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From "Christine Poerschke (BLOOMBERG/ LONDON)" <>
Subject Re:[jira] [Commented] (SOLR-8542) Integrate Learning to Rank into Solr
Date Wed, 11 Jan 2017 19:17:39 GMT
Hi Cassandra,

JIRA looks to be down with ETA for it being back beyond the end of my day here in London but
I just wanted to let you know about the draft umbrella page
that I just started.

Also cc/fyi including Joel Bernstein who perhaps could add example content for the Logistic
Regression Text Classifier.



----- Original Message -----
At: 01/11/17 17:52:51


Cassandra Targett commented on SOLR-8542:

bq. How about "Learning To Rank" as a sub-page of the "Query Re-Ranking"...

+1 [~cpoerschke], I like that idea.

bq. Regarding the alternative of "Machine Learned Ranking", how about reserving that for future

Ah, I get what you're saying. There will be features in the future (hopefully) that would
make an umbrella page named "Machine Learned Ranking" worth having so we shouldn't use it
now. How about renaming it to "Learning to Rank", then?

> Integrate Learning to Rank into Solr
> ------------------------------------
>                 Key: SOLR-8542
>                 URL:
>             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|].
> ----
> Solr Reference Guide documentation:
> *
> Source code and README files:
> * [solr/contrib/ltr|]
> * [solr/contrib/ltr/example|]

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