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INRA@RecSys 2024: Bari, Italy
- Vandana Yadav:
Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2024 ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, 18 October 2024. CEUR Workshop Proceedings 3929, CEUR-WS.org 2025 - Bilal Mahmood, Mehdi Elahi, Farhad Vadiee, Samia Touileb, Lubos Steskal:
A Supervised Machine Learning Approach for Supporting Editorial Article Selection. - Noah Daniëls, Bart Goethals:
Non-Sationary Multi-Armed Bandits for News Recommendations. - Andreea Iana, Goran Glavas, Heiko Paulheim:
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders. - Jia Hua Jeng, Gloria Kasangu, Alain Starke, Erik Knudsen, Christoph Trattner:
Negativity Sells? Using an LLM to Affectively Reframe News Articles in a Recommender System. - Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Christoph Trattner:
Empowering Editors: How Automated Recommendations Support Editorial Article Curation. - Sanne Vrijenhoek:
RADio-: a simplified codebase for evaluating normative diversity in recommender systems. - Aayush Singha Roy, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley:
Simulating Real-World News Consumption: Deep Q-Learning for Diverse User-Centric Slate Recommendations. - Karol Radziszewski, Piotr Ociepka:
Enhancing Prediction Models with Reinforcement Learning.

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