Generalized Supervised Meta-blocking
Summary: Generalized Supervised Meta-blocking extends schema-agnostic blocking with a probabilistic, classifier-based score from multiple co-occurrence features. It analyzes weighting and pruning choices to minimize training data size while preserving effective feature sets for pruning. (summarized by gpt-5-nano on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 319 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB | 0.00027781866 |
| 398 | Big Data Integration | 2013 | VLDB | 0.00024372588 |
| 2,514 | Comparative Analysis of Approximate Blocking Techniques for Entity Resolution | 2016 | VLDB | 8.6139012e-05 |
| 3,977 | BLAST: a Loosely Schema-aware Meta-blocking Approach for Entity Resolution | 2016 | VLDB | 6.5736268e-05 |
| 4,974 | Supervised Meta-blocking | 2014 | VLDB | 5.7903293e-05 |
| 4,989 | BEER: Blocking for Effective Entity Resolution | 2021 | SIGMOD | 5.7827362e-05 |
| 5,228 | Schema-agnostic vs Schema-based Configurations for Blocking Methods on Homogeneous Data | 2016 | VLDB | 5.6158315e-05 |
| 8,008 | Entity Resolution On-Demand | 2022 | VLDB | 4.6067684e-05 |
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