CN106611105A - Cookbook recommendation realization method and apparatus - Google Patents
Cookbook recommendation realization method and apparatus Download PDFInfo
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- CN106611105A CN106611105A CN201611119222.0A CN201611119222A CN106611105A CN 106611105 A CN106611105 A CN 106611105A CN 201611119222 A CN201611119222 A CN 201611119222A CN 106611105 A CN106611105 A CN 106611105A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
The invention discloses a cookbook recommendation realization method and apparatus, and belongs to the technical field of computers. The method comprises the steps of performing existing food material identification to obtain an existing food material identification result, wherein the existing food material identification result comprises food material identifiers and weighing information corresponding to the food material identifiers; obtaining cookbook recommendation information according to the existing food material identification result and health data of a user, wherein the cookbook recommendation information comprises a cookbook corresponding to the existing food material identification result and the health data; displaying the cookbook recommendation information; and receiving selection of the cookbook recommendation information to obtain a final cookbook executing a cooking process. According to the cookbook recommendation realization method and apparatus, the proper cookbook recommendation information can be recommended according to the health data of the user and the existing food materials, so that accurate recommendation of the cookbook in an intelligent cooking terminal is realized.
Description
Technical field
It relates to technical field of internet application, more particularly to a kind of method and device for realizing that menu is recommended.
Background technology
With the development of science and technology, the use of intelligent cooking terminal is more and more extensive, increasing intelligent cooking terminal tool
The function of having menu to recommend.Intelligent cooking terminal according to the corresponding menu of food materials information recommendation, so as to the intelligence for realizing menu is cooked
Prepare food.
Although intelligent cooking terminal can according to food materials information recommendation menu, for intelligent cooking terminal user and
Speech, its this menu are recommended to be only to recommend the menu related to specified food materials information to presently used intelligent cooking end
End, and do not carry out the accurate recommendation based on user.
Intelligent cooking terminal that user is used can be received the menu of a large amount of recommendations for this, thus will have to
Menu required for being searched in substantial amounts of menu one by one, accurately menu is not recommended to cause high lookup cost；In addition, i.e.
Just only carry out the recommendation of a menu, remain on can due to menu recommend it is inaccurate so that this menu is considered useless letter
Cease and be dropped, and then have to re-start menu recommendation and search.
That is, the realization that existing menu is recommended, be only based on food materials information, and and intelligent cooking end cannot be directed to
Each user at end carries out targetedly precisely recommending, and then result in the realization shortage of menu recommendation in intelligent cooking terminal
Specific aim and accuracy.
Therefore, how to realize that the accurate recommendation of menu in intelligent cooking terminal has become problem demanding prompt solution.
The content of the invention
In order to solve the low-down technical problem of accuracy that menu is recommended in correlation technique, present disclose provides a kind of real
The method and device that existing menu is recommended.
A kind of method for realizing that menu is recommended, including：
Carry out existing food materials identification and obtain existing food materials recognition result, the existing food materials recognition result includes that food materials are identified
With the weighing information corresponding to food materials mark；
Menu recommendation information is obtained according to the health data of the existing food materials recognition result and user, the menu is recommended
Information includes the menu matched with the existing food materials recognition result and the health data；
The menu recommendation information is shown, and receives the selection of the menu recommendation information and obtain execution cooking process most
Whole menu.
A kind of device for realizing that menu is recommended, including：
Food materials identification module, obtains existing food materials recognition result for carrying out existing food materials identification, and the existing food materials are known
Other result includes food materials mark and the weighing information corresponding to food materials mark；
Recommend menu acquisition module, for menu being obtained according to the health data of the existing food materials recognition result and user
Recommendation information, the menu recommendation information include the dish matched with the existing food materials recognition result and the health data
Spectrum；
Menu selecting module, for showing the menu recommendation information, and receives the selection of the menu recommendation information and obtains
The final menu of cooking process must be performed.
