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Presenting a model based on social network analysis in order to offer a diet to users proper to their mood

机译:提出基于社交网络分析的模型,以便为适合自己情绪的用户提供饮食

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This study presents a model offering people which food is healthier and makes them more satisfied based on their moods and food consumption behaviors. The social network analysis techniques are applied on the food consumption of the people whom were recorded in information systems. The implementation method is according to this procedure: first, people classified to 6 groups based on their nutrition style getting from the Islamic traditional medicine and some previous papers in the modern medicine. Then, a data network was made from people's relationships. Afterwards, a model has been presented based on the analysis of that network. To evaluate this model, the proposed method is applied on a university's self-service restaurant system. The results show that people with a healthy or "hot and wet" temperament nutrition style, have personality traits of "extraversion", "openness" and "conscientiousness". Moreover, people with a traditional nutrition style or "cold and wet" temperament nutrition, are people with personality traits of "introversion" and "neuroticism".
机译:这项研究提出了一个模型,可为人们提供哪种食物更健康,并根据他们的情绪和食物消费行为使他们更加满意。社交网络分析技术应用于信息系统中记录的人们的食物消费。实施方法是按照此程序进行的:首先,根据人们从伊斯兰传统医学和现代医学中的一些论文获得的营养风格将他们分为6类。然后,从人们的关系中建立了一个数据网络。之后,基于对该网络的分析,提出了一个模型。为了评估该模型,将所提出的方法应用于大学的自助餐厅系统。结果表明,具有健康或“湿热”气质营养风格的人具有“外向”,“开放”和“尽责”的人格特质。而且,具有传统营养风格或“冷干”气质营养的人是具有“性格内向”和“神经质”的人格特征的人。

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