Tobias Vente
Ph.D. Student

Phone: +49 271 740-4235
Email: tobias.<last-name>@uni-siegen.de
Office: H-C 8318
Address: Office and postal address

Bio

Tobias Vente is a Ph.D. Student of the Intelligent Systems Group at the University of Siegen. Before joining the ISG he completed his bachelor’s – and master’s degree at the University of Siegen. In addition, Tobias took part in the University of Siegen’s exchange program and spent one year of his masters’ degree at the University of Tulsa in OK, USA.

Tobias will focus his Ph.D. on Recommender Systems (RecSys) and Automated machine learning (AutoML) research field.

Publications

2024

Wegmeth, Lukas; Vente, Tobias; Purucker, Lennart

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

In: 2024.

Abstract | Links | BibTeX

Vente, Tobias; Beel, Joeran

The Potential of AutoML for Recommender Systems Journal Article

In: arXiv, pp. 18, 2024.

Abstract | Links | BibTeX

2023

Vente, Tobias

Advancing Automation of Design Decisions in Recommender System Pipelines Proceedings Article

In: Proceedings of the 17th ACM Conference on Recommender Systems, pp. 1355-1360, 2023.

Abstract | Links | BibTeX

Vente, Tobias; Ekstrand, Michael; Beel, Joeran

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

In: Proceedings of the 17th ACM Conference on Recommender Systems, pp. 1212-1216, 2023.

Abstract | Links | BibTeX

Wegmeth, Lukas; Vente, Tobias; Beel, Joeran

The Challenges of Algorithm Selection and Hyperparameter Optimization for Recommender Systems Journal Article

In: COSEAL Workshop 2023, 2023.

Links | BibTeX

Wegmeth, Lukas; Vente, Tobias; Purucker, Lennart; Beel, Joeran

The Effect of Random Seeds for Data Splitting on Recommendation Accuracy Proceedings Article

In: Proceedings of the 3rd Perspectives on the Evaluation of Recommender Systems Workshop, 2023.

Abstract | Links | BibTeX

2022

Vente, Tobias; Purucker, Lennart; Beel, Joeran

The Feasibility of Greedy Ensemble Selection for Automated Recommender Systems Journal Article

In: COSEAL Workshop 2022, 2022.

Links | BibTeX