QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications
Summary: QASCA is a quality-aware online task assignment system for crowdsourcing on AMT. It models probabilistic ground truths from worker answers to optimize Accuracy and F-score, delivering linear-time assignment and achieving about 8% quality gains across five real applications. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yudian Zheng (University of Hong Kong)
- 2. Jiannan Wang (University of California Berkeley)
- 3. Guoliang Li (Tsinghua University)
- 4. Reynold Cheng (University of Hong Kong)
- 5. Jianhua Feng (Tsinghua University)
BibTeX Citation
@inproceedings{zheng_sigmod15,
title = {{QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications}},
author = {Zheng, Yudian and Wang, Jiannan and Li, Guoliang and Cheng, Reynold and Feng, Jianhua},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2749430},
url = {https://dl.acm.org/doi/10.1145/2723372.2749430},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 17 of 17 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,626 | Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning | 2015 | VLDB |
| 2 | 7,417 | An Experimental Evaluation of Task Assignment in Spatial Crowdsourcing | 2018 | VLDB |
| 3 | 8,351 | Minimizing Efforts in Validating Crowd Answers | 2015 | SIGMOD |
| 4 | 933 | Question Selection for Crowd Entity Resolution | 2013 | VLDB |
| 5 | 11,956 | Worker Recommendation for Crowdsourced Q&A Services: A Triple-Factor Aware Approach | 2018 | VLDB |
| 6 | 7,665 | Towards Globally Optimal Crowdsourcing Quality Management: The Uniform Worker Setting | 2016 | SIGMOD |
| 7 | 5,143 | An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems | 2013 | SIGMOD |
| 8 | 1,270 | CDAS: A Crowdsourcing Data Analytics System | 2012 | VLDB |
| 9 | 3,262 | iCrowd: An Adaptive Crowdsourcing Framework | 2015 | SIGMOD |
| 10 | 11,995 | CrowdDQS: Dynamic Question Selection in Crowdsourcing Systems | 2017 | SIGMOD |