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Fuzzy Matching

/ˈfʌzi ˈmætʃɪŋ/noun
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Fuzzy matching is a computational technique that identifies approximate similarities between strings or data sets, rather than requiring an exact match, making it ideal for handling typos, variations, or incomplete information. In modern applications, it's essential for improving search accuracy in everything from e-commerce recommendations to AI-driven chatbots, where precision in the face of human error can enhance user experience without overwhelming complexity.

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