CN109902252A - Management method, device, equipment and the storage medium of user's growth system - Google Patents
Management method, device, equipment and the storage medium of user's growth system Download PDFInfo
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Abstract
The invention discloses management method, device, equipment and the storage mediums of a kind of user growth system.This method comprises: receiving the account registration request of the first network application program of user's triggering, the biological information of user is obtained；According to biological information, the historical operation record for the second web application that user uses, the default similarity threshold of the similarity satisfaction of the second web application and first network application program are searched；According to biological information and historical operation record, setting is suitable for user's growth grade upgrading standard of user.Based on big data analysis technology, for the different user's growth grade upgrading standard of different user settings, so that same user grows up, system, which be can be realized, treats the difference of different user.
Description
Technical field
The present invention relates to field of computer technology more particularly to management method, device, the equipment of a kind of user growth system
And storage medium.
Background technique
In internet industry of today, almost all of enterprise have it is a set of oneself user grow up system.So-called use
Family growth system is substantially some attribute based on user, in order to realize a kind of user's operation means of a certain target.Specific
In, user's growth system mainly has both sides to act on: 1, as a kind of recording mode, the active for promoting user is active；
2, enhancing user viscosity, helps enterprise to form barriers to competition.In order to guarantee that user's growth system can be realized above-mentioned two effect,
When designing user grows up system, it is necessary to consider dimension selection, growth quantitative model and reward mechanism.
The system but user at present on the market grows up is usually that a set of user's growth system is solid in terms of dimension set
One or several dimensions are set surely.With dimension be at long value for, since all users unified are tieed up using a set of at long value
Degree is as upgrading standard, and each user obtains and is difficult to accomplish unification at the difficulty of long value.This will result in different user liter
Grade difficulty is different, so that certain user is difficult to upgrade, so that the enthusiasm for the network application released using enterprise is lost, and it is final to lose
Interest is gone, customer churn is caused.
So can adapt to it is urgent to provide a kind of in the management method of user's growth system of various user types.
Above content is only used to facilitate the understanding of the technical scheme, and is not represented and is recognized that above content is existing skill
Art.
Summary of the invention
The main purpose of the present invention is to provide a kind of management method of user growth system, device, equipment and storages to be situated between
Matter, it is intended to the user growth grade upgrading standard different to different user settings is realized based on biological identification technology, so that together
One user growth system, which can be realized, treats the difference of different user.
To achieve the above object, the present invention provides a kind of user grow up system management method, the method includes with
Lower step:
The account registration request for receiving the first network application program of user's triggering obtains the biological characteristic letter of the user
Breath；
According to the biological information, the historical operation note for the second web application that the user uses is searched
The similarity of record, second web application and the first network application program meets default similarity threshold；
According to the biological information and the historical operation record, setting is suitable for user's growth grade of the user
Upgrading standard.
Preferably, the biological information is face characteristic information；
The biological information for obtaining the user, comprising:
According to the account registration request, image capture instruction is generated；
According to described image acquisition instructions, start the image of built-in face of the camera acquisition comprising the user；
Model is extracted based on preset face characteristic, face characteristic extraction is carried out to the face in described image, obtain described
The face characteristic information of user.
Preferably, described that the face progress face characteristic in described image is mentioned based on preset face characteristic extraction model
Before taking, the method also includes:
It constructs the face characteristic and extracts model；
Wherein, the building face characteristic extracts model, comprising:
Training pattern is constructed according to the face characteristic in face sample data；
Convolution kernel in the training pattern having a size of 5 × 5 is split as at least two having a size of 3 × 3 convolution kernel；
Based on convolutional neural networks algorithm, the training pattern is trained, the face characteristic is obtained and extracts model.
Preferably, before the face characteristic according in face sample data constructs training pattern, the method is also wrapped
It includes:
The face sample data is normalized.
Preferably, it is to be achieved at long value to define each user's growth grade need for user's growth grade upgrading standard；
According to the following formula, growing up grade setting for each user need to be to be achieved at long value:
Wherein, LnFor user's growth grade, n is the current rank of user growth grade, and V is according to the biology spy
Reference breath and the preset basis of the historical operation record at long value,To be upgraded to LnUser grow up grade needs reach
At long value.
Preferably, it is described for each user grow up grade setting need it is to be achieved at long value before, the method also includes:
Determine the basis at long value；
Wherein, the determination basis is at long value, comprising:
According to the biological information, gender and the age of the user are determined；
According to the historical operation record, the use habit of the user is determined；
According to the gender, the age and the use habit, determine the basis for being suitable for the user at long value.
