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Alessandro Benedetti commented on LUCENE-8347: ---------------------------------------------- I agree, let's finalise LUCENE-8343 first and then I will take a look again to this contribution and update it ! > BlendedInfixSuggester to handle multi term matches better > --------------------------------------------------------- > > Key: LUCENE-8347 > URL: https://issues.apache.org/jira/browse/LUCENE-8347 > Project: Lucene - Core > Issue Type: Improvement > Components: core/search > Affects Versions: 7.3.1 > Reporter: Alessandro Benedetti > Priority: Major > Attachments: LUCENE-8347.patch, LUCENE-8347.patch > > > Currently the blendedInfix suggester considers just the first match position > when scoring a suggestion. > From the lucene-dev mailing list : > " > If I write more than one term in the query, let's say > > "Mini Bar Fridge" > > I would expect in the results something like (note that allTermsRequired=true > and the schema weight field always returns 1000) > > - *Mini Bar Fridge* something > - *Mini Bar Fridge* something else > - *Mini Bar* something *Fridge* > - *Mini Bar* something else *Fridge* > - *Mini* something *Bar Fridge* > ... > > Instead I see this: > > - *Mini Bar* something *Fridge* > - *Mini Bar* something else *Fridge* > - *Mini Bar Fridge* something > - *Mini Bar Fridge* something else > - *Mini* something *Bar Fridge* > ... > > After having a look at the suggester code > (BlendedInfixSuggester.createCoefficient), I see that the component takes in > account only one position, which is the lowest position (among the three > matching terms) within the term vector ("mini" in the example above) so all > the suggestions above have the same weight > " > Scope of this Jira issue is to improve the BlendedInfix to better manage > those scenarios. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org