[ https://issues.apache.org/jira/browse/LUCENE-3290?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Robert Muir updated LUCENE-3290: -------------------------------- 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. -- This message is automatically generated by JIRA. For more information on JIRA, see: http://www.atlassian.com/software/jira --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org