CN109344323A - Information-pushing method - Google Patents
Information-pushing method Download PDFInfo
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- CN109344323A CN109344323A CN201810949777.0A CN201810949777A CN109344323A CN 109344323 A CN109344323 A CN 109344323A CN 201810949777 A CN201810949777 A CN 201810949777A CN 109344323 A CN109344323 A CN 109344323A
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- information
- raw material
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- menu information
- menu
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
Abstract
This application discloses information-pushing methods.One specific embodiment of this method includes: based on the raw material mark got, determine the recommendation menu information for being pushed to user, wherein, the image for the raw material that raw material mark is obtained based on the terminal shooting raw material to user carries out image recognition or identifies corresponding voice progress speech recognition to raw material and get, each is recommended menu information to be identified based on at least partly raw material in the raw material mark got and determined；The recommendation menu information determined is pushed to user.It realizes according to the raw material mark got, finds out menu information automatically, recommend menu information to user, allow a user knowledge of the dish that can be cooked using raw material.
Description
Technical field
This application involves computer fields, and in particular to internet area more particularly to information-pushing method.
Background technique
When user cooks, the needs how cuisine is cooked often are known about.Usual user needs by searching
Index holds up the title of the cuisine of input expectation culinary art, voluntarily filters out the menu class of cuisine from all search results by user
Search result.
Summary of the invention
The embodiment of the present application provides information-pushing method.
The embodiment of the present application provides information-pushing method, this method comprises: being determined based on the raw material mark got
It is pushed to the recommendation menu information of user, wherein the former material that raw material mark is obtained based on the terminal shooting raw material to user
The image of material carries out image recognition or identifies corresponding voice progress speech recognition to raw material and get, each recommends dish
Spectrum information is identified based on at least partly raw material in the raw material mark got and is determined；The recommendation menu determined is believed
Breath is pushed to user.
Information-pushing method provided by the embodiments of the present application, by being identified based on the raw material got, determination is pushed to
The recommendation menu information of user, wherein the figure for the raw material that raw material mark is obtained based on the terminal shooting raw material to user
It is got as carrying out image recognition or identifying corresponding voice progress speech recognition to raw material, each recommends menu information
It is determined based on at least partly raw material mark in the raw material mark got；The recommendation menu information determined is pushed
To user.It realizes according to the raw material mark got, finds out menu information automatically, recommend menu information to user, make
It obtains user and understands the dish that can be cooked using raw material.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 shows the exemplary system architecture that can be applied to the embodiment of information-pushing method of the application；
Fig. 2 shows the flow charts according to one embodiment of the information-pushing method of the application；
Fig. 3 shows a flow diagram for pushing to user and recommending menu information.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, part relevant to related invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 shows the exemplary system architecture for being suitable for being used to realize the embodiment of the present application.
As shown in Figure 1, system architecture may include terminal 101, network 102, server 103.Network 102 may include each
Kind connection type, such as wired, wireless transmission link or fiber optic cables etc..
Terminal 101 transmits data by network 102 and server 103, and terminal 101 can include but is not limited to intelligent hand
Machine, tablet computer, E-book reader, pocket computer on knee, desktop computer.
The user of terminal 101 can shoot raw material and obtain raw material image or the corresponding voice of input raw material mark.
Can terminal 101 to raw material image carry out image recognition obtain raw material mark or to raw material identify corresponding voice into
Row speech recognition obtains raw material mark.Image recognition can also be carried out to raw material image in server 103 and obtain raw material
Mark obtains raw material mark to the corresponding voice progress speech recognition of raw material mark.Server 103 can be according to acquisition
The one or more raw material mark arrived, determines the recommendation menu information for being pushed to user, and menu information will be recommended to be sent to
Terminal 101.
Referring to FIG. 2, it illustrates the flow charts according to one embodiment of the information-pushing method of the application.The application
Information-pushing method provided by embodiment can be executed by server (server 103 of example as shown in figure 1).This method include with
Lower step:
Step 201, based on the raw material mark got, the recommendation menu information for being pushed to user is determined.
In the present embodiment, raw material mark can be raw material title.The raw material mark got is based on to former material
The image of material carries out image recognition or identifies corresponding voice progress speech recognition to raw material and obtain.User can use end
End shooting raw material, the image or user for obtaining raw material input raw material at the terminal and identify corresponding voice.
