| 2026 | ECIR | OmniRec: The All-In-One Solution for Reproducible and Interoperable Recommender Systems Experimentation. | Lukas Wegmeth, Moritz Baumgart, Philipp Meister, Bela Gipp, Joeran Beel |
| 2025 | ECIR | Checky, the Paper-Submission Checklist Generator for Authors, Reviewers and LLMs. | Joeran Beel, Bela Gipp, Dietmar Jannach, Alan Said, Lukas Wegmeth, Tobias Vente |
| 2025 | RecSys | APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection. | Tobias Vente, Michael Heep, Abdullah Abbas, Theodor Sperle, Joeran Beel, Bart Goethals |
| 2024 | RecSys | Informed Dataset Selection with 'Algorithm Performance Spaces'. | Joeran Beel, Lukas Wegmeth, Lien Michiels, Steffen Schulz |
| 2024 | RecSys | From Clicks to Carbon: The Environmental Toll of Recommender Systems. | Tobias Vente, Lukas Wegmeth, Alan Said, Joeran Beel |
| 2024 | RecSys | Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets. | Lukas Wegmeth, Tobias Vente, Joeran Beel |
| 2023 | RecSys | Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit. | Tobias Vente, Michael D. Ekstrand, Joeran Beel |
| 2023 | RecSys | The Effect of Random Seeds for Data Splitting on Recommendation Accuracy. | Lukas Wegmeth, Tobias Vente, Lennart Purucker, Joeran Beel |
| 2022 | ICDM | Estimating the Pruned Search Space Size of Subgroup Discovery. | Lennart Purucker, Felix I. Stamm, Florian Lemmerich, Joeran Beel |
| 2022 | RecSys | CaMeLS: Cooperative Meta-Learning Service for Recommender Systems. | Lukas Wegmeth, Joeran Beel |
| 2021 | RecSys | Time-dependent Evaluation of Recommender Systems. | Teresa Scheidt, Joeran Beel |
| 2020 | RecSys | Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization. | Rohan Anand, Joeran Beel |
| 2020 | RecSys | Recommender-Systems.com: A Central Platform for the Recommender-System Community. | Joeran Beel |
| 2019 | ECIR | Preface: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR). | Joeran Beel, Lars Kotthoff |
| 2019 | ECIR | RARD II: The 94 Million Related-Article Recommendation Dataset. | Joeran Beel, Barry Smyth, Andrew Collins |
| 2019 | ECIR | Augmenting the DonorsChoose.org Corpus for Meta-Learning. | Gordian Edenhofer, Andrew Collins, Akiko Aizawa, Joeran Beel |
| 2019 | RecSys | A First Analysis of Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems. | Andrew Collins, Joeran Beel |