CN109147910A - A kind of dish recommendation system and implementation method based on food materials nutritional ingredient and taste - Google Patents
A kind of dish recommendation system and implementation method based on food materials nutritional ingredient and taste Download PDFInfo
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- CN109147910A CN109147910A CN201810902309.8A CN201810902309A CN109147910A CN 109147910 A CN109147910 A CN 109147910A CN 201810902309 A CN201810902309 A CN 201810902309A CN 109147910 A CN109147910 A CN 109147910A
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- vegetable
- food materials
- taste
- user
- nutritional ingredient
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
Abstract
The invention discloses a kind of dish recommendation system and implementation method based on food materials nutritional ingredient and taste, system includes hardware components and software section, the hardware components include intelligent movable equipment and cloud server, the software section includes that the vegetable run in the intelligent movable equipment recommends APP, the intelligent movable equipment is connected with the cloud server by wireless network to carry out data interaction, the vegetable recommends APP to be used for according to user with the food materials nutritional ingredient and taste restrictive condition of the input of manual or voice mode, recommend vegetable and preparation method thereof to user with visualization interface or voice mode；The nutrition intake situation that the cloud server is used to store, manages dish information, pushes dish information to the APP, analyzes user, the present invention can help user easily to find the vegetable for not only having met nutritional condition but also having met oneself taste, thus the intake of the management idiotrophic ingredient of science.
Description
Technical field
The present invention relates to information technology field more particularly to it is a kind of based on the vegetable of food materials nutritional ingredient and taste recommend be
System and implementation method.
Background technique
As soon as China is cooking culture country very rich, since ancient times be particular about diet regimen, have it is with a long history,
Form is abundant, materials multiplicity, cooks the features such as skill is more, the national characters style of cooking is more.With the continuous improvement of people's living standards,
The dietetic variety usually touched is dazzling, but the people that nowadays the younger generation in society will not cook has very much, Ren Menye
Whether frequently more concern food is palatable, is but easy to ignore the nutrient composition content in diet, is unable to control nutritional ingredient
Intake.When cooking unfamiliar vegetable, the usual way of people is purchase menu books or passes through some menu softwares, is being done
It is operated when dish according to corresponding steps, such way can help people to solve the problems, such as to be unfamiliar with culinary art process, but can not
People are allowed to learn in vegetable containing which nutritional ingredient, can not select suitable vegetable according to own bodies situation, especially pair
It is particularly inconvenient for some crowds fat, blood lipid is high, blood glucose is high.
Summary of the invention
Mirror with this, the purpose of the present invention is to provide a kind of dish recommendation system based on food materials nutritional ingredient and taste and
Implementation method, at least to solve problem above.
A kind of dish recommendation system based on food materials nutritional ingredient and taste, including hardware components and software section, institute
Stating hardware components includes intelligent movable equipment and cloud server, and the software section includes running on the intelligent movable to set
Standby upper vegetable recommends APP, and the intelligent movable equipment is connected with the cloud server by wireless network to be counted
According to interaction,
The food materials nutritional ingredient and taste that the vegetable recommends APP to be used to be inputted according to user with manual or voice mode limit
Condition processed recommends vegetable and preparation method thereof to user with visualization interface or voice mode；
The cloud server is for storing, managing dish information, push dish information to the APP.
Further, the intelligent movable equipment is smart phone or tablet computer or wearable device.
Further, it includes login authentication module, nutrition taste setup module, vegetable recommendation mould that the vegetable, which recommends APP,
Block, speech recognition module, analysis on nutritional status module and data transmit-receive module, the login authentication module, nutrition taste are set
It sets module, vegetable recommending module, analysis on nutritional status module to be connected with the data transmit-receive module respectively, the nutrition taste
Setup module can call the speech recognition module.
Further, the cloud server includes database server and business logic processing server, the industry
Logical process server be engaged in by calling the interface of database server offer to carry out the accessing operation of data.
Further, the database server includes customer data base, food materials database, vegetable database, the use
User data library, food materials database, vegetable database are connected with the business logic processing server respectively,
The customer data base is for storing user information data and history dietary data；
The food materials database is used to store the value of the Different Nutrition ingredient contained by the every unit of weight of food materials；
The vegetable database is used to store the correspondence relationship information of vegetable taste information and vegetable and food materials.
