Publications

Brett Binst, Ulysse Maes, Martijn Willemsen, and Annelien Smets. 2026. Let Me Introduce You: Stimulating Taste-Broadening Serendipity through Song Introductions. In 34th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’26), June 08–11, 2026, Gothenburg, Sweden. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3774935.3806164

Ulysse Maes, Cedric Waterschoot, Francesco Barile, and Nava Tintarev. 2026. FIRE: A Modular Framework for Prototyping and Evaluating Interactive Recommender Explanations. In Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '26). Association for Computing Machinery, New York, NY, USA, 484–486.

Errando, A., Afilipoaie, A., & Ranaivoson, H. (2026). You Might Also (Not) Like … : Newsroom Wariness to News Personalisation? Journalism Practice, 1–20. https://doi.org/10.1080/17512786.2026.2682271

Li, D., Ranaivoson, H., & Ballon, P. (2026). Frustrations with Access to Preferred Content: User Experiences with Bilibili’s Recommender Systems Reflected on Weibo. International Journal of Human–Computer Interaction, 1–34. https://doi.org/10.1080/10447318.2026.2669039

Errando, A., Vandenbroucke, H., & Kulig, M. (2026). Multistakeholder challenges and opportunities of news recommender systems in newsrooms: a comparative systematic literature review. Annals of the International Communication Association 

Binst, B., Michiels, L., & Smets, A. (2026). Beyond rational choice: A typology of urban discovery. Tourism Management, 113, 105327.

Ulysse Maes. 2026. Towards Adaptive Mixed-Initiative Media Recommender Systems with LLMs. In Companion Proceedings of the 31st International Conference on Intelligent User Interfaces (IUI '26 Companion). Association for Computing Machinery, New York, NY, USA, 231–233. 

Münter Lassen, J., Iordache, C., Martin, D., Bruun, H., Świtkowski, F., Nucci, A., & Johnson, C. (2026). Not that personal: A qualitative study of personalization practices on six European public streaming service. Television & New Media, 1–19. https://doi.org/10.1177/15274764251415356

Li, D., Smets, A., & Ranaivoson, H. (2026). Understanding user preferences in recommender systems: A systematic review with a user-centric perspective in the audiovisual domain. International Journal of Human-Computer Studies, 103741.

Gallo, P., & Iordache, C. (2026). Dubbing wars: localisation strategies of transnational streaming services for Spanish ‘original’ works. Convergence: The International Journal of Research into New Media Technologies, 1-17. https://doi.org/10.1177/1354856526141627

Vandenbroucke, H., Michiels, L., & Smets, A. (2025). Welcome to the Metrics Jungle: Organizational Stakeholder Perspectives on evaluation of news recommender systems in industry. ACM Transactions on Recommender Systems, Highlights of RecSys ’24. https://doi.org/10.1145/3778173

Vandenbroucke, H., & Smets, A. (2025). From experimentation to strategy: the ambidextrous balancing act of developing news recommender systems. Journal of Media Business Studies, 1–28. https://doi.org/10.1080/16522354.2025.2590880