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)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 263 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB | 0.00029862413 |
| 267 | Human-powered Sorts and Joins | 2012 | VLDB | 0.00029690405 |
| 1,164 | CrowdScreen: Algorithms for Filtering Data with Humans | 2012 | SIGMOD | 0.00013564823 |
| 1,491 | CDAS: A Crowdsourcing Data Analytics System | 2012 | VLDB | 0.00011694982 |
| 1,841 | Crowdsourcing Algorithms for Entity Resolution | 2014 | VLDB | 0.00010348858 |
| 3,263 | QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications | 2015 | SIGMOD | 7.3097573e-05 |
| 3,322 | iCrowd: An Adaptive Crowdsourcing Framework | 2015 | SIGMOD | 7.2230626e-05 |
| 4,651 | Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services | 2012 | VLDB | 6.022931e-05 |
| 9,867 | tDP: An Optimal-Latency Budget Allocation Strategy for Crowdsourced MAXIMUM Operations | 2015 | SIGMOD | 4.2675549e-05 |
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