[jira] Updated: (LUCENE-1260) Norm codec strategy in Similarity

["Johan Kindgren (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/LUCENE-1260?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Johan Kindgren updated LUCENE-1260:
-----------------------------------

    Attachment: Lucene-1260.patch

Removed 'static' keyword to enable a pluggable behavior for encoding/decoding norms. Our business-case for this is to fix scoring when using NGrams. If a word is split into three parts, the norm for these parts would then become ~0.3125 (don't remember exactly) in the current implementation. A search for the exakt same word would then generate a score of less than 1.0. With a pluggable norm-calculation, we could use a norm-table with values 0-100 and get a better scoring.

Minor changes in 11 core-classes and some tests. Also minor changes in analyzers, instantiated, memory and miscellaneous.

> Norm codec strategy in Similarity
> ---------------------------------
>
>                 Key: LUCENE-1260
>                 URL: https://issues.apache.org/jira/browse/LUCENE-1260
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: Search
>    Affects Versions: 2.3.1
>            Reporter: Karl Wettin
>         Attachments: Lucene-1260.patch, LUCENE-1260.txt, LUCENE-1260.txt, LUCENE-1260.txt
>
>
> The static span and resolution of the 8 bit norms codec might not fit with all applications. 
> My use case requires that 100f-250f is discretized in 60 bags instead of the default.. 10?

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