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Fuzzy search allows you to find words that are not spelled correctly. IDOL Server finds words that are spelled similarly to the search term. To run a fuzzy search, you use the
DREFUZZY query operator in the Text parameter, followed by the search term in parentheses. For example:
IDOL Server does not create extra index terms for fuzzy searches, so it does not increase the index size. However, fuzzy searches require a lot of extra processing, so they are slower than normal queries.
The fuzzy algorithm uses a proprietary model to match correct documents even when spelling mistakes occurred in the query Text. It determines the closest matching words by analysis of common errors such as:
the transposition of two letters.
the use of incorrect vowels.
pressing an adjacent key on the keyboard.
For example, a common error is putting one letter when it is supposed to be a double letter.
WEDING is a closer match to
WELDING, even though in both cases legacy algorithms marked them all as one step apart.
Similarly, vowel errors are more common than consonants.
BERMINGHAM is more likely to mean
BERLINGHAM, whereas legacy algorithms treat both as equally likely.
By default, the algorithm applies a dynamic threshold designed to give the most intuitive determination of whether a term matches or not. You can also give the operator an explicit distance to arrive at more controllable results.