Daniel Śliwiński & Patryk Radoń - Leveraging Feature Store for Recommendations | ML in PL 2024

Recommendation systems are an essential part of most e-commerce industries, often responsible for a significant portion of revenue. However, every branch of this industry has its own set of exceptions and challenges that affect how recommender systems have to be designed. In airlines, these exceptions become extreme as returning visitors become sparse, many purchases are anonymous, and items, such as flight tickets, can be sold at different prices depending on the circumstances. To overcome these challenges, we propose a simple method that utilizes information collected about users and items, omitting the need for extracting user/item embeddings with matrix factorization. Additionally, we will talk about how we used a Feature Store as a foundation for this project and why it could be beneficial to implement it in your Data Science team as well.

Daniel Śliwiński holds a master’s degree in Data Science and Business Analytics from the University of Warsaw, where he focused on exploring the intersection of airline e-commerce and machine learning. He also has a bachelor’s degree in Japanese Studies. Currently, Daniel is a Junior Data Scientist at LOT Polish Airlines, where he has contributed to various projects for over two years, working primarily on personalization, segmentation, forecasting, and big data initiatives. Outside of work, Daniel trains in Olympic weightlifting and competes in triathlon.

Patryk Radoń with a bachelors and master’s degree from Cracow’s AGH and Cracow University of Technology, he has honed his skills in data science over five years of practical experience. Currently working at LOT Polish Airlines, he specializes in modeling customer behavior with statistical background in causal inference and customer personalization, focused primarily on areas related to CRM and ecommerce. His expertise lies in leveraging data to drive business growth, optimize customer interactions, and enhance marketing strategies. In his free time he strives to balance his time between rock climbing, traveling and practicing martial arts.

This talk was one of the Sponsor Talks at the ML in PL Conference 2024.

ML in PL Conference 2024 website: https://conference2024.mlinpl.org
ML in PL Association Website: https://mlinpl.org