Implementation method, including following step are recommended based on the vegetable of food materials nutritional ingredient and taste the invention also discloses a kind of
It is rapid:
The vegetable that S1, user's operation are installed in intelligent movable equipment recommends APP；
S2, user log in vegetable by account number cipher and recommend APP；
S3, user input nutritional ingredient condition and vegetable taste condition；
S4, vegetable recommend APP that the condition data that user inputs is sent to cloud server, and cloud server is from database
The vegetable data for meeting nutritional ingredient condition and vegetable taste condition are filtered out in table, and are fed back to vegetable and recommended APP；
S5, vegetable recommend APP to show dish information.
Further, user can be by being manually entered or the nutritional ingredient condition and vegetable taste is arranged in voice input
Condition.
Further, the database table include vegetable basic information data table, vegetable and food materials relation database table and
Food materials essential information tables of data, vegetable basic information data table, vegetable and food materials relation database table are closed by field vegetable number
Connection, while vegetable is associated by field food materials number with food materials relation database table, food materials essential information tables of data.
Compared with prior art, the beneficial effects of the present invention are:
A kind of dish recommendation system and implementation method based on food materials nutritional ingredient and taste provided by the invention, Yong Hutong
Cross the vegetable that is located in intelligent movable equipment and recommend APP, can efficiently find both can guarantee nutritional ingredient it is reasonable take in,
It is able to satisfy the vegetable of oneself hobby taste again, vegetable recommends APP support user manually or voice two ways setting vegetable filters
Condition, convenient to use in several cases, the present invention can help people again can science while meeting oneself taste as far as possible
Management nutritional ingredient intake, be particularly suitable for the special population that obesity, blood glucose height, blood lipid height etc. need to pay attention to diet.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is only the preferred embodiment of the present invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is the overall system architecture schematic diagram of the embodiment of the present invention.
Fig. 2 is the vegetable recommended method flow diagram of the embodiment of the present invention.
In figure, 1 is intelligent movable equipment, and 2 be that vegetable recommends APP, and 3 be cloud server, and 21 be login authentication module, 22
It is nutrition taste setup module, 23 be vegetable recommending module, and 24 be speech recognition module, and 25 be analysis on nutritional status module, 26
It is data transmit-receive module, 31 be database server, and 32 be business logic processing server, and 311 be customer data base, and 312 are
Food materials database, 313 be vegetable database.
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and cited embodiment is served only for explaining this hair
It is bright, it is not intended to limit the scope of the present invention.
Referring to Fig.1, the present invention provides a kind of dish recommendation system based on food materials nutritional ingredient and taste, the system packet
Hardware components and software section are included, the hardware components include intelligent movable equipment 1 and cloud server 3, the software
The vegetable that part is predominantly run in the intelligent movable equipment 1 recommends APP2, the intelligent movable equipment 1 and the cloud
Server 3 carries out data interaction by wireless network.
The vegetable recommends APP2 to be used for according to user with the food materials nutritional ingredient and taste of the input of manual or voice mode
Restrictive condition recommends vegetable and preparation method thereof to user with visualization interface or voice mode.It includes stepping on that vegetable, which recommends APP2,
Record authentication module 21, nutrition taste setup module 22, vegetable recommending module 23, speech recognition module 24, analysis on nutritional status mould
Block 25 and data transmit-receive module 26, the login authentication module 21, nutrition taste setup module 22, vegetable recommending module 23,
Analysis on nutritional status module 25 is connected with the data transmit-receive module 26 respectively, and the nutrition taste setup module 22 can be called
The speech recognition module 24.
The account number cipher that the login authentication module 21 is used to input user is taken by data transmit-receive module 26 and cloud
The user data that business device 3 is stored is compared, and compares and login successfully can be completed, and otherwise user is prompted to need register account number.
