Ilaria Petreti
Ilaria is a Data Scientist with a background in Machine Learning and Natural Language Processing for Information Retrieval systems. Since joining the Sease team in 2020, she has worked on various projects, focusing on integrating Learning To Rank and Search Quality Evaluation in e-commerce ecosystems. More recently, she has been exploring the potential of Vector Search and Large Language Models in Search, leveraging these technologies to enhance retrieval strategies and improve result relevance.
Beyond her work, she is an active information retrieval research community member, regularly sharing her insights through blog posts, contributing to open-source projects, and speaking at international conferences such as Berlin Buzzword and ElasticON.
Sease Ltd
Session
Struggling to identify relevant filters among too many facets and frustrating results navigation? We explore an AI Filter Assistant for statistical data (SDMX) showing how LLMs can be leveraged to suggest the best filters for your natural language query, helping you refine the results in Apache Solr. We share wins, fails, and lessons learned.