Bart Goethals
Universiteit Antwerpen
H-index: 43
Europe-Belgium
Top articles of Bart Goethals
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A framework and toolkit for testing the correctness of recommendation algorithms | ACM Transactions on Recommender Systems | Lien Michiels Robin Verachtert Andres Ferraro Kim Falk Bart Goethals | 2024/3/7 |
Pessimistic decision-making for recommender systems | ACM Transactions on Recommender Systems | Olivier Jeunen Bart Goethals | 2023/2/8 |
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News | Lien Michiels Jorre Vannieuwenhuyze Jens Leysen Robin Verachtert Annelien Smets | 2023/9/14 | |
34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7–9, 2022, Revised Selected Papers | Toon Calders Celine Vens Jefrey Lijffijt Bart Goethals | 2023 | |
Artificial Intelligence and Machine Learning: 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7–9, 2022, Revised Selected Papers | Toon Calders Celine Vens Jefrey Lijffijt Bart Goethals | 2023 | |
Efficient pattern-based anomaly detection in a network of multivariate devices | arXiv preprint arXiv:2305.05538 | Len Feremans Boris Cule Bart Goethals | 2023/5/7 |
The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance | Robin Verachtert Jeroen Craps Lien Michiels Bart Goethals | 2023/3/17 | |
Scheduling on a budget: Avoiding stale recommendations with timely updates | Machine Learning with Applications | Robin Verachtert Olivier Jeunen Bart Goethals | 2023/3/15 |
Leveraging Sequential Episode Mining for Session-Based News Recommendation | Mozhgan Karimi Boris Cule Bart Goethals | 2023/10/21 | |
Embarrassingly shallow auto-encoders for dynamic collaborative filtering | User Modeling and User-Adapted Interaction | Olivier Jeunen Jan Van Balen Bart Goethals | 2022/9 |
What are filter bubbles really? a review of the conceptual and empirical work | Lien Michiels Jens Leysen Annelien Smets Bart Goethals | 2022/7/4 | |
Who do you think I am? Interactive User Modelling with Item Metadata | Joey De Pauw Koen Ruymbeek Bart Goethals | 2022/9/18 | |
Recpack: An (other) experimentation toolkit for top-n recommendation using implicit feedback data | Lien Michiels Robin Verachtert Bart Goethals | 2022/9/18 | |
Modelling users with item metadata for explainable and interactive recommendation | arXiv preprint arXiv:2207.00350 | Joey De Pauw Koen Ruymbeek Bart Goethals | 2022/7/1 |
Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window. | Robin Verachtert Lien Michiels Bart Goethals | 2022/9 | |
PETSC: pattern-based embedding for time series classification | Data Mining and Knowledge Discovery | Len Feremans Boris Cule Bart Goethals | 2022/5 |
A Neighbourhood-based Location-and Time-aware Recommender System. | Len Feremans Robin Verachtert Bart Goethals | 2022 | |
RASCL: a randomised approach to subspace clusters | International Journal of Data Science and Analytics | Sandy Moens Boris Cule Bart Goethals | 2022/9 |
Top-k contextual bandits with equity of exposure | Olivier Jeunen Bart Goethals | 2021/9/13 | |
Pessimistic reward models for off-policy learning in recommendation | Olivier Jeunen Bart Goethals | 2021/9/13 |
Co-Authors
