Crowdsourced Top-k Algorithms: An Experimental Evaluation
Summary: Compares crowdsourced top-k algorithms under a unified experimental framework across synthetic and real data. Focus on result quality and efficiency on real crowdsourcing platforms; reveals when DB heuristics vs ML methods excel and provides algorithm selection guidelines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiaohang Zhang
- 2. Guoliang Li
- 3. Jianhua Feng
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,944 | Truth Inference in Crowdsourcing: Is the Problem Solved? | 2017 | VLDB | 7.8457167e-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 |
| 5,254 | CDB: A Crowd-Powered Database System | 2018 | VLDB | 5.5991922e-05 |
| 7,116 | Crowdsourced Data Management: Overview and Challenges | 2017 | SIGMOD | 4.8219732e-05 |
| 8,978 | Satisfying Complex Top-k Fairness Constraints by Preference Substitutions | 2023 | VLDB | 4.4144821e-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 |
| 11,824 | DOCS: Domain-Aware Crowdsourcing System | 2017 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 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 |
| 854 | So Who Won? Dynamic Max Discovery with the Crowd | 2012 | SIGMOD | 0.00015879917 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,805 | Top-k Query Evaluation with Probabilistic Guarantees | 2004 | VLDB | 0.00010479371 |
| 2,944 | Truth Inference in Crowdsourcing: Is the Problem Solved? | 2017 | VLDB | 7.8457167e-05 |
| 5,744 | Efficient Algorithms for Crowd-Aided Categorization | 2020 | VLDB | 5.343155e-05 |
| 94 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD | 0.00051273089 |
| 8,067 | An Experimental Evaluation of Task Assignment in Spatial Crowdsourcing | 2018 | VLDB | 4.5896179e-05 |
| 11,910 | The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing | 2015 | SIGMOD | 4.1905499e-05 |
| 5,029 | Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments | 2017 | SIGMOD | 5.7447454e-05 |
| 11,818 | A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing | 2017 | VLDB | 4.1905499e-05 |
| 4,922 | Top-k Sorting Under Partial Order Information | 2018 | SIGMOD | 5.8226327e-05 |
| 11,713 | A Rating-Ranking Method for Crowdsourced Top-k Computation | 2018 | SIGMOD | 4.1905499e-05 |