// London Information Retrieval Meetup

The London Information Retrieval Meetup is a place for IR passionates and professionals, hungry to discover more about researches and trends in the field.

Each meetup aims to introduce interesting talks about Artificial Intelligence and Machine Learning applied to search, Learning to Rank, Search Quality Evaluation, Search Relevance and many other topics related to the Information Retrieval science.

Past meetups

London information retrieval meetup

2023

Location: London – Bloomberg’s Offices

Speaker: Alessandro Benedetti
Talk: How ChatGPT works: an InformationRetrieval Perspective
Speaker: Shikhar Srivastava
Talk: No mean feat: Upgrade a customized Solr to upstream Solr

London information retrieval meetup

2022

Location: London

Speaker: Anna Ruggero +Ilaria Petreti
Talk: How to Implement Your Online Search Quality Evaluation With Kibana
Speaker:  Daniel Staff
Talk: Retrieving Key Events From 1 Billion News Stories

Location: Rome (Italy)

Speaker: Alessandro Benedetti
Talk: Neural Search Comes to Apache Solr: Approximate Nearest Neighbor, BERT and More!
Speaker: Andrea Gazzarini
Talk: The Share-VDE project: indexing at scale

Location: London (online)

Speaker: Dmitry Khan
Talk: Players in Vector Search: algorithms, software and use cases

Location: Gladwin Tower, nine elms point sw8 2fs, London

Speaker: Roman Grebennikov + Vsevolod Goloviznin
Talk: Building an Open-source Online Learn-to-rank Engine
SpeakerDaniele Antuzi
Talk: How to Cache Your Searches: an Open source Implementation 

London information retrieval meetup

2021

Location: London (online)

Speaker: Jo Kristian Bergum
Talk: Taking the neural search paradigm shift to production

Location: Padua (hybrid)

Speakers: Alessandro Benedetti + Andrea Gazzarini
Talk: Rated Ranking Evaluator Enterprise: the next generation of free Search Quality Evaluation Tools
Speaker:
Giorgio Maria Di Nunzio
Talk: Am I Missing Something? Query Performance Prediction by Means of Intent-Aware Metrics in Systematic Reviews

Location: London (online)

Speaker: Dainius Jocas 
Talk: Lucene-Grep
Speaker: Eric Pugh + Dmitry Kan
Talk: Gathering Multiple Ratings w/ Quepid

Location: London (online)

Speakers: Anna Ruggero + Ilaria Petreti
Talk: Explainability for Learning to Rank
Speakers: Jan Høydahl + Michael Sokolov
Talk: The Split: Introduction and Discussion about Apache Lucene and Solr as Separate Top-Level Projects

London Information Retrieval Meetup

2020

Location: London (online)

Speaker: David Pilato
Talk: Enriching postal addresses with Elastic stack
Speaker: Alessandro Benedetti 
Talk: Natural Language Search, Language modelling and Neural Search
Speaker: Ilaria Petreti
Talk: Learning to Rank Libraries Pros/Cons

Location: London (online)

Speaker: Luke Gallagher
Talk: Feature Extraction for Large-Scale Text Collections
Speakers: Anna Ruggero + Ilaria Petreti
Talk: A Learning to Rank Project on a Daily Song Ranking Problem

Location: London (online)

Speaker: Alessandro Benedetti 
Talk: Evaluating Your Learning to Rank Model: Dos and Don’ts in Offline/Online Evaluation
Speaker: Martin White
Talk:How Enterprise Search is Different

Location: London (UK)

Speakers: Anna Ruggero
Talk: Entity Search on Virtual Documents Created with Graph Embeddings

London Information Retrieval Meetup

2019

Location: London (UK)

Speaker: Andrea Gazzarini
Talk 1: Music Information Retrieval Take 2: Interval Hashing Based Ranking
Speaker: Alessandro Benedetti 
Talk 2: How to Build your Training Set for a Learning to Rank Project

Location: London (UK)

Speaker: René Kriegler
Talk: Query Relaxation – a Rewriting Technique between Search and Recommendations

Location: London (UK)

Speaker: Sambhav Kothari
Talk: Learning To Rank: Explained for Dinosaurs
Speaker: Elia Porciani
Talk: Improving Top-K Retrieval Algorithms Using Dynamic Programming and Longer Skipping
Speaker: Andrea Gazzarini
Talk: Introduction to Music Information Retrieval