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
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
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
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
Digging in the Solr code: 5 minutes how to
Let’s quickly setup a Solr development environment for implementation and debugging purposes, with our 5 minutes how to!
Andrea Gazzarini
December 31, 2019
Entity Search with Graph Embeddings – Part 3 – Documents and Retrieval
Third part of the journey into Entity Search trough embeddings. Focus of the post is the ranking phase.
Anna Ruggero
December 5, 2019
Entity Search with graph embeddings – Part 1 – Overview
Entity Search: how to build virtual documents leveraging on graph embeddings. How to exploit entity embeddings and clustering.
Anna Ruggero
November 14, 2019
Apache Solr Distributed Facets
How faceting is calculated in Apache Solr distributed architectures. It presents inner details explanation and practical examples.
Alessandro Benedetti
October 23, 2018
Rated Ranking Evaluator: Help the poor (Search Engineer)
The Rated Ranking Evaluator is a search quality evaluation tool which evaluates the quality of results coming from a search infrastructure.
Andrea Gazzarini
July 10, 2018
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.
