CN110223757A - The recommended method of recipe scheme, device, medium, electronic equipment - Google Patents
The recommended method of recipe scheme, device, medium, electronic equipment Download PDFInfo
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- CN110223757A CN110223757A CN201910327479.2A CN201910327479A CN110223757A CN 110223757 A CN110223757 A CN 110223757A CN 201910327479 A CN201910327479 A CN 201910327479A CN 110223757 A CN110223757 A CN 110223757A
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- 238000004590 computer program Methods 0.000 claims description 3
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- 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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- 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
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Abstract
The present invention relates to intelligent recommendation technical fields, disclose recommended method, device, medium and the electronic equipment of a kind of recipe scheme.This method comprises: obtaining the food materials image of food materials and identifying the food materials title in the food materials image;Based on the food materials title identified, association recipe scheme relevant to the food materials title is determined from the recipe scheme database constructed in advance;The recipe scheme recommended models constructed in response to being directed to user individual data in advance select the recipe scheme of recommendation from the association recipe scheme.Under the method, existing food materials information is obtained by identification food materials image, and combining the personal data of user is that user recommends have targetedly personalized recipe scheme, be conducive to user and more easily utilize food materials that are existing or admiring, furthermore there is personalized recipe recommendation also can increase the probability that recipe is easily accepted by a user, improves the efficiency of recipe recommendation and the experience of user.
Description
Technical field
The present invention relates to intelligent recommendation technical field, in particular to a kind of recommended method of recipe scheme, device, medium and
Electronic equipment.
Background technique
Currently, the requirement with modern people for quality of life is higher and higher and chases after to healthy Lifestyle
It asks, how reasonably combined diet becomes most people essential homework daily.Accelerate however as work rhythm, leads to people
Research of usually having no time how to arrange in pairs or groups out daily nutrition-balanced canteen.
In the prior art, about the mode for user's recommending recipes scheme mainly include the following types:
First is that directly exporting recipe recommendation scheme to user, such recommendation does not consider the personal feature of user, from
And the recipe scheme recommended is not easily accepted by a user, affect user experience.
Second is that considering the personal feature (such as physiological parameter of user) of user, user is by advance believing physical trait
Breath is input to recommender system, then recommends the recipe scheme for being suitble to user's personal feature by recommender system, however, the recommendation lacks
Point is that the recipe scheme recommended may be not meet the taste of user and be not accepted by the user, even if user receives the recommending recipes
Scheme, but by home or the not no food materials in the recipe in market, and user is made to have to refuse the recommending recipes scheme.
Third is that the food materials title that recommender system is inputted according to user carries out the personalized recommendation of recipe scheme to user, in this way
Recommended method although can be avoided the embarrassments of food materials of in the family or market not in the recipe, but for a kind of food materials and
Speech, it is contemplated that the dialect custom of different regions is different, and food materials may there are many trivial names, many people may be unaware that its
Name, so that recommender system can not identify the food materials name information of user's input.
Summary of the invention
In intelligent recommendation technical field, user's body can not be improved in order to solve recipe recommendation method present in the relevant technologies
The technical issues of testing, the present invention provides recommended method, device, medium and the electronic equipments of a kind of recipe scheme.
According to the one side of the application, a kind of recommended method of recipe scheme is provided, which comprises
Obtain the food materials image of food materials;
Based on the food materials image got, the food materials title in the food materials image is identified;
Based on the food materials title identified, the determining and food materials name from the recipe scheme database constructed in advance
Claim relevant association recipe scheme;
The recipe scheme recommended models constructed in response to being directed to user individual data in advance, from the association recipe side
The recipe scheme of recommendation is selected in case, to recommend user.
According to the another aspect of the application, a kind of recommendation apparatus of recipe scheme is provided, described device includes:
Module is obtained, is configured as obtaining the food materials image of food materials;
Identification module is configured as identifying the food materials title in the food materials image;
Determining module is configured to determine that association recipe scheme relevant to the food materials title;
Selecting module is configured as selecting the recipe scheme of recommendation.
According to the another aspect of the application, a kind of computer-readable program medium is provided, computer program is stored with
Instruction makes computer execute foregoing method when the computer program instructions are computer-executed.
According to the another aspect of the application, a kind of electronic equipment is provided, the electronic equipment includes:
Processor;
Memory is stored with computer-readable instruction on the memory, and the computer-readable instruction is by the processing
When device executes, foregoing method is realized.
By the above technical solution of the present invention, compared with prior art, significant beneficial effect is: being eaten by identification
Material image obtains the information of existing food materials, and combining the personal data of user is that user recommends have targetedly personalized recipe
Scheme is conducive to user more easily using food materials that are existing or admiring, furthermore has personalized recipe recommendation can also
Increase the probability that recipe is easily accepted by a user, improves the efficiency of recipe recommendation and the experience of user.
