Categorical Features in Apache Solr Learning to Rank
In this blog post we present the available learning to rank Apache Solr features with a focus on categorical features and how to manage them.
Anna Ruggero
October 6, 2022
How the Feature Vector Cache Is Used in Apache Solr
How the FeatureLogger works? When the Feature Vector Cache is used in Solr? Is the cache speeding up the rerank process?
Anna Ruggero
February 14, 2022
Apache Solr Learning To Rank Feature Extraction and qTime
How a learning to rank query works in Solr? How we can obtain the required features extraction time from the Solr qTime parameter?
Anna Ruggero
January 12, 2022
A Learning to Rank Project on a Daily Song Ranking Problem – Part 2
This blog post is about several analysis on a LTR model and its explanation using the open source library SHAP
Ilaria Petreti
February 15, 2021
A Learning to Rank Project on a Daily Song Ranking Problem
This blog post aims to illustrate step by step a Learning to Rank project on a Daily Song Ranking problem using open source libraries.
Ilaria Petreti
December 18, 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
The Importance of Online Testing in Learning to Rank – Part 1
It is fundamental to online test your Learning To Rank system, this blog shows you how it can be implemented and the most common mistakes.
Anna Ruggero
April 29, 2020
ECIR 2018 Experience
This blog is a quick summary of our experience at the ECIR 2018, the European Conference on Information Retrieval.
Alessandro Benedetti
April 5, 2018
Solr Is Learning To Rank Better – Part 4 – Solr Integration
The focus here will be on the Apache Solr side configuration and usage with all the related tips and tricks.
Alessandro Benedetti
October 23, 2016
Solr Is Learning To Rank Better – Part 3 – Ltr tools
This blog post is about the Apache Solr Learning to Rank Tools : a set of utilities for the Solr LTR integration.
Alessandro Benedetti
August 30, 2016
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.
