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From "Adrien Grand (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (LUCENE-8072) Improve accuracy of similarity scores
Date Fri, 01 Dec 2017 14:37:01 GMT

     [ 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



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