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Finish Them!: Pricing Algorithms for Human Computation

Summary: Dynamic pricing for human-computation tasks using Markov Decision Processes to adapt rewards over time. Optimizes deadline-constrained cost or budget-constrained latency, with up to 30% savings and speed-ups enabling on-the-fly deployment. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10893
Venue
VLDB
Year
2014
Pagerank
8.1197186e-05
Overall Rank
2,792 | 80.58%
DOI
-

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Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
94 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00051013264
119 Answering Queries using Humans, Algorithms and Databases 2011 CIDR 0.0004564788
263 CrowdER: Crowdsourcing Entity Resolution 2012 VLDB 0.00029862413
267 Human-powered Sorts and Joins 2012 VLDB 0.00029690405
697 Human-Assisted Graph Search: It’s Okay to Ask Questions 2011 VLDB 0.00018043655
859 So Who Won? Dynamic Max Discovery with the Crowd 2012 SIGMOD 0.00015870894
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
4,479 Optimal Crowd-Powered Rating and Filtering Algorithms 2014 VLDB 6.149053e-05
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