An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems
Summary: Online cost-aware framework for crowdsourcing estimates marginal profit in real time and terminates questions when future profit is non-positive. Introduces linear and generalized nonlinear profit models, enables batch HIT publication, and outperforms state-of-the-art on MTurk tasks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jinyang Gao (National University of Singapore)
- 2. Xuan Liu (National University of Singapore)
- 3. Beng Chin Ooi (National University of Singapore)
- 4. Haixun Wang (Microsoft)
- 5. Gang Chen (Zhejiang University)
BibTeX Citation
@inproceedings{gao_sigmod13,
title = {{An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems}},
author = {Gao, Jinyang and Liu, Xuan and Ooi, Beng Chin and Wang, Haixun and Chen, Gang},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2465307},
url = {https://dl.acm.org/doi/10.1145/2463676.2465307},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,281 | Cleaning Crowdsourced Labels Using Oracles for Statistical Classification | 2019 | VLDB | 7.5706653e-05 |
| 3,904 | QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications | 2015 | SIGMOD | 7.0304212e-05 |
| 7,989 | Where To: Crowd-Aided Path Selection | 2014 | VLDB | 5.5111036e-05 |
| 10,032 | gMission: A General Spatial Crowdsourcing Platform | 2014 | VLDB | 5.1741314e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 90 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD | 0.00034951786 |
| 196 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB | 0.00025780596 |
| 250 | Answering Queries using Humans, Algorithms and Databases | 2011 | CIDR | 0.00023261164 |
| 251 | Crowdsourced Databases: Query Processing with People | 2011 | CIDR | 0.00023261113 |
| 743 | So Who Won? Dynamic Max Discovery with the Crowd | 2012 | SIGMOD | 0.00014421358 |
| 767 | Human-Assisted Graph Search: It’s Okay to Ask Questions | 2011 | VLDB | 0.00014208622 |
| 997 | CrowdScreen: Algorithms for Filtering Data with Humans | 2012 | SIGMOD | 0.00012755983 |
| 1,270 | CDAS: A Crowdsourcing Data Analytics System | 2012 | VLDB | 0.00011388453 |
| 1,810 | CrowdDB: Query Processing with the VLDB Crowd | 2011 | VLDB | 9.7021022e-05 |
| 2,165 | Demonstration of Qurk: A Query Processor for Human Operators | 2011 | SIGMOD | 9.0507521e-05 |
| 7,630 | Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion | 2012 | VLDB | 5.5783186e-05 |
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| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,912 | A Rating-Ranking Method for Crowdsourced Top-k Computation | 2018 | SIGMOD |
| 2 | 11,570 | Decentralized Crowdsourcing for Human Intelligence Tasks with Efficient On-Chain Cost | 2022 | VLDB |
| 3 | 3,231 | Truth Inference in Crowdsourcing: Is the Problem Solved? | 2017 | VLDB |
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| 6 | 3,914 | Optimal Crowd-Powered Rating and Filtering Algorithms | 2014 | VLDB |
| 7 | 2,626 | Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning | 2015 | VLDB |
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