It should be understood that the above general description and the following detailed description are merely exemplary, this can not be limited
It is open.
Can be more fully appreciated from the following description in conjunction with attached drawing present invention teach that the foregoing and other aspects, reality
Apply example and feature.The feature and beneficial effect of other additional aspects such as illustrative embodiments of the invention will be retouched in following
Show in stating, or is learnt in the practice by the specific embodiment instructed according to the present invention.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention
Example, and be used to explain the principle of the present invention together with specification.
Fig. 1 is the application scenarios schematic diagram of the recommended method of recipe scheme shown according to an exemplary embodiment;
Fig. 2 is a kind of flow chart of the recommended method of recipe scheme shown according to an exemplary embodiment;
Fig. 3 is the flow chart before the step 250 shown in corresponding embodiment according to fig. 2;
Fig. 4 is the flow chart before the step 250 shown in corresponding embodiment according to fig. 2;
Fig. 5 is the details flow chart according to the step 240 of the embodiment shown in Fig. 4 corresponding embodiment;
Fig. 6 is the details flow chart of the step 280 of the embodiment shown in corresponding embodiment according to fig. 2;
Fig. 7 is the decision tree schematic diagram according to recommendation the first recipe scheme of the taste data of user building;
Fig. 8 is a kind of block diagram of the recommendation apparatus of recipe scheme shown according to an exemplary embodiment;
Fig. 9 is a kind of electronic equipment example block diagram for realizing the above method shown according to an exemplary embodiment;
Figure 10 is a kind of computer readable storage medium for realizing the above method shown according to an exemplary embodiment.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistented with the present invention.On the contrary, they be only with it is such as appended
The example of device and method being described in detail in claims, some aspects of the invention are consistent.
In addition, attached drawing is only the schematic illustrations of the disclosure, it is not necessarily drawn to scale.Identical attached drawing mark in figure
Note indicates same or similar part, thus will omit repetition thereof.Some block diagrams shown in the drawings are function
Energy entity, not necessarily must be corresponding with physically or logically independent entity.
The disclosure provides firstly a kind of recommended method of recipe scheme.The recipe scheme refers to former using various culinary arts
The method of cooking of material, the various dish product created by various cooking methods.Specifically, in the present invention, the recipe of recommendation
It may include the food materials raw material for having the recommending recipes, recipe cooking methods in scheme, also may include the ginseng for having recipe finished product
It can also include about the explanation of the recommending recipes nutritive value and history culture etc. according to figure.Recipe in the present invention
The implementation environment of recommended method can be portable mobile equipment, such as smart phone, tablet computer, laptop etc., can also
To be various fixed apparatus, for example, computer equipment, on-site terminal, desktop computer, server, work station etc..
Fig. 1 is the application scenarios schematic diagram of the recommended method of recipe scheme shown according to an exemplary embodiment.Currently,
With the quickening of life and work rhythm, people usually have no time to learn and study how to arrange in pairs or groups out nutrition-balanced canteen, this with
Modern people are conflicting for quality of life increasingly higher demands and to the pursuit of healthy lifestyles.Institute
How either oneself to want that the food materials fast cooking eaten goes out portion and meets oneself taste and meet certainly according to existing food materials
The canteen of own nutritional need just seems particularly significant.In the application scenarios of embodiment shown in Fig. 1, the present invention is known by image
Other technology identifies food materials title in acquired food materials image 101, then according to the food materials title identified be stored with it is several
The collection of the association recipe scheme 103 for alternative recommending recipes scheme is fished for out in the recipe scheme database 102 of recipe scheme
Close, finally by advance for individual subscriber situation and the recipe scheme recommended models that construct are from the association recipe scheme 103
Set in select the recommending recipes scheme 104 for recommending user.
Fig. 3 is the flow chart before the step 250 shown in corresponding embodiment according to fig. 2.As shown in Fig. 2, the method includes
Following steps:
Step 210, recipe scheme and the corresponding recipe attribute of the recipe scheme are obtained.
The recipe scheme refers to the various dish product created using various Cooking Materials, by various cooking methods
It cooks method.Specifically, in the present invention, may include in the recipe scheme of recommendation the food materials raw material for having the recommending recipes,
Recipe cooking methods also may include the reference figure for having recipe finished product, can also include about the recommending recipes nutriture value
Explanation and history culture of value etc..