For example, user can use terminal and shoot to multiple raw material when user is when raw material are bought in food market,
The image of multiple raw material is obtained, image recognition can be carried out to the image of multiple raw material, obtains multiple raw material marks.Again
It is shot for example, user opens refrigerator using terminal, it, can be to bat comprising all raw material in refrigerator in the image of shooting
The image taken the photograph carries out image recognition, obtains multiple raw material marks.
It, can when the image to raw material carries out image recognition or identifies corresponding voice progress speech recognition to raw material
To carry out image recognition in image of the terminal of user to raw material or identify corresponding voice to raw material to carry out speech recognition,
Obtain raw material mark.The image of raw material or raw material can also be identified into corresponding voice by the terminal of user and be sent to clothes
Business device, server can carry out image recognition to the image of raw material or identify corresponding voice progress voice knowledge to raw material
Not, raw material mark is obtained.The image of raw material can also be sent to server by the terminal of user, by server to image
Image recognition is carried out, identifies raw material, obtains raw material mark.
In the present embodiment, a menu information belongs to a course.The menu information of a course includes cooking the course institute
The raw material mark of the raw material needed.The menu information for being used to be pushed to user can be referred to as to recommend menu information.It obtains
The raw material mark arrived can be one or more, and the quantity for the recommendation menu information for being pushed to user determined can be more
A, it includes at least partly raw material mark in all raw material mark got that each, which recommends menu information,.
It in the present embodiment, can be with pre-stored multiple menu informations.It identifies, determines when based on the raw material got
When being pushed to the recommendation menu information of user, it can be found out from pre-stored multiple menu informations and be pushed to pushing away for user
Recommend menu information.Each recommends menu information true based on at least partly raw material mark in the raw material mark got
It is fixed.It includes at least partly raw material in the raw material got that each, which recommends menu information,.Each recommends menu information
It can also only include at least partly raw material mark in the raw material mark got.
For example, including all raw material mark got, the then menu information in a pre-stored menu information
It can be used as recommendation menu information.In another example when all raw material in a pre-stored menu information comprising getting
Part raw material mark in mark, then the menu information can also be used as recommendation menu information.
In the present embodiment, it can be to wrap as much as possible that determines, which is pushed to each recommendation menu information of user,
Menu information containing the raw material mark got.
For example, when in menu information comprising two raw material mark in all raw material mark that gets, separately
It include three raw material mark in all raw material mark got in one menu information, then it preferentially will be comprising getting
All raw material mark in three raw material mark menu information as the recommendation menu information for being pushed to user.
In the present embodiment, each raw material for getting are identified, is determining all to be pushed to pushing away for user
It recommends in menu information, all has the recommendation menu information comprising raw material mark.
In some optional implementations of the present embodiment, when based on the raw material mark got, determination is pushed to
When the recommendation menu information of user, candidate menu information can be found out from presetting database, presetting database include: including
The menu information of raw material mark, the corresponding related information of menu information.It include a plurality of record, a record in presetting database
For the menu information of a course and the related information of the menu information.The candidate menu of each found out from presetting database
Information includes following one: the raw material mark that at least one raw material in raw material mark got are identified, got
Raw material other than at least one raw material mark in knowledge and the raw material in addition to getting identify identify.From preset data
It, can be based on the corresponding related information of candidate menu information, from all candidates after finding out all candidate menu informations in library
Part candidate's menu information is selected in menu information as recommendation menu information.
For example, the corresponding related information of menu information includes: pageview.It can be right according to the sequence of pageview from high to low
All candidate's menu informations are ranked up, and the order of the highest candidate menu information of pageview is 1, and order is less than order threshold value
Multiple candidate menu informations as recommending menu informations to be pushed to user, i.e., using the forward candidate menu information of pageview as
Menu information is recommended to be pushed to user.
In some optional implementations of the present embodiment, menu information be can include but is not limited to: raw material mark
The attribute information of affiliated raw material, cooking step information.One menu information can correspond to a course.For example, raw material mark
The attribute information of raw material belonging to knowing includes the content information of raw material belonging to raw material mark.One menu information is used for
It is supplied to user aid user and cooks " Kung Pao chicken " this course, include: the former materials such as chicken, shelled peanut, green onion in the menu information
The content information of material and the cooking step information of the course.
