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From "Dario Dentale" <dario.dent...@portalis.it>
Subject Re: Search for similar terms
Date Fri, 30 May 2003 17:05:21 GMT
Thanks, for the answer.

I was searching for a solution not based on a dictionary, but on the list of
terms (with relative frequency) contained in the Lucene index.

In this way (I think) I can obtain more significant results,
I can use this method on multiple languages (without relative dictionary and
without know which laguage is used in the query string)
and especially on out-of-dictionary terms (i.e.: in a e-commerce site you
can find "Nikon coolpix" that are not in a dictionary).

I was searching for some algorithm that can calculate the similarity
coefficient between two terms and multiplying it
to the frequency in the indexed documents can obtain a score.

Do you think that this is a wrong way?

Regards,
Dario

----- Original Message ----- 
From: <David_Birthwell@VWR.COM>
To: "Lucene Users List" <lucene-user@jakarta.apache.org>
Sent: Friday, May 30, 2003 3:51 PM
Subject: Re: Search for similar terms


>
> Perform the lucene search.  If you get no or few hits, send the query term
> to a spell checker, like ispell.  Echo the alternative spelling(s) to the
> user.
>
> DaveB
>
>
>
>
>
>                       "Dario Dentale"
>                       <dario.dentale@po        To:
<lucene-user@jakarta.apache.org>
>                       rtalis.it>               cc:
>                                                Subject:  Search for
similar terms
>                       05/30/03 05:15 AM
>                       Please respond to
>                       "Lucene Users
>                       List"
>
>
>
>
>
>
> Hi,
> anybody knows which is the best way to implements in Lucene a fuctionality
> (that Google has) like this:
>
> Search text-> notebok
>
> Answer-> Did you mean: notebook ?
>
> Thanks,
> Dario
>
>
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>
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