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BEER: Blocking for Effective Entity Resolution

Summary: BEER proposes progressive blocking for ER, using a feedback loop from ER output to refine candidate pruning. End-to-end, data-driven BEER provides visualization and explanations to compare blocking choices across cluster sizes, with no manual tuning. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6029
Venue
SIGMOD
Year
2021
Pagerank
5.7827362e-05
Overall Rank
4,989 | 65.30%
DOI
10.1145/3448016.3452747

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