Advancing Automation of Design Decisions in Recommender System Pipelines. - Tobias Vente (RecSys, 2023)

Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit. - Tobias Vente; Michael D. Ekstrand; Joeran Beel (RecSys, 2023)

The Effect of Random Seeds for Data Splitting on Recommendation Accuracy. - Lukas Wegmeth; Tobias Vente; Lennart Purucker; Joeran Beel (Perspectives@RecSys, 2023)

Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems. - Lukas Wegmeth; Tobias Vente; Lennart Purucker (ECIR (1), 2024)

From Clicks to Carbon: The Environmental Toll of Recommender Systems. - Tobias Vente; Lukas Wegmeth; Alan Said; Joeran Beel (RecSys, 2024)

Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets. - Lukas Wegmeth; Tobias Vente; Joeran Beel (RecSys, 2024)

Removing Bad Influence: Identifying and Pruning Detrimental Users in Collaborative Filtering Recommender Systems. - Philipp Meister; Lukas Wegmeth; Tobias Vente; Joeran Beel (RobustRecSys@RecSys, 2024)

Greedy Ensemble Selection for Top-N Recommendations. - Tobias Vente; Zainil Mehta; Lukas Wegmeth; Joeran Beel (RobustRecSys@RecSys, 2024)

The Potential of AutoML for Recommender Systems. - Tobias Vente; Joeran Beel (CoRR, 2024)

Ensemble Boost: Greedy Selection for Superior Recommender Systems. - Zainil Mehta; Tobias Vente (CoRR, 2024)

EMERS: Energy Meter for Recommender Systems. - Lukas Wegmeth; Tobias Vente; Alan Said; Joeran Beel (CoRR, 2024)

Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance. - Ardalan Arabzadeh; Tobias Vente; Joeran Beel (CoRR, 2024)

From Theory to Practice: Implementing and Evaluating e-Fold Cross-Validation. - Christopher Mahlich; Tobias Vente; Joeran Beel (CoRR, 2024)

e-Fold Cross-Validation for Recommender-System Evaluation. - Moritz Baumgart; Lukas Wegmeth; Tobias Vente; Joeran Beel (CoRR, 2024)

Green Recommender Systems: A Call for Attention. - Joeran Beel; Alan Said; Tobias Vente; Lukas Wegmeth (SIGIR Forum, 2024)

Checky, the Paper-Submission Checklist Generator for Authors, Reviewers and LLMs. - Joeran Beel; Bela Gipp; Dietmar Jannach; Alan Said; Lukas Wegmeth; Tobias Vente (ECIR (5), 2025)

The Potential of AutoML for Recommender Systems. - Tobias Vente; Lukas Wegmeth; Joeran Beel (UMAP (Adjunct Publication), 2025)