Lien Michiels

According to our database, Lien Michiels authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms.

Lien Michiels, Robin Verachtert, Andres Ferraro, Kim Falk, Bart Goethals

Trans. Recomm. Syst., March, 2024

NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems.

Johannes Kruse, Lien Michiels, Alain Starke, Nava Tintarev, Sanne Vrijenhoek

Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2024

2023

Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education.

Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel

SIGIR Forum, June, 2023

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

Proceedings of the 17th ACM Conference on Recommender Systems, 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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance.

Robin Verachtert, Jeroen Craps, Lien Michiels, Bart Goethals

Proceedings of the Advances in Information Retrieval, 2023

2022

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

Lien Michiels, Jens Leysen, Annelien Smets, Bart Goethals

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

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

Robin Verachtert, Lien Michiels, Bart Goethals

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022 co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

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

Annelien Smets, Lien Michiels, Toine Bogers, Lennart Björneborn

Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

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

Lien Michiels, Robin Verachtert, Bart Goethals

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Abstract: Should Algorithm Evaluation Extend to Testing? We Think So.

Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022 co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

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

Florian Wilhelm, Marisa Mohr, Lien Michiels

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022