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https://issues.apache.org/jira/browse/LUCENE-6986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Robert Muir updated LUCENE-6986:
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Attachment: LUCENE-6986.patch
more docs improvements and mark classes lucene.experimental.
I think its ready.
> Add more DFI independence measures
> ----------------------------------
>
> Key: LUCENE-6986
> URL: https://issues.apache.org/jira/browse/LUCENE-6986
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Robert Muir
> Attachments: LUCENE-6986.patch, LUCENE-6986.patch, LUCENE-6986.patch
>
>
> Since LUCENE-6818 we have DFISimilarity which implements normalized
> chi-squared distance.
> But there are other alternatives (as described in
> http://trec.nist.gov/pubs/trec21/papers/irra.web.nb.pdf):
> * normalized chi-squared: "can be used for tasks that require high precision,
> against both short and long queries"
> * standardized: "good at tasks that require high recall and high precision,
> especially against short queries composed of a few words as in the case of
> Internet searches"
> * saturated: "for tasks that require high recall against long queries"
> I think we should just provide the three independence measures, and let the
> user choose. Similar to how we do DFR/IB/etc.
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