[jira] [Commented] (SOLR-9851) Introduce Interesting Terms Json Facet

["Alessandro Benedetti (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SOLR-9851?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15741614#comment-15741614 ] 

Alessandro Benedetti commented on SOLR-9851:
--------------------------------------------

[~yonik@apache.org] what do you think ?
Is Json Faceting the right place to include it ?

I think that can be a good initial stage and then probably I can take a look to the streaming implementation in a second phase.

Cheers

> Introduce Interesting Terms Json Facet
> --------------------------------------
>
>                 Key: SOLR-9851
>                 URL: https://issues.apache.org/jira/browse/SOLR-9851
>             Project: Solr
>          Issue Type: New Feature
>      Security Level: Public(Default Security Level. Issues are Public) 
>          Components: Facet Module, faceting
>            Reporter: Alessandro Benedetti
>
> After playing a bit with the Lucene MLT I noticed a couple of methods were there for calculating the interesting terms ( from the seed document) .
> I think this can be extended to a supported calculation on the search results.
> Specifically I am thinking to initially add a new type of Json Facet ( InterestingTerms).
> This new aggregation will calculate the interesting terms from the search results given :
> - a field
> - a minCount ( we ignore the score calculus for terms occurring less than this threshold in the search results)
> - possibly all the other supported params for faceting
> Naive Implementation :
> Score for each term can be calculated as :
> count * IDF 
> Observations
> Taking a look around the web, I see that a similar type of aggregation has already been included in Elastic Search time ago ( see nice blog from  Mark at https://www.elastic.co/blog/significant-terms-aggregation )
> Any reason we don't have anything similar yet ?
> I will provide better design and more information soon.



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