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https://issues.apache.org/jira/browse/LUCENE-2091?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12785918#action_12785918
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Simon Willnauer commented on LUCENE-2091:
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Joaquin,
bq. For example if we have indexed with 3 fields. F1, F2, F3, and the user want
to search on F1, and F2 there is no way to compute docFreq in both fields. With
a catch-all field we have docFreq for all fields.
can you explain this a little more in detail. From my understanding, if I use a
BooleanQuery a:x1 AND b:x2 TermWeigth will calculate the IDF for Term(a, x1)
and Term(b, x2), am I missing something?
> 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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