Sease at ElasticON 2023

Online testing remains the optimal way to prove how your ranking model performs in your real-world scenario. It confirms the estimation of offline tests, gives a better understanding of the model behavior, and builds a solid foundation to learn from to improve it. Nowadays, the available evaluation tools have some limitations in terms of data and metrics to use; with this talk, we will describe an alternative and customized approach for evaluating ranking models through the use of Kibana. We will dive into our Kibana’s implementation, exploring the tools it provides and showing you how to create visualizations and dashboards to compare different models. We’ll share queries and code through practical examples of specific situations (based on data filtering).