Fuzzy Matching
A matching technique that permits a certain tolerance, such as differences in amounts or dates. It is typically implemented using edit distance or rule-based thresholds and is used to handle inexact correspondences.
Timeline (last 90 days)
In the reconciliation step, deterministic matching and fuzzy matching should be performed first to clear most items, leaving only the remaining difficult items to the model.
Exact matching is fast but prone to missing cases where the same person uses different contact information, while fuzzy matching has broader coverage but higher computational cost.
All Facts (2)
In the reconciliation step, deterministic matching and fuzzy matching should be performed first to clear most items, leaving only the remaining difficult items to the model.
50%UnverifiedExact matching is fast but prone to missing cases where the same person uses different contact information, while fuzzy matching has broader coverage but higher computational cost.
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