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ORCIDLien Michiels
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- affiliation: University of Antwerp, Antwerp, Belgium
- affiliation: Froomle N.V., Antwerp, Belgium
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2020 – today
- 2025
[e2]Lien Michiels, Johannes Kruse, Nava Tintarev:
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. CEUR Workshop Proceedings 3898, CEUR-WS.org 2025 [contents]- 2024
- [j2]Lien Michiels
, Robin Verachtert, Andres Ferraro, Kim Falk, Bart Goethals:
A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms. Trans. Recomm. Syst. 2(1): 4:1-4:45 (2024) - [c13]Johannes Kruse, Lien Michiels, Alain Starke, Nava Tintarev, Sanne Vrijenhoek:
NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems. CHIIR 2024: 422-424 - [c12]Joeran Beel, Lukas Wegmeth, Lien Michiels, Steffen Schulz:
Informed Dataset Selection with 'Algorithm Performance Spaces'. RecSys 2024: 1085-1090 - [c11]Ulysse Maes, Lien Michiels, Annelien Smets:
GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs. RecSys 2024: 1177-1179 - [c10]Alain Starke, Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Nava Tintarev:
NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems. RecSys 2024: 1242-1244 - [e1]Lien Michiels, Johannes Kruse, Jordi Viader Guerrero, Nava Tintarev:
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. CEUR Workshop Proceedings 3639, CEUR-WS.org 2024 [contents] - 2023
- [j1]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:
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum 57(1): 7:1-7:28 (2023) - [c9]Robin Verachtert, Jeroen Craps, Lien Michiels, Bart Goethals:
The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance. ECIR (2) 2023: 646-654 - [c8]Lien Michiels, Jorre T. A. Vannieuwenhuyze, Jens Leysen, Robin Verachtert, Annelien Smets, Bart Goethals:
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. RecSys 2023: 640-651 - [c7]Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Alain Starke, Nava Tintarev, Jordi Viader Guerrero:
NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems. RecSys 2023: 1252-1254 - 2022
- [c6]Florian Wilhelm, Marisa Mohr, Lien Michiels:
An Interpretable Model for Collaborative Filtering Using an Extended Latent Dirichlet Allocation Approach. FLAIRS 2022 - [c5]Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals:
Abstract: Should Algorithm Evaluation Extend to Testing? We Think So. Perspectives@RecSys 2022 - [c4]Annelien Smets, Lien Michiels, Toine Bogers, Lennart Björneborn:
Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design. IntRS@RecSys 2022: 46-66 - [c3]Lien Michiels, Robin Verachtert, Bart Goethals:
RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data. RecSys 2022: 648-651 - [c2]Robin Verachtert, Lien Michiels, Bart Goethals:
Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window. Perspectives@RecSys 2022 - [c1]Lien Michiels, Jens Leysen, Annelien Smets, Bart Goethals:
What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work. UMAP (Adjunct Publication) 2022: 274-279
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