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arXiv 1409.0296cs.CY
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基于交通灯饮食的移动食品推荐系统

A Mobile Food Recommendation System Based on The Traffic Light Diet

Thienne Johnson, Jorge Vergara, Chelsea Doll, Madison Kramer, Gayathri Sundararaman, Harsha Rajendran, Alon Efrat, Melanie Hingle

摘要:

需要创新的实时解决方案来解决关键信息的需求和供应之间的不匹配,以告知和激励饮食和健康相关的行为改变。研究表明,使用移动医疗技术的干预措施在影响与能量平衡相关的知识、态度和行为方面具有很大的潜力。本文的目的是提出有关的发展和测试的移动食品推荐系统针对快餐店的见解。该系统旨在为消费者提供有关食物选择的能量密度的信息,并结合外出就餐时更健康选择的提示,可通过手机访问。

英文摘要:

Innovative, real-time solutions are needed to address the mismatch between the demand for and supply of critical information to inform and motivate diet and health-related behavior change. Research suggests that interventions using mobile health technologies hold great promise for influencing knowledge, attitudes, and behaviors related to energy balance. The objective of this paper is to present insights related to the development and testing of a mobile food recommendation system targeting fast food restaurants. The system is designed to provide consumers with information about energy density of food options combined with tips for healthier choices when dining out, accessible through a mobile phone.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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