健康意识营养推荐系统

2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2019-11-01 DOI:10.1109/ISKE47853.2019.9170432

R. Y. Toledo, L. Martínez

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引用次数: 2

摘要

个性化营养已被确定为解决当今几种非传染性疾病(如2型糖尿病、高血压和癌症)的相关方法。考虑到个性化，目前的贡献集中在提出一个每日菜单推荐系统，使用营养知识来保证营养适宜的食物的建议，以及管理用户以前的偏好，以建议过去喜欢的食物。该提案还纳入了一种基于多种标准的决策分析方法，以筛选不适当的食物。最后，贡献包括一个案例研究，以评估该提案的绩效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Health-Awareness Nutrition Recommender System

Personalized nutrition has been identified as a relevant way for tackling nowadays several non-communicable diseases like type 2 diabetes, hypertension, and cancer. Keeping in mind personalization, the current contribution is focused on proposing a daily menu recommender system using nutritional knowledge for guaranteeing the suggestion of nutritionally appropriated foods, as well as managing the users’ previous preferences in order to suggest foods preferred in the past. The proposal also incorporates a decision analysis approach based on multiple criteria to screen inappropriate foods. Finally, the contribution includes a case study to evaluate the performance of the proposal.

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2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

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