Nutrition diet recommendation method based on personal characteristic

A recommendation method and diet technology, applied in the recommendation field of user diet model, can solve the problems of user health hazards, waste of user time, etc., and achieve the effect of improving physical condition

Inactive Publication Date: 2018-06-22
昆明亿尚科技有限公司
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  • Abstract
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Problems solved by technology

If the suggested recipe is probably not suitable for the user, it will not only waste the user's time, but may even cause harm to the user's health

Method used

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  • Nutrition diet recommendation method based on personal characteristic

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Embodiment Construction

[0015] The technology adopted in the present invention is machine learning and deep learning technology. The specific implementation is described as follows: through relevant channels, a large amount of personal physical characteristics information and dietary information of people in different situations are collected, and their corresponding recommended dietary intake information is recommended. Divide these data into two parts, one part is used as a training set, the information of personal physical characteristics and diet information in the training set is used as the input of the model, and the corresponding recommended dietary intake information is used as the output, and the activation function of the model is defined and After the number of layers, after continuous learning and training, the weight of the diet model is obtained; another part of the data is used as a test set to verify the accuracy of the diet model; after that, after detailed adjustment and optimizatio...

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Abstract

The invention discloses a nutrition diet recommendation method based on a personal characteristic. The method comprises the following steps of step (1), acquiring the personal characteristic information and the diet record of a user; step (2), according to data in the step (1), calculating the nutrition degree and the health state of the user; step (3), according to information acquired from the step (1) and the step (2), constructing the diet model of the user; and step (4), combining a food nutrition database, and recommending nutrition diet information which is suitable for user physique tothe user according to the processing result of the diet model of the user. In the invention, the personal characteristic of the user is combined, based on data detection and intelligent analysis, adiet content suitable for the user is recommended to the user in a targeted mode, and help and a guidance are provided for the user to carry out healthy diet; and recommended diet suggestion matchingis scientific and reasonable, and the method can be widely applied to daily lives.

Description

technical field [0001] The present invention relates to various fields such as medical diet, machine learning, deep learning, etc., especially a method for recommending a user's diet model based on machine learning and deep learning. Background technique [0002] With the improvement of living conditions and living standards, what people pursue is not only to eat "full", but also to eat "good", and the awareness of nutrition has been greatly enhanced. But in the face of many kinds of food, how to choose the food that suits you to meet the real needs of your body has become a difficult problem. At present, there are many websites about diet recommendation are slowly emerging in China. They show users a lot of diet information and knowledge about nutrition and health, and provide users with some help and advice on how to choose a nutritious diet. However, these recommendations and websites There are also certain limitations. It only recommends some nutritious foods and diet r...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/60
Inventor 刘昱李源汪奇范超邸文华
Owner 昆明亿尚科技有限公司
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