tDP: An Optimal-Latency Budget Allocation Strategy for Crowdsourced MAXIMUM Operations
Summary: tDP proposes an optimal-latency budget allocation for crowdsourced MAX operations, focusing on round-based question batches. A polynomial-time DP minimizes latency for tournaments; extends to arbitrary per-round layouts with optimality in worst/avg cases and yields MTurk gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,126 | Waldo: An Adaptive Human Interface for Crowd Entity Resolution | 2017 | SIGMOD | 6.4314729e-05 |
| 7,117 | Crowdsourced Data Management: Overview and Challenges | 2017 | SIGMOD | 4.826509e-05 |
| 11,791 | CrowdDQS: Dynamic Question Selection in Crowdsourcing Systems | 2017 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 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 |
| 866 | Leveraging Transitive Relations for Crowdsourced Joins | 2013 | SIGMOD | 0.00015801196 |
| 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 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,479 | Optimal Crowd-Powered Rating and Filtering Algorithms | 2014 | VLDB | 6.149053e-05 |
| 9,443 | Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach | 2018 | SIGMOD | 4.3408772e-05 |
| 1,164 | CrowdScreen: Algorithms for Filtering Data with Humans | 2012 | SIGMOD | 0.00013564823 |
| 7,113 | Answering Planning Queries with the Crowd | 2013 | VLDB | 4.8274062e-05 |
| 5,734 | Efficient Algorithms for Crowd-Aided Categorization | 2020 | VLDB | 5.3482904e-05 |
| 4,827 | An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems | 2013 | SIGMOD | 5.8938399e-05 |
| 11,902 | The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing | 2015 | SIGMOD | 4.1945683e-05 |
| 11,652 | Recommending Deployment Strategies in Crowdsourcing Platforms | 2019 | SIGMOD | 4.1945683e-05 |
| 11,593 | Recommending Deployment Strategies for Collaborative Tasks | 2020 | SIGMOD | 4.1945683e-05 |
| 859 | So Who Won? Dynamic Max Discovery with the Crowd | 2012 | SIGMOD | 0.00015870894 |