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Robin Verachtert
Robin Verachtert
DPG Media
Verified email at dpgmedia.be
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
Perspectives@ RecSys, 2022
132022
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
112022
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
22024
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
22023
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
12023
A Neighbourhood-based Location-and Time-aware Recommender System.
L Feremans, R Verachtert, B Goethals
ORSUM@ RecSys, 2022
12022
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: Thesis
R Verachtert
2023
Temporal dynamics in online recommender systems
R Verachtert
University of Antwerp, 2023
2023
Analyzing Recommender Systems Using Recommendation Rules
R Verachtert
Universiteit Antwerpen, 2017
2017
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Articles 1–10