[
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15818223#comment-15818223
]
Christine Poerschke commented on SOLR-8542:
-------------------------------------------
Hi Cassandra and Markus - thanks for your input. ["Result
Reranking"|https://cwiki.apache.org/confluence/display/solr/Result+Reranking]
remains very much a tentative name, happy to change it.
How about "Learning To Rank" as a sub-page of the ["Query
Re-Ranking"|https://cwiki.apache.org/confluence/display/solr/Query+Re-Ranking]
i.e.
{code}
* Searching
* ...
* Query Re-Ranking
* Learning To Rank
* Transforming Result Documents
* ...
* Result Grouping
* Result Clustering
* ...
{code}
instead of the current
{code}
* Searching
* ...
* Query Re-Ranking
* Transforming Result Documents
* ...
* Result Grouping
* Result Clustering
* ...
* Result Reranking
{code}
where the tentatively named "Result Reranking" is tentatively a sibling of
"Result Grouping" and "Result Clustering"?
.
Regarding the alternative of "Machine Learned Ranking", how about reserving
that for future use (similar to the ["Parameter
Substitution"|https://cwiki.apache.org/confluence/display/solr/Parameter+Substitution]
reservation) e.g. for it to become a "routing page" directing users to the
"Learning To Rank" page, the "Logistic Regression Text Classification" content
mentioned in ["Streaming
Expressions"|https://cwiki.apache.org/confluence/display/solr/Streaming+Expressions]
and whatever else will come along in future in terms of machine learned
ranking?
> 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
> Fix For: master (7.0), 6.4
>
> 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].
> ----
> Solr Reference Guide documentation:
> * https://cwiki.apache.org/confluence/display/solr/Result+Reranking
> Source code and README files:
> *
> [solr/contrib/ltr|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr]
> *
> [solr/contrib/ltr/example|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/example]
--
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
