Re: Combining scores

2006-11-21 Thread José Ramón Pérez Agüera
Spain Dept. de Ingeniería del Software e Inteligencia Artificial Despacho 411 tlf. 913947599 Facultad de Informática Universidad Complutense de Madrid - Mensaje original - De: Luis Rodrigo Aguado <[EMAIL PROTECTED]> Fecha: Martes, Noviembre 21, 2006 12:39 pm Asunto: Combining scores A

Combining scores

2006-11-21 Thread Luis Rodrigo Aguado
Hi all, I am working in a project that, for each query from the user, builds four or five different queries and tries to combine the results. The first part is already working, but, as I have read that the scores from different queries are not comparable at all among them, I am a bit stuck in

Re: Combining scores

2006-11-21 Thread Erick Erickson
This is a *really* simplistic approach, but why not just submit all 4 or 5 queries at once ina BooleanQuery and let Lucene do all the work for you? Or are the 4 or 5 queries such that they don't combine easily with MUST, MUST_NOT or SHOULD in a BooleanQuery? Best Erick On 11/21/06, Luis Rodrigo

Re: About Combining Scores

2005-11-13 Thread Karl Koch
Marius Kirsch <[EMAIL PROTECTED]> > An: java-user@lucene.apache.org > Betreff: Re: About Combining Scores > Datum: Sun, 13 Nov 2005 10:10:22 +0100 > > On Sun, Nov 13, 2005 at 12:04:41AM +0100, Karl Koch wrote: > > My aim is to combine this two scores. The Lucenes score i

Re: About Combining Scores

2005-11-13 Thread Sebastian Marius Kirsch
On Sun, Nov 13, 2005 at 12:04:41AM +0100, Karl Koch wrote: > My aim is to combine this two scores. The Lucenes score is normalisied > between 0.0 and 1.0 (if the score exceeded 1.0 at some point) or less then > 1.0 (if it did not). The user model looks the same in this perspective - > although base

About Combining Scores

2005-11-12 Thread Karl Koch
Hello Lucene experts, I am working on a perhaps interesting problem. I am using Lucene as an IR engine that allows users to search for documents. Additioanlly I use a user model that produces a second score. This second score represents a different aspect of document relevance based on data from a