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cs.IR2026
Eco-Amazon: Enriching E-commerce Datasets with Product Carbon Footprint for Sustainable Recommendations
Giuseppe Spillo, Allegra De Filippo, Cataldo Musto +2
In the era of responsible and sustainable AI, information retrieval and recommender systems must expand their scope beyond traditional accuracy metrics to incorporate environmental…
cs.IR2026
Binge Watch: Reproducible Multimodal Benchmarks Datasets for Large-Scale Movie Recommendation on MovieLens-10M and 20M
Giuseppe Spillo, Alessandro Petruzzelli, Cataldo Musto +3
As Multimodal Recommender Systems gain interest, high-quality datasets with multimedia side information have become essential. However, much of the current literature reports exper…