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Posted to dev@lucene.apache.org by "Michael McCandless (JIRA)" <ji...@apache.org> on 2014/01/09 22:17:52 UTC
[jira] [Resolved] (LUCENE-5354) Blended score in
AnalyzingInfixSuggester
[ https://issues.apache.org/jira/browse/LUCENE-5354?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michael McCandless resolved LUCENE-5354.
----------------------------------------
Resolution: Fixed
Fix Version/s: 4.7
5.0
Thanks Remi!
I committed with the wrong issue LUCENE-5345 by accident...
> 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
>
>
> 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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