DeepImpact is a new document term-weighting scheme suitable for efficient sparse retrieval using a standard inverted index.
This blog post explores the internals of Apache Solr queryResultCache and filterCache through practical code examples.
Learning about text ranking using Deep Learning with BERT transformer. From training to neural re-ranking, with code snippets and examples.
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.
Explainability and Interpretability of Learning To Rank models are vital in Information Retrieval, in this blog we present Tree SHAP.
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.
This is the last post of the Entity Search with graph embeddings serie. In Part 2 and Part 3 we illustrated the core of the dissertation describing in detail the implementation of our solution pipeline. In this final part we will see some evaluation measures and results. We will draw some conclusions explaining which were…
This series of blog posts wants to describe my master degree dissertation done with the supervision of Prof. Gianmaria Silvello at the University of Padova. The main focus of this project is in the use of graph embeddings in order to create virtual documents for the Information Retrieval Entity Search task. This thesis description is…
