INRA 2024
International Workshop on News Recommendation and Analytics 2024

Table of Contents

• Preface
  Summary: There were 14 papers submitted for peer-review to this workshop. Out of these, 8 papers were accepted for this volume, 4 as regular papers and 4 as short papers.

• A Supervised Machine Learning Approach for Supporting Editorial Article Selection
  Bilal Mahmood, Mehdi Elahi, Farhad Vadiee, Samia Touileb, Lubos Steskal
• Non-Sationary Multi-Armed Bandits for News Recommendations
  Noah Daniëls, Bart Goethals
• Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders
  Andreea Iana, Goran Glavaš, Heiko Paulheim
• Negativity Sells? Using an LLM to Affectively Reframe News Articles in a Recommender System
  Jia Hua Jeng, Gloria Kasangu, Alain Starke, Erik Knudsen, Christoph Trattner
• Empowering Editors: How Automated Recommendations Support Editorial Article Curation
  Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Christoph Trattner
• RADio-: a simplified codebase for evaluating normative diversity in recommender systems
  Sanne Vrijenhoek
• Simulating Real-World News Consumption: Deep Q-Learning for Diverse User-Centric Slate Recommendations
  Aayush Singha Roy, Elias Tragos, Aonghus Lawlor, Neil Hurley
• Enhancing Prediction Models with Reinforcement Learning
  Karol Radziszewski, Piotr Ociepka