EvalRS 2023
EvalRS: A Rounded Evaluation Of Recommender Systems 2023

Table of Contents

• EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments (preface)
  Federico Bianchi, Patrick John Chia, Ciro Greco, Claudio Pomo, Gabriel Moreira, Davide Eynard, Fahd Husain, Jacopo Tagliabue
  Summary: There were 7 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume, 3 as regular papers and 2 as short papers.

Keynotes

• Practical Considerations for Responsible RecSys
  Luca Belli
• Ask and answer: A case study in ML evaluation at Snap
  Joey Robinson

Paper Session

• Realistic but Non-Identifiable Synthetic User Data Generation
  Isaac Noble, Ivan Vendrov, Xin Xu, Deepak Ramachandran
• Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems
  Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia
• Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders
  Petr Kasalický, Rodrigo Alves, Pavel Kordík
• Evaluating Recommendation Systems Using the Power of Embeddings (short paper)
  Jonathan Gomes Selman, Robert Friel, Bogdan Gheorghe, Derek Austin, Atindriyo Sanyal
• Metric@CustomerN: Evaluating Metrics at a Customer Level in E-Commerce (short paper)
  Mayank Singh, Emily Ray, Marc Ferradou, Andrea Barraza-Urbina