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Updated: Jan 11, 2026

Studying Food Reward and Motivation in Humans
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使用强化学习对个性化食品推的人口层面分析

Yone Tellechea1, Markel Arrojo1, Ander Cejudo1,2

  • 1Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009 Donostia-San Sebastián, Spain.

Foods (Basel, Switzerland)
|November 13, 2025
PubMed
概括

这项研究通过模拟多样化的人口来优化食物建议. 深度Q网络 (DQN) 算法通过将建议定制为特定的人口统计数据,从而减少食物浪费,显著改善了消费者参与和营销机会.

关键词:
消费者偏好 消费者偏好在整个食品供应链中.食品推者系统是指食品推者系统.减少废物 减少废物

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