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 ? ) > > > > -- > +++ GMX - die erste Adresse f�r Mail, Message, More +++ > Bis 31.1.: TopMail + Digicam f�r nur 29 EUR http://www.gmx.net/topmail > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [EMAIL PROTECTED] > For additional commands, e-mail: [EMAIL PROTECTED] > -- +++ GMX - die erste Adresse f�r Mail, Message, More +++ Bis 31.1.: TopMail + Digicam f�r nur 29 EUR http://www.gmx.net/topmail --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
