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Recurrent neural network-based diet recommendation system

A technology of cyclic neural network and recommendation system, which is applied in the fields of intelligent medical care, modern communication technology, and deep learning technology, and can solve problems such as unacceptable recommendations

Inactive Publication Date: 2018-02-16
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this way, it is possible to continue to recommend bitter melon and other foods for a user who eats cold food for many consecutive days, so the recommendation at this time is not advisable
The last point is that it does not make a certain analysis of the user's eating habits and make predictions about certain physical characteristics of the user in the future

Method used

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  • Recurrent neural network-based diet recommendation system

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Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0030] figure 1 is a schematic diagram of the structural composition of a diet recommendation system based on a recurrent neural network in an embodiment of the present invention, as shown in figure 1 As shown, the system includes smart terminals and cloud servers.

[0031] Specifically, the system further includes a health monitoring device, which is connected to the smart terminal for monitoring user health information, and sends packaged data information to the...

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Abstract

The invention provides a recurrent neural network-based diet recommendation system. The system comprises the steps of acquiring the basic information of a user and sending the basic information to a cloud server; generating a recommended recipe menu according to the basic information of the user; recording an actual diet recipe selected by the user according to the recommended recipe menu and thensending the actual diet recipe to the cloud server; generating a diet evaluation report according to the actual diet recipe and sending the diet evaluation report to an intelligent terminal. In the embodiment of the invention, a proper recipe is recommended for the user according to the basic information of the user. The user can be gradually guided to change bad diet habits, and the user can also be guided and supervised to execute a weight-losing plan, a blood pressure reduction plan or other plans. Therefore, the life and the diet of the user are more nutrient and healthier. The diet habitof the user is analyzed and the recipe recommendation of the user is realized based on the historical diet record information of the user. The user can intuitively know whether the user lacks a certain nutrient or not. The user can be effectively helped to change bad diet habits and diet preferences, and the eating, the living and the walking of the user can be scientifically managed.

Description

technical field [0001] The invention relates to the fields of modern communication technology, deep learning technology, and intelligent medical technology, and in particular to a diet recommendation system based on a cyclic neural network. Background technique [0002] With the development of today's social economy, people's living standards are getting higher and higher. With the improvement of living standards and the improvement of medical and health conditions, people are paying more and more attention to the health of themselves and their families. If you want to know whether your physical condition lacks certain nutrients and whether your eating habits are healthy, then diet Records become very important. Under normal circumstances, most people will choose to seek advice from a nutritionist. The nutritionist repeatedly understands the most real situation of the user's diet based on multiple dietary questionnaires, and constantly gives dietary advice based on differen...

Claims

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Application Information

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IPC IPC(8): G16H20/60
Inventor 谭鹄张有弛陆逸扉陈湘萍
Owner SUN YAT SEN UNIV
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