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https://issues.apache.org/jira/browse/LUCENE-901?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12500722
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Yonik Seeley commented on LUCENE-901:
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>From a scoring perspective, it's a multiplier that's only used at the top
>level, so the scores produced will be zero anyway. How else might
>Similarity.queryNorm() be used?
If the user uses a boost of zero, It doesn't make sense to try and normalize
that upwards though. Returning 0 could also make sense.
> DefaultSimilarity.queryNorm() should never return Infinity
> ----------------------------------------------------------
>
> Key: LUCENE-901
> URL: https://issues.apache.org/jira/browse/LUCENE-901
> Project: Lucene - Java
> Issue Type: Bug
> Components: Search
> Reporter: Michael Busch
> Priority: Trivial
>
> Currently DefaultSimilarity.queryNorm() returns Infinity if
> sumOfSquaredWeights=0.
> This can result in a score of NaN (e. g. in TermScorer) if boost=0.0f.
> A simple fix would be to return 1.0f in case zero is passed in.
> See LUCENE-698 for discussions about this.
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