Annelien Smets
research professor at Vrije Universiteit Brussel
senior researcher at imec-SMIT, Vrije Universiteit Brussel
My research centers around personalization and recommender systems, and their value in media markets. I have a specific interest in discovery through recommenders.
Latest publications
Maes, U., Michiels, L., & Smets, A. (2024). GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs. In Proceedings of the 18th ACM Conference on Recommender Systems.
Vandenbroucke, H., & Smets, A. (2024). It's (Not) All About That CTR: a Multi-Stakeholder Perspective on News Recommender Metrics. In Proceedings of the 18th ACM Conference on Recommender Systems. https://doi.org/10.1145/3640457.3688183
Ranaivoson, H., Smets, A. & Ballon, P. (2024). Challenges and opportunities for recommender systems in media markets. In U. Rohn, M. Rimscha & T. Raats (Ed.), De Gruyter Handbook of Media Economics (pp. 215-228). Berlin, Boston: De Gruyter. https://doi.org/10.1515/9783110793444-015
Michiels, L., Vannieuwenhuyze, J., Leysen, J., Verachtert, R., Smets, A., & Goethals, B. (2023). How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. In Proceedings of the 17th ACM Conference on Recommender Systems. https://dl.acm.org/doi/10.1145/3604915.3608805