In some optional implementations of the present embodiment, the corresponding related information of menu information include: flavor information,
Evaluation information, evaluation information include: the quantity of comment information, the quantity of comment information, favorable comment instruction information.It can be previously according to
The corresponding flavor of menu information for being pushed to user that user browsed be pushed to the menu information of user or user comment is crossed
For example peppery, sour, sweet tea of information etc. determines for example peppery, sour, sweet tea of the taste preference of user etc..Taste can also be presented to user in advance
The option of preference determines the taste preference of user by user clicks on tabs.Favorable comment instruction information can indicate user to being pushed to
The favorable comment of the recommendation menu information of user.For example, user clicks primary name when being pushed to the menu information of user for browsing one
The button referred to as " thumbed up " then generates the favorable comment for being pushed to the menu information of user and indicates information.User can pass through
The comment information to the menu information for being pushed to user is inputted in terminal, the terminal by user will believe the menu for being pushed to user
The comment information of breath is sent to server, is stored on the server.When based on the corresponding related information of candidate menu information,
When selecting part candidate's menu information as menu information is recommended from all candidate menu informations, it can select corresponding
The matched candidate menu information of the taste preference of flavor information and user is as recommendation menu information.It can also be according to comment information
Quantity or the quantity of favorable comment instruction information all candidate menu informations are ranked up, order is less than to the candidate of order threshold value
Menu information is as recommendation menu information.
In some optional implementations of the present embodiment, when based on the raw material mark got, determination is pushed to
When the recommendation menu information of user, candidate menu information can be found out from presetting database.The taste of available user
Preference information finds out the candidate menu information for meeting default recommendation condition from all candidate menu informations, presets and recommend item
Part includes: the taste preference information matches of the flavor information and user in corresponding related information.It can be from all candidate menus
The candidate menu information of the taste preference information matches of the flavor information and user in corresponding related information is found out in information
As the candidate menu information for meeting default recommendation condition.It is then possible to the time based on the default recommendation condition of satisfaction found out
The evaluation information in the corresponding related information of menu information is selected, the candidate menu information for meeting default recommendation condition is arranged
Sequence.The number of the comment information in the corresponding related information of candidate menu information that each meets default recommendation condition can be calculated
Then the sum of the quantity of amount and favorable comment instruction information meets the candidate menu information pair of default recommendation condition according to calculated result
All candidate menu informations for meeting default recommendation condition are ranked up, after sequence, by the default recommendation of satisfaction after sequence
Order in the candidate menu information of condition is less than the candidate menu information of order threshold value as recommendation menu information.
In some optional implementations of the present embodiment, the option that raw material identify can be presented to user in advance,
The raw material liked mark is chosen by user, determines the raw material mark that user likes.The use that can also be chosen according to user
Raw material mark in the recommendation menu information that raw material mark in the recommendation menu information of culinary art, user give favorable comment
Deng determining the raw material mark that user likes.
When finding out the candidate menu information for meeting default recommendation condition from candidate menu information, recommendation condition is preset
Further include: user is identified as including at least partly raw material in the raw material mark other than the raw material mark got
Raw material preference information in user like raw material mark.When a candidate menu information include in addition to getting
At least partly raw material in raw material mark except raw material mark are identified as the use in the raw material preference information of user
When the raw material mark that family is liked, then candidate's menu information is to meet the candidate menu information of default recommendation condition.
In some optional implementations of the present embodiment, recommendation condition is preset further include: do not include the former material of user
The raw material mark that user in material preference information does not like.When a candidate menu information includes the raw material preference letter of user
When the raw material mark that the user in breath does not like, then not using candidate's menu information as recommendation menu information.
It, can be based on history associated with the predetermined registration operation of user in some optional implementations of the present embodiment
Recommend the flavor information in the corresponding related information of menu information, generates the taste preference information of user, predetermined registration operation includes: clear
Look at operation, comment operation, favorable comment instruction operation, for choose menu information be used as culinary art menu information selection grasp
Make.In other words, pushed when one to user recommendation menu information satisfaction browsed by the user, crossed by the user comment,
At least one condition giving favorable comment by the user, being chosen for by the user in the conditions such as the menu information for culinary art, then
The history associated with the predetermined registration operation of user that can be used as the taste preference for analyzing the user recommends menu information.It can
Favorable comment was browsed, be commented on, given according to user, is chosen by the user as the history for culinary art and recommends menu information
Flavor information in corresponding related information determines the taste preference information of user.