The corresponding recipe attribute of the recipe scheme refers to the characteristic information of dish product in recipe scheme, specifically, for example,
Recipe attribute may include the tastes attributes such as acidity, sugariness, hardship degree, peppery degree and the salinity of dish product.It also may include having dish
The nutrition attribute such as protein content, fat content, micronutrient levels and vitamin content of meat and fish dishes product.It can also include dish
State (dry vegetalbe, soup dish etc.), the affiliated style of cooking and the culinary art type (such as cooking, stew or steaming dish etc.) of product.At this
In invention, the recipe attribute can be emerged from by specific number or letter, such as the taste attribute of dish product can
Measured with the number with 0 to 100, the nutrition attributes of dish product can with gram/every hectogram measures, the humidity of dish product can
Measured with the number with 0 to 100, the affiliated style of cooking can indicate with institute's possession phonetic, culinary art type can with letter or
Number come indicate (such as letter A indicate cooking, letter b indicate stew).
In the present invention, the recipe scheme and the acquisition modes of the corresponding recipe attribute of the recipe scheme can have more
Kind.It is, for example, possible to use acquisition equipment or acquisition unit from having recipe scheme and the corresponding recipe category of the recipe scheme
The recipe scheme and the corresponding recipe attribute data of the recipe scheme are acquired in the database of property.It can also be climbed by operation
Worm program crawls to obtain from the major cuisines website in internet.It can also be the transmission medium by data, read or receive
The data that tester sends.It can also copy to obtain recipe scheme and the corresponding recipe of the recipe scheme by physical hard disk
Attribute data, or be manually entered to obtain by staff.
Step 220, based on recipe attribute corresponding to recipe scheme and recipe scheme, recipe scheme database is constructed,
In, it include several recipe schemes in the recipe scheme database.
In one embodiment, described based on recipe attribute corresponding to recipe scheme and recipe scheme, construct recipe side
Case database can be accomplished in that
The recipe attribute information of each recipe is extracted, to generate the corresponding attribute tags of each recipe, Ke Yitong
Cross the recipe attribute information of label Direct Recognition recipe.For example, " Kung Pao chicken " is the widely known dish product in one of China,
Food materials raw material mainly has chicken, capsicum, cucumber and peanut.The characteristic of Kung Pao chicken is that have sweet tea in peppery, have in sweet tea it is peppery, chicken
The delicious and crisp of fresh and tender cooperation peanut, entrance is fresh peppery crisp fragrant, and red without peppery, peppery without violent, meat cunning is crisp.Kung Pao chicken is rich in albumen
The nutritional ingredients such as matter, calcium, phosphorus, iron, vitamin and carbohydrate have middle benefit gas QI invigorating, nourishing the five internal organs, strengthening the spleen and stomach, strengthen the bone
The effect of.The nourishing that can take care of health of food improves a poor appetite, promotes health, enhancing body resistivity.In terms of cuisine,
Kung Pao chicken mainly includes three versions, specially Guizhou dish version, Sichuan cuisine version and Shandong cuisine version.
When for " Kung Pao chicken " building recipe scheme database, according to " Kung Pao chicken " acquired and " palace is protected
The corresponding recipe attribute of diced chicken ", can be generated the label that can embody " Kung Pao chicken " recipe attribute as follows:
" number: 00001 ", " name of the dish: Kung Pao chicken ", " food materials: chicken, capsicum, cucumber, peanut " " acidity: 30 ", " sweet tea
Degree: 35 ", " bitter degree: 5 ", " peppery degree: 50 ", " salinity: 45 ", " protein content: 20 grams/every hectogram ", " fat: 10 grams/every hundred
Gram ", " vitamin: 0.1 gram/every hectogram ", " ferro element: 0.1 gram/every hectogram ", " state: dry vegetalbe ", " culinary art type: cooking ",
" style of cooking: Shandong cuisine ", " ... ";
" number: 00002 ", " name of the dish: Kung Pao chicken ", " food materials: chicken, capsicum, cucumber, peanut " " acidity: 40 ", " sweet tea
Degree: 20 ", " bitter degree: 5 ", " peppery degree: 60 ", " salinity: 50 ", " protein content: 20 grams/every hectogram ", " fat: 10 grams/every hundred
Gram ", " vitamin: 0.05 gram/every hectogram ", " ferro element: 0.15 gram/every hectogram ", " state: dry vegetalbe ", " culinary art type: fry
Dish ", " style of cooking: Sichuan cuisine ", " ... ";
" number: 00003 ", " name of the dish: Kung Pao chicken ", " food materials: chicken, capsicum, cucumber, peanut " " acidity: 50 ", " sweet tea
Degree: 15 ", " bitter degree: 10 ", " peppery degree: 65 ", " salinity: 50 ", " protein content: 20 grams/every hectogram ", " fat: 10 grams/every hundred
Gram ", " vitamin: 0.1 gram/every hectogram ", " ferro element: 0.20 gram/every hectogram ", " state: dry vegetalbe ", " culinary art type: cooking ",
" style of cooking: Guizhou dish ", " ... ".
