Dietary recipe recommendation and selection system and usage method

Abstract

Disclosed in the present invention is a usage method for a dietary recipe recommendation and selection system. A recipe requirement and menu recommendation module intelligently classifies all menus. After entering the module, a user selects options according to gender, age, likes, dislikes, diseases in disease classifications, and postoperative diets, then inputs his / her name, and clicks to search for a diet suitable for the user. The method is also suitable for self-organized multi-person groups. Each diet is unique and special. Users can choose to purchase takeout or prepare diets recommended in recipes themselves. Whether the diets are takeout or homemade, the diets are uniformly displayed. The diet of each user is independently displayed and corresponds to the name of the user. By means of the present invention, a corresponding dietary recipe recommendation can be provided according to the physical condition of a user, and popular science knowledge is provided in a targeted manner, thereby improving the physical quality of the user and assisting in rapid recovery of the user; and a short-term recipe and a long-term recipe can be provided according to the requirements of the user, thus making it convenient for the user to adjust the recipe as required in a timely manner while allowing the user to enjoy "once for all" convenience.

Description

A dietary recipe recommendation and selection system and usage method Technical Field

[0001] The present invention relates to the technical field of recipes, and in particular to a dietary recipe recommendation and selection system and a method for using the same. Background Art

[0002] In modern society, busy schedules often leave people with little time to choose a diet that suits their current health. This can lead to nutritional deficiencies in one or more nutrients, or excesses in one or more. Malnutrition or overnutrition can easily worsen physical conditions and lead to various illnesses. Furthermore, existing dietary systems fail to recommend appropriate diets tailored to the user's health status to improve physical fitness.

[0003] Therefore, a dietary recipe recommendation and selection system and a method for using the system have become issues that need to be urgently addressed. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a dietary recipe recommendation and selection system and a method for using the system, which can reasonably provide corresponding dietary recipes according to the user's physical condition.

[0005] In order to solve the above technical problems, the present invention provides a technical solution: a dietary recipe recommendation and selection system, comprising a registration and login module, an information management module, a recipe recommendation module and a science popularization module;

[0006] The registration and login module records the user's account and password information and verifies the user's identity;

[0007] The information management module collects user personal information, and the information management module includes a group module and a personal module. The group module records the user's personal information and data and the mutual communication information between groups of multiple people, and the personal module records the user's personal data; for large groups of users, corresponding diet recipes are made according to different age groups, gender, different functions, diabetic diet, and hypertension diet.

[0008] The recipe recommendation module includes a variety of recipes to provide users with recipe selection, which includes multiple selection modes, including gender, age, likes, dislikes, postoperative recovery diet, disease auxiliary treatment, functional diet, and vitamin diet;

[0009] The popular science module collects popular science knowledge of various diseases and health knowledge of each recipe and displays them in detail after the corresponding recipe.

[0010] Furthermore, the group module is constructed through user's independent selection and includes personal information of each group member, including gender, age, favorite food, disliked food, diet for illness, diet for postoperative recovery, functional diet, and vitamin diet.

[0011] Furthermore, the recipe recommendation module intelligently categorizes recipes. Users enter their gender, age, likes, dislikes, diseases categorized by disease, and post-operative diet. Then, they enter their name. Each person is automatically assigned a diet based on the above requirements. Individuals, families, and groups can each enter their own name and click to search for a diet suitable for them. Small groups are also possible. Each diet is unique and proprietary. Once prepared, it displays the same recipes as for takeout or homemade meals, but each individual's diet is displayed, corresponding to their name.

[0012] Furthermore, an information sharing unit is provided in the group module, and the information sharing unit combines all the information to provide a unified recipe suitable for each person.

[0013] Furthermore, the recipe recommendation module automatically selects the user's favorite foods and removes the user's disliked foods based on the personal information collected by the information management module, and makes selections based on the user's own situation in combination with the above classification.

[0014] Furthermore, the recipe recommendation module includes a long-term recommendation module and a short-term recommendation module. The long-term recommendation module recommends three meals a day recipes to the user and cycles regularly, while the short-term recommendation module recommends recipes only once according to user needs.

[0015] Furthermore, a shopping link is provided in the recipe recommendation module, and the shopping link is interconnected with the data of the online shopping platform and automatically jumps to the shopping platform through the shopping link to purchase the ingredients corresponding to the recipe.

