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arXiv cs.AI·

Trading Engagement for Sustainability: Carbon-Aware Re-ranking for E-commerce Recommendations

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Hype
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In three linesStudy on e-commerce recommender systems incorporating product carbon footprint. Researchers estimate missing PCF via semantic search and LLM prompting, then apply post-hoc re-ranking on BPR, NeuMF, and LightGCN. On Amazon Reviews (3 categories), substantial carbon reductions achievable with minimal engagement cost.
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