Tobias Vente

28 papers A 5Journal 13Unranked 10
YearRankTypeTitle / Venue / Authors
2025 A conf
APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection.
RecSys
Tobias Vente, Michael Heep, Abdullah Abbas, Theodor Sperle, Joeran Beel, Bart Goethals
2025 J jnl
APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection.
CoRR
Tobias Vente, Michael Heep, Abdullah Abbas, Theodor Sperle, Joeran Beel, Bart Goethals
2025 — conf
Automated Learning of Software Configuration Spaces is not Easy.
SPLC (A)
Mathis Weiß, Robert Müller, Lukas Güthing, Tobias Vente, Lukas Wegmeth, Ina Schaefer, Malte Lochau
2025 — conf
Checky, the Paper-Submission Checklist Generator for Authors, Reviewers and LLMs.
ECIR (5)
Joeran Beel, Bela Gipp, Dietmar Jannach, Alan Said, Lukas Wegmeth, Tobias Vente
2025 J jnl
From AutoRecSys to AutoRecLab: A Call to Build, Evaluate, and Govern Autonomous Recommender-Systems Research Labs.
CoRR
Joeran Beel, Bela Gipp, Tobias Vente, Moritz Baumgart, Philipp Meister
2025 J jnl
Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered Personalization.
CoRR
Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
2025 — conf
The Potential of AutoML for Recommender Systems.
UMAP (Adjunct Publication)
Tobias Vente, Lukas Wegmeth, Joeran Beel
2024 — conf
EMERS: Energy Meter for Recommender Systems.
RecSoGood@RecSys
Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
2024 J jnl
EMERS: Energy Meter for Recommender Systems.
CoRR
Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
2024 J jnl
Ensemble Boost: Greedy Selection for Superior Recommender Systems.
CoRR
Zainil Mehta, Tobias Vente
2024 A conf
From Clicks to Carbon: The Environmental Toll of Recommender Systems.
RecSys
Tobias Vente, Lukas Wegmeth, Alan Said, Joeran Beel
2024 J jnl
From Clicks to Carbon: The Environmental Toll of Recommender Systems.
CoRR
Tobias Vente, Lukas Wegmeth, Alan Said, Joeran Beel
2024 J jnl
From Theory to Practice: Implementing and Evaluating e-Fold Cross-Validation.
CoRR
Christopher Mahlich, Tobias Vente, Joeran Beel
2024 — conf
Greedy Ensemble Selection for Top-N Recommendations.
RobustRecSys@RecSys
Tobias Vente, Zainil Mehta, Lukas Wegmeth, Joeran Beel
2024 J jnl
Green Recommender Systems: A Call for Attention.
SIGIR Forum
Joeran Beel, Alan Said, Tobias Vente, Lukas Wegmeth
2024 — conf
Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance.
RecSoGood@RecSys
Ardalan Arabzadeh, Tobias Vente, Joeran Beel
2024 J jnl
Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance.
CoRR
Ardalan Arabzadeh, Tobias Vente, Joeran Beel
2024 A conf
Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets.
RecSys
Lukas Wegmeth, Tobias Vente, Joeran Beel
2024 J jnl
Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets.
CoRR
Lukas Wegmeth, Tobias Vente, Joeran Beel
2024 — conf
Removing Bad Influence: Identifying and Pruning Detrimental Users in Collaborative Filtering Recommender Systems.
RobustRecSys@RecSys
Philipp Meister, Lukas Wegmeth, Tobias Vente, Joeran Beel
2024 — conf
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems.
ECIR (1)
Lukas Wegmeth, Tobias Vente, Lennart Purucker
2024 J jnl
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems.
CoRR
Lukas Wegmeth, Tobias Vente, Lennart Purucker
2024 J jnl
The Potential of AutoML for Recommender Systems.
CoRR
Tobias Vente, Joeran Beel
2024 — conf
e-Fold Cross-Validation for Recommender-System Evaluation.
RecSoGood@RecSys
Moritz Baumgart, Lukas Wegmeth, Tobias Vente, Joeran Beel
2024 J jnl
e-Fold Cross-Validation for Recommender-System Evaluation.
CoRR
Moritz Baumgart, Lukas Wegmeth, Tobias Vente, Joeran Beel
2023 A conf
Advancing Automation of Design Decisions in Recommender System Pipelines.
RecSys
Tobias Vente
2023 A conf
Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit.
RecSys
Tobias Vente, Michael D. Ekstrand, Joeran Beel
2023 — conf
The Effect of Random Seeds for Data Splitting on Recommendation Accuracy.
Perspectives@RecSys
Lukas Wegmeth, Tobias Vente, Lennart Purucker, Joeran Beel