You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@lucene.apache.org by "Adrien Grand (JIRA)" <ji...@apache.org> on 2017/12/01 14:37:01 UTC
[jira] [Updated] (LUCENE-8072) Improve accuracy of similarity
scores
[ https://issues.apache.org/jira/browse/LUCENE-8072?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Adrien Grand updated LUCENE-8072:
---------------------------------
Description:
I noticed two things we could do to improve the accuracy of our scores:
- use {{Math.log1p(x)}} instead of {{Math.log(1+x)}}, especially when x is expected to be small
- use doubles for intermediate values that are used to compute norms in BM25Similarity
was:
I noticed two things we could do to improve the accuracy of our scores:
- use Math.log1p(x) instead of Math.log(1+x), especially when x is expected to be small
- use doubles for intermediate values that are used to compute norms in BM25Similarity
> Improve accuracy of similarity scores
> -------------------------------------
>
> Key: LUCENE-8072
> URL: https://issues.apache.org/jira/browse/LUCENE-8072
> Project: Lucene - Core
> Issue Type: Task
> Reporter: Adrien Grand
> Priority: Minor
>
> I noticed two things we could do to improve the accuracy of our scores:
> - use {{Math.log1p(x)}} instead of {{Math.log(1+x)}}, especially when x is expected to be small
> - use doubles for intermediate values that are used to compute norms in BM25Similarity
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscribe@lucene.apache.org
For additional commands, e-mail: dev-help@lucene.apache.org