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
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
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
Entity Search with graph embeddings – Part 4 – Evaluation and conclusion
In this final part of the Entity Search with Graph Embeddings serie we see evaluation measures and results.
Anna Ruggero
December 17, 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
Haystack 2019 Experience
This blog is a quick summary of our experience at the Haystack 2019 in Charlottesville (Virginia, USA) from 24/04 to 25/04.
Alessandro Benedetti
May 7, 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
Synonyms and Stopwords: Vademecum
In this post we’ll cover two additional synonyms scenarios and we’ll try to summarise all previous tips in a concise form.
Andrea Gazzarini
September 10, 2018
Apache Solr/Elasticsearch: How to Manage Multi-term Concepts out of the Box?
Approach for searching multi-term entities/concepts out-of-the-box, without installing any additional components.
Andrea Gazzarini
July 22, 2018
Apache Solr: orchestrating Known item and Full-text search
Approach for combining a Known Item Search with a regular Full-text Search, in a sample e-commerce context, using Apache Solr.
Andrea Gazzarini
May 30, 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.
