We are thrilled that 8 of our 11 submissions to the 18th ACM Recommender-Systems Conference and Workshops (RobustRecSys and RecSoGood) were accepted for publication. Our research was conducted jointly with partners from the University of Gothenburg (Alan Said), the University of Antwerpen (Lien Michiels), and some excellent Bachelor and Master students whose theses we supervised (Ardalan Arabzadeh; Philipp Meister; Mehta Zainil; Moritz Baumgart; Steffen Schulz). The students went far beyond what one could expect from students working on a thesis project. Therefore, a special thanks and congratulations to these students!

The accepted publications are:

Full Paper: Vente, Tobias; Wegmeth, Lukas; Said, Alan; Beel, Joeran. From Clicks to Carbon: The Environmental Toll of Recommender Systems. In: Proceedings of the 18th ACM Conference on Recommender Systems (ACM RecSys), 2024.

LBR: Beel, Joeran; Michiels, Lien; Wegmeth, Lukas. Informed Dataset-Selection with Algorithm Performance Spaces. In: 18th ACM Conference on Recommender Systems (ACM RecSys), 2024.

LBR: Wegmeth, Lukas; Vente, Tobias; Beel, Joeran. Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets. In: 18th ACM Conference on Recommender Systems (ACM RecSys), 2024.

Workshop: Arabzadeh, Ardalan; Vente, Tobias; Beel, Joeran. Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance. In: International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood) at the 18th ACM Conference on Recommender Systems (ACM RecSys), 2024.

Workshop: Wegmeth, Lukas; Vente, Tobias; Said, Alan; Beel, Joeran. EMERS: Energy Meter for Recommender Systems. In: International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood) at the 18th ACM Conference on Recommender Systems (ACM RecSys), 2024.

Workshop: Baumgart, Moritz; Wegmeth, Lukas; Vente, Tobias; Beel, Joeran e-Fold Cross-Validation for Recommender-System Evaluation. In: International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood) at the 18th ACM Conference on Recommender Systems (ACM RecSys), 2024.

Workshop: Meister, Philipp; Wegmeth, Lukas; Vente, Tobias; Beel, Joeran. Removing Bad Influence: Identifying and Pruning Detrimental Users in Collaborative Filtering Recommender Systems. In: RobustRecSys Workshop at the 18th ACM Conference on Recommender Systems (ACM RecSys), 2024.

Workshop: Vente, Tobias; Mehta, Zainil; Wegmeth, Lukas; Beel, Joeran. Greedy Ensemble Selection for Top-N Recommendations. In: RobustRecSys Workshop at the 18th ACM Conference on Recommender Systems (ACM RecSys), 2024.


Joeran Beel

Please visit https://isg.beel.org/people/joeran-beel/ for more details about me.

0 Comments

Leave a Reply

Avatar placeholder

Your email address will not be published. Required fields are marked *