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https://issues.apache.org/jira/browse/SOLR-14560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17234899#comment-17234899
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ASF subversion and git services commented on SOLR-14560:
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Commit f441b435a0f075e3769740f062a90f7753535055 in lucene-solr's branch
refs/heads/branch_8x from Alessandro Benedetti
[ https://gitbox.apache.org/repos/asf?p=lucene-solr.git;h=f441b43 ]
SOLR-14560: Interleaving for Learning To Rank (#1571)
(cherry picked from commit af0455ac8366d6dba941f2b2674ed2a8245c76f9)
> 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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