| 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 | 5 | 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 | 2 | 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 | 1 | 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 | 1 | 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 | | 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 | | 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 | | 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 | | |
Bart GoethalsProfessor of Computer Science, University of AntwerpVerified email at uantwerpen.be