It completes after logging in, user can contain the taste of vegetable and contained nutritional ingredient by nutrition taste setup module 22
Amount is defined.The taste of the vegetable includes but is not limited to numb, peppery, sour, sweet tea, salty, sliding, fragrant, crisp etc.；The nutritional ingredient packet
Include but be not limited to heat (kcal), vitamin E (mg), cholesterol (g), protein (g), potassium (mg), fatty (g), sodium (mg), sugar
(g), cellulose (g), magnesium (mg), carrotene (ug) etc..User is carrying out setting for vegetable taste and contained nutrient composition content
When setting, it can choose manual operation intelligent movable equipment 1 and be configured, also can choose and be configured by phonetic order.It is logical
When crossing voice and being configured, nutrition taste setup module 22 will call speech recognition module 24 to know the phonetic order of user
Not, such as user is when being defined vegetable taste and nutritional ingredient, and speech recognition module 24 passes through intelligent movable equipment 1
Player plays audio prompt user setting vegetable taste, user say " peppery ", speech recognition module 24 to the voice of user into
Setting vegetable taste is " peppery " after row identification；When being defined to nutritional ingredient, user can say " sugar, 20 grams to 50 grams；Heat
Amount, 2500 snap into 3000 cards.", the sugared content range of vegetable is arranged in speech recognition module 24 after identifying to the voice of user
It is that 2500 card maximum 3000 of minimum is blocked, and is converted to corresponding data and is transferred to nutrition taste for minimum 20g maximum 50g, heat
In setup module 22.User can input various tastes and be defined to vegetable.Complete to vegetable taste and contained nutrition at
After dividing the restriction setting of content, nutrition taste is limited data and passes through the data transmit-receive module 26 by nutrition taste setup module 22
It is sent to the cloud server 3, the nutrition taste for recommending APP2 to upload according to vegetable is limited data search by cloud server 3
Meet the vegetable of condition and feed back vegetable data to vegetable and recommends APP2.
The vegetable data that cloud server 3 is fed back are sent to the vegetable recommending module after being received by data transmit-receive module 26
23, vegetable recommending module 23 meets taste and the battalion of user's restriction by showing by the visualization interface of intelligent movable equipment 1
The relevant information, including menu name, required food materials, production method of vegetable etc. formed point, production method can be text, figure
Piece, audio or video.Vegetable recommending module 23 can also be the player of intelligent movable equipment 1 in the form of audio or video
The way of vegetable is played, user can watch while cooking, more intuitively, convenient.
The analysis on nutritional status module 25 is for recording the passing vegetable recommendation information of user, the vegetable recommendation information
Cloud server 3 can be sent to by data transmit-receive module 26 to be saved, meanwhile, cloud server 3 can be to the vegetable of user
Recommendation information is analyzed, and obtains the nutritional ingredient intake situation of user, and is taken in situation according to the nutritional ingredient of user and generated
It is recommended that user requires supplementation with the analysis report taking in which nutritional ingredient, being taken in by which vegetable, and feeds back and arrive dish
Product recommend APP2, and user can check analysis report by analysis on nutritional status module 25, to be directed to the nutrition intake feelings of oneself
Condition targetedly adjusts the diet of oneself, helps to form good eating habit.
The cloud server 3 includes database server 31 and business logic processing server 32, and the business is patrolled
Collect the accessing operation that processing server 32 carries out data by the interface for calling database server 31 to provide.
The database server 31 includes customer data base 311, food materials database 312 and vegetable database 313, institute
Customer data base 311, food materials database 312, vegetable database 313 is stated to be connected with the business logic processing server 32 respectively
It connects.
The customer data base 311 is used to store the account information and nutritional ingredient intake information of user, the account
Information includes personal information, account, password of user etc.；The nutritional ingredient intake information is by analysis on nutritional status module 25
User's nutrition that the user preferences dish information recorded obtains after being handled by 32 analysis of business logic processing server
Ingredient takes in data.
The food materials database 312 is for storing, managing food materials essential information tables of data, the food materials essential information data
The essential information that basic food materials required for vegetable cooking are stored in table, wherein the field and corresponding storage content that are stored
Are as follows: (1) basic food materials number, storage content are the number of the basis food materials；(2) basic food materials title；Storage content is the base
The title of plinth food materials；(3) nutritional ingredient title, the nutritional ingredient that storage content includes by every 100g basis food materials contain
Amount, such as when field is heat, the heat that corresponding storage content includes by every 100g basis food materials, a food materials are basic
There can be a plurality of nutritional ingredient field in information data table；(4) basic food materials picture, storage content are the figure of the basis food materials
Piece.
