iCrowd: An Adaptive Crowdsourcing Framework
Summary: iCrowd adapts crowdsourcing via online, task-specific accuracy estimation and assigns tasks to the best-matching online worker. Post-submission updates refine accuracies for better future allocations; MTurk experiments show higher quality than qualification-based baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ju Fan (National University of Singapore)
- 2. Guoliang Li (Tsinghua University)
- 3. Beng Chin Ooi (National University of Singapore)
- 4. Kian-lee Tan (National University of Singapore)
- 5. Jianhua Feng (Tsinghua University)
BibTeX Citation
@inproceedings{fan_sigmod15,
title = {{iCrowd: An Adaptive Crowdsourcing Framework}},
author = {Fan, Ju and Li, Guoliang and Ooi, Beng Chin and Tan, Kian-lee and Feng, Jianhua},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2750550},
url = {https://dl.acm.org/doi/10.1145/2723372.2750550},
year = {2015}
}
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