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https://issues.apache.org/jira/browse/LUCENE-8197?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16394664#comment-16394664
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Robert Muir commented on LUCENE-8197:
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Well it seems strange what its doing: using avgTF across all features. With the
index statistics it could know this for a particular feature (e.g. based on
feature's totalTermFreq).
> Make top-k queries fast when static scoring signals are incorporated into the
> score
> -----------------------------------------------------------------------------------
>
> Key: LUCENE-8197
> URL: https://issues.apache.org/jira/browse/LUCENE-8197
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Adrien Grand
> Priority: Minor
> Fix For: master (8.0)
>
> Attachments: LUCENE-8197.patch, LUCENE-8197.patch, LUCENE-8197.patch
>
>
> Block-max WAND (LUCENE-8135) and some earlier issues made Lucene faster at
> computing the top-k matches of boolean queries.
> It is quite frequent that users want to improve ranking and end up scoring
> with a formula that could look like {{bm25_score + w * log(alpha +
> pagerank)}} (w and alpha being constants, and pagerank being a per-document
> field value). You could do this with doc values and {{FunctionScoreQuery}}
> but unfortunately this will remove the ability to optimize top-k queries
> since the scoring formula becomes opaque to Lucene.
> I'd like to add a new field that allows to store such scoring signals as term
> frequencies, and new queries that could produce {{log(alpha + pagerank)}} as
> a score. Then implementing the above formula can be done by boosting this
> query with a boost equal to {{w}} and adding this boosted query as a SHOULD
> clause of a {{BooleanQuery}}. This would give Lucene the ability to compute
> top-k hits faster, especially but not only if the index is sorted by
> decreasing pagerank.
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