Enhancing Reproducibility in Recommender Systems: A Path Towards Scientific Integrity and Effective Implementation

This is the official GitHub repository for the lecture "Enhancing Reproducibility in Recommender Systems: A Path Towards Scientific Integrity and Effective Implementation", hosted at the 2024 ACM RecSys Summer School in Bari (Italy).

Main information

• Lectureres: Claudio Pomo (reach out to me: email) and Antonio Ferrara (reach out to me: email)
• Date: Wednesday, October 12, 2024
• Duration: 13:45 - 14:45 CET (120 min)
• Main topics: reproducibility, replicability, recommender systems

Lecture resources

• Slides: link
• Google Colab: link