[LUCENE-5354] Blended score in AnalyzingInfixSuggester

• Type: Improvement
• Status: Closed
• Priority: Minor
• Resolution: Fixed
• Affects Version/s: 4.4
• Fix Version/s: 4.7, 6.0
• Component/s: modules/spellchecker
• Labels: suggester
• Lucene Fields: New
• Assignee: Unassigned
• Reporter: Remi Melisson
• Created: 02/Dec/13 12:19
• Updated: 28/Aug/22 13:57
• Resolved: 14/Jan/14 16:33

Description

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 :

a) by using the term position in the text (found with TermVector and DocsAndPositionsEnum)

or

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 ?