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Editorial Team
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Editorial Team
Asked: May 14, 20262026-05-14T22:18:43+00:00 2026-05-14T22:18:43+00:00

I am working on address book synchronization algorithm. I would like to reuse some

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I am working on address book synchronization algorithm. I would like to reuse some code if there exists, but couldn’t find one yet.

Does someone know about an algorithm that will tell me in numbers/float/procent how much two names are identical. Levenstein distance is not good in this approach, as names and our adddress books are matching the begining of each of the name sections.

John Smith should match
Smith Jon, Jonathan Smith, Johnny Smith

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  1. Editorial Team
    Editorial Team
    2026-05-14T22:18:43+00:00Added an answer on May 14, 2026 at 10:18 pm

    Have a look at the Jaro Winkler algorithm too. It is good for names.
    http://en.wikipedia.org/wiki/Jaro%E2%80%93Winkler_distance

    If you have first name, last name issues then you could just sort them to make sure Smith John is saved as John Smith

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