As described above, each attribute tags includes a bookmark name and label substance, for example, " number " is tag name
Claim, " 00001 " is label substance.In addition, can also include specific cooking methods corresponding to recipe in the label enumerated,
Specific cooking methods can be through character introduction, be also possible to through introductory video, if it is the specific of introductory video
Cooking methods, the link of corresponding video can be enclosed in its label substance.
After generating attribute tags for all recipes, the corresponding attribute tags data of each recipe are imported into wound in advance
The database table built up, to generate recipe scheme database.
Specifically, sharing N row × M in the database table created in advance and arranging a table, in each of the 1st row of database table
In a table, can be the corresponding bookmark name of different attribute label can be not in each table of the 2nd row to Nth row
The corresponding label substance with attribute tags, wherein every a line inserts all properties label substance of a recipe, also, the 2nd row
It is corresponded to the bookmark name in the label substance and each table of the first row in each table of Nth row.
Database table can only create one in advance, can also create multiple.It, can if creating multiple database tables
To classify to database table, i.e. a database table imports the corresponding attribute tags of recipe scheme of a certain seed type.Example
Such as, the different styles of cooking according to belonging to recipe scheme are classified, or are classified according to different culinary art types, are done so
It is advantageous in that the convenient management to database.
The database table for being imported into all recipes and corresponding to attribute tags data is stored, that is, is completed to recipe scheme
The building of database.
It should be noted that may include the complete of every country in the world and area in constructed recipe scheme database
Portion's recipe scheme on the books.In addition, for the recipe recipe attribute be arranged respective labels when, based on recipe attribute
Information must be confirmed and be widely recognized as by authoritative institution.
Fig. 4 is the flow chart before the step 250 shown in corresponding embodiment according to fig. 2.As shown in figure 4, the method includes
Following steps:
Step 230, the individuation data of user is obtained.
Step 240, the individuation data based on the user constructs recipe scheme recommended models for user.
In one embodiment, the individuation data for obtaining user, based on the individuation data of the user, for
Family building recipe scheme recommended models can be to be completed in the following way:
When obtaining the individuation data of user, the individuation data of the user, which can be, posts user's marking label
Recipe scheme.
In one embodiment in the specific implementation, posting the recipe scheme of user's marking label can obtain in the following way
It takes:
It, can be in such a way that user gives the recipe pushed at random marking before first time is user's recommending recipes scheme
Taste, that is, living habit of user is investigated.Specifically, user is given to push a recipe scheme, user is according to oneself happiness
Joyous degree marking is given a mark higher if more liked.For example, the recipe scheme of push is Guizhou dish version " Kung Pao chicken ", use
Family makes 90 scores, and the recipe scheme of push is Sichuan cuisine version " Kung Pao chicken ", and user makes 80 scores, and the recipe scheme of push is Shandong cuisine version
" Kung Pao chicken ", user makes 70 scores.It is noted herein that as needed, the recipe scheme of above-mentioned push can also be set
It sets more, however it is not limited to above-mentioned those of to be previously mentioned.
In one embodiment in the specific implementation, the recipe scheme for posting user's marking label based on the user, is
User, which constructs recipe scheme recommended models, can be building in the following way:
The recipe scheme for posting user's marking label is inputted into recipe scheme recommended models, is pushed away first by recipe scheme
It recommends model and exports the marking of the recipe scheme as a result, again carrying out marking result label corresponding with the recipe scheme
Compare, if it is inconsistent, adjustment recipe scheme recommended models, so that marking result label one corresponding with corresponding recipe scheme
It causes.
In one embodiment, the individuation data for obtaining user, based on the individuation data of the user, for
Family building recipe scheme recommended models can be to be completed in the following way:
Obtain user individuation data when, the individuation data of the user can refer to user taste data and
The physiological data of user.
In one embodiment in the specific implementation, the taste data of user and the physiological data of user can pass through such as lower section
Formula obtains:
Before first time is user's recommending recipes scheme, it can be obtained by way of providing questionnaire to user
The taste data and physiological data of user.Specifically, pushing a questionnaire to user, the content of questionnaire be can wrap
Include taste data survey and the physiological data investigation to user.For example, can be about taste data survey, " selection is favorite
Three styles of cooking ", " most liking to eat dry vegetalbe or soup dish ", " select " the favorite two culinary arts type of selection " between 0 to 100
One favorite peppery degree range " etc.;Investigating about physiological data, which can be, " selects a number between 0 to 100 to indicate
The degree of scarce protein, the extremely not scarce protein of 0 expression, the 100 scarce protein of expression extreme " " selects one between 0 to 100
Number indicates the degree of iron deficiency element, and 0 indicates extremely not iron deficiency, and 100 indicate extreme iron deficiencies ", " one is selected between 0 to 100
Count to indicate to lack ascorbic degree, 0 indicates not lack vitamin C extremely, and 100 indicate that extreme lacks vitamin C " etc..Here it needs
It should be noted that as needed, more investigation problems can also be arranged in questionnaire, however it is not limited to that above-mentioned being previously mentioned
A bit.
