Crowdsourcing Analytics with CrowdCur
Summary: CrowdCur enables crowdsourcing analytics for admins, requesters, and workers via worker curation and completion-based task curation. OLAP-style analytics by worker or task type; admins tune, requesters compare platforms, workers locate tasks. (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 |
|---|---|---|---|---|
| 1,849 | Combining User Interaction, Speculative Query Execution and Sampling in the DICE System | 2014 | VLDB | 0.00010331082 |
| 9,864 | Human Factors in Crowdsourcing | 2016 | VLDB | 4.2634671e-05 |
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| 3,324 | iCrowd: An Adaptive Crowdsourcing Framework | 2015 | SIGMOD | 7.2163115e-05 |
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| 8,510 | Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace | 2017 | VLDB | 4.4904732e-05 |
| 11,875 | Collaborative Crowdsourcing with Crowd4U | 2016 | VLDB | 4.1905499e-05 |