Waldo: An Adaptive Human Interface for Crowd Entity Resolution
Summary: Waldo presents an adaptive hybrid UI for crowd-based ER, merging two common human-task interfaces. Formalizes the human-task selection problem, offers optimality-guaranteed algorithms, and reports 50–300% crowd-cost reductions versus baselines. (summarized by gpt-5-nano on Feb 09 2026)
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 319 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB | 0.00027781866 |
| 3,935 | CrowdQ: Crowdsourced Query Understanding | 2013 | CIDR | 6.6163464e-05 |
| 5,798 | Exploiting Context Analysis for Combining Multiple Entity Resolution Systems | 2009 | SIGMOD | 5.3231654e-05 |
| 11,731 | A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors | 2018 | VLDB | 4.1945683e-05 |
| 7,668 | Human-in-the-loop Data Integration | 2017 | VLDB | 4.6834075e-05 |
| 8,585 | Robust Entity Resolution using Random Graphs | 2018 | SIGMOD | 4.4905755e-05 |
| 5,362 | Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach | 2016 | SIGMOD | 5.5473503e-05 |
| 1,242 | Question Selection for Crowd Entity Resolution | 2013 | VLDB | 0.00013096655 |
| 1,841 | Crowdsourcing Algorithms for Entity Resolution | 2014 | VLDB | 0.00010348858 |
| 263 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB | 0.00029862413 |