[Objective] This study tries to address the classic issues facing crowd participant identification tasks. [Methods] We proposed a recursive heuristic method to reduce the attributes, aiming to establish a new crowd participant identification system based on their abilities. Then, we built a model to locate crowd participants with the help of random forests algorithm and the proposed system. [Results] Our new method reduced the data dimension to 8 from 18, which yielded better recognition rates. [Limitations] The proposed model is simple and needs to be expanded. Data of this study was retrieved from crowdsourcing contest websites, which might have data integrity issues. [Conclusions] The modified machine learning method could help us effectively identify crowdsourcing participants.
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