FairEM360: A Suite for Responsible Entity Matching
Summary: FairEM360: end-to-end suite to audit, explain, and remediate fairness in entity matching across multiple fairness metrics and paradigms. Provides human-in-the-loop explanations and ensemble matchers to diagnose and correct data- or matcher-induced biases pre-deployment. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Nima Shahbazi (University of Illinois Chicago)
- 2. Mahdi Erfanian (University of Illinois Chicago)
- 3. Abolfazl Asudeh (University of Illinois Chicago)
- 4. Fatemeh Nargesian (University of Rochester)
- 5. Divesh Srivastava (AT&T)
BibTeX Citation
@article{shahbazi_vldb24,
title = {{FairEM360: A Suite for Responsible Entity Matching}},
author = {Shahbazi, Nima and Erfanian, Mahdi and Asudeh, Abolfazl and Nargesian, Fatemeh and Srivastava, Divesh},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4417--4420},
doi = {10.14778/3685800.3685889},
url = {https://doi.org/10.14778/3685800.3685889},
year = {2024}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 141 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.0002964847 |
| 176 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00027191081 |
| 529 | Magellan: Toward Building Entity Matching Management Systems | 2016 | VLDB | 0.00017096361 |
| 5,489 | Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching | 2023 | VLDB | 6.200289e-05 |
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