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Evaluating Entity Resolution Results

Summary: Analyzes existing ER measures; shows they can rank results inconsistently across algorithms. Introduces generalized merge distance (GMD), an edit-distance style ER measure with configurable split/merge costs; unifies VI as a special case and makes F1 computable from GMD; provides a linear-time algorithm for broad cost classes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10078
Venue
VLDB
Year
2010
Pagerank
7.4367336e-05
Overall Rank
3,177 | 77.93%
DOI
-

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Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
67 The Merge/Purge Problem for Large Databases 1995 SIGMOD 0.00061419648
228 Reference Reconciliation in Complex Information Spaces 2005 SIGMOD 0.00032266415
279 Eliminating Fuzzy Duplicates in Data Warehouses 2002 VLDB 0.00029141798
942 Framework for Evaluating Clustering Algorithms in Duplicate Detection 2009 VLDB 0.00015143877
1,408 Entity Resolution with Iterative Blocking 2009 SIGMOD 0.00012162791
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