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https://issues.apache.org/jira/browse/LUCENE-1896?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12752591#action_12752591
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Marvin Humphrey commented on LUCENE-1896:
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> at what I am trusting is essentially no cost.
Here's the snippet from TermQuery.score() where queryNorm() actually
gets applied to each document's score:
{code}
float raw = // compute tf(f)*weight
f < SCORE_CACHE_SIZE // check cache
? scoreCache[f] // cache hit
: getSimilarity().tf(f)*weightValue; // cache miss
{code}
At this point, queryNorm() has already been factored into weightValue (and
scoreCache). It happens during setup. You can either scale weightValue by
queryNorm() during setup or not -- the per-document computational cost is
unaffected.
> Modify confusing javadoc for queryNorm
> --------------------------------------
>
> Key: LUCENE-1896
> URL: https://issues.apache.org/jira/browse/LUCENE-1896
> Project: Lucene - Java
> Issue Type: Improvement
> Components: Javadocs
> Reporter: Jiri Kuhn
> Priority: Minor
> Fix For: 2.9
>
>
> See http://markmail.org/message/arai6silfiktwcer
> The javadoc confuses me as well.
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