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Yuval Feinstein commented on LUCENE-2091:
-----------------------------------------
Otis and Robert, Here's my (limited) experience with BM25:
On a proprietary corpus (alas) I got a nice improvement, which was more pronounced in recall
(hits that were previously not ranked as top ones, and therefore remained unseen, now appear
in the top results).
I have worked on lowering the BM25 run time to a reasonable level.
I hope that once this gets into the hands of the Lucene community, BM25 performance
will approach the current Lucene scoring's performance. This is a tall order,
as the latter has been in the works for the last eight years or so.
As for use cases, in my use case BM25 helps, I believe this may be true for other cases.
> Add BM25 Scoring to Lucene
> --------------------------
>
> Key: LUCENE-2091
> URL: https://issues.apache.org/jira/browse/LUCENE-2091
> Project: Lucene - Java
> Issue Type: New Feature
> Components: contrib/*
> Reporter: Yuval Feinstein
> Priority: Minor
> Fix For: 3.1
>
> Attachments: persianlucene.jpg
>
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> http://nlp.uned.es/~jperezi/Lucene-BM25/ describes an implementation of Okapi-BM25 scoring
in the Lucene framework,
> as an alternative to the standard Lucene scoring (which is a version of mixed boolean/TFIDF).
> I have refactored this a bit, added unit tests and improved the runtime somewhat.
> I would like to contribute the code to Lucene under contrib.
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