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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SOLR-8542) Integrate Learning to Rank into Solr
Date Mon, 19 Dec 2016 17:18:58 GMT

    [ https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15761736#comment-15761736
] 

ASF subversion and git services commented on SOLR-8542:
-------------------------------------------------------

Commit 4852851d85fc874e3d6fb48faac98d0552873b80 in lucene-solr's branch refs/heads/branch_6x
from [~cpoerschke]
[ https://git-wip-us.apache.org/repos/asf?p=lucene-solr.git;h=4852851 ]

SOLR-8542: techproducts example now includes (disabled) learning-to-rank support (enable via
-Dsolr.ltr.enabled=true)

additional changes as follows:

* LTRFeatureLoggerTransformerFactory:
** feature values cache name configurable (instead of hard-coded value that needs to match
solrconfig.xml configuration)
** javadocs (example and parameters)

* CSV FeatureLogger:
** removed delimiter and separator assumptions in tests
** changed delimiter and separator (from "key:val;key:val" to "key=val,key=val")
** configurable (key value) delimiter and (features) separator

* JSON FeatureLogger:
** defer support for this (removing MapFeatureLogger class)

* adds 'training libraries' to (Linear|MultipleAdditiveTrees)Model javadocs

(Diego Ceccarelli, Michael Nilsson, Christine Poerschke)


> 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, SOLR-8542.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.



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