[jira] [Commented] (SOLR-8183) Add Learning to Rank framework to Solr

["Joel Bernstein (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SOLR-8183?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14967691#comment-14967691 ] 

Joel Bernstein commented on SOLR-8183:
--------------------------------------

Hi [~ajinkyakale],

Can you attach your code prototype? This will help people understand your implementation ideas.



> 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.



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