A Learning to Rank Project on a Daily Song Ranking Problem
This blog post aims to illustrate step by step a Learning to Rank project on a Daily Song Ranking problem using open source libraries.
Ilaria Petreti
December 18, 2020
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
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
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
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.
Anna Ruggero
April 29, 2020
DocValues VS Stored Fields: Apache Solr Features and Performance SmackDown
This blog post aims to explain Docvalues and Store fields in Apache Solr for operations in which they can be used interchangeably.
Elia Porciani
March 25, 2020
Introducing Weighted Synonyms in Apache Lucene/Solr
This blog post is about our latest contribution to the Apache Lucene project: introducing weighted synonyms to provide better query expansion.
Alessandro Benedetti
March 2, 2020
Music Information Retrieval: the Intervals Table
In this post we describe what is an Intervals Table and how to build it using a Behaviour-Driven-Development (BDD) approach.
Andrea Gazzarini
February 12, 2020
Apache Solr Atomic Updates: a Polymorphic Approach
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.
Andrea Gazzarini
January 28, 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.
