In this blog post we make an experimental analysis to identify the best data type to use when dealing with ids.
This blog post is about several analysis on a LTR model and its explanation using the open source library SHAP
This blog post aims to illustrate step by step a Learning to Rank project on a Daily Song Ranking problem using open source libraries.
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 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.
Introduction This blog post is about the journey necessary to bring Learning To Rank In Apache Solr search engines. Learning to Rank  is the application of Machine Learning in the construction of ranking models for Information Retrieval systems.Introducing supervised learning from user behaviour and signals can improve the relevancy of the documents retrieved bringing a new…