Preferably, described according to the biological information and the historical operation record, setting is suitable for the user's
User grows up after grade upgrading standard, the method also includes:
According to the account registration request and the biological information, user identity can be identified for that for user distribution
User account；
Grown up grade upgrading standard and preset memory block drawing template establishment according to the user account, the user,
Creation is for storing the corresponding account information of the user account and user growth grade on user account management block chain
The memory block of upgrading standard, and the corresponding account information of the user account and user growth grade upgrading standard are added
It is added to memory block.
In addition, to achieve the above object, the present invention also proposes a kind of managing device of user's growth system, described device packet
It includes:
Module is obtained, the account registration request of the first network application program for receiving user's triggering obtains the use
The biological information at family；
Searching module, for searching the second web application that the user uses according to the biological information
Historical operation record, the similarity satisfaction of second web application and the first network application program is preset similar
Spend threshold value；
Setup module, for according to the biological information and the historical operation record, setting to be suitable for the user
User grow up grade upgrading standard.
In addition, to achieve the above object, the present invention also proposes a kind of management equipment of user's growth system, the equipment packet
It includes: memory, processor and the pipe for being stored in the user's growth system that can be run on the memory and on the processor
Program is managed, the management program of user's growth system is arranged for carrying out the management method of user's growth system as described above
The step of.
In addition, to achieve the above object, the present invention also proposes a kind of storage medium, user is stored on the storage medium
The management program of the management program of growth system, user's growth system realizes use as described above when being executed by processor
The step of management method of family growth system.
The Managed Solution of user's growth system provided by the invention, passes through the biological information and similarity according to user
The historical operation record for meeting the second web application of default similarity threshold is come for user setting first network application journey
User's growth grade upgrading standard of sequence, so as to which the user's growth grade liter for being only applicable to its own is arranged for different user
Grade standard, so that same user grows up, system can satisfy the demand of different type user, realize to different type user's
Difference is treated.
Detailed description of the invention
Fig. 1 is the structure of the management equipment of the user's growth system for the hardware running environment that the embodiment of the present invention is related to
Schematic diagram；
Fig. 2 is the flow diagram of the management method first embodiment of user of the present invention growth system；
Fig. 3 is the flow diagram of the management method second embodiment of user of the present invention growth system；
Fig. 4 is the structural block diagram of the managing device first embodiment of user of the present invention growth system.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that described herein, specific examples are only used to explain the present invention, is not intended to limit the present invention.
Referring to Fig.1, Fig. 1 is that the management of the user's growth system for the hardware running environment that the embodiment of the present invention is related to is set
Standby structural schematic diagram.
As shown in Figure 1, the user grows up, the management equipment of system may include: processor 1001, such as central processing unit
(Central Processing Unit, CPU), communication bus 1002, user interface 1003, network interface 1004, memory
1005.Wherein, communication bus 1002 is for realizing the connection communication between these components.User interface 1003 may include display
Shield (Display), input unit such as keyboard (Keyboard), optional user interface 1003 can also include that the wired of standard connects
Mouth, wireless interface.Network interface 1004 optionally may include standard wireline interface and wireless interface (such as Wireless Fidelity
(WIreless-FIdelity, WI-FI) interface).Memory 1005 can be the random access memory (Random of high speed
Access Memory, RAM) memory, be also possible to stable nonvolatile memory (Non-Volatile Memory,
), such as magnetic disk storage NVM.Memory 1005 optionally can also be the storage device independently of aforementioned processor 1001.
The management of user's growth system is set it will be understood by those skilled in the art that structure shown in Fig. 1 is not constituted
Standby restriction may include perhaps combining certain components or different component layouts than illustrating more or fewer components.
As shown in Figure 1, as may include operating system, data storage mould in a kind of memory 1005 of storage medium
Block, network communication module, Subscriber Interface Module SIM and user are grown up the management program of system.
In the management equipment of user's growth system shown in Fig. 1, network interface 1004 is mainly used for and network server
Carry out data communication；User interface 1003 is mainly used for carrying out data interaction with user；The management of user's growth system of the present invention
Processor 1001, memory 1005 in equipment can be set in the management equipment that user grows up system, user's growth
The management equipment of system calls the management program of the user stored in memory 1005 growth system by processor 1001, and holds
The management method of row user's growth system provided in an embodiment of the present invention.