[0016] A method for using a dietary recipe recommendation and selection system. The recipe requirement and recipe recommendation module intelligently classifies each recipe. After the user enters the module, the user enters the gender, age, likes, dislikes, diseases in the disease classification, and postoperative diet, and then enters the name. Each person defaults to the above needs and suitable diet, and the individual is mainly based on one person; a family group enters their own name and clicks to search for a diet that suits them; the same is applicable to self-organized multi-person groups, each diet is unique and proprietary, and users choose to buy takeout or make the diet recommended by the recipe by themselves. The diet is displayed uniformly for takeout or self-made, and each person's diet is displayed separately, corresponding to their name.

[0017] The advantages of the present invention compared with the existing technology are: the present invention can provide dietary recipes suitable for everyone for families, relatives and friends, etc., to facilitate healthy eating for the family; it can provide corresponding dietary recipe recommendations based on the user's physical condition, and provide targeted popular science knowledge to improve the user's physical fitness and assist them in rapid recovery; it can provide short-term recipes and long-term recipes according to user needs, which is convenient for users to make timely adjustments according to their needs and also convenient for them to "solve the problem once and for all." BRIEF DESCRIPTION OF THE DRAWINGS

[0018] FIG1 is a system framework diagram of a dietary recipe recommendation and selection system of the present invention. DETAILED DESCRIPTION

[0019] The following is a further detailed description of a dietary recipe recommendation and selection system and a method of use of the present invention in conjunction with the accompanying drawings.

[0020] The present invention will be described in detail with reference to FIG1 .

[0021] A dietary recipe recommendation and selection system comprises a registration and login module, an information management module, a recipe recommendation module and a popular science module; the registration and login module records the user's account and password information and verifies the user's identity; the information management module records the user's personal information, and the information management module comprises a group module and a personal module, the group module records the user's personal information and data and the information exchanged between them in groups of multiple people, and the personal module records the user's personal data; the recipe recommendation module collects a variety of recipes to provide users with recipe selection, and the selection includes multiple selection modes, specifically including gender, age, likes, dislikes, postoperative recovery diet, disease auxiliary treatment, functional diet, and vitamin diet; the popular science module collects popular science knowledge of individual diseases and health knowledge of each recipe and displays them in detail after the corresponding recipe.

[0022] The group module is built through user selection and includes the personal information of each group member, including gender, age, food preferences, food dislikes, medical conditions, postoperative recovery diet, functional diet, and vitamin-rich diet. The group module also includes an information sharing unit that combines everyone's information to provide a unified menu tailored to each person.

[0023] The recipe recommendation module automatically selects the user's favorite foods and removes their disliked foods based on the personal information collected by the information management module. It then provides recipes based on the user's aforementioned categories and recipe needs. The recipe recommendation module consists of a long-term and short-term recommendation module. The long-term module recommends three daily meals and recycles them regularly, while the short-term module recommends recipes only once, based on user needs. The recipe recommendation module includes a shopping link, which is interconnected with data from online shopping platforms and automatically redirects users to the shopping platform to purchase the corresponding ingredients. Recipes include text recipes and video production instructions.

[0024] A method for using a dietary recipe recommendation and selection system. The recipe requirement and recipe recommendation module intelligently classifies each recipe. After the user enters the module, the user enters the gender, age, likes, dislikes, diseases in the disease classification, and postoperative diet, and then enters the name. Each person defaults to the above needs and suitable diet, and the individual is mainly based on one person; a family group enters their own name and clicks to search for a diet that suits them; the same is applicable to self-organized multi-person groups, each diet is unique and proprietary, and users choose to buy takeout or make the diet recommended by the recipe by themselves. The diet is displayed uniformly for takeout or self-made, and each person's diet is displayed separately, corresponding to their name.

[0025] The specific implementation process of the dietary recipe recommendation and selection system and the method of use of the present invention is as follows:

[0026] Users register and log in to the system through the registration and login module, and enter their personal information through the information management module. If it is for group use, the group organization is built through the group module, and the personal information of each user in the group is shared through the information sharing unit. The system makes intelligent choices based on the information of each user in the group and recommends shared recipes suitable for all in the group. The group can be customized as a family group, a group of relatives and friends, a party group, etc.

[0027] Each user edits and saves corresponding information based on gender, age, likes, dislikes, diseases, postoperative diet, functional diet, and vitamin diet. The system automatically records the relevant information and uses it as a basis to generate a recipe for each person.

[0028] The recipe recommendation module intelligently classifies each recipe. After entering the module, the user enters the name based on gender, age, likes, dislikes, diseases in the disease classification, and postoperative diet. Each person defaults to the above needs and suitable diet. Individuals are mainly one person, and a family group can enter their own name and click to search for a diet that suits them. A small group is also acceptable. Each diet is unique and proprietary. After it is made, the diet will be displayed uniformly regardless of whether it is taken out or made by yourself, but each person's diet will be displayed corresponding to their name.

