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 to Information Retrieval passionates and professionals.
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 give a better understanding of Docvalues and stored fields in Apache Solr for the 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.
In this post we describe what is an Intervals Table and how to build it using a Behaviour-Driven-Development (BDD) approach.
In this post we describe an approach to solve the problem of an application that requires both Full and Atomic Updates, using one of the powerful concepts in Object Oriented Programming: Polymorphism.
The London Information Retrieval Meetup (11/02/2020) is a free evening meetup aimed to Information Retrieval passionates and professionals.