The embodiment of the invention provides a kind of management methods of user growth system, are that the present invention is a kind of referring to Fig. 2, Fig. 2
The flow diagram of the management method first embodiment of user's growth system.
In the present embodiment, the user grow up system management method the following steps are included:
Step S10 receives the account registration request of the first network application program of user's triggering, obtains the life of the user
Object characteristic information.
Specifically, first network application program described in the present embodiment is to be mounted on the terminal device that user uses
On, for user's operation, the application program (Application, App) for facilitating user and businessman to interact, such as various study
App, shopping App, game App, chat App etc., will not enumerate, also with no restrictions to this herein.
In addition, biological information described in the present embodiment, can be face characteristic information, the vocal print feature letter of user
Breath, iris feature information, fingerprint feature information etc. can be identified for that the biological information of user identity.
In order to make it easy to understand, the present embodiment by biological information be face characteristic information for, to obtain face characteristic
The operation of information is illustrated, and specific implementation is as follows:
(1) according to the account registration request, image capture instruction is generated.
It should be understood that since need to obtain herein is face characteristic information, thus need to be infused according to the account
Volume request, generates image capture instruction, so that the controller inside terminal device can be controlled according to described image acquisition instructions
Built-in camera is opened, the image of face of the acquisition comprising the user.
Correspondingly, it if in practical applications, biological information is vocal print feature information, is then registered according to the account
Request, the control instruction of generation is vocal print acquisition instructions.
Correspondingly, controller is according to biological acquisition instructions, and unlatching is vocal print acquisition unit inside terminal device.
(2) according to described image acquisition instructions, start the image of built-in face of the camera acquisition comprising the user.
Specifically, the image of the face comprising the user of acquisition can be the figure directly shot by camera
Piece extracts in the video flowing that can also be recorded by camera.
(3) model is extracted based on preset face characteristic and face characteristic extraction is carried out to the face in described image, obtained
The face characteristic information of the user.
It should be noted that it is specifically to be based on convolutional neural networks algorithm that face characteristic described in this implementation, which extracts model,
What convolutional neural networks training obtained is carried out to face sample data.
In addition, in practical applications, in the case where not increasing trained difficulty, in order to increase training pattern as far as possible
Network depth, so that the face characteristic that training for promotion goes out extracts the extraction accuracy of model, so that the face characteristic information extracted
It is more accurate.
This example give it is a kind of building face characteristic extract model concrete scheme, implementation approximately as:
Firstly, constructing training pattern according to the face characteristic in face sample data.
It should be understood that the face sample data of building training pattern can specifically obtain in advance from each big data platform
It takes.
Then, the convolution kernel in the training pattern having a size of 5 × 5 is split as at least two having a size of 3 × 3 convolution
Core.
It should be understood that in the training process, if the convolution kernel number split is more, the network depth of training pattern
Will be deeper, the extraction accuracy that final training obtains face characteristic extraction model also can be higher, but not increase trained difficulty,
It is preferred that the convolution kernel in the training pattern having a size of 5 × 5 is split as two having a size of 3 × 3 convolution kernel.
Finally, being based on convolutional neural networks algorithm, the training pattern is trained, the face characteristic is obtained and extracts
Model.
About convolutional neural networks algorithm is used, the training pattern is trained, the face characteristic is obtained and extracts
The specific implementation of model, those skilled in the art can be real with reference to the existing document about convolutional neural networks algorithm
Existing, details are not described herein again.
In addition, it is noted that face characteristic described in present embodiment extracts model mainly by convolutional layer, Chi Hua
Layer and full articulamentum are constituted, and wherein the combination of convolutional layer and pond layer can occur repeatedly, after full articulamentum is located at pond layer, are made
For the output layer of entire model.
It should be understood that face characteristic described in present embodiment, specifically can be each characteristic point by face
It constitutes, such as the profile point of eyes, nose, corners of the mouth point, eyebrow and face's other component.
In addition, in practical applications, full articulamentum can there are two, if full articulamentum is two, output layer the
Two full articulamentums, specific those skilled in the art can according to need setting, herein with no restrictions.
In addition, face characteristic extracts the convergence rate of model, and to a certain degree in order to accelerate in subsequent training process
The upper generalization ability (adaptability of the machine learning algorithm to fresh sample) for promoting face characteristic and extracting model, according to face
Before face characteristic building training pattern in sample data, place first can also be normalized to the face sample data
Reason, to greatly reduce in training process in every layer of convolutional layer convolution kernel and as the node in the full articulamentum of output layer
Number, simplifies the various calculating in training process.