The technical scheme that embodiment of the disclosure is provided can include following beneficial effect：
To realize that menu is recommended, the identification for carrying out existing food materials is obtained into existing food materials recognition result, existing food materials identification
As a result include that food materials are identified and corresponding to the weighing information of food materials mark, according to existing food materials recognition result and the healthy number of user
According to menu recommendation information is obtained, menu recommendation information includes the menu matched with existing food materials recognition result and health data,
Menu recommendation information is shown, and receives the selection of menu recommendation information and obtain the final menu for performing cooking process, in this process
In, the realization that menu is recommended is possessed specific aim by the introducing of the health data of user, it can be considered that user initiates menu pushing away
The intention recommended, greatly improves the accuracy that menu is recommended with this, and also the display by menu recommendation information and choose come
The menu finally recommended to user is obtained, i.e., final menu has further ensured the accuracy that menu is recommended.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary, this can not be limited
It is open.
Description of the drawings
During accompanying drawing herein is merged in description and the part of this specification is constituted, show the enforcement for meeting the present invention
Example, and be used for together explaining the principle of the present invention in description.
Fig. 1 is a kind of method flow diagram for realizing that menu is recommended according to an exemplary embodiment；
Fig. 2 is a kind of method flow diagram for realizing that menu is recommended according to an exemplary embodiment；
Fig. 3 is a kind of method flow diagram for realizing that menu is recommended according to an exemplary embodiment；
Fig. 4 is that the server of Fig. 3 correspondence embodiments obtains menu according to health classification and existing food materials recognition result
The flow chart of recommendation information step；
Fig. 5 is the schematic diagram of implementation environment involved in the present invention；
Fig. 6 is the block diagram that a kind of menu according to an exemplary embodiment recommends terminal；
Fig. 7 is a kind of device block diagram for realizing that menu is recommended according to an exemplary embodiment；
Fig. 8 is a kind of device block diagram for realizing that menu is recommended according to an exemplary embodiment；
Fig. 9 is a kind of device block diagram for realizing that menu is recommended according to an exemplary embodiment；
Figure 10 is the block diagram of the recommendation information acquisition module that Fig. 9 correspondingly implements to exemplify.
Specific embodiment
Here explanation will be performed to exemplary embodiment in detail, its example is illustrated in the accompanying drawings.Explained below is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent and the consistent all embodiments of the present invention.Conversely, they be only with as appended by
The example of consistent apparatus and method in terms of some described in detail in claims, the present invention.
Fig. 1 is a kind of method flow diagram for realizing that menu is recommended according to an exemplary embodiment.As shown in figure 1,
This realizes that the method that menu is recommended may comprise steps of.
In step s 110, carry out existing food materials identification and obtain existing food materials recognition result.
First it should be noted that the initiation of menu recommendation, is for existing food materials, that is, to realize that user has eaten
The menu recommendation process of material, enables a user to obtain based on existing food materials the dish recommended in the culinary art carried out by itself
Spectrum.
Existing food materials identification, is identification of the food materials possessed to user in food materials classification and food materials weighing.It is easy to reason
Solution, the food materials of indication are weighed, and can be food materials weight, or food materials volume etc., and here is not defined.
Corresponding, existing food materials recognition result includes food materials mark and the weighing information corresponding to food materials mark.
Food materials are identified, for indicating the species of the possessed food materials of user.In the realization that menu of the present invention is recommended, food materials are with food materials mark
What the data mode of knowledge was present.In one exemplary embodiment, food materials mark, can carry out coding correspondence one by one for food materials
Identification code, or food materials title, can also be the form of other unique mark food materials species, here is not defined.
As previously described, menu recommendation information is at least included and recommends the menu cooked for existing food materials.Therefore,
Need first to be identified existing food materials, follow-up menu recommendation process is performed according to existing food materials recognition result.
In one exemplary embodiment, carrying out existing food materials knowledge has various otherwise.Specifically, food materials are had
Existing food materials can be carried out food materials image acquisition by image acquisition component, and then recognize that food materials image obtains food materials by identification
Food materials species present in image, thus accordingly obtains food materials mark, and obtains food materials by weighing component identifying corresponding title
Amount information；The food materials mark and its corresponding food weighing information of existing food materials can also be directly read by sensor；Can be with
The identification of existing food materials is carried out in other way, obtains existing food materials recognition result.
In a specific exemplary embodiment, food materials identification is carried out by the food materials image gathered to photographic head, is obtained
Identify to food materials, and food materials are obtained by electronic scale and identify corresponding weighing information.
