AAAI Publications, Second AAAI Conference on Human Computation and Crowdsourcing

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Adaptive Performance Optimization over Crowd Labor Channels
Saraschandra Karanam, Deepthi Chander, Elisa Laura Celis, Koustuv Dasgupta, Vaibhav Rajan

Last modified: 2014-09-05

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.

Keywords


Optimization; Adaptive; Performance; Labor Channels; Crowdsourcing

References


Dasgupta, K.; Rajan, V.; Karanam, S.; Ponnavaikko, K.; Balamurugan, C.; and Piratla, N. M. 2013. Crowdutility: know the crowd that works for you. In CHI’13 Extended Abstracts on Human Factors in Computing Systems, 145–150. ACM.


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Khazankin, R.; Schall, D.; and Dustdar, S. 2012. Predicting qos in scheduled crowdsourcing. In Advanced Information Systems Engineering, 460–472. Springer.

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Rajan, V.; Bhattacharya, S.; Celis, L. E.; Chander, D.; Dasgupta, K.; and Karanam, S. 2012. Crowdcontrol: An online learning approach for optimal task scheduling in a dynamic crowd platform.


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