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From: "Allan, Brad (Bracknell)" <Brad.Allan@Fiserv.com>
To: "lucene-net-user@lucene.apache.org" <lucene-net-user@lucene.apache.org>
Subject: Getting fuzzy match information
Thread-Topic: Getting fuzzy match information
Thread-Index: Ac73R8E4Zoz/y58HQdWEqoJL/ZgQlQ==
Date: Thu, 12 Dec 2013 16:22:59 +0000
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Has anyone done or know of work done that would help me to get detailed inf=
ormation about my hits with regard to fuzzy matches? Also very happy to rec=
eive suggestions :).

I'm looking to obtain the similarity percentage of each token in the each h=
it.

Example: fuzzy query looks something like this:
(name:80% similar to "john" or name:80% similar to "henry" or name:80% simi=
lar to "smith")
And I get hits:

*         Jon George Smythe

*         John Joe Henry

*         Smith John & Carter engineering
All valid hits, however my users want to be able to view the similarity and=
 indeed prioritise certain actions by being able to compare the results of =
2 different searches (and therefore normalised scores are not as useful as =
knowing the actual similarity information).

Clearly this sort of ability does not make sense when one is searching in l=
arge amounts of data (documents), but in my case I'm searching through a se=
t of names and some additional person information.

Options could be to post process the hits and use/lift the FuzzyTermEnum lo=
gic to re-compute the similarity value. Or perhaps extend the FuzzyQuery to=
 register a 'listener' to receive the information?
Other ideas? Thoughts?


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