Abstract
Crowdsourcing based applications are starting to gain traction in industrial environments. Crowdsourcing research has proven that it is possible to get good quality labels at the fraction of the cost and time. However, implementing such applications at large scale requires new infrastructure. In this demo we present a system that allows the automation of crowdsourcing tasks for information retrieval experiments.
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CITATION STYLE
Kandylas, V., Alonso, O., Choksey, S., Rudre, K., & Jaiswal, P. (2013). Automating Crowdsourcing Tasks in an Industrial Environment. In Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013 (pp. 95–96). AAAI Press. https://doi.org/10.1609/hcomp.v1i1.13056
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