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// 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
Speaker: Daniele 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