Lien Michiels

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Latent Topic Models

Collaborative Filtering

Information Access

Top Venues

Perspectives@RecSys

UMAP (Adjunct Publication)

Publications

Johannes Kruse, Lien Michiels, Alain Starke, Nava Tintarev, Sanne Vrijenhoek
NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems. CHIIR (2024)
Lien Michiels, Robin Verachtert, Andres Ferraro, Kim Falk, Bart Goethals
A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms. Trans. Recomm. Syst. 2 (1) (2024)
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
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum 57 (1) (2023)
Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Alain Starke, Nava Tintarev, Jordi Viader Guerrero
NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems. RecSys (2023)
Robin Verachtert, Jeroen Craps, Lien Michiels, Bart Goethals
The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance. ECIR (2) (2023)
Lien Michiels, Jorre T. A. Vannieuwenhuyze, Jens Leysen, Robin Verachtert, Annelien Smets, Bart Goethals
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. RecSys (2023)
Lien Michiels, Robin Verachtert, Bart Goethals
RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data. RecSys (2022)
Florian Wilhelm, Marisa Mohr, Lien Michiels
An Interpretable Model for Collaborative Filtering Using an Extended Latent Dirichlet Allocation Approach. FLAIRS (2022)
Annelien Smets, Lien Michiels, Toine Bogers, Lennart Björneborn
Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design. IntRS@RecSys (2022)
Robin Verachtert, Lien Michiels, Bart Goethals
Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window. Perspectives@RecSys (2022)
Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals
Abstract: Should Algorithm Evaluation Extend to Testing? We Think So. Perspectives@RecSys (2022)
Lien Michiels, Jens Leysen, Annelien Smets, Bart Goethals
What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work. UMAP (Adjunct Publication) (2022)