In one embodiment in the specific implementation, taste data and physiological data based on the user, construct for user
Recipe scheme recommended models can be to be completed in the following way:
Here it is worth noting that the recipe scheme recommended models of the building include the first recipe scheme recommended models and
Second recipe scheme recommended models.
Fig. 5 is the details flow chart according to the step 240 of the embodiment shown in Fig. 4 corresponding embodiment.Specifically include with
Lower step:
Step 2401, based on the taste data of the user, the first recipe scheme recommended models are constructed for user.
The first recipe scheme recommended models of the building, which can be based on decision tree, to be completed.Decision tree includes root section
Point, father node, child node and leaf node.The way of decision tree is that one attribute of each selection is judged, if cannot obtain
Conclusion out continues that other attributes is selected to be judged, the first recipe side until that can judge to recommend user " for certain "
Case either above-mentioned recipe attribute is all using finishing.
Specifically, for example, such as Fig. 7, according to the taste data of user, about recommending the decision tree of the first recipe scheme can be with
It is constructed: can first be judged according to the style of cooking that user likes recipe as follows, the peppery degree range then liked according to user
Work judges, if cannot draw a conclusion, the culinary art type for liking recipe further according to user judges, in this way and so on, directly
To it is concluded that until.
Step 2402, the physiological data based on the user constructs the second recipe scheme recommended models for user.
The second recipe scheme recommended models of the building, which can be based on decision tree, to be completed.Specifically, for example, according to
The physiological data of user, the decision tree about the second recipe scheme of recommendation can be constructed as follows: can first be lacked according to user
The degree of protein is judged, is then judged according to the degree of user's iron deficiency element work, if cannot draw a conclusion, further according to
The degree of user's iron deficiency element judges, in this way and so on, until it is concluded that until.
In one embodiment, the individuation data for obtaining user, based on the individuation data of the user, for
Family building recipe scheme recommended models can be to be completed in the following way:
The individuation data of the user can be to post user and like the recipe scheme for not liking label with user.
The recipe scheme recommended models can construct in the following manner: posting user by described and like not liking with user
The recipe scheme of joyous label inputs recipe scheme recommended models, and exporting the recipe scheme by recipe scheme recommended models first is
The no judgement liked by user as a result, judgement result label corresponding with the recipe scheme is compared again, if
It is inconsistent, then recipe scheme recommended models are adjusted, so that determining that result label corresponding with corresponding recipe scheme is consistent.
As discussed above, it should be understood that the individuation data for obtaining user, the personalized number based on the user
Those of according to the mode for constructing recipe scheme recommended models for user can be arbitrary, however it is not limited to go out as shown above.
Fig. 2 is a kind of flow chart of the recommended method of recipe scheme shown according to an exemplary embodiment.Such as Fig. 2 institute
Show, the method the following steps are included:
Step 250, the food materials image of food materials is obtained.
In one embodiment, the food materials image of the acquisition can be user and be taken pictures by electronic equipment to food materials
And obtain.
In one embodiment, the food materials image of the acquisition is also possible to that acquisition equipment or acquisition unit can be used
It acquires and obtains from the database for having food materials image.
In one embodiment, the food materials image of the acquisition can also be crawled from internet by running crawlers
And obtain.
In one embodiment, the food materials image of the acquisition can also be the transmission medium by data, read or
It receives the data that tester sends and obtains.
In one embodiment, the food materials image of the acquisition can also be through physical hard disk copy acquisition.
Step 260, based on the food materials image got, the food materials title in the food materials image is identified.
In one embodiment, the food materials title identified in food materials image can be the machine good by precondition
Device learning model identifies.
In one embodiment in the specific implementation, the machine learning model can refer to DPN model.
Wherein, the first layer of DPN model is the convolutional layer for most starting a 7*7;The second layer is maximum pond layer (Max
pooling);Third layer is 4 stage layers to layer 6, and each stage layers includes several sub-stage;Layer 7 is one
A global average pooling;8th layer is full articulamentum;The last layer is softmax layers in the present solution, passing through
The common 3*3 convolutional layer of original model is changed to 3 × 3 empty convolution kernels that a spreading rate is 2, receptive field with 5 × 5 it is general
Logical convolution kernel is identical.It is advantageous that receptive field can be increased, but compared to the common pond method for increasing receptive field, lose information
Less, the accuracy of identification of image is higher.
In the other of one embodiment in the specific implementation, the machine learning model is also possible to based on decision tree, manually
Neural network or decision forest scheduling algorithm and construct.
