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Title: Categorical Features in Apache Solr Learning to Rank | ||
category: solr/blogposts | ||
summary: Let's see the available learning to rank Apache Solr features with a focus on categorical features and how to manage them. Written by Anna Ruggero, R&D Software Engineer at Sease. | ||
slug: categorical-features-in-apache-solr-learning-to-rank | ||
URL: blogposts/categorical-features-in-apache-solr-learning-to-rank.html | ||
save_as: blogposts/categorical-features-in-apache-solr-learning-to-rank.html | ||
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# Categorical Features in Apache Solr Learning to Rank | ||
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If you're reading this post, you're likely interested in Apache Solr's Learning to Rank features, particularly how to implement categorical features. | ||
In this article, we'll provide an overview of the feature types currently supported by Solr and the computational cost of using them. | ||
We'll also look into which of these feature types can be adapted to implement categorical features, since Solr doesn't offer dedicated support for them. | ||
Instead, we'll explore how to make the most of the available options. To read the full post, continue here: [Categorical Features in Apache Solr Learning to Rank | ||
](https://sease.io/2022/10/categorical-features-in-apache-solr-learning-to-rank.html) |