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Ajinkya Kale commented on SOLR-8183: ------------------------------------ Here is a hacky piece I wrote in a few hours https://github.com/ajkl/solr-ltr-plugin Its not polished but it works. I would also like to mention that I could write such a functionality without knowing Solr internals and codebase is a big win for Solr and its plugin architecture! Thank you all who made it possible. > Add Learning to Rank framework to Solr > -------------------------------------- > > Key: SOLR-8183 > URL: https://issues.apache.org/jira/browse/SOLR-8183 > Project: Solr > Issue Type: New Feature > Reporter: Ajinkya Kale > > Add a Learning to Rank or Machine Learned Ranking framework to Solr. The > framework should be able to > 1. Generate user-result-click tracking logs > 2. Learning/Training component which is based on something like Ranklib > (http://sourceforge.net/p/lemur/wiki/RankLib/) > 3. Push the model learnt in step 2 to Solr through the existing rerank > framework > I have a very crude experimental code for step 2 and 3 working (thanks to the > help from Joel Bernstein). > For step 1 I was wondering if Solr has an open source version of > https://docs.lucidworks.com/display/lweug/Click+Scoring+Relevance+Framework > If there existing something like this then it wont be hard to close the loop > and have an nice feedback loop implementation on LTR framework. -- 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