Step 270, based on the food materials title identified, the determining and institute from the recipe scheme database constructed in advance
State the relevant association recipe scheme of food materials title.
Specifically, determining association recipe side relevant to the food materials title in the recipe scheme database constructed in advance
What case was mainly completed according to each food materials name label in the recipe scheme for the recipe scheme database being generated in advance.For example,
The food materials gone out based on food materials image recognition include chicken, capsicum, cucumber and peanut, then, in recipe scheme database
Food materials name label is that all food materials of " food materials: chicken, capsicum, cucumber, peanut " will be confirmed as being associated with recipe scheme.With
For above-mentioned " Kung Pao chicken ", i.e. the Kung Pao chicken of Shandong cuisine version, Sichuan cuisine version and Guizhou dish version will be confirmed as associated food
Spectrum scheme.
Step 280, the recipe scheme recommended models constructed in response to being directed to user individual data in advance, from the pass
The recipe scheme of recommendation is selected in connection recipe scheme, to recommend user.
In one embodiment, the recipe scheme constructed in response to being directed to user individual data in advance recommends mould
Type, the recipe scheme that recommendation is selected from the association recipe scheme can be completed in the following way: the association is eaten
The input of spectrum scheme for the recipe scheme recommended models of user's building, exports the association by recipe scheme recommended models and eats in advance
The marking of spectrum scheme is as a result, be user's recommending recipes scheme further according to the marking result.
In one embodiment in the specific implementation, described specifically wrap according to the marking result for user's recommending recipes scheme
It includes: the selection highest association recipe scheme of marking result, the recipe scheme as recommendation.
In one embodiment in the specific implementation, described specifically wrap according to the marking result for user's recommending recipes scheme
Include: S association recipe schemes before the selection marking result, as the recipe scheme of recommendation, wherein S is just whole greater than 1
Number.
In one embodiment in the specific implementation, described specifically wrap according to the marking result for user's recommending recipes scheme
Include: the selection marking result is more than the association recipe scheme of predetermined threshold, the recipe scheme as recommendation.
In one embodiment, the recipe scheme constructed in response to being directed to user individual data in advance recommends mould
Type, the recipe scheme that recommendation is selected from the association recipe scheme can be completed in the following way:
Fig. 6 is the details flow chart of the step 280 of the embodiment shown in corresponding embodiment according to fig. 2.Specifically include with
Lower step:
Step 2801, the association recipe scheme is inputted into the first recipe scheme recommended models, is pushed away by the first recipe scheme
Recommend the first recipe scheme set that model output is recommended.
Specifically, for example, including Kung Pao chicken and the palace of Sichuan cuisine version of Shandong cuisine version in the first recipe scheme set recommended
Protect diced chicken.
Step 2802, the association recipe scheme is inputted into the second recipe scheme recommended models, is pushed away by the second recipe scheme
Recommend the second recipe scheme set that model output is recommended.
Specifically, for example, including the Kung Pao chicken and Sichuan cuisine version of Guizhou dish version in the first recipe scheme set recommended
Kung Pao chicken.
Step 2803, intersection handles the first recipe scheme set and the second recipe scheme set, by the association recipe of intersection
Scheme is as the recipe scheme recommended.
Specifically, for example, about the first recipe scheme set of Kung Pao chicken and the second recipe scheme collection in summary
It closes, intersection is exactly the Kung Pao chicken of Sichuan cuisine version, therefore the Kung Pao chicken of Sichuan cuisine version is recommended user.
It should be noted that recipe scheme recommended models here include the first recipe side described in above-described embodiment
Case recommended models and the second recipe scheme recommended models.
The advantage of this embodiment is that the first recipe scheme set and the second recipe scheme set are handled by intersection, it will
The association recipe scheme of intersection can comprehensively consider the taste preference and physiological status of user as the recipe scheme recommended,
So that recommending the recipe scheme of user with more personalized and specific aim.
As discussed above, it should be understood that the recipe side constructed in response to being directed to user individual data in advance
The mode of case recommended models, the recipe scheme for selecting recommendation from the association recipe scheme can be arbitrary, and unlimited
In it is as shown above go out those of.
In conclusion obtaining existing food materials information by identification food materials image, and combining the personal data of user is to use
Family recommends have targetedly personalized recipe scheme, is conducive to user more easily using food materials that are existing or admiring,
Furthermore there is personalized recipe recommendation also can increase the probability that recipe is easily accepted by a user, improves the efficiency and use of recipe recommendation
The experience at family.
It is the device of the invention embodiment below.
The disclosure additionally provides a kind of recommendation apparatus of recipe scheme.Fig. 8 is shown according to an exemplary embodiment one
The block diagram of the recommendation apparatus of kind recipe scheme.As shown in figure 8, device 800 includes:
Module 801 is obtained, is configured as obtaining food materials image;
Identification module 802 is configured as identifying the food materials title in the food materials image;
Determining module 803 is configured to determine that association recipe scheme relevant to the food materials title;
Selecting module 804 is configured as selecting the recipe scheme of recommendation.