In the step s 120, menu recommendation information is obtained according to the health data of existing food materials recognition result and user.
The health data of user is the related data for characterizing health, includes the various data related to user health
Content, such as body weight, height, body fat, blood pressure, blood glucose, history of disease, food prohibited etc..
The health data of user can be obtained by asking the health harvester of connection to carry out data renewal
, or user be manually entered according to its own health status, can also be other modes obtain health data.
For example, the health harvester of connection, can be Intelligent weight claim, the equipment such as Intelligent bracelet, blood glucose meter and sphygomanometer,
That is, in the menu for being carried out is recommended, the body of user can be obtained in real time by linkage health harvester
Situation, and then the realization recommended for menu provides accurate foundation.
Menu recommendation information includes the menu matched with existing food materials recognition result and health data.
In a specific exemplary embodiment, menu is stored in the menu data storehouse of advance structure.Menu data
Storehouse can be implemented in the terminal of user in advance, it is also possible to be implemented in server in advance.That is, menu recommendation information
Obtain, can locally be realized based on user, or realized under the cooperation of server, here is not defined.
The health of user can be obtained according to the health data of user, and then combine existing food materials recognition result, with
Each menu carries out matching operation, obtains and is adapted to user's body situation, and the menu being consistent with the currently owned food materials of user is recommended
Information.
Here, for the menu recommendation information for being obtained, one or more menu, and each menu are that includes,
All it is that existing food materials recognition result and health data with user matches.On the one hand so that the recommendation of menu takes into full account
User currently owned food materials, it is ensured that the menu of recommendation be all user currently can using and realize corresponding to which
Dish, that is, ensure that the effectiveness that menu is recommended；On the other hand, in terms of diet, that is, the realization cooked, the core for being considered
Problem is health, and the introducing of the health data of user, fill up user and adopted the problem considered by the menu of recommendation, thus
Obtained menu recommendation information will be caused to possess very high specific aim and accuracy.
In step s 130, menu recommendation information is shown, and receives the selection acquisition execution of menu recommendation information and cooked
The final menu of journey.
Menu recommendation information can include a menu matched with existing food materials recognition result and health data, also may be used
To include two or more menus matched with existing food materials recognition result and health data.
After menu recommendation information is obtained according to the health data of existing food materials recognition result and user, just to this menu
Recommendation information is shown, on the one hand, show recommended menu to user, to facilitate user to perform its culinary art according to this menu
Process；On the other hand, also by by the displaying of menu, and allow users to choose and itself menu the most suitable, i.e., most
Whole menu, while menu recommendation accuracy is further improved, also ensure that interactive performance.
It should be understood that all menus in menu recommendation information are shown, for being selected.It is right receiving
After the selection of some menu, using the menu as final menu, and then performed according to the corresponding menu information of the final menu
Cooking process.
By method as above, after obtaining existing food materials recognition result, according to the existing food materials recognition result of identification and
The health data of user recommends the menu recommendation information for matching, and makes the menu of recommendation be adapted to the health of user, so as to reality
The accurate recommendation of menu in existing intelligent cooking terminal.
Fig. 2 is a kind of method flow diagram for realizing that menu is recommended according to an exemplary embodiment.Step in Fig. 1
Before S120, the method can also be comprised the following steps.
In step S210, the health data of user is obtained.
The health data of user can be by receiving the transmission of health harvester and obtain, or it is logical
Cross the healthy data of collection user and obtain, the health data of user can also be obtained in other way, here
Do not enumerated.
In step S220, health data and existing food materials recognition result are reported to into server, the health data for reporting
The acquisition of menu recommendation information in server is carried out with existing food materials recognition result for triggering.
In the present example embodiment, the server configures menu data storehouse of advance structure.The health that terminal will be obtained
Data and existing food materials recognition result report to server, carry out matching operation by server, obtain in menu data storehouse
The menu recommendation information matched with existing food materials recognition result and health data.By this process, will by means of server with
And in server the powerful calculation function in menu data storehouse and realize more fast and accurately menu recommend.
