Adaptive Performance Optimization over Crowd Labor Channels


  • 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


Optimization, Adaptive, Performance, Labor Channels, Crowdsourcing


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.




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). Retrieved from