Lien Michiels
Lien Michiels
PhD Student in Computer Science, University of Antwerp
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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
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
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
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
4 Working Groups 4.1 Reality Check–Conducting Real World Studies
B Ferwerda, A Hanbury, BP Knijnenburg, B Larsen, L Michiels, ...
Frontiers of Information Access Experimentation for Research and Education, 20, 2023
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
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
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, 0
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