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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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in fullstorydev/lucene-solr
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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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!
thanks Alessandro, we integrated part of your PR in the new patch. |
mnilsson23
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…store-tweaks [Feature|Model]Store & LTRScoringAlgorithm tweaks
desultir
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merge from upstream
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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