Hello all,
I am wondering how many of you actually work with own scoring mechanism
(overwriting Lucenes standard scoring) and how many of you do work on how to
normalise this score.
I would like to add a second score on top of Lucenes TF/IDF score. The
resulting score is most likely higher then
Lucene just takes the highest score returned, and divides all scores
by this max_score. So max_score / max_score = 1.0, and voila.
On 11/5/05, Karl Koch <[EMAIL PROTECTED]> wrote:
> Hello all,
>
> I am wondering how many of you actually work with own scoring mechanism
> (overwriting Lucenes stand
if so the top score should always be 1.0. Isn't so.
Or does boosting multiple individual fields wreck that ?
sameer
On 11/6/05, Chris Lamprecht <[EMAIL PROTECTED]> wrote:
> Lucene just takes the highest score returned, and divides all scores
> by this max_score. So max_score / max_score = 1.0, an
> if so the top score should always be 1.0. Isn't so.
Perhaps you are right. Can you send some code that shows this,
preferably writen as a JUnit test and attached to a JIRA issues?
> Or does boosting multiple individual fields wreck that ?
I didn't think so, but I could be wrong.
Otis
> same
On 11/5/05, Sameer Shisodia <[EMAIL PROTECTED]> wrote:
> if so the top score should always be 1.0. Isn't so.
> Or does boosting multiple individual fields wreck that ?
> sameer
The top score is scaled back to 1.0 *only* if it's greater than 1.0
So hits with scores of 4.0,2.0 will be normalized to
che Nachricht ---
> Von: Ira Goldstein <[EMAIL PROTECTED]>
> An: "Karl Koch" <[EMAIL PROTECTED]>
> Betreff: Re: Question about scoring normalisation
> Datum: Sun, 06 Nov 2005 08:08:59 -0500
>
> Karl --
> Hi. I've been thinking about adding a pivoted norm
"Karl Koch" <[EMAIL PROTECTED]> writes:
> I am not sure if I know exactly what pivoted normalisation is. I can tell
> you what I do, in the meantime I will have a look to your paper and I hope
> that we can discuss this issue further.
Sort answer on pivoted document length normalization. You'll
