Jumping in at this point and not having read other responses, I think the function that Vangelis is looking for is coord method in Similarity - that's for document terms/query terms overlap, I believe.
Otis ----- Original Message ---- From: Mark Miller <[EMAIL PROTECTED]> To: java-user@lucene.apache.org Sent: Thursday, January 18, 2007 5:36:21 PM Subject: Re: custom similarity based on tf but greater than 1.0 I just did the same thing. If you search the list you'll find the thread where Hoss gave me the info you need. It really comes down to makeing a FakeNormsIndexReader. The problem you are having is a result of the field size normalization. - mark Vagelis Kotsonis wrote: > Hi all. > I am trying to make some experiments in an algorithm that scores results by > counting how many words of the query submited are in a document. > > For example if i enter the query > > A B D A > > The similarities I want to get for the documents follows: > > A A C F D (2-found A and D) > A B D S S A (3 - found A, B and D) > D D D (1 - only found D) > > I built a Similarity that actually sets everything's price as 1.0f except tf > > The tf functions returns 1.0f if freq>0 and 0.0f else. > > I think that this change does count what I want, but when it comes to show > the score, all are normalized. So, the greater similarity is equal to 1.0f > and the others are lower than 1.0f > > How can I "deactivate" the score normalization? > > Thank you! > > I want to > --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED] --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
