Lien Michiels - RankMe

24 papers A 9B 1Misc 1Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Conversational Agents: A Framework for Evaluation (CAFE) (Dagstuhl Perspectives Workshop 24352). Dagstuhl Manifestos Christine Bauer, Li Chen, Nicola Ferro, Norbert Fuhr, Avishek Anand, Timo Breuer, Guglielmo Faggioli, Ophir Frieder, Hideo Joho, Jussi Karlgren, Johannes Kiesel, Bart P. Knijnenburg, Aldo Lipani, Lien Michiels, Andrea Papenmeier, Maria Soledad Pera, Mark Sanderson, Scott Sanner, Benno Stein, Johanne R. Trippas, Karin Verspoor, Martijn C. Willemsen
2025	J	`jnl`	Manifesto from Dagstuhl Perspectives Workshop 24352 - Conversational Agents: A Framework for Evaluation (CAFE). CoRR Christine Bauer, Li Chen, Nicola Ferro, Norbert Fuhr, Avishek Anand, Timo Breuer, Guglielmo Faggioli, Ophir Frieder, Hideo Joho, Jussi Karlgren, Johannes Kiesel, Bart P. Knijnenburg, Aldo Lipani, Lien Michiels, Andrea Papenmeier, Maria Soledad Pera, Mark Sanderson, Scott Sanner, Benno Stein, Johanne R. Trippas, Karin Verspoor, Martijn C. Willemsen
2025	—	`conf`	Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness. IUI Workshops Ulysse Maes, Lien Michiels, Annelien Smets
2025	A	`conf`	NORMalize 2025: The Third Workshop on Normative Design and Evaluation of Recommender Systems. RecSys Lien Michiels, Sanne Vrijenhoek, Alain D. Starke, Johannes Kruse, Savvina Daniil
2025	A	`conf`	Not One News Recommender To Fit Them All: How Different Recommender Strategies Serve Various User Segments. RecSys Hanne Vandenbroucke, Ulysse Maes, Lien Michiels, Annelien Smets
2025	—	`ed.`	Proceedings of the Second Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2024) co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, October 18, 2024. NORMalize@RecSys Lien Michiels, Johannes Kruse, Nava Tintarev
2025	A	`conf`	What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems. UMAP Brett Binst, Lien Michiels, Annelien Smets
2025	J	`jnl`	What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems. CoRR Brett Binst, Lien Michiels, Annelien Smets
2024	J	`jnl`	A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms. Trans. Recomm. Syst. Lien Michiels, Robin Verachtert, Andres Ferraro, Kim Falk, Bart Goethals
2024	A	`conf`	GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs. RecSys Ulysse Maes, Lien Michiels, Annelien Smets
2024	A	`conf`	Informed Dataset Selection with 'Algorithm Performance Spaces'. RecSys Joeran Beel, Lukas Wegmeth, Lien Michiels, Steffen Schulz
2024	A	`conf`	NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems. RecSys Alain Starke, Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Nava Tintarev
2024	B	`conf`	NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems. CHIIR Johannes Kruse, Lien Michiels, Alain Starke, Nava Tintarev, Sanne Vrijenhoek
2024	—	`ed.`	Proceedings of the First Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19, 2023. NORMalize@RecSys Lien Michiels, Johannes Kruse, Jordi Viader Guerrero, Nava Tintarev
2023	A	`conf`	How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. RecSys Lien Michiels, Jorre T. A. Vannieuwenhuyze, Jens Leysen, Robin Verachtert, Annelien Smets, Bart Goethals
2023	A	`conf`	NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems. RecSys Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Alain Starke, Nava Tintarev, Jordi Viader Guerrero
2023	J	`jnl`	Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel
2023	—	`conf`	The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance. ECIR (2) Robin Verachtert, Jeroen Craps, Lien Michiels, Bart Goethals
2022	—	`conf`	Abstract: Should Algorithm Evaluation Extend to Testing? We Think So. Perspectives@RecSys Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals
2022	Misc	`conf`	An Interpretable Model for Collaborative Filtering Using an Extended Latent Dirichlet Allocation Approach. FLAIRS Florian Wilhelm, Marisa Mohr, Lien Michiels
2022	—	`conf`	Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window. Perspectives@RecSys Robin Verachtert, Lien Michiels, Bart Goethals
2022	A	`conf`	RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data. RecSys Lien Michiels, Robin Verachtert, Bart Goethals
2022	—	`conf`	Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design. IntRS@RecSys Annelien Smets, Lien Michiels, Toine Bogers, Lennart Björneborn
2022	—	`conf`	What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work. UMAP (Adjunct Publication) Lien Michiels, Jens Leysen, Annelien Smets, Bart Goethals