We are so happy to announce the seventh London Information Retrieval Meetup, a free evening meetup aimed to Information Retrieval passionates and professionals who are curious to explore and discuss the latest trends in the field.
This time we go fully remote, given the COVID-19 situation and the impossibility of hosting the event live.
The evening will be structured with 1 technical talk followed by a Q&A session with questions from the audience chosen (add your question as a comment to the event!). The meetup will end with a networking session.
First talk
Enriching postal addresses with Elastic stack
Most of the time postal addresses from our customers or users are not very well formatted or defined in our information systems. And it can become a nightmare if you are a call center employee for example and want to find a customer by its address. Imagine as well how a sales service could easily put on a map where are located the customers and where they can open a new shop…
Let’s take a simple example:
{
"name": "Joe Smith",
"address": {
"number": "23",
"street_name": "r verdiere",
"city": "rochelle",
"country": "France"
}
}
Or the opposite. I do have the coordinates but I can’t tell what is the postal address corresponding to it:
{
"name": "Joe Smith",
"location": {
"lat": 46.15735,
"lon": -1.1551
}
}
In this live coding session, I will show you how to solve all those questions using the Elastic stack with a lot of focus on Logstash and Elasticsearch.
the speaker
David Pilato
David Pilato is Developer and Evangelist at elastic and French spoken language User Group creator. In his free time, he likes talking about elasticsearch in conferences or in companies
video
second talk
Questions & Answers
Answers to some questions about Natural Language Search, Language Modelling (Google Bert, OpenAI GPT-3), Neural Search and Learning to Rank made during our London Information Retrieval Meetup.
Alessandro Benedetti
FOUNDER @ SEASE
APACHE LUCENE/SOLR COMMITTER
APACHE SOLR PMC MEMBER
Senior Search Software Engineer, his focus is on R&D in Information Retrieval, Information Extraction, Natural Language Processing, and Machine Learning.
He firmly believes in Open Source as a way to build a bridge between Academia and Industry and facilitate the progress of applied research.
video
third talk
Learning to Rank Libraries Pros/Cons
Answers to some questions about Natural Language Search, Language Modelling (Google Bert, OpenAI GPT-3), Neural Search and Learning to Rank made during our London Information Retrieval Meetup.
the speakers
Ilaria Petreti
R&D SOFTWARE ENGINEER @ SEASE
Ilaria is a Data Scientist passionate about the world of Artificial Intelligence. She loves applying Data Mining and Machine Learnings techniques, strongly believing in the power of Big Data and Digital Transformation.
Anna Ruggero
R&D SOFTWARE ENGINEER @ SEASE
Anna Ruggero is a software engineer passionate about Information Retrieval and Data Mining.
She loves to find new solutions to problems, suggesting and testing new ideas, especially those that concern the integration of machine learning techniques into information retrieval systems.
