[jira] [Created] (LUCENE-8197) Make top-k queries fast when static scoring signals are incorporated into the score

["Adrien Grand (JIRA)" <ji...@apache.org>]

Adrien Grand created LUCENE-8197:
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             Summary: 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
             Fix For: master (8.0)


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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