Anna Ruggero
Anna has demonstrated a passion for Information Retrieval since the University. Graduated from the University of Padua, with a computer science master’s degree dissertation in Entity Search, Anna has been working as a Search Consultant in Sease since 2019.
She actively works to support clients in the process of improving their search engines with the implementation of innovative personalized solutions.
She specializes in the integration of machine learning techniques with information retrieval systems, from Learning to Rank techniques to Neural Searches and Recommender Systems. She extensively worked on e-commerce websites, improving their performance by developing personalized models and evaluation systems.
Anna highly believes in innovation and research, keeping up-to-date with the latest academic studies and contributing to them. She participated in the European Conference of Information Retrieval 2022 with a poster on offline and online evaluation in the industry; and published a paper on improving interleaving techniques for the evaluation of information retrieval systems at the ECIR 2023.
Sease Ltd
Session
We explore the usage of AI, especially NLP techniques and LLM, to enhance Apache Solr data accessibility. We propose translating natural language queries into structured Solr queries using LLM and metadata to improve search and user experience. We’ll discuss the results and future directions.