Ilaria Petreti

After an initial experience in the healthcare sector, believing strongly in the power of Big Data and Digital Transformation, Ilaria earned a Master in Data Science.
Since joining the Sease team (in 2020), she has gained a diverse range of experiences through projects related to Machine Learning and Natural Language Processing for Information Retrieval systems.
Ilaria has been working on integrating Learning To Rank and Search Quality Evaluation in e-commerce ecosystems, with the goal of improving their performance and the relevance of search results.
Additionally, she is an active member of the information retrieval research community, regularly sharing her knowledge through blogs and talks, contributing to open-source projects, and participating in international conferences.


Company/Organisation

Sease


Session

06-20
11:00
40min
How to Implement Online Search Quality Evaluation with Kibana
Ilaria Petreti, Anna Ruggero

Conducting online testing is crucial for assessing a model’s performance in a real-world scenario. This talk explores a customized approach for evaluating ranking models using Kibana.

Frannz Salon