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https://issues.apache.org/jira/browse/LUCENE-2091?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12834421#action_12834421
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Robert Muir commented on LUCENE-2091:
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Joaquin, have you seen this paper:
http://doc.rero.ch/lm.php?url=1000,43,4,20091218142456-GY/Dolamic_Ljiljana_-_When_Stopword_Lists_Make_the_Difference_20091218.pdf
Its of interest how they modified BM25's idf formula slightly in a way to
improve results when no stopwords list is used. I'm curious what you think
about this as it looks like a potential improvement for people not using
stopwords (multilingual situation, etc)
> 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: LUCENE-2091.patch, 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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