[jira] [Resolved] (SOLR-14560) Learning To Rank Interleaving

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

     [ https://issues.apache.org/jira/browse/SOLR-14560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alessandro Benedetti resolved SOLR-14560.
-----------------------------------------
    Resolution: Fixed

Thanks [~cpoerschke] for all the reviewing help!

This new feature is now merged in master and 8.x (upcoming 8.8.0 )

> Learning To Rank Interleaving
> -----------------------------
>
>                 Key: SOLR-14560
>                 URL: https://issues.apache.org/jira/browse/SOLR-14560
>             Project: Solr
>          Issue Type: New Feature
>          Components: contrib - LTR
>    Affects Versions: 8.5.2
>            Reporter: Alessandro Benedetti
>            Priority: Minor
>          Time Spent: 10h 10m
>  Remaining Estimate: 0h
>
> Interleaving is an approach to Online Search Quality evaluation that can be very useful for Learning To Rank models:
> [https://sease.io/2020/05/online-testing-for-learning-to-rank-interleaving.html|https://sease.io/2020/05/online-testing-for-learning-to-rank-interleaving.html]
> Scope of this issue is to introduce the ability to the LTR query parser of accepting multiple models (2 to start with).
> If one model is passed, normal reranking happens.
> If two models are passed, reranking happens for both models and the final reranked list is the interleaved sequence of results coming from the two models lists.
> As a first step it is going to be implemented through:
> TeamDraft Interleaving with two models in input.
> In the future, we can expand the functionality adding the interleaving algorithm as a parameter.



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