Comments on: Analyzing Match Scores in ‘fuzzy searches’ – explaining the shades of gray in a non-binary world http://technology.amis.nl/2008/09/20/analyzing-match-scores-in-fuzzy-searches-explaining-the-shades-of-gray-in-a-non-binary-world/?utm_source=rss&utm_medium=rss&utm_campaign=analyzing-match-scores-in-fuzzy-searches-explaining-the-shades-of-gray-in-a-non-binary-world Friends of Oracle and Java Sun, 31 Aug 2014 06:57:42 +0000 hourly 1 http://wordpress.org/?v=3.9.2 By: Lucas Jellema http://technology.amis.nl/2008/09/20/analyzing-match-scores-in-fuzzy-searches-explaining-the-shades-of-gray-in-a-non-binary-world/#comment-5464 Sun, 21 Sep 2008 08:32:45 +0000 http://technology.amis.nl/blog/?p=3405#comment-5464 Hi Edwin, yes, the idea is very much similar to what Oracle Text does for you. What I have never been able to figure out is what the meaning is of the absolute SCORE value with Text (it seems that in order to qualify at all as a record you have to have at least a score and then all records with scores can be ranked on the score to find better and lesser matches. How much better a match is compared to a difference in score has always escaped me. But my idea is very similar – with other operators and comparisons than just what Text is doing.

Lucas

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By: Edwin Biemond http://technology.amis.nl/2008/09/20/analyzing-match-scores-in-fuzzy-searches-explaining-the-shades-of-gray-in-a-non-binary-world/#comment-5463 Sun, 21 Sep 2008 06:02:58 +0000 http://technology.amis.nl/blog/?p=3405#comment-5463 Lucas , Can you compare your solution with Text indexes ( ctxsys.context ) who can also calculate the score for you

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