[
https://issues.apache.org/jira/browse/SOLR-9851?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15741699#comment-15741699
]
Alessandro Benedetti commented on SOLR-9851:
--------------------------------------------
Of Course after the initial Naive approach we can investigate additional
algorithms to score how much a term is interesting.
Such as :
- Chi Square distance
- Google Normalized Distance
ect...
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
