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https://issues.apache.org/jira/browse/LUCENE-5354?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Remi Melisson updated LUCENE-5354:
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    Attachment: LUCENE-5354_4.patch

Woops, I introduced a bug when refactoring the comparator.
I submitted another path to fix this. I also updated the test case accordingly.

> Blended score in AnalyzingInfixSuggester
> ----------------------------------------
>
>                 Key: LUCENE-5354
>                 URL: https://issues.apache.org/jira/browse/LUCENE-5354
>             Project: Lucene - Core
>          Issue Type: Improvement
>          Components: modules/spellchecker
>    Affects Versions: 4.4
>            Reporter: Remi Melisson
>            Priority: Minor
>              Labels: suggester
>             Fix For: 5.0, 4.7
>
>         Attachments: LUCENE-5354.patch, LUCENE-5354_2.patch, 
> LUCENE-5354_3.patch, LUCENE-5354_4.patch
>
>
> I'm working on a custom suggester derived from the AnalyzingInfix. I require 
> what is called a "blended score" (//TODO ln.399 in AnalyzingInfixSuggester) 
> to transform the suggestion weights depending on the position of the searched 
> term(s) in the text.
> Right now, I'm using an easy solution :
> If I want 10 suggestions, then I search against the current ordered index for 
> the 100 first results and transform the weight :
> bq. a) by using the term position in the text (found with TermVector and 
> DocsAndPositionsEnum)
> or
> bq. b) by multiplying the weight by the score of a SpanQuery that I add when 
> searching
> and return the updated 10 most weighted suggestions.
> Since we usually don't need to suggest so many things, the bigger search + 
> rescoring overhead is not so significant but I agree that this is not the 
> most elegant solution.
> We could include this factor (here the position of the term) directly into 
> the index.
> So, I can contribute to this if you think it's worth adding it.
> Do you think I should tweak AnalyzingInfixSuggester, subclass it or create a 
> dedicated class ?



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