Due to being implemented in the menu data storehouse of server in advance, the species of menu is more more rich, by server
In carry out existing food materials recognition result and user health data matching operation, improve the menu recommendation information of acquisition and strong
The matching degree of health data and existing food materials recognition result, provides the user more menu recommendation informations.
Fig. 3 is a kind of method flow diagram for realizing that menu is recommended according to an exemplary embodiment.Step in Fig. 2
After S220, the method can also be comprised the following steps.
In step S310, server is according to health data, identification correspondence health classification.
The health of user is classified according to the health data of user, i.e. obtain health classification.Server
For each user for asking to carry out menu recommendation, the classification of health is realized according to its health data first all.
By the identification of this health classification, for server, it is the normalized for realizing health data,
Avoid a large number of users, and the user health data a large amount of at random that reported is made to menu recommendation information in server
Into obstacle, and in being also beneficial to improve server, carry out the execution efficiency of menu recommendation.
In one exemplary embodiment, can be according to BMI (body-mass index, Body Mass Index) to body
Situation is classified.
For example, as shown in table 1, BMI=body weight/height2, according to BMI to health classification by body types.When the health of user
Data are：Height 160cm, body weight 70kg, blood pressure 120mmHg, 65mmHg, fasting glucose 4.5mmol are clear without allergies, taste
When light, according to BMI computing formula：BMI=70/1.62=27.34, show that the health classification of the user belongs to overweight body
Type.Find out that user's blood pressure and blood glucose belong to normal range from blood pressure, blood glucose level data.
Table 1
| Build | BMI |
| Become thin | <18.5 |
| Normally | [18.5 24) |
| It is overweight | [24 28) |
| It is fat | ≥28 |
The health of corresponding one or more classifications of each menu, therefore according to the body of health data identifying user
Body condition category, and then obtain the menu recommendation information for being adapted to health classification.
In step s 320, server obtains menu recommendation according to health classification and existing food materials recognition result
Breath.
When obtaining menu recommendation information according to health classification and existing food materials recognition result, can first according to body shape
Condition classification searches the menu set for being adapted to health classification, and then in the menu set of health classification is adapted to, according to
Existing food materials recognition result obtains menu recommendation information；Menu recommendation information can also be obtained according to existing food materials recognition result first
Set, and then the menu recommendation information for being adapted to health classification is searched in menu recommendation information set；Can also be while root
Menu recommendation information is obtained according to health classification and existing food materials recognition result, here is not defined.
By method as above, the health data of user is analyzed by server, recognizes corresponding body
Condition category, and then the menu recommendation information for recommending to be adapted to according to health classification and existing food materials recognition result, make recommendation
Menu recommendation information be adapted to user health, be conducive to healthy.
Fig. 4 is the description of the details to step S320 according to an exemplary embodiment.Step S320 can be wrapped
Include following steps.
In step S3201, according to the food materials identifier lookup matching in health classification and existing food materials recognition result
Menu.
Menu includes the contents such as cooking step, food materials mark and its corresponding weighing information.
Menu that is searched to obtain, being matched with health classification and existing food materials recognition result, is referred in content
Upper presence and food materials mark identical food materials in existing food materials recognition result, and corresponded to the menu of this health classification.
Should remark additionally, in one exemplary embodiment, the storage of menu is with its corresponding health
Classification is what index was realized.Thus, it is possible to corresponding menu is obtained according to the health classification of user, and with existing food materials
In recognition result, food materials mark carries out the matching in content, you can lookup obtains matching menu.
In step S3202, the content in corresponding weighing information and matching menu is identified according to food materials, carry out adjuvant letter
The computing of breath.
In existing food materials recognition result, food materials mark indicates the food materials that recommended menu should be included, and food materials are identified
Corresponding weighing information certainly exists certain difference to the component of corresponding food materials in matching menu.
Thus the culinary art that the adjuvant thrown in will be currently carried out with user is indicated in also necessarily result in matching menu
Journey is not corresponded.If in this cooking process according to menu in indicate throw in adjuvant component carry out it is auxiliary corresponding to existing food materials
Material is thrown in, then relatively large deviation occurs.That is, this menu recommended is with respect to the cooking process that user will currently be carried out
Mistake is there is, accordingly, it would be desirable to corresponding weighing information is identified according to each food materials in existing food materials recognition result enters Mobile state tune
It is whole, to ensure the accuracy of content in the menu recommended, realize the self-adaptative adjustment of menu recommendation.
