hcomp.v2i1.13188


HCOMP

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


ISBN 978-1-57735-682-0