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https://issues.apache.org/jira/browse/LUCENE-329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12833822#action_12833822
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Mark Harwood commented on LUCENE-329:
-------------------------------------

The problem with ignoring IDF completely is that it doesn't help balance 
partial matches where there is >1 fuzzy element in the query e.g.in a query  
for John~ Patitucci~ I'm probably more interested in a partial match on the 
rarer surname than a partial match on the common forename. Obliterating IDF 
completely as a factor would lose this feature (available in FuzzyLikeThisQuery)


> Fuzzy query scoring issues
> --------------------------
>
>                 Key: LUCENE-329
>                 URL: https://issues.apache.org/jira/browse/LUCENE-329
>             Project: Lucene - Java
>          Issue Type: Bug
>          Components: Search
>    Affects Versions: 1.2rc5
>         Environment: Operating System: All
> Platform: All
>            Reporter: Mark Harwood
>            Assignee: Lucene Developers
>            Priority: Minor
>         Attachments: patch.txt
>
>
> Queries which automatically produce multiple terms (wildcard, range, prefix, 
> fuzzy etc)currently suffer from two problems:
> 1) Scores for matching documents are significantly smaller than term queries 
> because of the volume of terms introduced (A match on query Foo~ is 0.1 
> whereas a match on query Foo is 1).
> 2) The rarer forms of expanded terms are favoured over those of more common 
> forms because of the IDF. When using Fuzzy queries for example, rare mis-
> spellings typically appear in results before the more common correct 
> spellings.
> I will attach a patch that corrects the issues identified above by 
> 1) Overriding Similarity.coord to counteract the downplaying of scores 
> introduced by expanding terms.
> 2) Taking the IDF factor of the most common form of expanded terms as the 
> basis of scoring all other expanded terms.

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