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).
- 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