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Adrien Grand commented on LUCENE-8197: -------------------------------------- Thanks for catching [~shalinmangar]. I just fixed it. > 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: 7.4, master (8.0) > > Attachments: LUCENE-8197.patch, 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org