PERSPECTIVES 2023
Perspectives on the Evaluation of Recommender Systems 2023

Table of Contents

• Preface
  Summary: There were 8 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume. Furthermore, one out of three submitted abstracts was accepted.
• Annotation Practices in Societally Impactful Machine Learning Applications: What are Popular Recommender Systems Models Actually Trained On?
  Andra-Georgiana Sav, Andrew M. Demetriou, Cynthia C. S. Liem
• Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation
  Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Peter Knees, Julia Neidhardt
• Multiobjective Hyperparameter Optimization of Recommender Systems
  Marta Moscati, Yashar Deldjoo, Giulio Davide Carparelli, Markus Schedl
• The Effect of Random Seeds for Data Splitting on Recommendation Accuracy
  Lukas Wegmeth, Tobias Vente, Lennart Purucker, Joeran Beel
• Unveiling Challenging Cases in Text-based Recommender Systems
  Ghazaleh Haratinezhad Torbati, Anna Tigunova, Gerhard Weikum
• Abstract: A Common Misassumption in Online Experiments with Machine Learning Models
  Olivier Jeunen