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https://issues.apache.org/jira/browse/LUCENE-954?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Otis Gospodnetic updated LUCENE-954:
------------------------------------

    Lucene Fields: [New, Patch Available]  (was: [Patch Available, New])
         Assignee: Otis Gospodnetic

Unit test passes.
Will commit next week.


> Toggle score normalization in Hits
> ----------------------------------
>
>                 Key: LUCENE-954
>                 URL: https://issues.apache.org/jira/browse/LUCENE-954
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: Search
>    Affects Versions: 2.2, 2.3, 2.3.1, 2.4
>         Environment: any
>            Reporter: Christian Kohlschütter
>            Assignee: Otis Gospodnetic
>             Fix For: 2.4
>
>         Attachments: hits-scoreNorm.patch, LUCENE-954.patch
>
>
> The current implementation of the "Hits" class sometimes performs score 
> normalization.
> In particular, whenever the top-ranked score is bigger than 1.0, it is 
> normalized to a maximum of 1.0.
> In this case, Hits may return different score results than TopDocs-based 
> methods.
> In my scenario (a federated search system), Hits delievered just plain wrong 
> results.
> I was merging results from several sources, all having homogeneous statistics 
> (similar to MultiSearcher, but over the Internet using HTTP/XML-based 
> protocols).
> Sometimes, some of the sources had a top-score greater than 1, so I ended up 
> with garbled results.
> I suggest to add a switch to enable/disable this score-normalization at 
> runtime.
> My patch (attached) has an additional peformance benefit, since score 
> normalization now occurs only when Hits#score() is called, not when creating 
> the Hits result list. Whenever scores are not required, you save one 
> multiplication per retrieved hit (i.e., at least 100 multiplications with the 
> current implementation of Hits).

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