Diet recommendation method based on big data analysis

A recommendation method and big data technology, applied in nutrition control and other directions, can solve the problems of small promotion scope, single user data, low degree of fit between diet and users, etc., and achieve the effect of narrowing the screening scope.

Inactive Publication Date: 2021-03-12
闫耀伟
View PDF1 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above solution can provide users with dietary reference, which can meet the user’s preferences and prevent the user from eating food that is not conducive to their own health; however, the user data referenced by the above solution is single and the recommended user is only a single user. The diet recommended by the above scheme has a low degree of fit with the user and the scope of promotion is not large; therefore, the above scheme still needs further improvement

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Diet recommendation method based on big data analysis
  • Diet recommendation method based on big data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0052] see Figure 1-Figure 2 , a diet recommendation method based on big data analysis, the diet recommendation method includes the following steps:

[0053] Step 1: The user registers and logs in through the verification information;

[0054] Step 2: Obtain the user's diet records and search records, draw the user's diet activity curve, and select the activity range according to the diet activity curve;

[0055] Step 3: Obtain the dishes within the scope of the activity, calculate the recommended value of the dishe...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a diet recommendation method based on big data analysis, relates to the technical field of diet intelligent recommendation, and solves the technical problems of inaccurate dietrecommendation and small popularization range in an existing scheme. A range analysis module is arranged, a diet activity curve is drawn through diet records and search records of a user, the activity range of the user is obtained on the basis of the diet activity curve, diet is recommended to the user on the basis of the activity range, the screening range can be narrowed, and it is guaranteed that the recommended diet better conforms to the taste of the user. According to the invention, by means of a dish recommendation module, the setting is combined with the native place and the dwellingduration of the user in the current dwelling place to recommend dishes to the user, so that the dishes can be pushed to the user more accurately; in addition, a data interaction module is set, and thedata interaction module carries out the deep pushing of the dish screening range and the dish screening graph through the relation between a contact person and a user, thereby facilitating the distribution of excellent dishes to proper users.

Description

technical field [0001] The invention belongs to the technical field of diet intelligent recommendation, relates to big data technology, and specifically relates to a diet recommendation method based on big data analysis. Background technique [0002] With the improvement of living standards, people pay more and more attention to health, and diet, as an indispensable part of people's daily life, will have a great impact on health. If the diet is reasonable, it can improve the immunity of people's body and prevent the occurrence of diseases; if the diet is not proper, it is easy to cause diseases, and even lead to the aggravation of diseases. [0003] The invention patent with the publication number CN110931110A provides a diet recommendation method and its equipment. The diet recommendation method includes: obtaining the type of dishes and the dish information of each dish; obtaining the user's diet information, the diet information includes dietary attention Items, diet rec...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/60
CPCG16H20/60
Inventor 闫耀伟
Owner 闫耀伟
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap