39 citations · 49 across the 3 of their papers we have counts for
3 papers
cs.IR2024
EMERS: Energy Meter for Recommender Systems
Lukas Wegmeth, Tobias Vente, Alan Said +1
Due to recent advancements in machine learning, recommender systems use increasingly more energy for training, evaluation, and deployment. However, the recommender systems communit…
cs.LG2024★ 10 cited
Understanding Fairness in Recommender Systems: A Healthcare Perspective
Veronica Kecki, Alan Said
Fairness in AI-driven decision-making systems has become a critical concern, especially when these systems directly affect human lives. This paper explores the public's comprehensi…
cs.IR2024★ 39 cited
From Clicks to Carbon: The Environmental Toll of Recommender Systems
Tobias Vente, Lukas Wegmeth, Alan Said +1
As global warming soars, the need to assess the environmental impact of research is becoming increasingly urgent. Despite this, few recommender systems research papers address thei…