For example, food materials recognition result is 1800 grams of Rhizoma Solani tuber osi, and matching menu includes 180 grams of Rhizoma Solani tuber osi, with 3.6 grams of salt.Pass through
The consumption of 1800 grams of salt being consistent of computing acquisition and Rhizoma Solani tuber osi is 36 grams, and then salt dosage is 36 in the menu recommendation information for obtaining
Gram.
In step S3203, menu is generated according to the content in existing food materials recognition result, adjuvant information and matching menu
Recommendation information.
Seen from the above description, menu recommendation information is to identify corresponding weighing information and adjuvant information according to food materials, and
Generate according to the content in matching menu so that the cooking process carried out based on menu recommendation information is and current reality
Border situation is consistent, so side ensure that menu recommendation information can adaptive adaptation practical situation, rather than press completely
The recommendation of menu is carried out according to the content in matching menu, it is to avoid implement with match menu realize that process generation is very big
Deviation.
It is due to matching except including food materials mark, weighing in addition to information, adjuvant information in menu, interior also including cooking step etc.
Hold, for the contents such as a kind of existing food materials of food materials mark, cooking step during different weighing information indifference, therefore, root
It is said that amount information and adjuvant information, replace the related content updated in matching menu, and keep the contents such as cooking step constant, it is raw
Into corresponding menu recommendation information.
By method as above, according to the food materials identifier lookup in health classification and existing food materials recognition result
Matching menu, and according to the corresponding adjuvant letter weighed in information updating matching menu of food materials mark in existing food materials recognition result
Breath, makes to generate menu recommendation information and actual feelings according to the content in existing food materials recognition result, adjuvant information and matching menu
Condition is consistent, it is ensured that the accuracy that menu is recommended.
A kind of method flow diagram for realizing that menu is recommended according to an exemplary embodiment.Menu recommendation information is also wrapped
The corresponding menu description information of menu is included, after step S130 in Fig. 2, the method can also be comprised the following steps.
In the cooking process according to final menu, the voice message of cooking step is carried out according to menu description information.
Menu description information for being described to menu, the cooking tools information of such as menu, the voice of cooking step
Information etc..
Menu description information includes the voice content of each cooking step and point of corresponding operating time.In cooking process
In, the voice message of the cooking step is carried out when the time point of each cooking step is reached.So as to improve great for culinary art
Convenience, it is to avoid cause not corresponding with practical situation because of cooking step operation mistake.
By method as above, menu recommendation information includes menu description information, in the culinary art according to final menu
During, the voice message of corresponding cooking step is carried out, is that cooking process improves great convenience property.
Fig. 5 is the schematic diagram of implementation environment involved in the present invention.The implementation environment is that menu recommends terminal 300 and service
Device 200.
In one exemplary embodiment, after this menu recommends terminal 300 to obtain existing food materials recognition result, will eat
The uploading health data server 200 of material recognition result and user, server 200 are obtained and existing food materials by comprehensive analysis
The menu recommendation information that the health data of recognition result and user matches, and menu recommendation terminal 300 is sent to, push away in menu
After recommending the selection confirmation of 300 receive user of terminal, final menu is obtained, and then is cooked according to final menu, make to cook
The health data of dish and user be adapted, have using the healthy of user.
Fig. 6 is a kind of block diagram of the device 100 according to an exemplary embodiment.For example, 100 can be shown in Fig. 5
Menu in implementation environment recommends terminal 300.
With reference to Fig. 6, device 100 can include following one or more component：Process assembly 101, memorizer 102, electricity
Source component 103, multimedia groupware 104, audio-frequency assembly 105, sensor cluster 107 and communication component 108.
The integrated operation of 101 usual control device 100 of process assembly, such as with display, call, data communication, phase
Machine operates and records associated operation of operation etc..Process assembly 101 can include one or more processors 109 to perform
Instruction, to complete all or part of step of above-mentioned method.Additionally, process assembly 101 can include one or more modules,
The interaction being easy between process assembly 101 and other assemblies.For example, process assembly 101 can include multi-media module, with convenient
Interaction between multimedia groupware 104 and process assembly 101.
