Blocking On Amazon Google
Metrics
Candidate Set Size
Recall
Results
Performance results of various models on this benchmark
Model Name | Candidate Set Size | Recall | Paper Title | Repository |
|---|---|---|---|---|
| Sparkly k=50 | 165900 | 99.2 | Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching | |
| Auto | 68200 | 97.1 | Deep learning for blocking in entity matching: a design space exploration | |
| SC-Block | 11000 | 99.6 | SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines | |
| Sudowoodo | 48390 | 97.3 | Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation | |
| Sparkly k=10 | 33300 | 96.8 | Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching | |
| BM25 | 40000 | 98.7 | SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines |
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