According to the third aspect of the disclosure, a kind of electronic equipment that can be realized the above method is additionally provided.
Person of ordinary skill in the field it is understood that various aspects of the invention can be implemented as system, method or
Program product.Therefore, various aspects of the invention can be embodied in the following forms, it may be assumed that complete hardware embodiment, complete
The embodiment combined in terms of full Software Implementation (including firmware, microcode etc.) or hardware and software, can unite here
Referred to as circuit, " module " or " system ".
The electronic equipment 1000 of this embodiment according to the present invention is described referring to Fig. 9.The electronics that Fig. 9 is shown
Equipment 1000 is only an example, should not function to the embodiment of the present invention and use scope bring any restrictions.
As shown in figure 9, electronic equipment 1000 is showed in the form of universal computing device.The component of electronic equipment 1000 can be with
Including but not limited to: at least one above-mentioned processing unit 1010, connects not homologous ray group at least one above-mentioned storage unit 1020
The bus 1030 of part (including storage unit 1020 and processing unit 1010).
Wherein, the storage unit is stored with program code, and said program code can be held by the processing unit 1010
Row, so that various according to the present invention described in the execution of the processing unit 1010 above-mentioned " embodiment method " part of this specification
The step of illustrative embodiments.
Storage unit 1020 may include the readable medium of volatile memory cell form, such as Random Access Storage Unit
(RAM) 1021 and/or cache memory unit 1022, it can further include read-only memory unit (ROM) 1023.
Storage unit 1020 can also include program/utility with one group of (at least one) program module 1025
1024, such program module 1025 includes but is not limited to: operating system, one or more application program, other program moulds
It may include the realization of network environment in block and program data, each of these examples or certain combination.
Bus 1030 can be to indicate one of a few class bus structures or a variety of, including storage unit bus or storage
Cell controller, peripheral bus, graphics acceleration port, processing unit use any bus structures in a variety of bus structures
Local bus.
Electronic equipment 1000 can also be with one or more external equipments 1200 (such as keyboard, sensing equipment, bluetooth equipment
Deng) communication, can also be enabled a user to one or more equipment interact with the electronic equipment 1000 communicate, and/or with make
The electronic equipment 1000 can with it is one or more of the other calculating equipment be communicated any equipment (such as router, modulation
Demodulator etc.) communication.This communication can be carried out by input/output (I/O) interface 1050.Also, electronic equipment 1000
Network adapter 1060 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public affairs can also be passed through
Common network network, such as internet) communication.As shown, network adapter 1060 passes through its of bus 1030 and electronic equipment 1000
The communication of its module.It should be understood that although not shown in the drawings, other hardware and/or software can be used in conjunction with electronic equipment 1000
Module, including but not limited to: microcode, device driver, redundant processing unit, external disk drive array, RAID system, magnetic
Tape drive and data backup storage system etc..
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the disclosure
The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server, terminal installation or network equipment etc.) is executed according to disclosure embodiment
Method.
According to the fourth aspect of the disclosure, a kind of computer readable storage medium is additionally provided, being stored thereon with can be real
The program product of existing this specification above method.In some possible embodiments, various aspects of the invention can also be real
It is now a kind of form of program product comprising program code, when described program product is run on the terminal device, the journey
Sequence code is each according to the present invention described in above-mentioned " illustrative methods " part of this specification for executing the terminal device
The step of kind illustrative embodiments.
Refering to what is shown in Fig. 10, describing the program product for realizing the above method of embodiment according to the present invention
1100, can using portable compact disc read only memory (CD-ROM) and including program code, and can in terminal device,
Such as it is run on PC.However, program product of the invention is without being limited thereto, in this document, readable storage medium storing program for executing can be with
To be any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or
It is in connection.
Described program product can be using any combination of one or more readable mediums.Readable medium can be readable letter
Number medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or
System, device or the device of semiconductor, or any above combination.The more specific example of readable storage medium storing program for executing is (non exhaustive
List) include: electrical connection with one or more conducting wires, portable disc, hard disk, random access memory (RAM), read-only
Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory
(CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
In carry readable program code.The data-signal of this propagation can take various forms, including but not limited to electromagnetic signal,
Optical signal or above-mentioned any appropriate combination.Readable signal medium can also be any readable Jie other than readable storage medium storing program for executing
Matter, the readable medium can send, propagate or transmit for by instruction execution system, device or device use or and its
The program of combined use.
The program code for including on readable medium can transmit with any suitable medium, including but not limited to wirelessly, have
Line, optical cable, RF etc. or above-mentioned any appropriate combination.
