ACM RecSys Challenge
ACM RecSys Challenge is an international competition organised by the ACM RecSys Conference in cooperation with a sponsoring company. Over 100 teams from universities and large companies from all over the world challenge each other to find solutions for real problems related to recommender systems (content filtering software that create customised user-specific recommendations to help users in their choices). During the competition, participants apply various data science techniques, such as machine learning, data mining, game theory and soft computing. The best teams are invited to present their work at the conference.
Every year since 2016, a new team has represented the Politecnico at the ACM RecSys Challenge: ten students from the Recommender Systems course, coordinated by Professor Maurizio Ferrari Dacrema, researcher at the Department of Electronics, Information and Bioengineering, tackle the challenge, from online advertising to fashion advice and social media engagement.
Results
2023
- "Best Academic Team" with the paper Pessimistic Rescaling and Distribution Shift of Boosting Models for Impression-Aware Online Advertising Recommendation
2022
- Qualification for the Global Final with the paper Lightweight model for session-based recommender systems with seasonality information in the fashion domain