CN106971069A - A kind of intelligent recipe recommendation system for nutrient health - Google Patents
A kind of intelligent recipe recommendation system for nutrient health Download PDFInfo
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- CN106971069A CN106971069A CN201710166221.XA CN201710166221A CN106971069A CN 106971069 A CN106971069 A CN 106971069A CN 201710166221 A CN201710166221 A CN 201710166221A CN 106971069 A CN106971069 A CN 106971069A
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Abstract
The invention discloses a kind of individualized intelligent recipe recommendation system recorded based on individual human diet.With reference to the suggestion of professional nutrition doctor, intelligence is carried out to user's dietary data, recommends personalized nutrient health recipe to user by the diet information to user's typing and specific demand for system.The characteristics of the system has personalized, professional and wide application.
Description
Technical field
The invention mainly relates to image recognition technology, machine learning, Intelligent data analysis technology, communication network technology is special
It is not machine learning and Intelligent data analysis technology.
Background technology
, can be with by machine learning and Intelligent data analysis technology in data play the digital society that greatly acts on
Data as the analysis of fast accurate and processing magnanimity, and therefrom obtain desired object content.With information technology and machine
What device learnt is developed rapidly and progressive, and recommendation service is also increasingly welcome by the common people.Pass through the intelligent recipe of nutrient health
Commending system is recommended different user to be adapted to the personalized recipe of itself, there is huge market potential in actual applications.
The content of the invention
In order to save consumer's valuable time, allow the acquisition of their quick and convenients to be adapted to the nutrient health diet of oneself and push away
Recommend, the present invention is based on machine learning techniques and Intelligent data analysis technology, propose that a kind of intelligent recipe recorded based on diet is pushed away
System is recommended, the system is believed the diet that user is inputted by cell-phone customer terminal by machine learning and Intelligent data analysis technology
Breath is recorded and analyzed, and combines the constitution status and different demands of user, and user is carried out to be adapted to own bodies state
Personalized diet recipe recommendation.In addition, the system also establishes the connection between user and doctor, known with the theory of doctor system
Know with based on rich experiences, provide the user more professional service.
In order to solve the above-mentioned technical problem, the present invention is achieved by the following technical solutions：
A kind of individualized intelligent recipe recommendation system recorded based on individual human diet, has merged image recognition technology, machine learning
Technology, Intelligent data analysis and communication network technology, the diet record based on personal user, the professional Nutriology Dept. doctor couple of joint
Individual carries out the recipe recommendation of nutrient health.Within the system, user inputs indices and the specific demand of oneself body, this
A little information are carried out by the data processing centre based on high in the clouds after comprehensive analysis and processing, can recommend to be adapted to itself to user
Diet planning, that is, intelligent recipe.
Further preferably, the drink that machine learning techniques and Intelligent data analysis technology can be provided professional Nutriology Dept. doctor
The data such as food suggestion, the individual human diet record of magnanimity carry out intelligence learning, and acquisition can provide the artificial intelligence of nutrient health recipe
Energy model, uses artificial intelligence model to provide fast and accurate recipe recommendation for personal user.
A kind of individualized intelligent recipe recommendation system recorded based on individual human diet, the system includes serving user's
Subscription client, the doctor's client for serving doctor, progress information management and the system background of system maintenance manage, enter line number
The several majors such as the data processing centre based on high in the clouds according to analysis and processing.
Further preferably, mass data is analyzed and learnt using deep learning theory, and set up pinpoint accuracy
Artificial intelligence model.
Further preferably, the subscription client of the system is the application program on mobile phone, and doctor's client is on computer
Application software, can be built after user's registration and to be exchanged with professional nutrition doctor by intelligent terminal, and storage use beyond the clouds
Family diet record and related dietary recommendation, high in the clouds intelligent recommendation system can be learnt by data, improve constantly artificial intelligence
The recommendation precision of model, provides the user the recommendation of good nutrient health recipe.
The present invention has advantages below relative to prior art：
In order to save consumer's valuable time, them are allowed the acquisition of quick and convenient to be adapted to the nutrient health dietary recommendations continued of oneself,
The present invention is based on machine learning techniques and Intelligent data analysis technology, proposes a kind of intelligent recipe recommendation system recorded based on diet
System, the system is entered by machine learning and Intelligent data analysis technology to the diet information that user is inputted by cell-phone customer terminal
Row record and analysis, and the constitution status and different demands of user are combined, to user be adapted to the individual character of own bodies state
Change diet recipe recommendation.In addition, the system also establishes the connection between user and doctor, with the knowwhy of doctor system and
Based on rich experiences, more professional service is provided the user.
Brief description of the drawings
In order to illustrate the embodiments of the present invention more clearly, simple Jie will be to the required accompanying drawing used in embodiment below
Continue, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for those of ordinary skill in the art
For, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is the intelligent recipe system architecture diagram of the present invention；
Fig. 2 is the intelligent recipe recommendation handling process system architecture diagram of the present invention；
Fig. 3 is the intelligent recipe recommendation system architecture diagram based on machine learning of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Based on this
Embodiment in invention, those of ordinary skill in the art are not under the premise of creative work is made, and what is obtained is every other
Embodiment, belongs to the scope of the present invention.
