Lien Michiels

Joined

August 2023

Names

Lien Michiels (Preferred)

Emails

****@gmail.com (Confirmed)

****@uantwerpen.be (Confirmed)

Personal Links

Career & Education History

PhD student

University of Antwerp (uantwerpen.be)

2019 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Bart Goethals

Present

Coworker

Olivier Jeunen

Present

Expertise

recommender systems

Present

diversity

Present

computational social science

Present

testing

Present

evaluation

Present

Publications

A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms
Lien Michiels, Robin Verachtert, Andres Ferraro, Kim Falk, Bart Goethals
- 03 Oct 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance
Robin Verachtert, Jeroen Craps, Lien Michiels, Bart Goethals
- Published: 01 Jan 2023, Last Modified: 03 Oct 2023
- ECIR (2) 2023
- Readers: Everyone
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
- Published: 01 Jan 2023, Last Modified: 03 Oct 2023
- RecSys 2023
- Readers: Everyone
NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems
Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Alain Starke, Nava Tintarev, Jordi Viader Guerrero
- Published: 01 Jan 2023, Last Modified: 03 Oct 2023
- RecSys 2023
- Readers: Everyone
Abstract: Should Algorithm Evaluation Extend to Testing? We Think So
Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals
- Published: 01 Jan 2022, Last Modified: 03 Oct 2023
- Perspectives@RecSys 2022
- Readers: Everyone
An Interpretable Model for Collaborative Filtering Using an Extended Latent Dirichlet Allocation Approach
Florian Wilhelm, Marisa Mohr, Lien Michiels
- Published: 01 Jan 2022, Last Modified: 03 Oct 2023
- FLAIRS 2022
- Readers: Everyone
RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data
Lien Michiels, Robin Verachtert, Bart Goethals
- Published: 01 Jan 2022, Last Modified: 03 Oct 2023
- RecSys 2022
- Readers: Everyone
Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window
Robin Verachtert, Lien Michiels, Bart Goethals
- Published: 01 Jan 2022, Last Modified: 03 Oct 2023
- Perspectives@RecSys 2022
- Readers: Everyone
What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work
Lien Michiels, Jens Leysen, Annelien Smets, Bart Goethals
- Published: 01 Jan 2022, Last Modified: 03 Oct 2023
- UMAP (Adjunct Publication) 2022
- Readers: Everyone
Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design
Annelien Smets, Lien Michiels, Toine Bogers, Lennart Björneborn
- Published: 01 Jan 2022, Last Modified: 03 Oct 2023
- IntRS@RecSys 2022
- Readers: Everyone

Lien Michiels

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors