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Data Skeptic
VetenskapTeknologi

Eco-aware GNN Recommenders

45 min•30 augusti 2025

In this episode of Data Skeptic, we dive into eco-friendly AI with Antonio Purificato, a PhD student from Sapienza University of Rome. Antonio discusses his research on "EcoAware Graph Neural Networks for Sustainable Recommendations" and explores how we can measure and reduce the environmental impact of recommender systems without sacrificing performance.

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Disentanglement and Interpretability in Recommender Systems
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Collective Altruism in Recommender Systems
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Niche vs Mainstream
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Healthy Friction in Job Recommender Systems
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Fairness in PCA-Based Recommenders
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Video Recommendations in Industry
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Eye Tracking in Recommender Systems
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Cracking the Cold Start Problem
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Designing Recommender Systems for Digital Humanities
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