In addition, in practical applications, in order to guarantee the image from the collected face comprising the user as far as possible
In extract the face characteristic information of the user.Before executing above-mentioned steps (3), it is also based on preset Face datection
Model detects each frame of described image, extracts the facial image of the user.
It should be understood that above-mentioned described Face datection model, equally can be based on convolutional neural networks algorithm pair
Face sample data carries out what convolutional neural networks training obtained, and specific item mode, details are not described herein again.
In addition, being given above only a kind of concrete implementation mode, technical solution of the present invention is not constituted any
It limits, in the concrete realization, those skilled in the art, which can according to need, to be configured, herein with no restrictions.
Step S20 searches the history for the second web application that the user uses according to the biological information
Operation note.
Specifically, due to that when registering various web applications, usually all user can be allowed to fill in mark at present
The relevant information of identity, thus the present embodiment is according to the biological information that can be identified for that user identity got, it can be fast
Speed determines user identity, and then determines which web application the user has registered, and has registered from the user
The second network for meeting default similarity threshold with the similarity of first network program is filtered out in the web application used
Application program.
In order to better understand above scheme, it is illustrated below:
It is assumed that preset phase knowledge and magnanimity threshold value is 80%, the first network application program that user is registered is a shopping
App (for ease of description, hereinafter referred to as do shopping App1), then the second web application that should be searched needs to be all shopping class
Shopping App, if having been registered with shopping App2, shopping App3, shopping this three sections of App4 shopping by searching for discovery user
The App of class then can carry out analysis matching by the business demand etc. for including to every a shopping App, if passing through matching discovery
Shopping App2 is 50% to shopping the similar of App1, and shopping App3 is 70% to shopping the similar of App1, shopping App4 and shopping
The similar of App1 is 80%, then the App4 that does shopping is the second web application required to look up, the historical operation record of acquisition
The relevant information that as shopping App4 is generated in use.
It is answered however, it should be understood that the historical operation record got can specifically include user using the second network
With the duration of program, access times, frequency of use, consumer record, commodity of concern etc., will not enumerate herein, to this
With no restrictions.
Step S30, according to the biological information and the historical operation record, setting is suitable for the user of the user
Growth grade upgrading standard.
Specifically, about above-mentioned user's growth grade upgrading standard for user setting, in practical applications, Ke Yigen
Grow up the actual parameter index that is related to of system and business demand according to user to be arranged.
In order to make it easy to understand, providing a kind of specific user's growth grade upgrading standard in the present embodiment.
Specifically, user described in the present embodiment grows up in grade upgrading standard, mainly define each user at
Long grade needs to be achieved at long value.
Further, in order to make it easy to understand, the present embodiment provide a kind of each user of setting grow up grade need it is to be achieved at
The formula of long value, specific as follows:
Wherein, LnFor user's growth grade, n is the current rank of user growth grade, and V is according to the biology spy
Reference breath and the preset basis of the historical operation record at long value,To be upgraded to LnUser grow up grade needs reach
At long value.
In addition, it is noted that being grasped about described in step S30 according to the biological information and the history
Note down, the user that setting is suitable for the user grow up grade upgrading standard, in particular to according to the biological information and
The basis used in above-mentioned formula is arranged into long value in the historical operation record.
In addition, in order to enable the user of setting grows up, grade upgrading standard can preferably be adapted to each user, in root
It, specifically can be real in the following way when setting basis is at long value according to the biological information and the historical operation record
It is existing:
Firstly, determining gender and the age of the user according to the biological information.
It should be understood that since the biological information of each user has uniqueness, thus by acquisition
The analysis of the biological information arrived is handled, and can substantially determine the information such as gender, the age of the user.
Then, according to the historical operation record, the use habit of the user is determined.
Similarly, due to the historical operation record got mainly include user using the second web application when
Length, access times, frequency of use, consumer record, the information such as commodity of concern, and due to providing the historical operation record
Second web application is, and more similar application program identical as first network Application Type.Thus by dividing
The historical operation record for analysing the offer of the second web application, can substantially determine the user to same type web application
The information such as use habit, hobby.
Finally, determining the basis growth for being suitable for the user according to the gender, the age and the use habit
Value.
