Tobias Vente

According to our database, Tobias Vente authored at least 17 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

The Potential of AutoML for Recommender Systems.

Tobias Vente, Lukas Wegmeth, Joeran Beel

Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

Checky, the Paper-Submission Checklist Generator for Authors, Reviewers and LLMs.

Joeran Beel, Bela Gipp, Dietmar Jannach, Alan Said, Lukas Wegmeth, Tobias Vente

Proceedings of the Advances in Information Retrieval, 2025

2024

Green Recommender Systems: A Call for Attention.

Joeran Beel, Alan Said, Tobias Vente, Lukas Wegmeth

SIGIR Forum, December, 2024

e-Fold Cross-Validation for Recommender-System Evaluation.

Moritz Baumgart, Lukas Wegmeth, 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

Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance.

Ardalan Arabzadeh, Tobias Vente, Joeran Beel

CoRR, 2024

EMERS: Energy Meter for Recommender Systems.

Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel

CoRR, 2024

Ensemble Boost: Greedy Selection for Superior Recommender Systems.

Zainil Mehta, Tobias Vente

CoRR, 2024

The Potential of AutoML for Recommender Systems.

Tobias Vente, Joeran Beel

CoRR, 2024

Greedy Ensemble Selection for Top-N Recommendations.

Tobias Vente, Zainil Mehta, Lukas Wegmeth, Joeran Beel

Proceedings of the Workshop Design, 2024

Removing Bad Influence: Identifying and Pruning Detrimental Users in Collaborative Filtering Recommender Systems.

Philipp Meister, Lukas Wegmeth, Tobias Vente, Joeran Beel

Proceedings of the Workshop Design, 2024

Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets.

Lukas Wegmeth, Tobias Vente, Joeran Beel

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

From Clicks to Carbon: The Environmental Toll of Recommender Systems.

Tobias Vente, Lukas Wegmeth, Alan Said, Joeran Beel

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems.

Lukas Wegmeth, Tobias Vente, Lennart Purucker

Proceedings of the Advances in Information Retrieval, 2024

2023

The Effect of Random Seeds for Data Splitting on Recommendation Accuracy.

Lukas Wegmeth, Tobias Vente, Lennart Purucker, Joeran Beel

Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit.

Tobias Vente, Michael D. Ekstrand, Joeran Beel

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Advancing Automation of Design Decisions in Recommender System Pipelines.

Tobias Vente

Proceedings of the 17th ACM Conference on Recommender Systems, 2023