Blocking On Abt Buy
Metrics
Candidate Set Size
Recall
Results
Performance results of various models on this benchmark
Model Name | Candidate Set Size | Recall | Paper Title | Repository |
|---|---|---|---|---|
| Sudowoodo | 3276 | 88.6 | Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation | - |
| Sparkly k=50 | 54500 | 99.2 | Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching | |
| BM25 | 8000 | 94.7 | SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines | - |
| Sparkly k=10 | 10900 | 98.1 | Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching | |
| SC-Block | 5000 | 99.5 | SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines | - |
| Auto | 21600 | 87.2 | Deep learning for blocking in entity matching: a design space exploration |
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