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一种基于知识图谱的健康饮食推荐方法研究
A Method of Recommending Healthy Diet Based on Knowledge Graph

DOI: 10.12677/HJFNS.2023.122019, PP. 152-155

Keywords: 知识图谱,健康饮食,地域差异,年龄层次,因季而食
Knowledge Graph
, Healthy Diet, Regional Differences, Age Level, Eat According to the Season

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Abstract:

本文提出了一种基于知识图谱的健康饮食推荐方法,旨在解决健康意识日益增强的人们对于健康饮食的需求。基于知识图谱的健康饮食推荐方法,主要包括以下三个方面:一是考虑地域差异,餐厅菜谱的选择需要根据不同地区的文化和气候情况进行调整;二是针对不同年龄层次结构的人群,推荐不同的菜肴和营养成分组合,以满足不同阶段的营养需求;三是考虑因季而食。不同季节食物的选择和搭配也会对健康产生不同的影响。因此,本文将季节因素纳入到健康饮食推荐中,为用户提供更加科学、全面的饮食建议。基于知识图谱的健康饮食推荐方法,与传统饮食推荐方法相比具有更好的表现。该方法能够根据用户的需求和特点,为其推荐符合健康饮食要求的菜肴,提供个性化的饮食解决方案。此外,该方法还具有良好的拓展性,可适应于不同的饮食习惯和流行病学特征。
This paper proposes a healthy diet recommendation method based on knowledge graph, which aims to address the demand of health conscious people for healthy diet. The recommendation method of healthy diet based on knowledge graph mainly includes the following three aspects: First, considering regional differences, the selection of restaurant recipes should be adjusted according to the cultural and climatic conditions of different regions; Second, for people of different age hierar-chies, different dishes and nutrient composition combinations are recommended to meet the nutri-tional needs of different stages. The third is to consider seasonal eating. Food choices and combina-tions in different seasons can also have different effects on health. Therefore, this paper incorpo-rates seasonal factors into healthy diet recommendations to provide users with more scientific and comprehensive dietary recommendations. The healthy diet recommendation method based on knowledge graph has better performance than the traditional diet recommendation method. Ac-cording to the needs and characteristics of users, the method can recommend dishes that meet the requirements of healthy diet, and provide personalized diet solutions. In addition, the method has good extensibility and can be adapted to different dietary habits and epidemiological characteris-tics.

References

[1]  迟杨. 健康饮食领域知识图谱构建与应用研究[D]: [硕士学位论文]. 吉林: 吉林大学, 2019.
[2]  袁永丽. 现代饮食营养和身体健康之间的关系及相关探讨[J]. 现代食品, 2021(9): 101-102+133.
[3]  Burkhard, R.A. (2005) To-wards a Framework and a Model for Knowledge Visualization: Synergies between Information and Knowledge Visuali-zation. Knowledge and Information Visualization LNCS, 3426, 29-42.
[4]  杨思洛, 韩瑞珍. 国外知识图谱的应用研究现状分析[J]. 情报资料工作, 2013(6): 6.
[5]  Zhang, Y., Dang, Y. and ?Hu, P. (2011) Knowledge Mapping for Rapidly Evolving Domains: A Design Science Approach. Decision Support Systems, 50, 415-427.
[6]  Helmy, T., Al-Nazer, A., Al-Bukhitan, S., et al. (2015) Health, Food and User’s Profile Ontologies for Personalized Information Retrieval. Procedia Computer Science, 52, 1071-1076.
[7]  王浩学, 王兴隆. 基于Neo4j的语言学术语知识图谱构建研究[J]. 中国科技术语, 1-9.
[8]  付雷杰, 曹岩, 白瑀, 冷杰武. 国内垂直领域知识图谱发展现状与展望[J]. 计算机应用研究, 2021, 38(11): 3201- 3214.
[9]  陈曦. 面向大规模知识图谱的弹性语义推理方法研究及应用[D]: [博士学位论文]. 杭州: 浙江大学, 2017.
[10]  吴玺煜, 陈启买, 刘海, 贺超波. 基于知识图谱表示学习的协同过滤推荐算法[J]. 计算机工程, 2018, 44(2): 226- 232+263.

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