[0029] For some diseases and postoperative recovery diets that do not have corresponding recipes, the system will find the corresponding diet and eliminate the dietary taboos that are mutually beneficial or counterproductive to make a reasonable menu.

[0030] For large groups of users, corresponding diet recipes are made based on different age groups, gender, different functions, diabetic diet, and hypertension diet.

[0031] Before the system generates a recipe, it generates a recipe with the corresponding expected expenditure based on the personal information entered by the user, that is, personal income and expected expenditure, to ensure that the user's food expenses are in line with their expectations.

[0032] The popular science module includes popular science information on each recipe and various diseases, and displays the health benefits of each recipe after the recipe. At the same time, when the user selects the disease they suffer from, the treatment plan and related knowledge of the disease are displayed.

[0033] Before users select a recipe, they can make corresponding time selections through the long-term recommendation module or the short-term recommendation module according to their personal circumstances. The long-term recommendation module can assist users in making long-term recipe recommendations, and its duration can be set by the user. After the expiration, it can be automatically closed one day in advance or manually renewed. The short-term recommendation module includes recommendations for each meal or a single day. The recommendation for each meal only recommends the suggested recipe for that meal, and the daily recommendation recommends the recipes for three meals of the day, so that users can make short-term choices based on their needs.

[0034] After the user selects a recipe, he or she can purchase ingredients through the system's internal shopping platform, which includes cost estimates, and the merchant determines the profit margin and calculates the corresponding price. At the same time, users can also jump to the corresponding shopping platform through the shopping link to purchase ingredients, thus realizing online shopping of ingredients. The shopping platform can choose to cooperate with an existing takeaway platform; users can also purchase ingredients offline independently.

[0035] The present invention and its embodiments are described above. This description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if a person skilled in the art is inspired by this and, without departing from the purpose of the present invention, designs structures and embodiments similar to this technical solution without inventiveness, they shall fall within the scope of protection of the present invention.

Claims

1. A dietary recipe recommendation and selection system, characterized in that: It includes registration and login module, information management module, recipe recommendation module and popular science module; The registration and login module records the user's account and password information and verifies the user's identity; The information management module collects user personal information. The information management module includes a group module and a personal module. The group module records the user's personal information and data as a group of multiple people and the information they communicate with each other. The personal module records the user's personal data. The recipe recommendation module collects a variety of recipes to provide users with recipe selections, which include multiple selection modes, including gender, age, likes, dislikes, postoperative recovery diet, disease auxiliary treatment, functional diet, vitamin diet; for large group users, the recipe recommendation module combines gender, different functions, diabetes diet, and hypertension diet with different age groups to make corresponding diet recipes; The popular science module collects popular science knowledge of various diseases and health knowledge of each recipe and displays them in detail after the corresponding recipe.

2. A dietary recipe recommendation and selection system according to claim 1, characterized in that: The recipe recommendation module automatically selects the user's favorite foods and removes the user's disliked foods based on the personal information collected by the information management module, and provides corresponding recipes based on the user's classification and recipe requirements.

3. A dietary recipe recommendation and selection system according to claim 2, characterized in that: The recipe recommendation module includes a long-term recommendation module and a short-term recommendation module. The long-term recommendation module recommends three meals a day recipes for the user and cycles regularly, while the short-term recommendation module recommends recipes only once according to user needs.

4. A dietary recipe recommendation and selection system according to claim 3, characterized in that: The recipe recommendation module is provided with a shopping link, which is interconnected with the online shopping platform data and automatically jumps to the shopping platform through the shopping link to purchase the ingredients corresponding to the recipe.

5. A dietary recipe recommendation and selection system according to claim 4, characterized in that: The recipe includes a text recipe and video production instructions.

6. A method for using a dietary recipe recommendation and selection system, characterized in that: The recipe requirement and recipe recommendation module intelligently classifies each recipe. After the user enters the module, they enter their gender, age, likes, dislikes, diseases in the disease classification, and postoperative diet, and then enter their name. Each person defaults to the above needs and the suitable diet, and the individual is mainly based on one person; a family group each enters their own name and clicks to search for a diet that suits them; the same applies to self-formed multi-person groups. Each diet is unique and exclusive. Users can choose to buy takeout or make the diet recommended by the recipe by themselves. The diet is displayed uniformly for takeout or self-made, and each person's diet is displayed separately, corresponding to their name.

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