How does Artificial Intelligence impact Search? This post explores the state of the art of AI applied to Information Retrieval in Open Source.
This blog post aims to illustrate step by step a Learning to Rank project on a Daily Song Ranking problem using open source libraries.
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…
In this post we describe what is an Intervals Table and how to build it using a Behaviour-Driven-Development (BDD) approach.
Secrets of Interleaving approaches for Learning To Rank online testing/evaluation. It includes implementation details and pro/cons analysis.
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.
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.
Let’s quickly setup a Solr development environment for implementation and debugging purposes, with our 5 minutes how to!
Third part of the journey into Entity Search trough embeddings. Focus of the post is the ranking phase.
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