We are delighted to announce the fifteenth edition of the London Information Retrieval Meetup and this time it will be an Hybrid event!
As usual, the meetup will be free and aimed at Information Retrieval passionates and professionals who are curious to explore and discuss the latest trends in the field.
The meeting will be structured with 2 technical talks, with a Q&A session after each talk.
How to Implement Your Online Search Quality Evaluation With Kibana
Online testing remains the optimal way to prove how your ranking model performs in your real-world scenario. It can lead to many advantages such as having a direct interpretation of the results and confirming the estimation of offline tests. It gives a better understanding of the ranking model behaviour and builds a solid foundation to learn from to improve it.
Nowadays, the available evaluation tools have some limitations and in this talk we will describe an alternative and customised approach for evaluating ranking models through the use of Kibana.
First of all we give an overview of online testing, highlighting pros and cons and describing the state-of-the-art.
We then dive into our Kibana’s implementation and the reasons behind it. We will explore the tools Kibana provides, with their constraints for real-world applications, and show, through practical examples, how to create dashboards (with queries and code) to compare different models.
Retrieving Key Events From 1 Billion News Stories
At Signal AI we make around 1 billion of the world’s news articles from the last 15 months available to search. However, with so much happening in the world it can be easy for auditors, investors and decision makers to miss key pieces of information, especially when looking for unknown risks. This talk will focus on how we use clustering to enable our users to quickly search through huge corpuses and find key moments that get the most coverage in the news.