Adaptive Performance Optimization over Crowd Labor Channels

Authors

  • Saraschandra Karanam Xerox Research Centre-India
  • Deepthi Chander Xerox Research Centre-India
  • Elisa Celis Ecole Polytechnique Federale de Lausanne (EPFL)
  • Koustuv Dasgupta Xerox Research Centre-India
  • Vaibhav Rajan Xerox Research Centre-India

DOI:

https://doi.org/10.1609/hcomp.v2i1.13184

Keywords:

Optimization, Adaptive, Performance, Labor Channels, Crowdsourcing

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.

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Published

2014-09-05

How to Cite

Karanam, S., Chander, D., Celis, E., Dasgupta, K., & Rajan, V. (2014). Adaptive Performance Optimization over Crowd Labor Channels. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2(1), 30-31. https://doi.org/10.1609/hcomp.v2i1.13184

Issue

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

Section

Works in Progress