| 2025 | IUI | Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness. | Ulysse Maes, Lien Michiels, Annelien Smets |
| 2025 | RecSys | Not One News Recommender To Fit Them All: How Different Recommender Strategies Serve Various User Segments. | Hanne Vandenbroucke, Ulysse Maes, Lien Michiels, Annelien Smets |
| 2024 | RecSys | GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs. | Ulysse Maes, Lien Michiels, Annelien Smets |
| 2024 | RecSys | It's (not) all about that CTR: A Multi-Stakeholder Perspective on News Recommender Metrics. | Hanne Vandenbroucke, Annelien Smets |
| 2023 | RecSys | How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. | Lien Michiels, Jorre T. A. Vannieuwenhuyze, Jens Leysen, Robin Verachtert, Annelien Smets, Bart Goethals |
| 2022 | RecSys | Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design. | Annelien Smets, Lien Michiels, Toine Bogers, Lennart Bjrneborn |
| 2020 | ICWE | Interactive Route Personalization Using Regions of Interest. | Harm Delva, Annelien Smets, Pieter Colpaert, Pieter Ballon, Ruben Verborgh |
| 2019 | RecSys | Does the Bubble Go Beyond? An Exploration of the Urban Filter Bubble. | Annelien Smets, Eladio Montero, Pieter Ballon |