It, can be based on history associated with the predetermined registration operation of user in some optional implementations of the present embodiment
Recommend menu information, determines the raw material mark that user likes.For example, the history for culinary art that can be chosen according to user
The raw material mark in menu information, user is recommended to give the raw material mark etc. in the history recommendation menu information of favorable comment, really
Determine the raw material mark that user likes.Can be recommended based on history that user did not browsed menu information and with the default behaviour of user
Making associated history recommends the different raw material in menu information to identify, and determines the raw material mark that user does not like.Example
Such as, the history that user did not browsed can be recommended not appearing in go through associated with the predetermined registration operation of user in menu information
History recommends the raw material mark in menu information to be determined as the raw material mark that user does not like.
In some optional implementations of the present embodiment, each recommend menu information be respectively provided with one it is initial
Order is presented, the initial presentation order of a recommendation menu information is the evaluation information based on menu information to all recommendation dishes
Spectrum information recommends the order of menu information after being ranked up.It can determine in all recommendation menu informations and meet regularization condition
Recommend menu information, regularization condition includes: to push to user or recommended with the history for being pushed to user within a preset period of time
The quantity for the identical raw material mark that menu information includes is greater than amount threshold.Preset time period can be to work as from a distance
To the period between current time at the time of preceding moment preset duration.For being pushed to user in all recommendation menu informations
Cross or be pushed within a preset period of time user history recommend menu information include identical raw material mark quantity
Greater than the recommendation menu information of amount threshold, order is presented in adjustment, and order adjusted is greater than initial order.
In some optional implementations of the present embodiment, can to recommend in menu information in addition to the original that gets
Raw material mark except material mark is labeled.Labeling form can be for other than the raw material mark in addition to getting
Raw material of the prompt user purchase presented on the position of appearing of raw material mark other than the raw material mark got
The prompt text of raw material belonging to mark.
For example, the recommendation menu information determined is used for comprising chicken, shelled peanut in the raw material mark got
It is supplied to user aid user and cooks " Kung Pao chicken " this course, include: " chicken ", " shelled peanut ", " green onion " in the menu information
The raw material mark i.e. markup information of " green onion " other than equal raw material mark and the mark of the raw material in addition to getting." green onion " exists
The text for such as " also needing to buy this raw material " presented on the position of appearing of " green onion ".
Step 202, the recommendation menu information determined is pushed to user.
It in the present embodiment, can be in the terminal of user each after it menu information will be recommended to be pushed to user
It is presented in a corresponding presentation region of recommendation menu information and recommends menu information.To which user, which is recognized that, to be got
All raw material mark belonging to raw material which dish can be made into respectively.
It, can be based in the corresponding related information of recommendation menu information in some optional implementations of the present embodiment
At least partly item, generate and recommend the corresponding rationale for the recommendation information of menu information, the corresponding rationale for the recommendation of menu information will be recommended
Comment information in information evaluation information corresponding with menu information is recommended is pushed to user.Rationale for the recommendation information and determining push
To user recommendation menu information when based on related information it is associated.For example, being selected when from all candidate menu informations
Flavor information and the taste preference information matches of user and the quantity of information is indicated according to favorable comment to be ranked up rear order forward
Candidate menu information as menu information is recommended when, rationale for the recommendation information can be for such as " flavor that you like obtains very
The menu of multi-user's favorable comment ".
In some optional implementations of the present embodiment, user can input number of meals information in terminal, obtain
After getting number of meals, number of meals information can be generated.The number of meals information hair that the terminal of user can will acquire
It send to server.Server can adjust according to the number of meals information got and recommend containing for the raw material in menu information
Magnitude.Preset content and preset number of meals in pre-stored multiple menu informations comprising raw material.Preset use
Meal number is to cook the number of meals that the corresponding dish of menu information is suitable for preset content.The use got can be calculated
The number of meals of number information's instruction and the ratio of preset number of meals of eating adjust recommendation menu according to calculated ratio
The content value of raw material in information.Content value to the raw material in the recommendation menu information of user is content adjusted
Value.
