Crowd-Based Deduplication: An Adaptive Approach
Summary: ACD adapts correlation clustering to crowd-based deduplication, with techniques to speed crowd work and postprocess for higher accuracy. MTurk experiments show higher precision than state-of-the-art with moderate crowdsourcing overhead. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sibo Wang
- 2. Xiaokui Xiao
- 3. Chun-Hee Lee
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,796 | CDB: Optimizing Queries with Crowd-Based Selections and Joins | 2017 | SIGMOD | 4.1905499e-05 |
| 4,414 | CrowdMatcher: Crowd-Assisted Schema Matching | 2014 | SIGMOD | 6.1975384e-05 |
| 265 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB | 0.00029904018 |
| 6,047 | MDedup: Duplicate Detection with Matching Dependencies | 2020 | VLDB | 5.2355891e-05 |
| 279 | Eliminating Fuzzy Duplicates in Data Warehouses | 2002 | VLDB | 0.00029141798 |
| 906 | Fusing Data with Correlations | 2014 | SIGMOD | 0.00015420344 |
| 3,366 | Modeling and Querying Possible Repairs in Duplicate Detection | 2009 | VLDB | 7.1671634e-05 |
| 942 | Framework for Evaluating Clustering Algorithms in Duplicate Detection | 2009 | VLDB | 0.00015143877 |
| 3,526 | Distributed Data Deduplication | 2016 | VLDB | 7.0056559e-05 |
| 2,385 | Leveraging Aggregate Constraints For Deduplication | 2007 | SIGMOD | 8.9167648e-05 |