Adaptive Performance Optimization over Crowd Labor Channels

February 1, 2023

Authors

Saraschandra Karanam,Deepthi Chander,Elisa Celis,Koustuv Dasgupta,Vaibhav Rajan

Xerox Research Centre-India,Xerox Research Centre-India,Ecole Polytechnique Federale 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:

Download PDF

Abstract:

We describe a system which monitors the performance of labor channels within a crowdsourcing platform in an online manner. This allows us to automatically determine if and when to switch between labor channels in order to improve overall performance of crowd tasks.

DOI:

10.1609/hcomp.v2i1.13184

HCOMP

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

ISBN 978-1-57735-682-0

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