It should be understood that due to different sexes, different age group user to the use demand of web application not
Together, and everyone use habit is also different, thus the present embodiment by according to gender, age, use habit come
Only it is suitable for the basic at long value of the user for each user setting, so as to meet the use need of different type user
It asks, realizes and the difference of different type user is treated.
Such as analysis obtains through the above steps, the user is female user of the age between 25 years old to 30 years old,
And by the analysis to historical operation record, it is found that 8 points to 9 points of user's every morning can all log in the second network application
Program is browsed.
That is, the activity of the user is higher, thus can be relatively high at long value for the basis of its setting, than
Such as 1000.
Correspondingly, the value of V be 1000 when, according to above-mentioned formula calculate it is found that the customer upgrade to second user at
What long grade needed is 3010 at long value, and be upgraded to third user growth grade needs is 4100 at long value.
Also such as, analysis obtains through the above steps, and the user is that the age is for men between 30 years old to 40 years old
Family, and by the analysis to historical operation record, it is found that Wu can log in the second net at 8 points to 9 points at night to the user weekly
Network application program is browsed.
That is, the activity of the user is relatively low, in order to make its user grow up grade as far as possible
It promotes, can be relatively lower at long value for the basis of its setting, such as 500.
Correspondingly, it when the value of V is 500, is calculated according to above-mentioned formula it is found that the customer upgrade is grown up to second user
What grade needed is 1510 at long value, and be upgraded to third user growth grade needs is 2100 at long value.
It should be noted that being given above only a kind of specific calculating at long value being arranged needed for each grade upgrades
Formula does not constitute any restriction to technical solution of the present invention, and in practical applications, those skilled in the art can basis
It needs to be configured, herein with no restrictions.
However, it should be understood that about basis at the setting of long value, it in practical applications, can be using big data point
Analysis technology analyzes various data existing in each big data platform, and the user's growth system for combining each enterprise to release
Business demand be rationally arranged, herein with no restrictions.
By foregoing description it is not difficult to find that the management method of the user's growth system provided in the present embodiment, passes through basis
The biological information and similarity of user meets the historical operation record of the second web application of default similarity threshold
Carry out grade upgrading standard of growing up for the user of user setting first network application program, so as to only fit for different user setting
For the user's growth grade upgrading standard of its own, so that same user grows up, system can satisfy the need of different type user
It asks, realizes and the difference of different type user is treated.
With reference to Fig. 3, Fig. 3 is a kind of flow diagram of the management method second embodiment of user's growth system of the present invention.
Based on above-mentioned first embodiment, the management method of the present embodiment user growth system is after the step S30, also
Include:
Step S40 can be identified for that according to the account registration request and the biological information for user distribution
The user account of user identity.
Specifically, it since the biological information of each user has uniqueness, thus is used being distributed for user
When the account of family, by can be identified for that user's body according to the account registration request and the biological information for user's distribution
The user account of part avoids the occurrence of different user and holds asking for same subscriber account to ensure that the uniqueness of user account
Topic.
Step S50 is created according to the user account, user growth grade upgrading standard and preset memory block
Template, user account management block chain on creation for store the corresponding account information of the user account and the user at
The memory block of long grade upgrading standard, and the corresponding account information of the user account and user growth grade are upgraded
Standard is added to memory block.
Specifically, in the present embodiment, the memory block drawing template establishment prestored can be according to prespecified grammer
Standardize the script file write, syntax format approximately as:
In practical applications, the concrete meaning of the expression formula are as follows: creation one is named as the memory block of " user account ", it
Contain the region " filed " of storage " user's growth grade upgrading standard ".
It should be noted that directlying adopt the user account conduct for user's distribution in the creation of above-mentioned memory block
The block name of memory block is for the ease of subsequent lookup and to manage, and be arranged in the memory block of creation for storing
The region filed of user's growth grade upgrading standard of the user, then be in order in the subsequent user to the user account
During the adjustment for grade of growing up, grade upgrading standard can be grown up according to the corresponding user of the user account to adjust
It is whole, so that adjustment is suitble to the user account.
However, it should be understood that it is above for example, do not constitute any restriction to technical solution of the present invention,
It is configured in the specific implementation, those skilled in the art can according to need, herein with no restrictions.
By foregoing description it is not difficult to find that the management method of the user's growth system provided in the present embodiment, passes through basis
The account registration request and the biological information are user's distributing user account, to ensure that user account
Uniqueness.
