| 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 | NORMalize 2025: The Third Workshop on Normative Design and Evaluation of Recommender Systems. | Lien Michiels, Sanne Vrijenhoek, Alain D. Starke, Johannes Kruse, Savvina Daniil |
| 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 | CHIIR | NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems. | Johannes Kruse, Lien Michiels, Alain Starke, Nava Tintarev, Sanne Vrijenhoek |
| 2024 | RecSys | Informed Dataset Selection with 'Algorithm Performance Spaces'. | Joeran Beel, Lukas Wegmeth, Lien Michiels, Steffen Schulz |
| 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 | NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems. | Alain Starke, Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Nava Tintarev |
| 2023 | ECIR | The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance. | Robin Verachtert, Jeroen Craps, Lien Michiels, Bart Goethals |
| 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 |
| 2023 | RecSys | NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems. | Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Alain Starke, Nava Tintarev, Jordi Viader Guerrero |
| 2022 | FlAIRS | An Interpretable Model for Collaborative Filtering Using an Extended Latent Dirichlet Allocation Approach. | Florian Wilhelm, Marisa Mohr, Lien Michiels |
| 2022 | RecSys | Abstract: Should Algorithm Evaluation Extend to Testing? We Think So. | Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals |
| 2022 | RecSys | RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data. | Lien Michiels, Robin Verachtert, 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 |
| 2022 | RecSys | Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window. | Robin Verachtert, Lien Michiels, Bart Goethals |