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https://issues.apache.org/jira/browse/LUCENE-8311?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16483764#comment-16483764
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Robert Muir commented on LUCENE-8311:
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I wonder if its difficult to test with another similarity such as a DFR model?
I'm only asking because I'm a little concerned that the bogus way we compute
"phrase IDF" for BM25Similarity & ClassicSimilarity is getting in your way.
All the other models use a more sane approach (scores like a disjunction
internally). BM25 carried along the brain damage of ClassicSimilarity just
because it was trying to minimize differences, but not for any particular good
reason.
> Leverage impacts for phrase queries
> -----------------------------------
>
> Key: LUCENE-8311
> URL: https://issues.apache.org/jira/browse/LUCENE-8311
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Adrien Grand
> Priority: Minor
> Attachments: LUCENE-8311.patch
>
>
> Now that we expose raw impacts, we could leverage them for phrase queries.
> For instance for exact phrases, we could take the minimum term frequency for
> each unique norm value in order to get upper bounds of the score for the
> phrase.
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