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https://issues.apache.org/jira/browse/LUCENE-8633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alan Woodward resolved LUCENE-8633.
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Resolution: Fixed
Fix Version/s: master (9.0)
8.0
> Remove term weighting from interval scoring
> -------------------------------------------
>
> Key: LUCENE-8633
> URL: https://issues.apache.org/jira/browse/LUCENE-8633
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Alan Woodward
> Assignee: Alan Woodward
> Priority: Major
> Fix For: 8.0, master (9.0)
>
> Attachments: LUCENE-8633.patch, LUCENE-8633.patch
>
>
> IntervalScorer currently uses the same scoring mechanism as SpanScorer,
> summing the IDF of all possibly matching terms from its parent
> IntervalsSource and using that in conjunction with a sloppy frequency to
> produce a similarity-based score. This doesn't really make sense, however,
> as it means that terms that don't appear in a document can still contribute
> to the score, and appears to make scores from interval queries comparable
> with scores from term or phrase queries when they really aren't.
> I'd like to explore a different scoring mechanism for intervals, based purely
> on sloppy frequency and ignoring term weighting. This should make the scores
> easier to reason about, as well as making them useful for things like
> proximity boosting on boolean queries.
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