Levenshtein Distance
An algorithm for measuring the difference between two strings by calculating the minimum number of single-character edit operations required to transform one string into the other. It serves as a similarity metric and is commonly applied in fuzzy matching scenarios.
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Edit distance (Levenshtein Distance) measures the minimum number of insertion, deletion, and substitution operations required to convert the recognition result into the standard answer
There are two technical strategies for deduplication: exact matching (relying on unique identifiers such as email or phone number) and fuzzy matching (using edit distance or phonetic similarity algorithms for approximate comparison).
All Facts (2)
Edit distance (Levenshtein Distance) measures the minimum number of insertion, deletion, and substitution operations required to convert the recognition result into the standard answer
50%UnverifiedThere are two technical strategies for deduplication: exact matching (relying on unique identifiers such as email or phone number) and fuzzy matching (using edit distance or phonetic similarity algorithms for approximate comparison).
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