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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)

Paper ID
4776
Venue
SIGMOD
Year
2013
Pagerank
6.3476753e-05
Overall Rank
5,143 | 64.72%
DOI
10.1145/2463676.2465307

Incoming Non-self Citations Over Time

Authors

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.

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