SOLR-8542: Integrate Learning to Rank into Solr #4
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Solr Learning to Rank (LTR) provides a way for you to extract features directly inside Solr for use in training a machine learned model. You can then deploy that model to Solr and use it to rerank your top X search results. This concept was previously presented by the authors at Lucene/Solr Revolution 2015
dragonsinth
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Feb 12, 2016
LUCENE-6693: Add one more parameter-pass-through #4 git-svn-id: https://svn.apache.org/repos/asf/lucene/dev/branches/branch_5x@1692573 13f79535-47bb-0310-9956-ffa450edef68
dragonsinth
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in fullstorydev/lucene-solr
Feb 12, 2016
LUCENE-6740: Reduce warnings emitted by javac #4 (tools) git-svn-id: https://svn.apache.org/repos/asf/lucene/dev/branches/branch_5x@1696073 13f79535-47bb-0310-9956-ffa450edef68
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| cd solr | ||
| ant dist | ||
| ant example |
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I think ant example is deprecated in the current master branch,
we should point that with recent releases,
ant server
is necessary!
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thanks Alessandro, we integrated part of your PR in the new patch. |
mnilsson23
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Jul 6, 2016
…store-tweaks [Feature|Model]Store & LTRScoringAlgorithm tweaks
desultir
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Sep 6, 2016
merge from upstream
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Feb 13, 2018
1x javadocs + 2x test tweaks
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Leader revocation
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msokolov
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… less allocations (apache#4)
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Solr Learning to Rank (LTR) provides a way for you to extract features
directly inside Solr for use in training a machine learned model. You
can then deploy that model to Solr and use it to rerank your top X
search results. This concept was previously presented by the authors at
Lucene/Solr Revolution 2015