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Robin Verachtert
Robin Verachtert
Froomle N.V.
Verified email at froomle.com
Title
Cited by
Cited by
Year
Are we forgetting something? Correctly evaluate a recommender system with an optimal training window
R Verachtert, L Michiels, B Goethals
Proceedings of the Perspectives on the Evaluation of Recommender Systems …, 2022
112022
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
82022
The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance
R Verachtert, J Craps, L Michiels, B Goethals
European Conference on Information Retrieval, 646-654, 2023
12023
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
1
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
2023
Scheduling on a budget: Avoiding stale recommendations with timely updates
R Verachtert, O Jeunen, B Goethals
Machine Learning with Applications 11, 100455, 2023
2023
Temporal dynamics in online recommender systems
R Verachtert
University of Antwerp, 2023
2023
A neighbourhood-based location-and time-aware recommender system
L Feremans, R Verachtert, B Goethals
2022
Analyzing Recommender Systems Using Recommendation Rules
R Verachtert
Universiteit Antwerpen, 2017
2017
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Articles 1–9