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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:根据社交网络分析呈现模型,以便为用户提供饮食的饮食

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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:本研究提出了一种型号,提供了哪些食物更健康,并根据他们的情绪和食品消费行为使他们更满意。社会网络分析技术适用于在信息系统中记录的人的食物消费。实施方法是根据这一程序:首先,基于他们的营养风格从伊斯兰传统医学和现代医学中的一些先前纸张分类为6组的人。然后,数据网络是由人的关系进行的。之后,已经基于对该网络的分析来提出了一种模型。为了评估该模型,所提出的方法适用于大学的自助餐厅系统。结果表明,人们具有健康或“热湿润”的气质营养风格,具有“锯迁”,“开放”和“尽责”的人格特征。此外,具有传统营养风格或“冷和潮湿”的气质营养的人,是人格性状的“耕作”和“神经质”的人。

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