In addition, after distributing user account for user, by according to the user account, user growth grade
Upgrading standard and preset memory block drawing template establishment, creation is for storing user's account on user account management block chain
Number corresponding account information and the user grow up the memory block of grade upgrading standard, and by the corresponding account of the user account
Number information and the user grade upgrading standard of growing up are added to memory block, are guaranteeing the same of user account information safety
When, the independent management of each user account is realized, so that interference will not be generated between the user account of each user, so as to
So that user's growth system preferably services and user.
In addition, the embodiment of the present invention also proposes a kind of storage medium, user's growth system is stored on the storage medium
Management program, the user, which grows up, realizes that user as described above grows up body when the management program of system is executed by processor
The step of management method of system.
Referring to the structural block diagram for the managing device first embodiment that Fig. 4, Fig. 4 are user of the present invention growth system.
As shown in figure 4, the embodiment of the present invention propose user grow up system managing device include: obtain module 4001,
Searching module 4002 and setup module 4003.
Wherein, the acquisition module 4001 is asked for receiving the account registration of first network application program of user's triggering
It asks, obtains the biological information of the user；The searching module 4002, for searching according to the biological information
The historical operation record for the second web application that the user uses；
The setup module 4003, for according to the biological information and the historical operation record, setting to be suitable for
User's growth grade upgrading standard of the user.
It should be noted that above-mentioned the second described web application is specially and the first network application program
Similarity meets default similarity threshold, that is, belongs to same type of web application, is such as all shopping class network application journey
Sequence, or study class web application.
However, it should be understood that biological information described in the present embodiment can be and can be identified for that user is unique
Face characteristic information, iris feature information, vocal print feature information, the fingerprint feature information etc. of property, will not enumerate herein, right
This is also with no restrictions.
The operation of the biological nature information of the user is obtained in order to facilitate understanding, and the present embodiment is believed with the biological characteristic
Breath is for face characteristic information.
Correspondingly, the acquisition module 4001 is specifically real according to following process when obtaining the biological information
Existing:
Firstly, generating image capture instruction according to the account registration request.
Then, according to described image acquisition instructions, start the figure of built-in face of the camera acquisition comprising the user
Picture.
Finally, extracting model based on preset face characteristic carries out face characteristic extraction to the face in described image, obtain
To the face characteristic information of the user.
In addition, in practical applications, in order to guarantee that the acquisition module 4001 can accurately extract the user's
Face characteristic information, the grow up managing device of system of the user provided in the present embodiment can also include: building module.
Specifically, the building module extracts mould for being based on preset face characteristic in the acquisition module 4001
Before type carries out face characteristic extraction to the face in described image, constructs the face characteristic and extract model.
In order to facilitate understanding to the building of the face characteristic extraction module, this implementation provides a kind of concrete implementation side
Formula, approximately as:
Firstly, constructing training pattern according to the face characteristic in face sample data.
It should be noted that above-mentioned described face sample data, specifically can be and obtains in advance from each big data platform
's.
Then, the convolution kernel in the training pattern having a size of 5 × 5 is split as at least two having a size of 3 × 3 convolution
Core.
Finally, being based on convolutional neural networks algorithm, the training pattern is trained, the face characteristic is obtained and extracts
Model.
By above-mentioned training method, the network depth of training pattern is considerably increased, is trained to greatly improve
Face characteristic extracts the extraction accuracy of model, so that the face characteristic information extracted is more accurate.
Further, in order to accelerate in training process, the convergence rate of model is extracted from training pattern to face characteristic, with
And promoting the generalization ability that face characteristic extracts model, the user provided in the present embodiment grows up the managing device of system can be with
It include: processing module.
Specifically, the processing module, for the face sample data to be normalized.
In addition, it is noted that about above-mentioned user's growth grade upgrading standard for user setting, in practical application
In, it can be arranged according to the actual parameter index and business demand that user's growth system is related to.
In order to make it easy to understand, providing a kind of specific user's growth grade upgrading standard in the present embodiment.
Specifically, user described in the present embodiment grows up in grade upgrading standard, mainly define each user at
Long grade needs to be achieved at long value.
Further, in order to make it easy to understand, the present embodiment provide a kind of each user of setting grow up grade need it is to be achieved at
The formula of long value, specific as follows:
Wherein, LnFor user's growth grade, n is the current rank of user growth grade, and V is according to the biology spy
Reference breath and the preset basis of the historical operation record at long value,To be upgraded to LnUser grow up grade need it is to be achieved
At long value.
