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From "Remi Melisson (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (LUCENE-5354) Blended score in AnalyzingInfixSuggester
Date Mon, 16 Dec 2013 13:41:07 GMT

     [ https://issues.apache.org/jira/browse/LUCENE-5354?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Remi Melisson updated LUCENE-5354:
----------------------------------

    Attachment: LUCENE-5354.patch

I attached a first patch which allows blended score based on the position of the search term.
It only provides strategy (a) with two options :
- Linear (-10% for each position) : blended_weight = weight * (1-0.10*position)
- Reciprocal : blended_weight = weight/(1+position)

I would also like to add the second strategy (b) by directly using the score, but here is
a first attempt.
Any advice/remarks welcome!

> 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
>         Attachments: LUCENE-5354.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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