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https://issues.apache.org/jira/browse/LUCENE-8347?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16503177#comment-16503177
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Alessandro Benedetti commented on LUCENE-8347:
----------------------------------------------

New patch attached to fix the minor precommit comments issues.

> BlendedInfixSuggester to handle multi term matches better
> ---------------------------------------------------------
>
>                 Key: LUCENE-8347
>                 URL: https://issues.apache.org/jira/browse/LUCENE-8347
>             Project: Lucene - Core
>          Issue Type: Improvement
>          Components: core/search
>    Affects Versions: 7.3.1
>            Reporter: Alessandro Benedetti
>            Priority: Major
>         Attachments: LUCENE-8347.patch, LUCENE-8347.patch
>
>
> Currently the blendedInfix suggester considers just the first match position 
> when scoring a suggestion.
> From the lucene-dev mailing list :
> "
> If I write more than one term in the query, let's say 
>  
> "Mini Bar Fridge" 
>  
> I would expect in the results something like (note that allTermsRequired=true 
> and the schema weight field always returns 1000)
>  
> - *Mini Bar Fridge* something
> - *Mini Bar Fridge* something else
> - *Mini Bar* something *Fridge*        
> - *Mini Bar* something else *Fridge*
> - *Mini* something *Bar Fridge*
> ...
>  
> Instead I see this: 
>  
> - *Mini Bar* something *Fridge*        
> - *Mini Bar* something else *Fridge*
> - *Mini Bar Fridge* something
> - *Mini Bar Fridge* something else
> - *Mini* something *Bar Fridge*
> ...
>  
> After having a look at the suggester code 
> (BlendedInfixSuggester.createCoefficient), I see that the component takes in 
> account only one position, which is the lowest position (among the three 
> matching terms) within the term vector ("mini" in the example above) so all 
> the suggestions above have the same weight 
> "
> Scope of this Jira issue is to improve the BlendedInfix to better manage 
> those scenarios.



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