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https://issues.apache.org/jira/browse/SOLR-14560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17163109#comment-17163109
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Alessandro Benedetti edited comment on SOLR-14560 at 10/26/20, 4:01 PM:
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The review is now open.
The pull request is in a much better state and it is ready to be reviewed.
I will add a few more tests and respond to review feedbacks.
Then, once we have an acceptable patch I will proceed with the commit.
*Known Limitations*: no support in sharded mode yet
was (Author: alessandro.benedetti):
The review is not open.
The pull request is in a much better state and it is ready to be reviewed.
I will add a few more tests and respond to review feedbacks.
Then, once we have an acceptable patch I will proceed with the commit.
*Known Limitations*: no support in sharded mode yet
> 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: 1h 20m
> 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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