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Robert Muir commented on LUCENE-2392: ------------------------------------- Mike, I don't think overlapTermCount should really exist in the Stats. Trying to implement some concrete FieldSimProviders, it starts getting messy. When using term unique pivoted length norm, i don't want to count these positionIncrement=0 terms either... so do we need a uniqueOverlapTermCount? Even when using non-unique (BM25) pivoted length norm, we don't want to count these when summing to calculate averages either. So i know you probably see this as 'baking something into the index' but I think positionIncrement=0 means "doesn't contribute to the document length" by definition, and the discountOverlaps=false (no longer the default) should be considered deprecated compatibility behavior :) > Enable flexible scoring > ----------------------- > > Key: LUCENE-2392 > URL: https://issues.apache.org/jira/browse/LUCENE-2392 > Project: Lucene - Java > Issue Type: Improvement > Components: Search > Reporter: Michael McCandless > Assignee: Michael McCandless > Fix For: 3.1 > > Attachments: LUCENE-2392.patch > > > This is a first step (nowhere near committable!), implementing the > design iterated to in the recent "Baby steps towards making Lucene's > scoring more flexible" java-dev thread. > The idea is (if you turn it on for your Field; it's off by default) to > store full stats in the index, into a new _X.sts file, per doc (X > field) in the index. > And then have FieldSimilarityProvider impls that compute doc's boost > bytes (norms) from these stats. > The patch is able to index the stats, merge them when segments are > merged, and provides an iterator-only API. It also has starting point > for per-field Sims that use the stats iterator API to compute boost > bytes. But it's not at all tied into actual searching! There's still > tons left to do, eg, how does one configure via Field/FieldType which > stats one wants indexed. > All tests pass, and I added one new TestStats unit test. > The stats I record now are: > - field's boost > - field's unique term count (a b c a a b --> 3) > - field's total term count (a b c a a b --> 6) > - total term count per-term (sum of total term count for all docs > that have this term) > Still need at least the total term count for each field. -- This message is automatically generated by JIRA. - If you think it was sent incorrectly contact one of the administrators: https://issues.apache.org/jira/secure/Administrators.jspa - For more information on JIRA, see: http://www.atlassian.com/software/jira --------------------------------------------------------------------- To unsubscribe, e-mail: java-dev-unsubscr...@lucene.apache.org For additional commands, e-mail: java-dev-h...@lucene.apache.org