In some optional implementations of the present embodiment, user can be in all raw material marks got
The part raw material mark that user chooses carries out delete operation, can be in response to user to the use in the raw material mark got
The part raw material mark that family is chosen carries out delete operation, based in the raw material mark got in addition to deleted part
Raw material mark except raw material mark, redefines the recommendation menu information for being pushed to user.Then, it will redefine out
Recommendation menu information be pushed to user.
In some optional implementations of the present embodiment, user can select use from all recommendation menu informations
In the menu information of culinary art, the recommendation menu information and nutrition configuration information for culinary art that can be chosen based on user are generated
Advisory information.Multiple recommendation menu informations are being pushed to user, presented in the terminal of user multiple recommendation menu informations it
Afterwards, when user it is expected that cooking at least one recommends the corresponding dish of menu information, user can choose at least one and recommend menu
Information.The content for the nutritional ingredient for needing to take in for the recommendation menu information of culinary art and instruction that can be chosen based on user
Nutrition configuration information determines that supplemental information, supplemental information indicate the nutritional ingredient and the insufficient nutritional ingredient of content lacked.It can be with
Based on supplemental information, advisory information is generated, it is proposed that information is used to suggest that user's purchase and the nutritional ingredient and content that lack to be insufficient
The associated raw material of nutritional ingredient or finished product dish.
Referring to FIG. 3, it illustrates push a flow diagram for recommending menu information to user.
User shoots the raw material such as chicken, beef, romaine lettuce, cucumber, asparagus lettuce or input raw material identify corresponding voice.With
The image of raw material or raw material can be identified corresponding voice and be sent to server by the terminal at family.Server is to raw material
Image carries out image recognition or identifies corresponding voice progress speech recognition to raw material, obtains raw material mark.Server can
To determine N number of recommendation menu information according to the raw material mark got.It includes to get that each, which recommends menu information,
At least partly raw material identify.The recommendation menu information determined is sent to terminal by server, is presented at the terminal to user
Recommend menu information.
Present invention also provides a kind of server, which can be configured with one or more processors；Memory is used
In storing one or more programs, may include in one or more programs to execute operation described in above-described embodiment
Instruction.When one or more programs are executed by one or more processors, so that one or more processors execute above-mentioned reality
Apply operation described in example.
Present invention also provides a kind of computer-readable medium, which can be included on server
's；It is also possible to individualism, without on supplying server.The computer-readable medium carries one or more program,
When one or more program is executed by the server, so that the server: based on the raw material mark got, determination is pushed away
Give the recommendation menu information of user, wherein the raw material that raw material mark is obtained based on the terminal shooting raw material to user
Image carry out image recognition or identify corresponding voice to raw material carrying out speech recognition and get, each recommends menu
Information is identified based on at least partly raw material in the raw material mark got and is determined；The recommendation menu information that will be determined
It is pushed to user.
It should be noted that computer-readable medium described herein can be computer-readable signal media or meter
Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium can be for example but not limited to
Electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.It is computer-readable
The more specific example of storage medium can include but is not limited to: have electrical connection, the portable computing of one or more conducting wires
Machine disk, hard disk, random access storage device (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.In this application, computer readable storage medium can be it is any include or storage program it is tangible
Medium, the program can be commanded execution system, device or device use or in connection.And in this application,
Computer-readable signal media may include in a base band or as the data-signal that carrier wave a part is propagated, wherein carrying
Computer-readable program code.The data-signal of this propagation can take various forms, and including but not limited to electromagnetism is believed
Number, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer-readable storage medium
Any computer-readable medium other than matter, the computer-readable medium can be sent, propagated or transmitted for being held by instruction
Row system, device or device use or program in connection.The program code for including on computer-readable medium
It can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. or above-mentioned any conjunction
Suitable combination.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from the design of the application, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed herein
Can technical characteristic replaced mutually and the technology that is formed.
Claims (17)
1. a kind of information-pushing method, which comprises
Based on the raw material mark got, determine and be pushed to the recommendation menu information of user, wherein raw material mark based on pair
The image of raw material that the terminal shooting raw material of user obtain carry out image recognition or to raw material identify corresponding voice into
Row speech recognition and get, each recommend menu information based on get raw material mark at least partly raw material
It identifies and determines；
The recommendation menu information determined is pushed to user.
