Publications

Serendipity in Recommender Systems Beyond the Algorithm: A Feature Repository and Experimental Design

Annelien Smets, Lien Michiels, Toine Bogers, Lennart Björneborn

September 2022 IntRS 2022

PDF

Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window 🏆

Robin Verachtert, Lien Michiels, Bart Goethals

September 2022 PERSPECTIVES 2022

Best Paper at PERSPECTIVES 2022

PDF

RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data 🏆

Lien Michiels, Robin Verachtert, Bart Goethals

September 2022 RecSys ‘22

Best Demo at RecSys ‘22

DOI

What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work

Lien Michiels, Jens Leysen, Annelien Smets, Bart Goethals

July 2022 UMAP ‘22 Adjunct

DOI

An Interpretable Model for Collaborative Filtering Using an Extended Latent Dirichlet Allocation Approach

Florian Wilhelm, Marisa Mohr, Lien Michiels

May 2022 FLAIRS-35

We propose an interpretable matrix factorization method that is inspired by LDA.

DOI