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Lien Michiels
Lien Michiels
Senior Researcher, Adrem Data Lab University of Antwerp and imec-SMIT, Vrije Universiteit Brussel
Verificeret mail på uantwerpen.be - Startside
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What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work
L Michiels, J Leysen, A Smets, B Goethals
Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation …, 2022
492022
RecPack: An (other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data
L Michiels, R Verachtert, B Goethals
Proceedings of the 16th ACM Conference on Recommender Systems, 648-651, 2022
252022
Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window
R Verachtert, L Michiels, B Goethals
Perspectives on the Evaluation of Recommender Systems Workshop (PERSPECTIVES …, 2022
192022
Serendipity in Recommender Systems Beyond the Algorithm: A Feature Repository and Experimental Design
A Smets, L Michiels, T Bogers, L Björneborn
16th ACM Conference on Recommender Systems, 44-66, 2022
132022
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News
L Michiels, J Vannieuwenhuyze, J Leysen, R Verachtert, A Smets, ...
Proceedings of the 17th ACM Conference on Recommender Systems, 640-651, 2023
82023
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education
C Bauer, B Carterette, N Ferro, N Fuhr, J Beel, T Breuer, CLA Clarke, ...
ACM SIGIR Forum 57 (1), 1-28, 2023
72023
NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems
S Vrijenhoek, L Michiels, J Kruse, A Starke, N Tintarev, J Viader Guerrero
Proceedings of the 17th ACM Conference on Recommender Systems, 1252-1254, 2023
72023
The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance
R Verachtert, J Craps, L Michiels, B Goethals
Advances in Information Retrieval: 45th European Conference on Information …, 2023
42023
NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems
J Kruse, L Michiels, A Starke, N Tintarev, S Vrijenhoek
Proceedings of the 2024 ACM SIGIR Conference on Human Information …, 2024
32024
A framework and toolkit for testing the correctness of recommendation algorithms
L Michiels, R Verachtert, A Ferraro, K Falk, B Goethals
ACM Transactions on Recommender Systems 2 (1), 1-45, 2024
32024
Reality Check–Conducting Real World Studies
B Ferwerda, A Hanbury, BP Knijnenburg, B Larsen, L Michiels, ...
Frontiers of Information Access Experimentation forResearch and Education, 20-40, 2023
2*2023
Informed Dataset Selection with ‘Algorithm Performance Spaces’
J Beel, L Wegmeth, L Michiels, S Schulz
Proceedings of the 18th ACM Conference on Recommender Systems, 1085-1090, 2024
12024
Report on NORMalize: The First Workshop on the Normative Design and Evaluation of Recommender Systems
S Vrijenhoek, L Michiels, J Kruse, A Starke, JV Guerrero, N Tintarev
CEUR Workshop Proceedings 3639, 2023
12023
An Interpretable Model for Collaborative Filtering Using an Extended Latent Dirichlet Allocation Approach
F Wilhelm, M Mohr, L Michiels
The International FLAIRS Conference Proceedings 35, 2022
12022
NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems
A Starke, S Vrijenhoek, L Michiels, J Kruse, N Tintarev
Proceedings of the 18th ACM Conference on Recommender Systems, 1242-1244, 2024
2024
GenUI (ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs
U Maes, L Michiels, A Smets
Proceedings of the 18th ACM Conference on Recommender Systems, 1177-1179, 2024
2024
Methodologies to evaluate recommender systems
L Michiels
University of Antwerp, 2024
2024
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Artikler 1–17