The program for executing operation of the present invention can be write with any combination of one or more programming languages
Code, described program design language include object oriented program language-Java, C++ etc., further include conventional
Procedural programming language-such as " C " language or similar programming language.Program code can be fully in user
It calculates and executes in equipment, partly executes on a user device, being executed as an independent software package, partially in user's calculating
Upper side point is executed on a remote computing or is executed in remote computing device or server completely.It is being related to far
Journey calculates in the situation of equipment, and remote computing device can pass through the network of any kind, including local area network (LAN) or wide area network
(WAN), it is connected to user calculating equipment, or, it may be connected to external computing device (such as utilize ISP
To be connected by internet).
In addition, above-mentioned attached drawing is only the schematic theory of processing included by method according to an exemplary embodiment of the present invention
It is bright, rather than limit purpose.It can be readily appreciated that the time that above-mentioned processing shown in the drawings did not indicated or limited these processing is suitable
Sequence.In addition, be also easy to understand, these processing, which can be, for example either synchronously or asynchronously to be executed in multiple modules.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and
And various modifications and change can executed without departing from the scope.The scope of the present invention is limited only by the attached claims.
Claims (10)
1. a kind of recommended method of recipe scheme characterized by comprising
Obtain the food materials image of food materials;
Based on the food materials image got, the food materials title in the food materials image is identified;
Based on the food materials title identified, determined and the food materials title phase from the recipe scheme database constructed in advance
The association recipe scheme of pass;
The recipe scheme recommended models constructed in response to being directed to user individual data in advance, from the association recipe scheme
The recipe scheme of recommendation is selected, to recommend user.
2. the method according to claim 1, wherein the method is also before the food materials image for obtaining food materials
Include:
Obtain recipe scheme and the corresponding recipe attribute of the recipe scheme;
Based on recipe attribute corresponding to recipe scheme and recipe scheme, recipe scheme database is constructed, wherein the recipe side
It include several recipe schemes in case database.
3. the method according to claim 1, wherein the method is also before the food materials image for obtaining food materials
Include:
Obtain the individuation data of user;
Based on the individuation data of the user, recipe scheme recommended models are constructed for user.
4. according to the method described in claim 2, it is characterized in that, described based on food corresponding to recipe scheme and recipe scheme
It composes attribute and constructs recipe scheme database, comprising:
Recipe attribute information based on each recipe generates recipe attribute tags;
The recipe attribute tags data are imported into database table created in advance, to generate recipe scheme database.
5. according to the method described in claim 3, it is characterized in that, the individuation data of the user is to post user's marking mark
The recipe scheme of label,
The recipe scheme recommended models construct in the following manner: the recipe scheme for posting user's marking label is inputted
Recipe scheme recommended models export the marking of the recipe scheme by recipe scheme recommended models as a result, described will beat again first
Point result marking label corresponding with the recipe scheme is compared, if it is inconsistent, adjustment recipe scheme recommended models,
So that marking result marking label corresponding with corresponding recipe scheme is consistent.
6. according to the method described in claim 3, it is characterized in that, the individuation data of the user includes the taste number of user
According to the physiological data with user, the recipe scheme recommended models include the first recipe scheme recommended models and the second recipe scheme
Recommended models,
The individuation data based on the user constructs recipe scheme recommended models for user, comprising:
Taste data based on the user construct the first recipe scheme recommended models for user;
Based on the physiological data of the user, the second recipe scheme recommended models are constructed for user.
7. according to the method described in claim 6, it is characterized in that, described in response to the structure for user individual data in advance
The recipe scheme recommended models built select the recipe scheme of recommendation from the association recipe scheme, comprising:
The association recipe scheme is inputted into the first recipe scheme recommended models, is exported and is recommended by the first recipe scheme recommended models
The first recipe scheme set;
The association recipe scheme is inputted into the second recipe scheme recommended models, is exported and is recommended by the second recipe scheme recommended models
The second recipe scheme set;
Intersection handles the first recipe scheme set and the second recipe scheme set, with the recipe scheme recommended.
8. a kind of recommendation apparatus of recipe scheme, which is characterized in that described device includes:
Module is obtained, for obtaining the food materials image of food materials;
Identification module, for identification the food materials title in the food materials image out;
Determining module, for determining association recipe scheme relevant to the food materials title;
Selecting module, for selecting the recipe scheme of recommendation.
9. a kind of computer-readable program medium, which is characterized in that it is stored with computer program instructions, when the computer journey
When sequence instruction is computer-executed, computer is made to execute method according to any one of claim 1 to 7.
10. a kind of electronic equipment, which is characterized in that the electronic equipment includes:
Processor;
Memory is stored with computer-readable instruction on the memory, and the computer-readable instruction is held by the processor
When row, method as described in any one of claim 1 to 7 is realized.
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