Remi Melisson created LUCENE-5354:
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Summary: 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
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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