I\'m currently working on implementing a fuzzy search for a terminology web service and I\'m looking for suggestions on how I might improve the current implementation. It\'s too much code to share, bu
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I\'m working on some stuff for an in-house CRM. The company\'s current frontend allows for lots of duplicates. I\'m trying to stop end-users from putting in the same person because they searched for \
I need to filter stream of text articles by checking every entry for fuzzy matches of predefined string(I am searching for misspelled product names, sometime they have dif开发者_Python百科ferent order
If my index contains three boolean fields: a, b and c... I would like to search for: \"a=True, 开发者_如何学Gob=False, c=True\" and SOLR should return all entries, and their score should represent how
In TextMate there is a feature called \"Go to file\" that is used for file navigation.It is a box where you type the name of a file in your project and it will use fuzzy matching to generate a list of
This question already has answers here: 开发者_StackOverflow A better similarity ranking algorithm for variable length strings
In the Lucene query syntax I\'d like to combine * and ~ in a valid query similar to: bla~* //invalid query
I\'m trying to do a fuzzy match on the Phrase \"Grand Prarie\" (deliberately misspel开发者_JAVA百科led) using Apache Lucene. Part of my issue is that the ~ operator only does fuzzy matches on single w
In my work I have with great results used approximate string matching algorithms such as Damerau–Levenshtein distance to make my code less vulnerable to spelling mistakes.
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