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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
5431
Venue
SIGMOD
Year
2017
Pagerank
4.1945683e-05
Overall Rank
11,791 | 17.98%
DOI
10.1145/3035918.3064055

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