London Information Retrieval Meetup (December 2020)
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.
PROGRAMME
After a short welcome & latest news speech from our Founder Alessandro Benedetti, we will proceed to the 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.
David Pilato
Evangelist @ ElasticDavid 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
Natural Language Search, Language modelling and Neural Search
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 @ SeaseAPACHE SOLR PMC MEMBER
APACHE LUCENE/SOLR COMMITTER
Alessandro has been involved in designing and developing search-relevant solutions from the early stages of Apache Solr 1.4 and edismax query parser in 2010. Over the years he has worked on various projects aiming to build search solutions able to satisfy the user information needs, often integrating such solutions with machine learning and artificial intelligence technologies.
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.
Ilaria Petreti
IR/ML ENGINEER @ SeaseIlaria is a Data Scientist passionate about the world of Artificial Intelligence.She got a Master in Data Science, strongly believing in the power of Big Data and Digital Transformation. Thanks to the practical application on Flight Delay Prediction developed during her thesis work, she implemented several Data Mining and Machine Learning techniques and became familiar with the programming language R. She is also involved in a Research Project, deepening her knowledge about Ensemble Learning, with a specific focus on the Super Learner algorithm.
Anna Ruggero
R&D SOFTWARE ENGINEER @ SEASEAnna 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.
Anna came into contact with search engines during her studies falling in love with this world, therefore she decided to investigate this topic further participating to the 12th European Summer School in Information Retrieval and doing her master degree dissertation on Entity Search.
Thanks to this path, she has expanded and improved her knowledges of Java and Python languages, information retrieval systems, clustering and word embeddings.
Join our Group
Researchers, scientists, and other practitioners in the field of Information Retrieval, Machine Learning, and Data Science… join us, and let’s create a group of passionate and professionals!
