[jira] [Commented] (SOLR-10811) Speed up MultipleAdditiveTreesModel by using QuickScorer algorithm

["Diego Ceccarelli (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SOLR-10811?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16187423#comment-16187423 ] 

Diego Ceccarelli commented on SOLR-10811:
-----------------------------------------

Please note that QuickScorer is undergoing a patent process. 
http://learningtorank.isti.cnr.it

> Speed up MultipleAdditiveTreesModel by using QuickScorer algorithm
> ------------------------------------------------------------------
>
>                 Key: SOLR-10811
>                 URL: https://issues.apache.org/jira/browse/SOLR-10811
>             Project: Solr
>          Issue Type: Improvement
>      Security Level: Public(Default Security Level. Issues are Public) 
>          Components: contrib - LTR
>            Reporter: Yuki Yano
>            Priority: Minor
>         Attachments: quickscorer_model.pdf, SOLR-10811_master.patch, SOLR-10811.patch
>
>
> QuickScorer is an algorithm which can calculate multiple additive trees fast by using bitvectors for detecting target leaves.
> It was first published in SIGIR 2015 and won the best paper award of the conference.
> refs: http://zola.di.unipi.it/rossano/wp-content/papercite-data/pdf/sigir15.pdf
> We implemented QuickScorer as one of LTRScoringModel.
> This model uses same configuration of MultipleAdditiveTreesModel, thus it is easy to replace the model.
> Our experiments show our model can calculate scores about twice faster than MultipleAdditiveTreesModel.



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