Common errors and warnings in manipulating feature stores and models in Solr. Pay attention also to JVM Heap and Zookeeper.
Apache Solr Learning to Rank Feature and Model Stores
This blog post explains how to list, upload and delete feature and model stores in Apache Solr for learning to rank.
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
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.
Apache Solr Learning To Rank Interleaving
Interleaving is an online evaluation approach for ranking functions, contributed to Apache Solr Learning to Rank by Sease.
London Information Retrieval Meetup June
After the very warm reception of the first year, the fifth London Information Retrieval Meetup is approaching (23/06/2020) and we are excited to add more details about our speakers and talks!The event is going to be fully remote (given the COVID-19 situation) and free! You are invited to register : https://www.meetup.com/London-Information-Retrieval-Meetup-Group/events/270905716/ Our second speaker is … Continue reading London Information Retrieval Meetup June
Online Testing for Learning To Rank: Interleaving
If you have read Part 1 of this blog post, you should know by now how many fantastic things can be done with online testing! In particular, the advantages that interleaving brings with respect to A/B testing, but you are still waiting for the answer to a question: how to implement it? Let's see together … Continue reading Online Testing for Learning To Rank: Interleaving
The Importance of Online Testing in Learning to Rank – Part 1
You have just trained a learning to rank model and you now want to know how it performs. You can start by looking at the evaluation parameters returned by the train on the test set, but you are still not sure of which will be the impact in using it in a real website. This … Continue reading The Importance of Online Testing in Learning to Rank – Part 1
Haystack 2019 Experience
This blog is a quick summary of my (subjective) experience at Haystack 2019 : the Search Relevance Conference, hosted in Charlottesville (Virginia, USA) from 24/04/2019 to 25/04/2019.References to the slides will be updated as soon as they become available. First of all my feedback on the Haystack Conference is extremely positive.From my perspective the conference … Continue reading Haystack 2019 Experience
London Information Retrieval Meetup
The London Information Retrieval Meetup is approaching (19/02/2019) and we are excited to add more details about the speakers and talks!The event is free and you are invited to register :https://www.eventbrite.com/e/information-retrieval-meetup-tickets-54542417840After Sambhav Kothari, software engineer at Bloomberg and Elia Porciani, R&D software engineer at Sease, our last speaker is Andrea Gazzarini, founder and software engineer at Sease … Continue reading London Information Retrieval Meetup