The intelligent recipe recommendation system recorded based on diet as shown in Figure 1 is made up of following components：
1）, subscription client：User is operated, and provides the user service；
2）, doctor's client：Doctor is operated, and service is provided for doctor；
3）, system background management：Keeper carries out information management and system maintenance；
4）, data processing centre based on high in the clouds：The information requirements for coming from system are processed to data, arrange, calculated
And analysis；
5）, Intelligent Information Processing module：The nucleus module of system, the intelligence of recipe is realized using machine learning framework TensorFlow
Can recommendation function.
1st, subscription client
Subscription client is the system to the cell phone software designed for family.The function of the user terminal have user's registration, User logs in,
Information management, dietary recommendations continued, obtain put question to, exchange on line, asset management, prompting are checked card, current entry, information inspection, social activity
Activity etc., wherein it is for carrying out information interchange with the doctor of doctor's client to obtain two kinds of functions of exchange on enquirement and line.With
The i.e. intelligent recipe recommendation function that can be provided by software using system after the registration of family, can also be online with the doctor of specialty
It is upper to carry out exchange inquiry or buy professional recipe Xiang doctor.Business datum of the user on subscription client is delivered to based on cloud
The data processing centre at end is analyzed and handled.
2nd, nutrition speciality doctor client
Doctor's client is the software that system designs for doctor.The function of the user terminal has user's registration, User logs in, message tube
Reason, obtain put question to, exchange, asset management etc. on line.It is for objective with user wherein to obtain two kinds of functions of exchange on enquirement and line
The user at family end carries out information interchange.Both the various functions of system can be used after doctor's registration by software, are provided the user
The diet analysis of specialty and suggestion, can also sell professional recipe to user.The business datum of doctor on the client is delivered to base
Data processing centre in high in the clouds is analyzed and handled.
3rd, system background is managed
System background management is designed to carry out system daily management and maintenance.Its function includes signal auditing, message tube
Reason, article operation etc..Keeper is managed by system background, and the information to back-end data and user is managed and increase and decrease is deleted
Change, the various functions of maintenance system are normally run；Simultaneity factor back-stage management also provides reflection system operation feelings for administrative staff
The various information of condition.
4th, the data processing centre based on high in the clouds
Data processing centre based on high in the clouds is processed, arranges, calculates and analyzed to the mass data from system, with pair
Data carry out function that is real-time, quick and accurately handling.When user and doctor are when using system, substantial amounts of business can be produced
Data, the data processing centre of these data transfers to high in the clouds is analyzed and handled, can be quickly to user and doctor
Demand carries out response.
5th, Intelligent Information Processing module
Intelligent Information Processing module is the nucleus module of the system.This module is using machine learning framework TensorFlow to big
The data of amount are analyzed and learnt, and are obtained the model of pinpoint accuracy by constantly adjusting weights and threshold value, are realized for not
With user be adapted to the recommendation function of the intelligent recipe of itself constitution.
User's operation handling process design as shown in Figure 2 is described as follows：
Application is created：
1. the application of subscription client is created
(1) user logs in the intelligent recipe recommendation system recorded based on diet by subscription client；
(2) the intelligent recipe recommendation function of user's selection；
(3) user inputs diet information and the specific demand of oneself；
(4) diet information of system of users and specific demand carry out comprehensive analysis, and right rear line recommends intelligent recipe；
(5) user buys the professional recipe of doctor；
(6) application is saved in system background data by user after submitting the application of purchase recipe, system background checking user right
In storehouse.
2. the task based on communication network platform
(1) user submits the application of purchase physician specialty recipe；
(2) after system background checking application, application is saved in database system.
Application is handled：
(1) doctor logs in the intelligent recipe recommendation system recorded based on diet by clinician user end；
(2) doctor's client obtains user's purchase physician specialty recipe by system network interface from database system
Application；
(3) doctor completes the processing of the professional recipe application of user's purchase by doctor's client；
(4) doctor's client submits application status modification information to database system, has completed the application status of processing
Change；
(5) user of subscription client obtains physician specialty recipe；
(6) in the whole life cycle of application processing, specific charging is completed by database system, deducts fees, notify and phase
Close the circulation of data and preserve business.
The handling process of model of mind as shown in Figure 3 is as follows：
(1) to user's dietary data, the isomeric data such as nutrition speciality doctor suggestion is standardized；
(2) by the data feeding volume basic unit after standardization, wherein convolution kernel uses 13X13,4X4 equidimensions；
(3) convolved data feeding batch standardization, corrects the processing such as linear unit, is finally completed the recommendation of nutritious recipe.
Using the above-mentioned desirable embodiment according to the present invention as enlightenment, by above-mentioned description, relevant staff is complete
Various changes and amendments can be carried out without departing from the scope of the technological thought of the present invention' entirely.The technology of this invention
Property scope is not limited to the content on specification, it is necessary to its technical scope is determined according to right.
