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From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data [article]

Bin Guo, Huihui Chen, Yan Liu, Chao Chen, Qi Han, Zhiwen Yu
2019 arXiv   pre-print
Therefore, a novel approach that leverages implicit human intelligence (implicit HI) for crowdsourced data mining and understanding is proposed.  ...  Two studies titled CrowdEvent and CrowdRoute are presented to showcase its usage, where implicit HIs are extracted either from online or offline crowdsourced data.  ...  (RS); TR←TR+{es}; RS=RS-{es}; end while From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data Bin Guo, Senior Member, Huihui Chen, Yan Liu  ... 
arXiv:1908.02412v1 fatcat:ma5a46biirfkzp53pfzy4ll3ti

Smart computing and cyber technology for cyberization

Xiaokang Zhou, Flavia C. Delicato, Kevin I-Kai Wang, Runhe Huang
2020 World wide web (Bussum)  
They would also like to express their heartfelt gratitude to the Editorsin-Chief, for giving us this opportunity, and the members of the Editorial Staff for their support during the process.  ...  Acknowledgments The guest editors would like to thank all the authors and the reviewers for their hard work and for making possible this Special Issue.  ...  Following the rapid development of mobile social networks, the paper "From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data" [24] discusses  ... 
doi:10.1007/s11280-019-00773-y fatcat:odaovo5s2jeu7poik5wr3cgrpi

A survey of the use of crowdsourcing in software engineering

Ke Mao, Licia Capra, Mark Harman, Yue Jia
2017 Journal of Systems and Software  
In this paper we provide a comprehensive survey of the use of crowdsourcing in software engineering, seeking to cover all literature on this topic.  ...  We first review the definitions of crowdsourcing and derive our definition of Crowdsourcing Software Engineering together with its taxonomy.  ...  Acknowledgments The authors would like to thank the many authors who contributed their valuable feedback in the 'pseudo-crowdsourced' checking process of this survey, and the anonymous referees for 1970  ... 
doi:10.1016/j.jss.2016.09.015 fatcat:somtsrt42jgsrevyikwnlsncja