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
Authors
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,112 | Waldo: An Adaptive Human Interface for Crowd Entity Resolution | 2017 | SIGMOD | 6.4329055e-05 |
| 7,116 | Crowdsourced Data Management: Overview and Challenges | 2017 | SIGMOD | 4.8219732e-05 |
| 11,799 | CrowdDQS: Dynamic Question Selection in Crowdsourcing Systems | 2017 | SIGMOD | 4.1905499e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 266 | Human-powered Sorts and Joins | 2012 | VLDB | 0.00029884758 |
| 691 | Human-Assisted Graph Search: It’s Okay to Ask Questions | 2011 | VLDB | 0.00018068414 |
| 854 | So Who Won? Dynamic Max Discovery with the Crowd | 2012 | SIGMOD | 0.00015879917 |
| 863 | Leveraging Transitive Relations for Crowdsourced Joins | 2013 | SIGMOD | 0.00015793243 |
| 1,154 | CrowdScreen: Algorithms for Filtering Data with Humans | 2012 | SIGMOD | 0.00013616867 |
| 1,491 | CDAS: A Crowdsourcing Data Analytics System | 2012 | VLDB | 0.00011685731 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,648 | Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services | 2012 | VLDB | 6.01726e-05 |
| 9,449 | Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach | 2018 | SIGMOD | 4.3367172e-05 |
| 1,154 | CrowdScreen: Algorithms for Filtering Data with Humans | 2012 | SIGMOD | 0.00013616867 |
| 7,112 | Answering Planning Queries with the Crowd | 2013 | VLDB | 4.8227734e-05 |
| 5,744 | Efficient Algorithms for Crowd-Aided Categorization | 2020 | VLDB | 5.343155e-05 |
| 4,832 | An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems | 2013 | SIGMOD | 5.8883457e-05 |
| 11,910 | The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing | 2015 | SIGMOD | 4.1905499e-05 |
| 11,657 | Recommending Deployment Strategies in Crowdsourcing Platforms | 2019 | SIGMOD | 4.1905499e-05 |
| 11,597 | Recommending Deployment Strategies for Collaborative Tasks | 2020 | SIGMOD | 4.1905499e-05 |
| 854 | So Who Won? Dynamic Max Discovery with the Crowd | 2012 | SIGMOD | 0.00015879917 |