
London Information Retrieval Meetup [November 2020]
Join us at our sixth Information Retrieval meetup (fully remote), to explore and discuss the latest trends in the field.

Join us at our sixth Information Retrieval meetup (fully remote), to explore and discuss the latest trends in the field.

In this post we describe what is an Intervals Table and how to build it using a Behaviour-Driven-Development (BDD) approach.

Explainability and Interpretability of Learning To Rank models are vital in Information Retrieval, in this blog we present Tree SHAP.

The London Information Retrieval Meetup (23/06/2020) is a free evening meetup aimed at Information Retrieval passionates and professionals.

Read all the important Information about our speakers and our talk at the “Haystack Live!” event in May 2020.

Secrets of Interleaving approaches for Learning To Rank online testing/evaluation. It includes implementation details and pro/cons analysis.

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 post aims to explain Docvalues and Store fields in Apache Solr for operations in which they can be used interchangeably.

Apache Lucene/Solr have been central to me for the last 10 years:I am honoured to announce I am now an APACHE LUCENE/SOLR COMMITTER ! And I am happy 🙂

This blog post is about our latest contribution to the Apache Lucene project: introducing weighted synonyms to provide better query expansion.
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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