Memorizer 102 is configured to store various types of data to support the operation in device 100.These data are shown
Example includes the instruction of any application program or method for operating on the device 100.Memorizer 102 can be by any kind of
Volatibility or non-volatile memory device or combinations thereof realization, such as static RAM (SRAM), electrically erasable
Except programmable read only memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory
(PROM), read only memory (ROM), magnetic memory, flash memory, disk or CD.Also it is stored with memorizer 102 one
Or multiple modules, one or more modules are configured to be performed by the one or more processors 109, with complete Fig. 1, Fig. 2,
All or part of step in method shown in Fig. 3 and Fig. 4 is arbitrary.
Power supply module 103 provides electric power for the various assemblies of device 100.Power supply module 103 can include power management system
System, one or more power supplys, and other generate, manage and distribute the component that electric power is associated with for device 100.
Multimedia groupware 104 is included in the screen of one output interface of offer between described device 100 and user.One
In a little embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen
Curtain may be implemented as touch screen, to receive the input signal from user.Touch panel includes one or more touch sensings
Device is with the gesture on sensing touch, slip and touch panel.The touch sensor can not only sensing touch or sliding action
Border, but also detect and the touch or slide related persistent period and pressure.
Audio-frequency assembly 105 is configured to output and/or input audio signal.For example, audio-frequency assembly 105 includes a Mike
Wind (MIC), when device 100 is in operator scheme, such as call model, logging mode and speech recognition mode, mike is matched somebody with somebody
It is set to reception external audio signal.The audio signal for being received can be further stored in memorizer 102 or via communication set
Part 108 sends.In certain embodiments, audio-frequency assembly 105 also includes a speaker, for exports audio signal.
Sensor cluster 107 includes one or more sensors, and the state for various aspects are provided for device 100 is commented
Estimate.For example, sensor cluster 107 can detect the opening/closed mode of device 100, the relative localization of component, sensor group
Part 107 can be with the position change of 100 1 components of detection means 100 or device and the temperature change of device 100.At some
In embodiment, the sensor cluster 107 can also include Magnetic Sensor, pressure transducer or temperature sensor.
Communication component 108 is configured to facilitate the communication of wired or wireless way between device 100 and other equipment.Device
100 can access the wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof.In an exemplary enforcement
In example, communication component 108 receives the broadcast singal or broadcast related information from external broadcasting management system via broadcast channel.
In one exemplary embodiment, the communication component 108 also includes near-field communication (NFC) module, to promote junction service.Example
Such as, NFC module can be based on RF identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology,
Bluetooth (BT) technology and other technologies are realizing.
In the exemplary embodiment, device 100 can be by one or more application specific integrated circuits (ASIC), numeral letter
Number processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components realizations, for performing following methods.
It is following for disclosure device embodiment, can be used for performing this above-mentioned embodiment of the method for realizing that menu is recommended.It is right
The details not disclosed in disclosure device embodiment, refer to the embodiment of the method that the disclosure realizes that menu is recommended.
Fig. 7 is the device block diagram that a kind of according to an exemplary embodiment realizes that menu is recommended, the device include but
It is not limited to：Food materials identification module 110, recommendation menu acquisition module 120 and menu selecting module 130.
Food materials identification module 110, obtains existing food materials recognition result, the existing food materials for carrying out existing food materials identification
Recognition result includes food materials mark and the weighing information corresponding to food materials mark；
Recommend menu acquisition module 120, for obtaining according to the health data of the existing food materials recognition result and user
Menu recommendation information, the menu recommendation information include matching with the existing food materials recognition result and the health data
Menu；
Menu selecting module 130, for showing the menu recommendation information, and receives the selection of the menu recommendation information
Obtain the final menu for performing cooking process.
In said apparatus the function of modules and effect realize process specifically refer to it is above-mentioned realize menu recommend method
Middle correspondence step realizes process, will not be described here.
Optionally, as shown in figure 8, realizing in Fig. 7 that the device that menu is recommended also is included but is not limited to：Judging submodule 210
With unused software tags submodule 220.
