CrowdER: Crowdsourcing Entity Resolution
Summary: CrowdER uses a machine-driven coarse pass to prune candidate pairs, saving human effort. Minimizing verification batches is NP-hard; a two-tiered batched-heuristic yields efficient, accurate results, demonstrated on real datasets via crowdsourcing. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiannan Wang (Tsinghua University; University of California Berkeley)
- 2. Tim Kraska (University of California Berkeley)
- 3. Michael J. Franklin (University of California Berkeley)
- 4. Jianhua Feng (Tsinghua University)
BibTeX Citation
@article{wang_vldb12,
title = {{CrowdER: Crowdsourcing Entity Resolution}},
author = {Wang, Jiannan and Kraska, Tim and Franklin, Michael J. and Feng, Jianhua},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {11},
pages = {1483--1494},
doi = {10.14778/2350229.2350252},
url = {https://doi.org/10.14778/2350229.2350252},
year = {2012}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 71 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 92 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD | 0.00034670735 |
| 244 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB | 0.00023307564 |
| 257 | Crowdsourced Databases: Query Processing with People | 2011 | CIDR | 0.00022958404 |
| 266 | Human-powered Sorts and Joins | 2012 | VLDB | 0.00022735106 |
| 534 | On Active Learning of Record Matching Packages | 2010 | SIGMOD | 0.00016799 |
| 888 | Pay-as-you-go User Feedback for Dataspace Systems | 2008 | SIGMOD | 0.00013250185 |
| 1,852 | CrowdDB: Query Processing with the VLDB Crowd | 2011 | VLDB | 9.4992704e-05 |
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