Fuzzy Search
Fuzzy search is a technique for finding approximate matches to a query string, rather than requiring exact matches. It is commonly used in search engines, databases, and user interfaces to handle typos, misspellings, or partial inputs by calculating similarity scores between strings. This approach improves user experience by returning relevant results even when queries are imprecise.
Developers should learn fuzzy search when building applications that involve user-generated search queries, such as e-commerce sites, content management systems, or data analysis tools, to enhance usability and reduce frustration from exact-match requirements. It is particularly useful in scenarios like autocomplete features, spell-checking, or matching names with variations, where tolerance for errors or incomplete data is necessary.