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CrowdDQS: Dynamic Question Selection in Crowdsourcing Systems

Summary: Batch-posts all questions; last-moment assignment concentrates votes on uncertain items. Real-time accuracy estimates with/without gold questions, infers skill distributions; AMT deployment with 1000+ workers yields up to 6× fewer votes, with deployment challenges discussed. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5493
Venue
SIGMOD
Year
2017
Pagerank
5.093636e-05
Overall Rank
11,995 | 17.71%
DOI
10.1145/3035918.3064055

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BibTeX Citation

@inproceedings{khan_sigmod17,
        title = {{CrowdDQS: Dynamic Question Selection in Crowdsourcing Systems}},
        author = {Khan, Asif R. and Garcia-Molina, Hector},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3064055},
        url = {https://dl.acm.org/doi/10.1145/3035918.3064055},
        year = {2017}
}

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