Health data acquisition module 210, for obtaining the health data of the user；
Data reporting module 220, for the health data and existing food materials recognition result are reported to server, reports
The health data and existing food materials recognition result the acquisition of menu recommendation information in the server has been carried out for triggering.
Optionally, as shown in figure 9, realizing in Fig. 8 that the device that menu is recommended also is included but is not limited to：Body categorization recognizes mould
Block 310 and recommendation information acquisition module 320.
Body categorization identification module 310, for the server according to the health data, identification correspondence health class
Not；
Recommendation information acquisition module 320, for the server according to the health classification and the existing food materials
Recognition result obtains menu recommendation information.
Optionally, as shown in Figure 10, recommendation information acquisition module 320 is included but is not limited to：Matching menu searching unit
3201st, adjuvant arithmetic element 3202 and recommendation information signal generating unit 3203.
Matching menu searching unit 3201, for according in the health classification and the existing food materials recognition result
Food materials identifier lookup matching menu；
Adjuvant arithmetic element 3202, for identifying in corresponding weighing information and the matching menu according to the food materials
Content, carries out the computing of adjuvant information；
Recommendation information signal generating unit 3203, for according to the existing food materials recognition result, the adjuvant information and described
Content in matching menu generates menu recommendation information.
Optionally, realize in Fig. 7 that the device that menu is recommended also is included but is not limited to：Voice cue module.
Voice cue module, in the cooking process according to the final menu, according to the menu description information
Carry out the voice message of cooking step.
It should be appreciated that the precision architecture for being described above and being shown in the drawings is the invention is not limited in, and
And various modifications and changes can be being performed without departing from the scope.The scope of the present invention is limited only by appended claim.
Claims (10)
1. it is a kind of realize menu recommend method, it is characterised in that include：
Carry out existing food materials identification and obtain existing food materials recognition result, the existing food materials recognition result includes that food materials are identified and right
The weighing information of food materials mark described in Ying Yu；
Menu recommendation information, the menu recommendation information are obtained according to the health data of the existing food materials recognition result and user
Including the menu matched with the existing food materials recognition result and the health data；
The menu recommendation information is shown, and receives the selection of the menu recommendation information and obtain the final dish for performing cooking process
Spectrum.
2. method according to claim 1, it is characterised in that described according to the existing food materials recognition result and user
Before health data obtains menu recommendation information, methods described also includes：
Obtain the health data of the user；
The health data and existing food materials recognition result are reported to into server, the health data for reporting and existing food materials
Recognition result carries out the acquisition of menu recommendation information in the server for triggering.
3. method according to claim 2, it is characterised in that described by the health data and existing food materials recognition result
After reporting to server, methods described also includes：
The server is according to the health data, identification correspondence health classification；
The server obtains menu recommendation information according to the health classification and the existing food materials recognition result.
4. method according to claim 3, it is characterised in that the server is according to the health classification and described
Existing food materials recognition result obtains menu recommendation information step to be included：
According to the food materials identifier lookup matching menu in the health classification and the existing food materials recognition result；
The content in corresponding weighing information and the matching menu is identified according to the food materials, the computing of adjuvant information is carried out；
Menu recommendation is generated according to the content in the existing food materials recognition result, the adjuvant information and the matching menu
Breath.
5. method according to claim 1, it is characterised in that the menu recommendation information also includes that the menu is corresponding
Menu description information, the display menu recommendation information, and receive the selection of the menu recommendation information and obtain execution and cook
After the final menu step of process of preparing food, methods described also includes：
In the cooking process according to the final menu, carried according to the voice that the menu description information carries out cooking step
Show.
6. it is a kind of realize menu recommend device, it is characterised in that described device includes：
Food materials identification module, obtains existing food materials recognition result, the existing food materials identification knot for carrying out existing food materials identification
Fruit includes that food materials are identified and corresponding to the weighing information of food materials mark；
Recommend menu acquisition module, recommend for menu being obtained according to the health data of the existing food materials recognition result and user
Information, the menu recommendation information include the menu matched with the existing food materials recognition result and the health data；
Menu selecting module, for showing the menu recommendation information, and receives the selection of the menu recommendation information and is held
The final menu of row cooking process.
