Publications

Google Scholar, ResearchGate

Conferences

1. From Clicks to Carbon: The Environmental Toll of Recommender Systems
   T. Vente, L. Wegmeth, A. Said, J. Beel. ACM RecSys’24 (Full Paper, Reproducibility Track)
   [ArXiv, code]

2. Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets.
   L. Wegmeth, T. Vente, J. Beel. ACM RecSys’24 (LBR PAPER)
   [ArXiv, code]

3. Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems
   L. Wegmeth, T. Vente, L. Purucker. ECIR’24 (Full Paper)
   [Springer, code]

4. From Theory to Practice: Implementing and Evaluating e-Fold Cross-Validation
   C. Mahlich, T. Vente, J. Beel CAIMLR’24 (Full Paper)
   [PDF, code]

5. Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit
   T. Vente, M.D. Ekstrand, J. Beel. RecSys’23 (Demo Track)
   [ACM DL, code, video]

6. Advancing Automation of Design Decisions in Recommender System Pipelines
   T. Vente. RecSys’23 (Doctoral Symposium)
   [ACM DL]

Workshops, Tutorials, Demos & Others

1. Greedy Ensemble Selection for Top-N Recommendations
   T. Vente, Z. Mehta, L. Wegmeth, J. Beel. RobustRecSys Workshop @ RecSys’24 (Full Paper)

2. Removing Bad Influence: Identifying and Pruning Detrimental Users in Collaborative Filtering Recommender Systems
   P. Meister, L. Wegmeth, T. Vente, J. Beel. RobustRecSys Workshop @ RecSys’24 (Short Paper)

3. EMERS: Energy Meter for Recommender Systems
   L. Wegmeth, T. Vente, A. Said, J. Beel. RecSoGood Workshop @ RecSys’24 (Short Paper)
   [ArXiv, code, video]

4. e-Fold Cross-Validation for Recommender-System Evaluation.
   M. Baumgart, L. Wegmeth, T. Vente, J. Beel. RecSoGood Workshop @ RecSys’24 (Short Paper)

5. Sustainable Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance
   A. Arabzadeh, T. Vente, J. Beel. RecSoGood Workshop @ RecSys’24 (Short Paper)

6. The Effect of Random Seeds for Data Splitting on Recommendation Accuracy
   L. Wegmeth, T. Vente, L. Purucker, J. Beel. PERSPECTIVES ‘23 (RecSys Workshop)
   [PDF, video]

7. The Challenges of Algorithm Selection and Hyperparameter Optimization for Recommender Systems
   L. Wegmeth, T. Vente, J.Beel COSEAL’23 (COnfiguration and SElection of ALgorithms Workshop)
   [poster]

8. The Feasibility of Greedy Ensemble Selection for Automated Recommender Systems
   T. Vente, L. Purucker, J. Beel. COSEAL’22 (COnfiguration and SElection of ALgorithms Workshop)
   [poster]