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

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

Alessandro Benedetti created SOLR-14560:
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             Summary: Learning To Rank Interleaving
                 Key: SOLR-14560
                 URL: https://issues.apache.org/jira/browse/SOLR-14560
             Project: Solr
          Issue Type: New Feature
      Security Level: Public (Default Security Level. Issues are Public)
          Components: contrib - LTR
    Affects Versions: 8.5.2
            Reporter: Alessandro Benedetti


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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