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From Wyatt Barnett <wyatt.barn...@gmail.com>
Subject Re: how can I get the similarity in fuzzy query
Date Wed, 16 Feb 2011 21:08:12 GMT
If you are running in VS 2010, I'd advise saving yourself some trouble
and just grabbing the 2.9.2 package off nuget.

On Wed, Feb 16, 2011 at 3:13 PM, Wen Gao <samuel.gaowen@gmail.com> wrote:
> Thanks you.
>
> Wen
> 2011/2/16 Digy <digydigy@gmail.com>
>
>> Download the source from
>> https://svn.apache.org/repos/asf/incubator/lucene.net/tags/Lucene.Net_2_9_2
>> using a svn client(like TortoiseSVN), and open the project file with
>> VS20XX.
>>
>> DIGY
>>
>> -----Original Message-----
>> From: Wen Gao [mailto:samuel.gaowen@gmail.com]
>> Sent: Wednesday, February 16, 2011 9:58 PM
>> To: lucene-net-dev@lucene.apache.org
>> Subject: Re: how can I get the similarity in fuzzy query
>>
>>  OK. i get it. how can I recompile a Lucene_src on Windows?
>>
>> Thanks.
>> Wen
>> 2011/2/16 Christopher Currens <currens.chris@gmail.com>
>>
>> > As far as i know, you'll need to calculate that manually.  FuzzyQuery
>> > searches don't return any results like that.
>> >
>> > On Wed, Feb 16, 2011 at 11:47 AM, Wen Gao <samuel.gaowen@gmail.com>
>> wrote:
>> >
>> > > Hi,
>> > > I think my situation is just to compare the similarity of strings: I
>> want
>> > > to
>> > > calculate the similarity between the typed results and the returned
>> > results
>> > > using *FuzzyQuery*. I have set the minimumSimilarity of FuzzyQuery as
>> > 0.5f,
>> > > what i want to do is get the "similariy" instead of "score" for every
>> > > result
>> > > that returns.
>> > >
>> > > Thanks for your time.
>> > >
>> > > Wen
>> > >
>> > > 2011/2/16 Christopher Currens <currens.chris@gmail.com>
>> > >
>> > > > I was going to post the link that Digy posted, which suggests not
to
>> > > > determine a match that way.  If my understanding is correct, the
>> scores
>> > > > returned for a query are relative to which documents were retrieved
>> by
>> > > the
>> > > > search, in that if a document is deleted from the index, the scores
>> > will
>> > > > change even though the query did not, because the number of returned
>> > > > documents are different.
>> > > >
>> > > > If the only thing you wanted to do was to calculate how a resulting
>> > > string
>> > > > was to a search string, I suggest the Levenshtein Distance algorithm
>> > > > http://en.wikipedia.org/wiki/Levenshtein_distance...but it doesn't
>> > seem
>> > > > like
>> > > > that's quite what you want to accomplish based on your question.
>> > > >
>> > > > Christopher
>> > > >
>> > > > On Wed, Feb 16, 2011 at 10:55 AM, Wen Gao <samuel.gaowen@gmail.com>
>> > > wrote:
>> > > >
>> > > > > Hi,
>> > > > > I am using FuzzyQuery to get fuzzy mathed results. I want to
get
>> the
>> > > > > similarity in percent for every matched record.
>> > > > > for example, if i search for "databasd", and it will return results
>> > > such
>> > > > as
>> > > > > "database", "database1", and "database11". I want to get the
>> > similarity
>> > > > in
>> > > > > percent for evey record, such as 87.5%, 75%, and 62.5%.
>> > > > >
>> > > > > How can I do this?
>> > > > >
>> > > > > Any ideas?
>> > > > >
>> > > > > Wen Gao
>> > > > >
>> > > >
>> > >
>> >
>>
>>
>

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