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So Who Won? Dynamic Max Discovery with the Crowd

Summary: Dynamic max discovery in a crowdsourcing DB relies on human pairwise judgments under latency and cost. Optimal max selection and extra-vote gathering are NP-hard; the paper offers heuristics for max-finding and vote acquisition with experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4540
Venue
SIGMOD
Year
2012
Pagerank
0.00015879917
Overall Rank
854 | 94.07%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 35 of 35 citing papers.

Rank Citing Paper Year Venue Pagerank
641 Corleone: Hands-Off Crowdsourcing for Entity Matching 2014 SIGMOD 0.00018759417
863 Leveraging Transitive Relations for Crowdsourced Joins 2013 SIGMOD 0.00015793243
2,176 Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017 SIGMOD 9.3729351e-05
2,255 Counting with the Crowd 2013 VLDB 9.1846281e-05
2,796 Finish Them!: Pricing Algorithms for Human Computation 2014 VLDB 8.1119959e-05
2,944 Truth Inference in Crowdsourcing: Is the Problem Solved? 2017 VLDB 7.8457167e-05
3,268 QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications 2015 SIGMOD 7.3027561e-05
3,324 iCrowd: An Adaptive Crowdsourcing Framework 2015 SIGMOD 7.2163115e-05
3,803 Revisiting Prompt Engineering via Declarative Crowdsourcing 2024 CIDR 6.7498941e-05
4,181 Arnold: Declarative Crowd-Machine Data Integration 2013 CIDR 6.3725128e-05
4,483 Optimal Crowd-Powered Rating and Filtering Algorithms 2014 VLDB 6.1431599e-05
4,580 Crowdsourced Top-k Algorithms: An Experimental Evaluation 2016 VLDB 6.0646299e-05
4,617 Crowd-Based Deduplication: An Adaptive Approach 2015 SIGMOD 6.0400801e-05
4,832 An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems 2013 SIGMOD 5.8883457e-05
4,922 Top-k Sorting Under Partial Order Information 2018 SIGMOD 5.8226327e-05
5,029 Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments 2017 SIGMOD 5.7447454e-05
5,369 Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach 2016 SIGMOD 5.5436995e-05
7,025 Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets 2015 VLDB 4.8530001e-05
7,112 Answering Planning Queries with the Crowd 2013 VLDB 4.8227734e-05
7,116 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 4.8219732e-05
7,224 OASSIS: Query Driven Crowd Mining 2014 SIGMOD 4.791302e-05
7,534 Interactive Graph Search 2019 SIGMOD 4.7133212e-05
7,667 Human-in-the-loop Data Integration 2017 VLDB 4.6791871e-05
8,062 Where To: Crowd-Aided Path Selection 2014 VLDB 4.5902135e-05
8,510 Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace 2017 VLDB 4.4904732e-05
9,678 Interactive Graph Search for Multiple Targets on DAGs 2025 VLDB 4.3006524e-05
9,683 Hierarchical Entity Resolution using an Oracle 2022 SIGMOD 4.3006524e-05
9,684 How to Design Robust Algorithms using Noisy Comparison Oracle 2021 VLDB 4.3006524e-05
9,865 Skyline Queries with Noisy Comparisons 2015 PODS 4.2634671e-05
9,866 tDP: An Optimal-Latency Budget Allocation Strategy for Crowdsourced MAXIMUM Operations 2015 SIGMOD 4.2634671e-05
9,867 gMission: A General Spatial Crowdsourcing Platform 2014 VLDB 4.2634671e-05
10,927 k-Clustering with Comparison and Distance Oracles 2024 PODS 4.1905499e-05
11,713 A Rating-Ranking Method for Crowdsourced Top-k Computation 2018 SIGMOD 4.1905499e-05
11,796 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 4.1905499e-05
11,910 The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing 2015 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 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 0.00051273089
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
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