Claims (5)
1. a kind of individualized intelligent recipe recommendation system recorded based on individual human diet, it is characterised in that：Image recognition is merged
Technology, machine learning techniques, Intelligent data analysis and communication network technology, the diet record based on personal user, joint is special
Industry Nutriology Dept. doctor carries out the recipe recommendation of nutrient health to individual,
Within the system, user inputs indices and the specific demand of oneself body, and these information pass through the number based on high in the clouds
After carrying out comprehensive analysis according to processing center and handle, to the subscription client of system the suitable diet of itself can be recommended to advise
Draw, that is, intelligent recipe.
2. a kind of individualized intelligent recipe recommendation system recorded based on individual human diet as claimed in claim 1, its feature is existed
In：Dietary recommendation that machine learning techniques and Intelligent data analysis technology can be provided professional Nutriology Dept. doctor, of magnanimity
The data such as human diet's record carry out intelligence learning, and acquisition can provide the artificial intelligence model of nutrient health recipe, using artificial
Model of mind provides fast and accurate recipe recommendation for personal user.
3. a kind of individualized intelligent recipe recommendation system recorded based on individual human diet, it is characterised in that：The system includes clothes
Be engaged in user subscription client, serve doctor's client of doctor, carry out the system background of information management and system maintenance
The several majors such as management, the data processing centre based on high in the clouds for carrying out data analysis and process.
4. a kind of individualized intelligent recipe recommendation system recorded based on individual human diet as claimed in claim 1, its feature is existed
In：Mass data is analyzed and learnt using deep learning theory, and sets up the artificial intelligence model of pinpoint accuracy.
5. a kind of individualized intelligent recipe recommendation system recorded based on individual human diet as claimed in claim 2, its feature is existed
In：The subscription client of the system is the application program on mobile phone, and doctor's client is the application software on computer, user's note
It can be built after volume and to be exchanged with professional nutrition doctor by intelligent terminal, and storage user diet record and correlation beyond the clouds
Dietary recommendation, high in the clouds intelligent recommendation system can be learnt by data, improved constantly the recommendation precision of artificial intelligence model, be
User provides the recommendation of good nutrient health recipe.
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| CN201710166221.XA CN106971069A (en) | 2017-03-20 | 2017-03-20 | A kind of intelligent recipe recommendation system for nutrient health |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107680652A (en) * | 2017-09-13 | 2018-02-09 | 天津大学 | A kind of nutrition dietary based on machine learning recommends and evaluation method |
| CN108009288A (en) * | 2017-12-25 | 2018-05-08 | 维沃移动通信有限公司 | Recipe method for pushing and device |
| CN108198603A (en) * | 2017-12-12 | 2018-06-22 | 昆明亿尚科技有限公司 | A kind of nutrition dietary based on personal physical examination information recommends method |
| CN108198604A (en) * | 2017-12-12 | 2018-06-22 | 昆明亿尚科技有限公司 | A kind of nutrition dietary based on personal characteristics recommends method |
| CN108630298A (en) * | 2018-05-09 | 2018-10-09 | 南京邮电大学 | Healthy diet management method and system, computer readable storage medium, terminal |
| CN110111872A (en) * | 2019-03-28 | 2019-08-09 | 北京康爱营养科技股份有限公司 | A kind of tumors of nutrients recommender system |
| CN112233772A (en) * | 2020-10-13 | 2021-01-15 | 杭州电子科技大学 | Healthy recipe recommendation system based on machine learning |
| CN116364240A (en) * | 2023-02-02 | 2023-06-30 | 复旦大学附属肿瘤医院 | Remote nutrition information processing method and system based on Internet |
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| CN105677852A (en) * | 2016-01-07 | 2016-06-15 | 陕西师范大学 | Personalized healthy diet recommendation service method |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107680652A (en) * | 2017-09-13 | 2018-02-09 | 天津大学 | A kind of nutrition dietary based on machine learning recommends and evaluation method |
| CN108198603A (en) * | 2017-12-12 | 2018-06-22 | 昆明亿尚科技有限公司 | A kind of nutrition dietary based on personal physical examination information recommends method |
| CN108198604A (en) * | 2017-12-12 | 2018-06-22 | 昆明亿尚科技有限公司 | A kind of nutrition dietary based on personal characteristics recommends method |
| CN108009288A (en) * | 2017-12-25 | 2018-05-08 | 维沃移动通信有限公司 | Recipe method for pushing and device |
| CN108630298A (en) * | 2018-05-09 | 2018-10-09 | 南京邮电大学 | Healthy diet management method and system, computer readable storage medium, terminal |
| CN110111872A (en) * | 2019-03-28 | 2019-08-09 | 北京康爱营养科技股份有限公司 | A kind of tumors of nutrients recommender system |
| CN112233772A (en) * | 2020-10-13 | 2021-01-15 | 杭州电子科技大学 | Healthy recipe recommendation system based on machine learning |
| CN116364240A (en) * | 2023-02-02 | 2023-06-30 | 复旦大学附属肿瘤医院 | Remote nutrition information processing method and system based on Internet |
| CN116364240B (en) * | 2023-02-02 | 2024-01-26 | 复旦大学附属肿瘤医院 | Remote nutrition information processing method and system based on Internet |
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