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https://issues.apache.org/jira/browse/LUCENE-3290?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Robert Muir updated LUCENE-3290:
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Attachment: LUCENE-3290.patch
Patch: I think its ready to commit but before committing I want mike to
double-check the unrelated nocommit i added for MemoryCodec.
Looks like its TermsWriter writes a vLong for sumTotalTermFreq, its TermsReader
reads a vInt... maybe we need a Test2BPostings :)
> add FieldInvertState.numUniqueTerms, Terms.sumDocFreq
> -----------------------------------------------------
>
> Key: LUCENE-3290
> URL: https://issues.apache.org/jira/browse/LUCENE-3290
> Project: Lucene - Java
> Issue Type: Improvement
> Components: core/index
> Reporter: Robert Muir
> Assignee: Robert Muir
> Fix For: 4.0
>
> Attachments: LUCENE-3290.patch
>
>
> For scoring systems like lnu.ltc
> (http://trec.nist.gov/pubs/trec16/papers/ibm-haifa.mq.final.pdf), we need to
> supply 3 stats:
> * average tf within d
> * # of unique terms within d
> * average number of unique terms across field
> If we add FieldInvertState.numUniqueTerms, you can incorporate the first two
> into your norms/docvalues (once we cut over),
> the average tf within d being length / numUniqueTerms.
> to compute the average across the field, we can just write the sum of all
> terms' docfreqs into the terms dictionary header,
> and you can then divide this by maxdoc to get the average.
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