After the success of the past editions, we are happy to announce the seventh London Information Retrieval Meetup, a free evening meetup aimed to Information Retrieval passionates and professionals who are curious to explore and discuss the latest trends in the field.This time we go fully remote, given the COVID-19 situation and the impossibility of … Continue reading London Information Retrieval Meetup December 2020
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Apache Solr Beginner Course [14-15-16 December]
Are you looking for a complete apache solr beginner course? Here you can find the best, online and with a small price!
Elasticsearch Alias Field Type
In this blog post we will briefly recap things we can't do when using the alias field type in Elasticsearch.
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.
Music Information Retrieval: the Intervals Matrix
In this post we describe what is an Intervals Table and how to build it using a Behaviour-Driven-Development (BDD) approach.
Explaining Learning to Rank Models with Tree Shap
Introduction A common problem with machine learning models is their interpretability and explainability.We create a dataset and we train a model to achieve a task, then we would like to understand how the model obtains those results. This is often quite difficult to understand, especially with very complex models. In this blog post, I would … Continue reading Explaining Learning to Rank Models with Tree Shap
London Information Retrieval Meetup June
After the very warm reception of the first year, the fifth London Information Retrieval Meetup is approaching (23/06/2020) and we are excited to add more details about our speakers and talks!The event is going to be fully remote (given the COVID-19 situation) and free! You are invited to register : https://www.meetup.com/London-Information-Retrieval-Meetup-Group/events/270905716/ Our second speaker is … Continue reading London Information Retrieval Meetup June
Online Testing for Learning To Rank: Interleaving
If you have read Part 1 of this blog post, you should know by now how many fantastic things can be done with online testing! In particular, the advantages that interleaving brings with respect to A/B testing, but you are still waiting for the answer to a question: how to implement it? Let's see together … Continue reading Online Testing for Learning To Rank: Interleaving
The Importance of Online Testing in Learning to Rank – Part 1
You have just trained a learning to rank model and you now want to know how it performs. You can start by looking at the evaluation parameters returned by the train on the test set, but you are still not sure of which will be the impact in using it in a real website. This … Continue reading The Importance of Online Testing in Learning to Rank – Part 1
DocValues VS Stored Fields : Apache Solr Features and Performance SmackDown
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.