Hi,

Once you have executed the query the TopDocs collector gives you the maximum 
score. Then you just need to normalize on your own.

But keep in mind: This is not always a good idea, because the maximum score and 
the score of the first document does not mean to be useful to compare. E.g. if 
the first, top-ranking result is a very bad match and no better ones are there, 
there is not reason to say it's a 100% hit!

BTW: Lucene up to version 6 had some internal normalization in place, but this 
was removed in Lucene 7. The reason is simple: The scores are calculated just 
to compare them inside the same result set. They were never implemented to be 
used across different indexes or queries.

-----
Uwe Schindler
Achterdiek 19, D-28357 Bremen
http://www.thetaphi.de
eMail: u...@thetaphi.de

> -----Original Message-----
> From: Rifat [mailto:rifatozcan1...@gmail.com]
> Sent: Tuesday, June 27, 2017 11:46 AM
> To: java-user@lucene.apache.org
> Subject: Is it possible to normalise BM25 scores in the query level?
> 
> Hi all,
> 
> I searched for this a lot but could not find a clear answer, yet. is there a
> way such that Lucene (or Elasticsearch) provides query level normalization
> of BM25 scores. Because BM25 scores varies considerably across queries. For
> example, is it possible to get scores normalised by the max score for that
> query? Since lucene processes docs one at a time and return score for that
> document, at that moment, it seems not easy to do the normalisation.
> 
> thanks,
> rifat
> 
> 
> 
> 
> --
> View this message in context: http://lucene.472066.n3.nabble.com/Is-it-
> possible-to-normalise-BM25-scores-in-the-query-level-tp4342991.html
> Sent from the Lucene - Java Users mailing list archive at Nabble.com.
> 
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