It should be noted that the setup module 4003 is according to the biological information and the historical operation record,
The operation of user's growth grade upgrading standard suitable for the user is set, in particular to according to the biological information and institute
Historical operation record is stated, the basis used in above-mentioned formula is set into long value.
In addition, in order to enable the user of setting grows up, grade upgrading standard can preferably be adapted to each user, in root
It, specifically can be real in the following way when setting basis is at long value according to the biological information and the historical operation record
It is existing:
Firstly, determining gender and the age of the user according to the biological information.
Then, according to the historical operation record, the use habit of the user is determined.
Finally, determining the basis growth for being suitable for the user according to the gender, the age and the use habit
Value.
It should be understood that due to different sexes, different age group user to the use demand of web application not
Together, and everyone use habit is also different, thus the present embodiment by according to gender, age, use habit come
Only it is suitable for the basic at long value of the user for each user setting, so as to meet the use need of different type user
It asks, realizes and the difference of different type user is treated.
Such as analysis obtains through the above steps, the user is female user of the age between 25 years old to 30 years old,
And by the analysis to historical operation record, it is found that 8 points to 9 points of user's every morning can all log in the second network application
Program is browsed.
That is, the activity of the user is higher, thus can be relatively high at long value for the basis of its setting, than
Such as 1000.
Correspondingly, the value of V be 1000 when, according to above-mentioned formula calculate it is found that the customer upgrade to second user at
What long grade needed is 3010 at long value, and be upgraded to third user growth grade needs is 4100 at long value.
Also such as, analysis obtains through the above steps, and the user is that the age is for men between 30 years old to 40 years old
Family, and by the analysis to historical operation record, it is found that Wu can log in the second net at 8 points to 9 points at night to the user weekly
Network application program is browsed.
That is, the activity of the user is relatively low, in order to make its user grow up grade as far as possible
It promotes, can be relatively lower at long value for the basis of its setting, such as 500.
Correspondingly, it when the value of V is 500, is calculated according to above-mentioned formula it is found that the customer upgrade is grown up to second user
What grade needed is 1510 at long value, and be upgraded to third user growth grade needs is 2100 at long value.
It should be noted that being given above only a kind of specific calculating at long value being arranged needed for each grade upgrades
Formula does not constitute any restriction to technical solution of the present invention, and in practical applications, those skilled in the art can basis
It needs to be configured, herein with no restrictions.
However, it should be understood that about basis at the setting of long value, it in practical applications, can be using big data point
Analysis technology analyzes various data existing in each big data platform, and the user's growth system for combining each enterprise to release
Business demand be rationally arranged, herein with no restrictions.
By foregoing description it is not difficult to find that the managing device of the user's growth system provided in the present embodiment, passes through basis
The biological information and similarity of user meets the historical operation record of the second web application of default similarity threshold
Carry out grade upgrading standard of growing up for the user of user setting first network application program, so as to only fit for different user setting
For the user's growth grade upgrading standard of its own, so that same user grows up, system can satisfy the need of different type user
It asks, realizes and the difference of different type user is treated.
It should be noted that workflow described above is only schematical, not to protection model of the invention
Enclose composition limit, in practical applications, those skilled in the art can select according to the actual needs part therein or
It all achieves the purpose of the solution of this embodiment, herein with no restrictions.
In addition, the not technical detail of detailed description in the present embodiment, reference can be made to provided by any embodiment of the invention
The management method of user's growth system, details are not described herein again.
The first embodiment of managing device based on above-mentioned user growth system proposes the pipe of user's growth system of the present invention
Manage device second embodiment.
In the present embodiment, the managing device of user's growth system further include: user account distribution module and storage
Block creation module.
Wherein, the user account distribution module is used for according to the account registration request and the biological information,
It can be identified for that the user account of user identity for user distribution.
The memory block creation module, for according to the user account, the user grow up grade upgrading standard and
Preset memory block drawing template establishment, creation is for storing the corresponding account of the user account on user account management block chain
Number information and the user grow up the memory block of grade upgrading standard, and by the corresponding account information of the user account and institute
It states user's growth grade upgrading standard and is added to memory block.
It should be understood that having the above is only for example, not constituting any restriction to technical solution of the present invention
In body application, those skilled in the art, which can according to need, to be configured, and the present invention is without limitation.
