[jira] Commented: (LUCENE-1360) A Similarity class which has unique length norms for numTerms <= 10

["Robert Muir (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/LUCENE-1360?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12986378#action_12986378 ] 

Robert Muir commented on LUCENE-1360:
-------------------------------------

Now that we have custom norm encoders, is this one obselete? 
you can just use SmallFloat.floatToByte52 to enc/dec your norms?

> A Similarity class which has unique length norms for numTerms <= 10
> -------------------------------------------------------------------
>
>                 Key: LUCENE-1360
>                 URL: https://issues.apache.org/jira/browse/LUCENE-1360
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: Query/Scoring
>            Reporter: Sean Timm
>            Assignee: Otis Gospodnetic
>            Priority: Trivial
>         Attachments: LUCENE-1380 visualization.pdf, ShortFieldNormSimilarity.java
>
>
> A Similarity class which extends DefaultSimilarity and simply overrides lengthNorm.  lengthNorm is implemented as a lookup for numTerms <= 10, else as {{1/sqrt(numTerms)}}. This is to avoid term counts below 11 from having the same lengthNorm after stored as a single byte in the index.
> This is useful if your search is only on short fields such as titles or product descriptions.
> See mailing list discussion: http://www.nabble.com/How-to-boost-the-score-higher-in-case-user-query-matches-entire-field-value-than-just-some-words-within-a-field-td19079221.html

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