2. the method according to claim 1 determines the recommendation for being pushed to user based on the raw material mark got
Menu information includes:
Find out candidate menu information from presetting database, presetting database include: menu information including raw material mark,
The corresponding related information of menu information, wherein a candidate menu information includes following one: in the raw material mark got
At least one raw material mark, get raw material mark at least one raw material mark and the original in addition to getting
Raw material mark except material mark；
Based on the corresponding related information of candidate menu information, part candidate's menu information is selected from all candidate menu informations
As recommendation menu information.
3. according to the method described in claim 2, menu information further include: the attribute letter of raw material belonging to raw material mark
Breath, cooking step information.
4. the method according to claim 3, the corresponding related information of menu information includes: flavor information, evaluation letter
Breath, evaluation information include: the quantity of comment information, the quantity of comment information, favorable comment instruction information.
5. according to the method described in claim 4, the method also includes:
It is labeled to recommending the raw material other than the raw material mark got in menu information to identify.
6. according to the method described in claim 5, the method also includes:
Based on at least partly item recommended in the corresponding related information of menu information, generates and recommend the corresponding recommendation reason of menu information
By information；
It will recommend the comment information in the corresponding rationale for the recommendation information of menu information evaluation information corresponding with menu information is recommended
It is pushed to user.
7. according to the method described in claim 6, the raw material in menu information identify the attribute information packet of affiliated raw material
It includes: the content information of raw material belonging to raw material mark；And
The method also includes:
Based on the number of meals information of user's input, determines and recommend containing for raw material belonging to the mark of the raw material in menu information
Measure information.
8. according to the method described in claim 7, the method also includes:
It needs to take in for the recommendation menu information of culinary art and instruction based on what user selected from all recommendation menu informations
Nutritional ingredient content nutrition configuration information, determine supplemental information, nutritional ingredient that the supplemental information instruction lacks and
The insufficient nutritional ingredient of content；
Based on supplemental information, advisory information is generated, and advisory information is pushed to user, it is proposed that information is for suggesting that user purchases
Buy raw material associated with the insufficient nutritional ingredient of nutritional ingredient and content lacked or finished product dish.
9. the method according to one of claim 2-8, based on the corresponding related information of candidate menu information, from all candidates
Part candidate's menu information is selected in menu information as recommendation menu information includes:
Obtain the taste preference information of user；
The candidate menu information for meeting default recommendation condition is found out from all candidate menu informations, presets recommendation condition packet
It includes: the taste preference information matches of flavor information and user in corresponding related information；
Based on the evaluation information in the corresponding related information of candidate menu information, the candidate menu for meeting default recommendation condition is believed
Breath is ranked up；
The candidate menu that order in the candidate menu information of the default recommendation condition of satisfaction after sequence is less than order threshold value is believed
Breath is as recommendation menu information.
10. according to the method described in claim 9, the default recommendation condition further include: including in addition to the former material that gets
At least partly raw material in raw material mark except material mark are identified as the happiness of the user in the raw material preference information of user
Joyous raw material mark.
11. according to the method described in claim 10, the default recommendation condition further include: do not include the raw material preference of user
The raw material mark that user in information does not like.
12. the method according to claim 11, the method also includes:
It is raw based on the flavor information in related information corresponding with the associated history recommendation menu information of the predetermined registration operation of user
At the taste preference information of user, predetermined registration operation includes: browse operation, comment operates, favorable comment instruction operates, for choosing menu
Selection operation of the information as the menu information for culinary art.
13. the method according to claim 11, the method also includes:
Recommend menu information based on history associated with the predetermined registration operation of user, determines the raw material mark that user likes；
Menu information is recommended to recommend with the history associated with the predetermined registration operation of user based on the history that user did not browsed
Different raw material marks in menu information determine the raw material mark that user does not like.
14. the method according to claim 11, the method also includes:
Determine the recommendation menu information for meeting regularization condition in all recommendation menu informations, regularization condition includes: to push away to user
Pass through or be pushed within a preset period of time user history recommend menu information include identical raw material mark number
Amount is greater than amount threshold；
Adjustment meets the presentation order of the recommendation menu information of regularization condition, wherein each recommends menu information to be respectively provided with
One initial presentation order, one is recommended the initial presentation order of menu information to be ranked up rear institute based on evaluation information
State the order for recommending menu information.
