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Christine Poerschke commented on SOLR-8542: ------------------------------------------- And another quick note for the log here to say that i have snapshot the [updated pull request|https://github.com/apache/lucene-solr/pull/40] to https://github.com/apache/lucene-solr/tree/jira/solr-8542-v2 branch and updated the LEGAL-276 ticket re: the thus changed understanding as far as any potential patent concerns go. > Integrate Learning to Rank into Solr > ------------------------------------ > > Key: SOLR-8542 > URL: https://issues.apache.org/jira/browse/SOLR-8542 > Project: Solr > Issue Type: New Feature > Reporter: Joshua Pantony > Assignee: Christine Poerschke > Priority: Minor > Attachments: SOLR-8542-branch_5x.patch, SOLR-8542-trunk.patch > > > This is a ticket to integrate learning to rank machine learning models into > Solr. 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|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp]. > [Read through the > README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr] > for a tutorial on using the plugin, in addition to how to train your own > external model. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org