
The Importance of Online Testing in Learning to Rank – Part 1
It is fundamental to online test your Learning To Rank system, this blog shows you how it can be implemented and the most common mistakes.

It is fundamental to online test your Learning To Rank system, this blog shows you how it can be implemented and the most common mistakes.

This blog is a quick summary of our experience at the ECIR 2018, the European Conference on Information Retrieval.

The focus here will be on the Apache Solr side configuration and usage with all the related tips and tricks.

This blog post is about the Apache Solr Learning to Rank Tools : a set of utilities for the Solr LTR integration.

This blog is about the model training for the Learning To Rank integration, after we modelled our dataset, collected the data and refined it.

We introduce you to Learning To Rank In Apache Solr. Start the exciting journey to bring LTR to production for your search engine.

This blog post is about the Solr classification module and the way Lucene classification has been integrated at indexing time in Apache Solr.

Let’s describe the approach used in the Lucene Classification module to adapt text classification to document (multi-field) classification.
We are Sease, an Information Retrieval Company based in London, focused on providing R&D project guidance and implementation, Search consulting services, Training, and Search solutions using open source software like Apache Lucene/Solr, Elasticsearch, OpenSearch and Vespa.
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