Apache Solr Learning To Rank Interleaving
Interleaving is an online evaluation approach for ranking functions, contributed to Apache Solr Learning to Rank by Sease.
Alessandro Benedetti
December 4, 2020
London Information Retrieval Meetup (December 2020)
Programme of the seventh London Information Retrieval Meetup. Save the date: 10 December 2020 at 6 PM. It is free and online!
Lisa Biella
November 23, 2020
Apache Solr Beginner Course [14-15-16 December 2020]
Are you looking for a complete apache solr beginner course? Here you can find the best, online and with a small price!
Lisa Biella
November 20, 2020
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.
Andrea Gazzarini
November 17, 2020
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.
Lisa Biella
October 20, 2020
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.
Andrea Gazzarini
August 25, 2020
Explaining Learning to Rank Models with Tree Shap
Explainability and Interpretability of Learning To Rank models are vital in Information Retrieval, in this blog we present Tree SHAP.
Anna Ruggero
July 15, 2020
London Information Retrieval Meetup [June 2020]
The London Information Retrieval Meetup (23/06/2020) is a free evening meetup aimed at Information Retrieval passionates and professionals.
Alessandro Benedetti
June 9, 2020
Sease at Haystack Live!
Read all the important Information about our speakers and our talk at the “Haystack Live!” event in May 2020.
Lisa Biella
May 22, 2020
Online Testing for Learning To Rank: Interleaving
Secrets of Interleaving approaches for Learning To Rank online testing/evaluation. It includes implementation details and pro/cons analysis.
Anna Ruggero
May 11, 2020
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.
