A search technique that finds matches that are likely to be relevant, even if they are not exact matches, often used to handle misspellings or variations in query terms.
Fuzzy search uses algorithms to find results that are similar to the search query, allowing for variations and misspellings. This approach increases recall by retrieving items that are close matches to the query terms.
Fuzzy search algorithms often use edit distance metrics, such as Levenshtein distance, to measure the similarity between query terms and document terms. They allow for a specified number of edits (insertions, deletions, substitutions) to find approximate matches.
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