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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. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online. --------------------------------------------------------------------- To unsubscribe, e-mail: java-dev-unsubscr...@lucene.apache.org For additional commands, e-mail: java-dev-h...@lucene.apache.org