The vegetable database 313 is for storing, managing vegetable basic information data table, vegetable and food materials relation data
Table.Wherein, the basic information of vegetable is stored in the vegetable basic information data table, wherein the field stored and corresponding
Storage content are as follows: (1) vegetable is numbered, and storage content is the number of the vegetable；(2) menu name, storage content are the vegetable
Title；(3) vegetable taste, storage content are whether the vegetable has a taste profile, for example, field be it is peppery, then storage content is
Whether the vegetable has peppery taste profile, can have a plurality of vegetable taste field in a vegetable basic information data table；(4)
Vegetable picture, storage content are the picture of the vegetable；(5) vegetable way, storage content are to demonstrate the text of the vegetable way, figure
Piece, audio or video file.
The corresponding relationship of vegetable and basic food materials is stored in the vegetable and food materials relation database table, wherein stored
Field and corresponding storage content are (1) vegetable number, and storage content is the number of the vegetable；(2) basic food materials 1 are numbered, and are deposited
Store up the number that content is the 1st kind of basic food materials needed for the vegetable；(3) 1 proportion of basic food materials, storage content are every 500g
The percentage of weight shared by the 1st kind of basic food materials that the vegetable is included；(4) basic food materials 2 are numbered, and storage content is the vegetable
The number of the basic food materials of required the 2nd kind；(5) 2 proportion of basic food materials, storage content every 500g vegetable are included
The percentage of weight shared by 1st kind of basic food materials；And so on.
Wherein, the vegetable basic information data table, vegetable are related by field vegetable number to food materials relation database table
Connection, i other words, it is numbered according to vegetable, so that it may obtain corresponding vegetable and the food materials information needed for it；Vegetable and food materials close simultaneously
It is that tables of data, food materials basic information data table are associated by field basis food materials number, according to the included food materials of vegetable, food materials
Nutritional ingredient contained by shared weight ratio, food materials can calculate the numerical value for the nutritional ingredient that vegetable is included.
The working principle of the dish recommendation system is after user opens the vegetable recommendation APP2, to pass through account number cipher
It is logged in, is completed after logging in, vegetable taste and contained each can be arranged in user by manual or phonetic order two ways
Kind nutrient composition content, after being provided with, the qualifications of user setting will be sent to cloud clothes by data transmit-receive module 26
It is engaged in device 3, the business logic processing server 32 can be according to the nutritional ingredient qualifications that user inputs from vegetable database 313
Middle search for meets the vegetable of condition, after finding qualified vegetable, according to the taste qualifications of user's input to vegetable into
Row filtering feeds back vegetable basic information to vegetable and recommends APP2, pass through movement by vegetable recommending module 23 if finding vegetable
The visualization interface of intelligent terminal 1 is shown to user；If not finding the vegetable of the condition of satisfaction, nutrition taste setup module 22
Prompt user resets qualifications.On the other hand, the analysis on nutritional status module 25 will record the preference vegetable of user
Data, and be sent to cloud server 3 and be analyzed and processed, business logic processing server 32 can be according to the preference vegetable of user
Data analyze the nutritional ingredient Intake status of user, and analysis report is generated for user, and user can recommend APP2 to look by vegetable
It sees whether analysis report, the analysis report balance the nutritional ingredient for pointing out user intake, there is which nutritional ingredient to need to mend
It fills, can be supplemented by which vegetable, user is helped preferably scientifically to manage the healthy diet of itself.
The vegetable recommended method based on food materials nutritional ingredient and taste that the invention also discloses a kind of, the method includes with
Lower step:
The vegetable that S1, user's operation are installed in intelligent movable equipment recommends APP；
S2, user log in vegetable by account number cipher and recommend APP；
S3, user input nutritional ingredient condition and vegetable taste condition；
S4, vegetable recommend APP that the condition data that user inputs is sent to cloud server, and cloud server is from database
The vegetable data for meeting nutritional ingredient condition and vegetable taste condition are filtered out in table, and are fed back to vegetable and recommended APP；
S5, vegetable recommend APP to show dish information.
Wherein, user can be by being manually entered or the nutritional ingredient condition and vegetable taste item is arranged in voice input
Part facilitates user to use under a variety of different situations such as leisure or culinary art.
