| 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 | SPLC | Automated Learning of Software Configuration Spaces is not Easy. | Mathis Wei, Robert Mller, Lukas Gthing, Tobias Vente, Lukas Wegmeth, Ina Schaefer, Malte Lochau |
| 2024 | ECIR | Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems. | Lukas Wegmeth, Tobias Vente, Lennart Purucker |
| 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 | Improving Recommender Systems Through the Automation of Design Decisions. | Lukas Wegmeth |
| 2023 | RecSys | The Effect of Random Seeds for Data Splitting on Recommendation Accuracy. | Lukas Wegmeth, Tobias Vente, Lennart Purucker, Joeran Beel |
| 2022 | RecSys | CaMeLS: Cooperative Meta-Learning Service for Recommender Systems. | Lukas Wegmeth, Joeran Beel |