Although general crowdsourcing has been studied decades in the database community, there are still some detailed topics that we cannot handle well, such as task latency control, plagiarists detection, and training data preparation. This theme focuses on these topics to refine a real platform running on WeChat platform.
The architecture of the FROG crowdsourcing system.
Search and add the official account of “众测平台” on WeChat to contribute on the micro-tasks and redeem your verified points to CNY through redpockets.
Publications
Latency-Oriented Task Completion via Spatial Crowdsourcing
Yuxiang Zeng, Yongxin Tong, Lei Chen, Zimu Zhou
ICDE 2018FROG: A Fast and Reliable Crowdsourcing Framework
Peng Cheng, Xiang Lian, Xun Jian, and Lei Chen
TKDE 2018DLTA: A Framework for Dynamic Crowdsourcing Classification Tasks
Libin Zheng and Lei Chen
TKDE 2018Effective Solution for Labeling Candidates with a Proper Ration for Efficient Crowdsourcing
Zhao Chen, Peng Cheng, Chen Zhang, and Lei Chen
DASFAA 2018Realtime Traffic Speed Estimation with Sparse Crowdsourced Data
Liu Zheng, Lei Chen, and Yongxin Tong
ICDE 2018Worker Recommendation for Crowdsourced Q&A Services: A Triple-Factor Aware Approach
Liu Zheng and Lei Chen
VLDB 2018Tuning crowdsourced human computation
Chen Cao, Jiayang Tu, Zheng Liu, Lei Chen, and HV Jagadish
ICDE 2017