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https://issues.apache.org/jira/browse/LUCENE-2557?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13226115#comment-13226115
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Robert Muir commented on LUCENE-2557:
-------------------------------------
{quote}
the fact is that it doesn't make sense to fully score fuzzy queries if your
query contains exact and fuzzy matches (the current default), and it doesnt
make sense to use a constant score either (your suggestion), a default that
does score but uses the idf of the search term would give much better default
results.
{quote}
IDF is an implementation detail of the similarity in trunk. Some scoring
systems don't even use IDF.
If you want what you describe: what is the problem? use
TopTermsBoostOnlyRewrite and apply the "IDF" or whatever you want of the
search-term yourself as the query boost.
> FuzzyQuery - fuzzy terms and misspellings are ranked higher than exact matches
> ------------------------------------------------------------------------------
>
> Key: LUCENE-2557
> URL: https://issues.apache.org/jira/browse/LUCENE-2557
> Project: Lucene - Java
> Issue Type: Bug
> Components: core/query/scoring
> Affects Versions: 3.0.2
> Reporter: Jingkei Ly
> Attachments: LUCENE-2557.patch, idf-scoring-test-case.patch
>
>
> The FuzzyQuery often causes misspellings to be ranked higher than the exact
> match, which seems to be an undesirable property generally.
> For example, in an index of surnames, if I search using a FuzzyQuery for
> "smith", the misspellings such as "smiith", or "smiht" would appear near the
> top of the search results ahead of documents that match "smith".
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