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 |
|---|---|---|---|---|
| 3,308 | Cleaning Crowdsourced Labels Using Oracles for Statistical Classification | 2019 | VLDB | 7.4379101e-05 |
| 3,840 | QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications | 2015 | SIGMOD | 6.988858e-05 |
| 8,144 | Where To: Crowd-Aided Path Selection | 2014 | VLDB | 5.3898812e-05 |
| 10,227 | gMission: A General Spatial Crowdsourcing Platform | 2014 | VLDB | 5.0556452e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 92 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD | 0.00034670735 |
| 198 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB | 0.00025546182 |
| 257 | Crowdsourced Databases: Query Processing with People | 2011 | CIDR | 0.00022958404 |
| 259 | Answering Queries using Humans, Algorithms and Databases | 2011 | CIDR | 0.00022916014 |
| 750 | So Who Won? Dynamic Max Discovery with the Crowd | 2012 | SIGMOD | 0.00014258988 |
| 787 | Human-Assisted Graph Search: It’s Okay to Ask Questions | 2011 | VLDB | 0.00013982951 |
| 987 | CrowdScreen: Algorithms for Filtering Data with Humans | 2012 | SIGMOD | 0.00012655094 |
| 1,265 | CDAS: A Crowdsourcing Data Analytics System | 2012 | VLDB | 0.00011277921 |
| 1,852 | CrowdDB: Query Processing with the VLDB Crowd | 2011 | VLDB | 9.4992704e-05 |
| 2,194 | Demonstration of Qurk: A Query Processor for Human Operators | 2011 | SIGMOD | 8.8780295e-05 |
| 7,789 | Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion | 2012 | VLDB | 5.4509595e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,218 | A Rating-Ranking Method for Crowdsourced Top-k Computation | 2018 | SIGMOD |
| 2 | 11,885 | Decentralized Crowdsourcing for Human Intelligence Tasks with Efficient On-Chain Cost | 2022 | VLDB |
| 3 | 3,173 | Truth Inference in Crowdsourcing: Is the Problem Solved? | 2017 | VLDB |
| 4 | 987 | CrowdScreen: Algorithms for Filtering Data with Humans | 2012 | SIGMOD |
| 5 | 1,265 | CDAS: A Crowdsourcing Data Analytics System | 2012 | VLDB |
| 6 | 3,839 | Optimal Crowd-Powered Rating and Filtering Algorithms | 2014 | VLDB |
| 7 | 2,643 | Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning | 2015 | VLDB |
| 8 | 12,400 | The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing | 2015 | SIGMOD |
| 9 | 8,524 | Minimizing Efforts in Validating Crowd Answers | 2015 | SIGMOD |
| 10 | 5,572 | Efficient Algorithms for Crowd-Aided Categorization | 2020 | VLDB |