A Neighbourhood-based Location- and Time-aware Recommender System. - Len Feremans; Robin Verachtert; Bart Goethals (ORSUM@RecSys, 2022)

Abstract: Should Algorithm Evaluation Extend to Testing? We Think So. - Lien Michiels; Robin Verachtert; Kim Falk; Bart Goethals (Perspectives@RecSys, 2022)

RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data. - Lien Michiels; Robin Verachtert; Bart Goethals (RecSys, 2022)

Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window. - Robin Verachtert; Lien Michiels; Bart Goethals (Perspectives@RecSys, 2022)

The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance. - Robin Verachtert; Jeroen Craps; Lien Michiels; Bart Goethals (ECIR (2), 2023)

How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. - Lien Michiels; Jorre T. A. Vannieuwenhuyze; Jens Leysen; Robin Verachtert; Annelien Smets; Bart Goethals (RecSys, 2023)

Temporal dynamics in online recommender systems - Robin Verachtert (2023)

A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms. - Lien Michiels; Robin Verachtert; Andres Ferraro; Kim Falk; Bart Goethals (Trans. Recomm. Syst., 2024)