Hi all, *1)* has been added in Jira : https://issues.apache.org/jira/browse/LUCENE-8343 <https://issues.apache.org/jira/browse/LUCENE-8343> . A patch with the fix and related tests is available for review.
Regards -------------------------- Alessandro Benedetti Search Consultant, R&D Software Engineer, Director www.sease.io On Tue, May 22, 2018 at 3:05 PM, Alessandro Benedetti <[email protected]> wrote: > Thanks David, I attach in copy Andrea, probably he wants to follow up as > he originally found the Lucene behavior. > > Cheers > > -------------------------- > Alessandro Benedetti > Search Consultant, R&D Software Engineer, Director > www.sease.io > > On Tue, May 22, 2018 at 2:53 PM, David Smiley <[email protected]> > wrote: > >> Feel free to file an issue with a proposal; probably to Lucene in this >> case. >> >> On Tue, May 22, 2018 at 7:42 AM Alessandro Benedetti < >> [email protected]> wrote: >> >>> UP >>> i am facing the same behaviour and I agree with Andrea observations, any >>> view on this from the dev community ? >>> >>> Regards >>> >>> On Wed, Nov 29, 2017 at 4:36 PM, Andrea Gazzarini <[email protected]> >>> wrote: >>> >>>> Hi guys, >>>> any suggestion about this? >>>> >>>> Best, >>>> Andres >>>> >>>> On 27 Nov 2017 5:54 pm, "Andrea Gazzarini" <[email protected]> wrote: >>>> >>>>> Hi, >>>>> I'm using Solr 7.1.0 (but I guess all what I'm going to describe is >>>>> the same in the previous versions) and I have to implement a simple >>>>> product >>>>> name suggester. >>>>> >>>>> I started focusing on the BlendedInfixLookup which could fit my needs, >>>>> but I have some doubts, even after looking at the code, about how it >>>>> works. I have several questions: >>>>> >>>>> *1) org.apache.lucene.search.su >>>>> <http://org.apache.lucene.search.su>ggest.Lookup* >>>>> The formula in the BlendedInfixSuggester documentation says "final >>>>> weight = 1 - (0.10*position)" so it would suggest to me a float or a >>>>> double >>>>> datatype. Instead, the "value" instance member of the Lookup class, which >>>>> should hold the computed weight, it's a long. >>>>> I realised that because, in a scenario where the weight field in my >>>>> schema always returns 1, the final computed weight is always 0 or 1, >>>>> therefore loosing the precision when the actual result of the formula >>>>> above >>>>> is between 0 and 1 (excluded). >>>>> >>>>> 2) *Position role within the **BlendedInfixSuggester* >>>>> 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 >>>>> >>>>> score = weight * (1 - 0.10 * position) = 1000 * (1 - 0.10 * 0) = 1000 >>>>> >>>>> Is that the expected behaviour? >>>>> >>>>> Many thanks in advance >>>>> Andrea >>>>> >>>> >>> >>> >>> -- >>> -------------------------- >>> >>> Benedetti Alessandro >>> Visiting card - http://about.me/alessandro_benedetti >>> Blog - http://alexbenedetti.blogspot.co.uk >>> >>> "Tyger, tyger burning bright >>> In the forests of the night, >>> What immortal hand or eye >>> Could frame thy fearful symmetry?" >>> >>> William Blake - Songs of Experience -1794 England >>> >> -- >> Lucene/Solr Search Committer, Consultant, Developer, Author, Speaker >> LinkedIn: http://linkedin.com/in/davidwsmiley | Book: >> http://www.solrenterprisesearchserver.com >> > >