15. the method according to claim 11, the method also includes:
Delete operation is carried out to the part raw material mark in the raw material mark got in response to user, based on what is got
The raw material mark other than deleted part raw material mark in raw material mark, redefines and is pushed to user's
Recommend menu information；
The recommendation menu information redefined out is pushed to user.
16. a kind of server, comprising:
One or more processors；
Memory, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors
Realize the method as described in any in claim 1-15.
17. a kind of computer-readable medium, is stored thereon with computer program, such as right is realized when which is executed by processor
It is required that any method in 1-15.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810949777.0A CN109344323A (en) | 2018-08-20 | 2018-08-20 | Information-pushing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810949777.0A CN109344323A (en) | 2018-08-20 | 2018-08-20 | Information-pushing method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109344323A true CN109344323A (en) | 2019-02-15 |
Family
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| Application Number | Title | Priority Date | Filing Date |
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| CN201810949777.0A Pending CN109344323A (en) | 2018-08-20 | 2018-08-20 | Information-pushing method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109815420A (en) * | 2019-03-27 | 2019-05-28 | 海信（山东）冰箱有限公司 | A kind of information-pushing method and equipment |
| CN111552874A (en) * | 2020-04-24 | 2020-08-18 | 海信集团有限公司 | Refrigerator and recipe recommendation method |
| CN112232916A (en) * | 2020-10-23 | 2021-01-15 | 杭州拼便宜网络科技有限公司 | Commodity recommendation method, device and equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106372138A (en) * | 2016-08-26 | 2017-02-01 | 乐视控股（北京）有限公司 | Information processing method and apparatus |
| CN106955013A (en) * | 2017-03-30 | 2017-07-18 | 上海斐讯数据通信技术有限公司 | A kind of method of intelligent kitchen cooking system and intelligent auxiliary cooking |
| CN107341350A (en) * | 2017-07-05 | 2017-11-10 | 百度在线网络技术（北京）有限公司 | Food materials intelligent management and device, server, intelligent refrigerator, storage medium |
| CN107844534A (en) * | 2017-10-18 | 2018-03-27 | 广东美的厨房电器制造有限公司 | A kind of menu recommends method and cooking equipment |
| CN107863138A (en) * | 2017-10-31 | 2018-03-30 | 珠海格力电器股份有限公司 | Menu generating means and method |
| CN108134809A (en) * | 2016-12-01 | 2018-06-08 | 佛山市顺德区美的电热电器制造有限公司 | A kind of methods, devices and systems of information push |
-
2018
- 2018-08-20 CN CN201810949777.0A patent/CN109344323A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106372138A (en) * | 2016-08-26 | 2017-02-01 | 乐视控股（北京）有限公司 | Information processing method and apparatus |
| CN108134809A (en) * | 2016-12-01 | 2018-06-08 | 佛山市顺德区美的电热电器制造有限公司 | A kind of methods, devices and systems of information push |
| CN106955013A (en) * | 2017-03-30 | 2017-07-18 | 上海斐讯数据通信技术有限公司 | A kind of method of intelligent kitchen cooking system and intelligent auxiliary cooking |
| CN107341350A (en) * | 2017-07-05 | 2017-11-10 | 百度在线网络技术（北京）有限公司 | Food materials intelligent management and device, server, intelligent refrigerator, storage medium |
| CN107844534A (en) * | 2017-10-18 | 2018-03-27 | 广东美的厨房电器制造有限公司 | A kind of menu recommends method and cooking equipment |
| CN107863138A (en) * | 2017-10-31 | 2018-03-30 | 珠海格力电器股份有限公司 | Menu generating means and method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109815420A (en) * | 2019-03-27 | 2019-05-28 | 海信（山东）冰箱有限公司 | A kind of information-pushing method and equipment |
| CN111552874A (en) * | 2020-04-24 | 2020-08-18 | 海信集团有限公司 | Refrigerator and recipe recommendation method |
| CN111552874B (en) * | 2020-04-24 | 2023-10-27 | 海信集团有限公司 | Refrigerator and recipe recommendation method |
| CN112232916A (en) * | 2020-10-23 | 2021-01-15 | 杭州拼便宜网络科技有限公司 | Commodity recommendation method, device and equipment |
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