Workshop Program
INRA 2024 workshop will be held on 18th October 2024. It will be a half-day workshop.| 09:00 - 09:10 | Introduction |
| 09:10 - 10:30 | Paper Presentations |
| 09:10 - 09:20 | "Empowering Editors: How Automated Recommendations Support Editorial Article Curation" By Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Christoph Trattner and Simen Buodd (Short paper) |
| 09:20 - 09:35 | "A Supervised Machine Learning Approach for Supporting Editorial Article Selection" By Bilal Mahmood, Mehdi Elahi, Farhad Vadiee, Samia Touileb and Lubos Steskal (Long paper) |
| 09:35 - 09:45 | "RADio-: a Simplified Codebase for Evaluating Normative Diversity in Recommender Systems" By Sanne Vrijenhoek (Short paper) |
| 09:45 - 09:55 | "Simulating Real-World News Consumption: Deep Q-Learning for Diverse User-Centric Slate Recommendations" By Aayush Roy, Elias Tragos, Aonghus Lawlor and Neil Hurley (Short paper) |
| 09:55 - 10:05 | "Enhancing Prediction Models with Reinforcement Learning" By Karol Radziszewski and Piotr Ociepka (Short paper) |
| 10:05 - 10:20 | "Non-Stationary Multi-Armed Bandits for News Recommendations" By Noah Daniëls and Bart Goethals (Long paper) |
| 10:30 - 11:00 | Coffee Break |
| 11:00 - 11:30 | Paper Presentations |
| 11:00 - 11:15 | "Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders" By Andreea Iana, Goran Glavaš and Heiko Paulheim (Long paper) |
| 11:15 - 11:30 | "Negativity Sells? Using an LLM to Affectively Reframe News Articles in a Recommender System" By Jia Hua Jeng, Gloria Kasangu, Alain D. Starke, Erik Knudsen and Christoph Trattner (Long paper) |
| 11:30 - 12:25 | Interactive session |
| 12:25 - 12:30 | Conclusion |