The database table includes that vegetable basic information data table, vegetable and food materials relation database table and food materials are believed substantially
Tables of data is ceased, vegetable basic information data table, vegetable are associated with food materials relation database table by field vegetable number, while vegetable
It is associated by field food materials number with food materials relation database table, food materials essential information tables of data.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of dish recommendation system based on food materials nutritional ingredient and taste, which is characterized in that the system comprises Hardware Subdivisions
Divide and software section, the hardware components include intelligent movable equipment and cloud server, the software section includes fortune
Row recommends APP, the intelligent movable equipment and the cloud server to pass through wirelessly in the vegetable in the intelligent movable equipment
Network is connected to carry out data interaction,
The food materials nutritional ingredient and taste that the vegetable recommends APP to be used to be inputted according to user with manual or voice mode limit item
Part recommends vegetable and preparation method thereof to user with visualization interface or voice mode；
The cloud server is used to store, manages dish information, the nutrition to APP push dish information, analysis user
Take in situation.
2. a kind of dish recommendation system based on food materials nutritional ingredient and taste according to claim 1, which is characterized in that
The intelligent movable equipment is smart phone or tablet computer or wearable device.
3. a kind of dish recommendation system based on food materials nutritional ingredient and taste according to claim 1, which is characterized in that
It includes login authentication module, nutrition taste setup module, vegetable recommending module, speech recognition module, battalion that the vegetable, which recommends APP,
Status analysis module and data transmit-receive module are supported, the login authentication module, nutrition taste setup module, vegetable recommend mould
Block, analysis on nutritional status module are connected with the data transmit-receive module respectively, and the nutrition taste setup module can call institute
State speech recognition module.
4. a kind of dish recommendation system based on food materials nutritional ingredient and taste according to claim 1, which is characterized in that
The cloud server includes database server and business logic processing server, and the business logic processing server is logical
Cross the accessing operation that the interface for calling database server to provide carries out data.
5. a kind of vegetable recommended method and system based on food materials nutritional ingredient and taste according to claim 4, special
Sign is that the database server includes customer data base, food materials database, vegetable database, the customer data base, food
Material database, vegetable database are connected with the business logic processing server respectively,
The customer data base is for storing user basic information data and history dietary data；
The food materials database is used to store the value of the Different Nutrition ingredient contained by the every unit of weight of food materials；
The vegetable database is used to store the correspondence relationship information of vegetable taste information and vegetable and food materials.
6. it is a kind of based on the vegetable of food materials nutritional ingredient and taste recommend implementation method, which is characterized in that the method includes with
Lower step:
The vegetable that S1, user's operation are installed in intelligent movable equipment recommends APP；
S2, user log in vegetable by account number cipher and recommend APP；
S3, user input nutritional ingredient condition and vegetable taste condition；
S4, vegetable recommend APP that the condition data that user inputs is sent to cloud server, and cloud server is from database table
The vegetable data for meeting nutritional ingredient condition and vegetable taste condition are filtered out, and feeds back to vegetable and recommends APP；
S5, vegetable recommend APP to show dish information.
7. according to claim 6 a kind of based on the vegetable of food materials nutritional ingredient and taste recommendation implementation method, feature
It is, user can be by being manually entered or the nutritional ingredient condition and vegetable taste condition is arranged in voice input.
8. according to claim 6 a kind of based on the vegetable of food materials nutritional ingredient and taste recommendation implementation method, feature
It is, the database includes vegetable basic information data table, vegetable and food materials relation database table and food materials essential information number
According to table, vegetable basic information data table, vegetable are associated with food materials relation database table by field vegetable number, while vegetable and food
