Dietary recommendation method based on typical taste of user

A recommendation method and taste technology, applied in computer-aided diet prescription/delivery, special data processing applications, instruments, etc., can solve problems that are difficult to accept, have a major impact, and consider taste, so as to achieve good health effects and promote appetite. Effect

Inactive Publication Date: 2017-03-29
ZHEJIANG UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

However, such a recording method is too troublesome. In many cases, it is difficult to meet the real needs of users by digging out the user's dietary preferences and actual physical condition.
[0005] Studies have found that food taste has a great influence on people's implementation of sci

Method used

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  • Dietary recommendation method based on typical taste of user
  • Dietary recommendation method based on typical taste of user

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Embodiment Construction

[0023] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0024] like figure 1 Shown, the present invention is based on the meal recommendation method of user's typical taste, comprises the following steps:

[0025] (1) Understand the real taste of users.

[0026] First, there are 7 typical tastes: sour, sweet, bitter, spicy, salty, greasy, and light. At the same time, five taste levels will be set for each typical taste, divided according to the 5-point system. The higher the score, the more you like it: The favorite taste (5 points), somewhat liked (4 points), acceptable (3 points), somewhat repulsive (2 points), taboo taste (1 point), in order to subdivide user taste preferences.

[0027] The mathematical representation of the user's real taste is a 7-dimensional vector, each dimension represents a typical ...

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Abstract

The invention discloses a dietary recommendation method based on the typical taste of users. The method comprises the following steps: S1, understanding the real taste of users; S2, downloading the latest food list from a cloud server, and screening the list based on the taste of the users; S3, providing a food recommendation order according to the comprehensive consideration of the current meal time, the eating preferences of the users, the recent eating times and other aspects; and S4, recording the taste feedback of the users after meals, further understanding the taste preferences and change rules of the users, making reasonable adjustment to judge the real taste of the users, and forming a healthy dietary recommendation optimization cycle. According to the dietary recommendation method disclosed by the invention, the diet can be reasonably and effectively arranged based on the typical taste of the users, a currently-acquired recipe which meets the taste of the users can be recommended to the users, so that the users can eat the food which meets their own taste, and the functions of promoting appetite, ensuring good health effect of the diet and bringing great benefits to the health of people can be achieved.

Description

technical field [0001] The invention belongs to the technical field of health management combined with mobile applications, and in particular relates to a method for recommending meals based on typical tastes of users. Background technique [0002] A healthy lifestyle is inseparable from reasonable dietary nutrition and physical activity. In today's information age, with the improvement of people's living standards, more and more people realize that it is not advisable to eat enough and eat well. is the most important. [0003] So what are the criteria for judging a good diet? For this, you can refer to the "Dietary Guidelines for Chinese Residents", which contains a lot of daily dietary recommendations for Chinese residents. However, the guide is for the public after all, and cannot be personalized. This requires a dietary recommendation method that can give priority to each user's personal preferences, combined with scientific dietary knowledge, and give targeted dietary ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG06F19/3475
Inventor 尹建伟汪骏祥李莹邓水光吴健吴朝晖
Owner ZHEJIANG UNIV
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