7. device according to claim 6, it is characterised in that described device also includes：
Health data acquisition module, for obtaining the health data of the user；
Data reporting module, for the health data and existing food materials recognition result are reported to server, what is reported is described
Health data and existing food materials recognition result carry out the acquisition of menu recommendation information in the server for triggering.
8. device according to claim 7, it is characterised in that described device also includes：
Body categorization identification module, for the server according to the health data, identification correspondence health classification；
Recommendation information acquisition module, for the server according to the health classification and the existing food materials recognition result
Obtain menu recommendation information.
9. device according to claim 8, it is characterised in that the recommendation information acquisition module includes：
Matching menu searching unit, for according to the food materials mark in the health classification and the existing food materials recognition result
Know and search matching menu；
Adjuvant arithmetic element, for the content in corresponding weighing information and the matching menu is identified according to the food materials, enters
The computing of row adjuvant information；
Recommendation information signal generating unit, for according to the existing food materials recognition result, the adjuvant information and the matching menu
In content generate menu recommendation information.
10. device according to claim 1, it is characterised in that described device includes：
Voice cue module, for, in the cooking process according to the final menu, being carried out according to the menu description information
The voice message of cooking step.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107341340A (en) * | 2017-06-08 | 2017-11-10 | 美的集团股份有限公司 | recipe recommendation method, system and terminal |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103984847A (en) * | 2014-04-14 | 2014-08-13 | 小米科技有限责任公司 | Food and drink recommendation method and related device |
| CN104921603A (en) * | 2015-06-01 | 2015-09-23 | 苏州伊诺恩流体控制***有限公司 | Intelligent kitchen seasoning machine |
| CN105426694A (en) * | 2015-12-15 | 2016-03-23 | Tcl集团股份有限公司 | Dietary therapy menu generating method and device |
| CN105512196A (en) * | 2015-11-27 | 2016-04-20 | 朱威 | Personalized nutritional recipe recommendation method and system based on users' conditions |
| CN105592153A (en) * | 2015-12-17 | 2016-05-18 | 美的集团股份有限公司 | Method and system for pushing healthy recipe, and cloud server |
| CN105841436A (en) * | 2016-05-31 | 2016-08-10 | 青岛海尔股份有限公司 | Food management method and food management system of intelligent refrigerator |
| CN106161591A (en) * | 2016-06-20 | 2016-11-23 | 美的集团股份有限公司 | A kind of Cloud Server, intelligent refrigerator and diet management system and method |
-
2016
- 2016-12-08 CN CN201611119222.0A patent/CN106611105A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103984847A (en) * | 2014-04-14 | 2014-08-13 | 小米科技有限责任公司 | Food and drink recommendation method and related device |
| CN104921603A (en) * | 2015-06-01 | 2015-09-23 | 苏州伊诺恩流体控制***有限公司 | Intelligent kitchen seasoning machine |
| CN105512196A (en) * | 2015-11-27 | 2016-04-20 | 朱威 | Personalized nutritional recipe recommendation method and system based on users' conditions |
| CN105426694A (en) * | 2015-12-15 | 2016-03-23 | Tcl集团股份有限公司 | Dietary therapy menu generating method and device |
| CN105592153A (en) * | 2015-12-17 | 2016-05-18 | 美的集团股份有限公司 | Method and system for pushing healthy recipe, and cloud server |
| CN105841436A (en) * | 2016-05-31 | 2016-08-10 | 青岛海尔股份有限公司 | Food management method and food management system of intelligent refrigerator |
| CN106161591A (en) * | 2016-06-20 | 2016-11-23 | 美的集团股份有限公司 | A kind of Cloud Server, intelligent refrigerator and diet management system and method |
Cited By (28)
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|---|---|---|---|---|
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| CN109935300A (en) * | 2017-12-19 | 2019-06-25 | 苏州恒鼎科技咨询有限公司 | Intelligence Internet-based claims |
| CN110045638B (en) * | 2018-01-17 | 2021-09-14 | 佛山市顺德区美的电热电器制造有限公司 | Cooking information recommendation method and device and storage medium |
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