Material relation database table, food materials essential information tables of data are associated by field food materials number.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810902309.8A CN109147910A (en) | 2018-08-09 | 2018-08-09 | A kind of dish recommendation system and implementation method based on food materials nutritional ingredient and taste |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810902309.8A CN109147910A (en) | 2018-08-09 | 2018-08-09 | A kind of dish recommendation system and implementation method based on food materials nutritional ingredient and taste |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109829790A (en) * | 2019-02-01 | 2019-05-31 | 上海掌门科技有限公司 | It is a kind of for generating the method and apparatus of procurement information |
| CN109979448A (en) * | 2019-01-25 | 2019-07-05 | 广州富港万嘉智能科技有限公司 | A kind of voice interactive method and device based on automatic cooking platform |
| CN111128342A (en) * | 2019-12-24 | 2020-05-08 | 吴鹏 | Artificial intelligence recommended dish collocation platform and dish collocation customizing method |
| CN111354437A (en) * | 2019-12-30 | 2020-06-30 | 天津大学 | Accurate nutrition recommendation method based on diet record analysis |
| CN111782875A (en) * | 2020-07-06 | 2020-10-16 | 聚好看科技股份有限公司 | Video search recommendation method, recipe recommendation method based on refrigerator and server |
| CN113140287A (en) * | 2020-01-20 | 2021-07-20 | 佛山市顺德区美的电热电器制造有限公司 | Recipe recommendation method and device and electronic equipment |
| CN113764071A (en) * | 2021-09-16 | 2021-12-07 | 广州达到信息技术有限公司 | Food material recommendation intelligent system and method based on nutrition big data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104112217A (en) * | 2013-12-24 | 2014-10-22 | 珠海优特电力科技股份有限公司 | Taste selection information marking method and application method |
| CN106955013A (en) * | 2017-03-30 | 2017-07-18 | 上海斐讯数据通信技术有限公司 | A kind of method of intelligent kitchen cooking system and intelligent auxiliary cooking |
| WO2017123525A1 (en) * | 2016-01-13 | 2017-07-20 | Bigfoot Biomedical, Inc. | User interface for diabetes management system |
| CN107153972A (en) * | 2017-05-10 | 2017-09-12 | 王鹏飞 | A kind of menu visualization point ordering system of user oriented evaluation of nutrition |
| CN107862542A (en) * | 2017-09-28 | 2018-03-30 | 北京三快在线科技有限公司 | A kind of vegetable recommends method and apparatus |
| CN108304448A (en) * | 2017-12-08 | 2018-07-20 | 无锡雅座在线科技股份有限公司 | Vegetable recommends method and device, storage medium, processor |
-
2018
- 2018-08-09 CN CN201810902309.8A patent/CN109147910A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104112217A (en) * | 2013-12-24 | 2014-10-22 | 珠海优特电力科技股份有限公司 | Taste selection information marking method and application method |
| WO2017123525A1 (en) * | 2016-01-13 | 2017-07-20 | Bigfoot Biomedical, Inc. | User interface for diabetes management system |
| CN106955013A (en) * | 2017-03-30 | 2017-07-18 | 上海斐讯数据通信技术有限公司 | A kind of method of intelligent kitchen cooking system and intelligent auxiliary cooking |
| CN107153972A (en) * | 2017-05-10 | 2017-09-12 | 王鹏飞 | A kind of menu visualization point ordering system of user oriented evaluation of nutrition |
| CN107862542A (en) * | 2017-09-28 | 2018-03-30 | 北京三快在线科技有限公司 | A kind of vegetable recommends method and apparatus |
| CN108304448A (en) * | 2017-12-08 | 2018-07-20 | 无锡雅座在线科技股份有限公司 | Vegetable recommends method and device, storage medium, processor |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109979448A (en) * | 2019-01-25 | 2019-07-05 | 广州富港万嘉智能科技有限公司 | A kind of voice interactive method and device based on automatic cooking platform |
| CN109829790A (en) * | 2019-02-01 | 2019-05-31 | 上海掌门科技有限公司 | It is a kind of for generating the method and apparatus of procurement information |
| CN109829790B (en) * | 2019-02-01 | 2022-04-12 | 上海掌门科技有限公司 | Method and equipment for generating purchase information |
| CN111128342A (en) * | 2019-12-24 | 2020-05-08 | 吴鹏 | Artificial intelligence recommended dish collocation platform and dish collocation customizing method |
| CN111354437A (en) * | 2019-12-30 | 2020-06-30 | 天津大学 | Accurate nutrition recommendation method based on diet record analysis |
| CN113140287A (en) * | 2020-01-20 | 2021-07-20 | 佛山市顺德区美的电热电器制造有限公司 | Recipe recommendation method and device and electronic equipment |
| CN111782875A (en) * | 2020-07-06 | 2020-10-16 | 聚好看科技股份有限公司 | Video search recommendation method, recipe recommendation method based on refrigerator and server |
| CN111782875B (en) * | 2020-07-06 | 2023-10-13 | 聚好看科技股份有限公司 | Video search recommendation method, recipe recommendation method based on refrigerator and server |
| CN113764071A (en) * | 2021-09-16 | 2021-12-07 | 广州达到信息技术有限公司 | Food material recommendation intelligent system and method based on nutrition big data |
| CN113764071B (en) * | 2021-09-16 | 2022-06-10 | 广州达到信息技术有限公司 | Food material recommendation intelligent system and method based on nutrition big data |
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