In this blog post we present the available learning to rank Apache Solr features with a focus on categorical features and how to manage them.
In this post, we describe how RREE correlates between client application identifiers and search engine identifiers.
What is the most appropriate approach to handle queries when splitting data when evaluating learning to rank models?
In this post, we will describe how RREE discoveries and correlates the user query with the search engine queries.
Did you know you can generate explicit ratings using the plugin JCBP you can find inside Rated Ranking Evaluator Enterprise?
This blog is a tutorial to explore the results of a search quality evaluation of Elasticsearch and Solr search engines in RRE-Enterprise.
This blog is a tutorial on how to visualise the search quality evaluation results of Elasticsearch and Solr search engines in RRE-Enterprise.
How data splitting can be done and why it is important for the offline evaluation of Learning to Rank models?
This blog is a tutorial to run a search quality evaluation of Elasticsearch and Solr search engines in RRE-Enterprise.
This blog is a tutorial to define a data collection for search quality evaluation of Elasticsearch and Solr search engines in RRE-Enterprise.