thanks Karl !

----- Original Message ----- 
From: "Karl Koch" <[EMAIL PROTECTED]>
To: "Lucene Users List" <[EMAIL PROTECTED]>
Sent: Sunday, January 18, 2004 9:22 PM
Subject: Re: theorical informations


> Actually, finding an answer to this question is not really important. More
> important is if you can do what you want with it. If you result comes from
a
> prob. model or a vector space model, who cares if you just want to give a
> query and back a hit list of results?
>
> Possibliy some people here will strongly disagree... ;-) (?)
>
> Karl
>
> > Hello Nicolas,
> >
> > I am sure you mean IR (Information Retrieval) Model. Lucene implements a
> > Vector Space Model with integrated Boolean Model. This means the Boolean
> > model
> > is integrated with a Boolean query language but mapped into the Vector
> > Space.
> > Therefore you have ranking even though the traditional Boolean model
does
> > not
> > support this. Cosine similarity is used to measure similarity between
> > documents and the query. You can find this in a very long dicussion here
> > when you
> > search the archive...
> >
> > Karl
> >
> > > hy ,
> > > i have 2  theorycal questions :
> > >
> > > i searched in the mailing list the R.I. model implemented in Lucene ,
> > > but no precise answer.
> > >
> > > 1) What is the R.I model implemented in Lucene ? (ex: Boolean Model,
> > > Vector Model,Probabilist Model, etc... )
> > >
> > > 2) What is the theory Similarity function  implemented in Lucene
> > > (Euclidian, Cosine, Jaccard, Dice)
> > >
> > > (why this important informations is not in the Lucene Web site or in
the
> >
> > > faq ? )
> > >
> >
> > -- 
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