By foregoing description it is not difficult to find that the managing device of the user's growth system provided in the present embodiment, passes through basis
The account registration request and the biological information are user's distributing user account, to ensure that user account
Uniqueness.
In addition, after distributing user account for user, by according to the user account, user growth grade
Upgrading standard and preset memory block drawing template establishment, creation is for storing user's account on user account management block chain
Number corresponding account information and the user grow up the memory block of grade upgrading standard, and by the corresponding account of the user account
Number information and the user grade upgrading standard of growing up are added to memory block, are guaranteeing the same of user account information safety
When, the independent management of each user account is realized, so that interference will not be generated between the user account of each user, so as to
So that user's growth system preferably services and user.
It should be noted that workflow described above is only schematical, not to protection model of the invention
Enclose composition limit, in practical applications, those skilled in the art can select according to the actual needs part therein or
It all achieves the purpose of the solution of this embodiment, herein with no restrictions.
In addition, the not technical detail of detailed description in the present embodiment, reference can be made to provided by any embodiment of the invention
The management method of user's growth system, details are not described herein again.
In addition, it should be noted that, herein, the terms "include", "comprise" or its any other variant are intended to contain
Lid non-exclusive inclusion, so that process, method, article or system including a series of elements are not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or system
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or system including the element.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as read-only memory (Read Only Memory, ROM)/RAM, magnetic disk, CD), including some instructions are used so that one
Terminal device (can be mobile phone, computer, server or the network equipment etc.) executes side described in each embodiment of the present invention
Method.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
- The management method of system 1. a kind of user grows up, which is characterized in that the described method comprises the following steps:The account registration request for receiving the first network application program of user's triggering, obtains the biological information of the user；According to the biological information, the historical operation record for the second web application that the user uses, institute are searched The similarity for stating the second web application and the first network application program meets default similarity threshold；According to the biological information and the historical operation record, setting is suitable for user's growth grade upgrading of the user Standard.
- 2. the method as described in claim 1, which is characterized in that the biological information is face characteristic information；The biological information for obtaining the user, comprising:According to the account registration request, image capture instruction is generated；According to described image acquisition instructions, start the image of built-in face of the camera acquisition comprising the user；Model is extracted based on preset face characteristic, face characteristic extraction is carried out to the face in described image, obtain the user Face characteristic information.
- 3. method according to claim 2, which is characterized in that described to extract model to the figure based on preset face characteristic Before face as in carries out face characteristic extraction, the method also includes:It constructs the face characteristic and extracts model；Wherein, the building face characteristic extracts model, comprising:Training pattern is constructed according to the face characteristic in face sample data；Convolution kernel in the training pattern having a size of 5 × 5 is split as at least two having a size of 3 × 3 convolution kernel；Based on convolutional neural networks algorithm, the training pattern is trained, the face characteristic is obtained and extracts model.
- 4. method as claimed in claim 3, which is characterized in that the face characteristic according in face sample data constructs instruction Before practicing model, the method also includes:The face sample data is normalized.
- 5. such as the described in any item methods of Claims 1-4, which is characterized in that user's growth grade upgrading standard regulation Each user grow up grade need it is to be achieved at long value；According to the following formula, growing up grade setting for each user need to be to be achieved at long value:Wherein, LnFor user's growth grade, n is the current rank of user growth grade, and V is to be believed according to the biological characteristic Breath and the preset basis of the historical operation record at long value,To be upgraded to LnUser grow up grade need it is to be achieved at Long value.
- 6. method as claimed in claim 5, which is characterized in that described to need growth to be achieved for each user growth grade setting Before value, the method also includes:Determine the basis at long value；Wherein, the determination basis is at long value, comprising:According to the biological information, gender and the age of the user are determined；According to the historical operation record, the use habit of the user is determined；According to the gender, the age and the use habit, determine the basis for being suitable for the user at long value.
- 7. method as claimed in claim 5, which is characterized in that described according to the biological information and the historical operation Record, the user that setting is suitable for the user grow up after grade upgrading standard, the method also includes:According to the account registration request and the biological information, the use of user identity can be identified for that for user distribution Family account；According to the user account, user growth grade upgrading standard and preset memory block drawing template establishment, in user Creation is for storing the corresponding account information of the user account and user growth grade upgrading on account management block chain The memory block of standard, and the corresponding account information of the user account and user growth grade upgrading standard are added to Memory block.
- The managing device of system 8. a kind of user grows up, which is characterized in that described device includes:Module is obtained, the account registration request of the first network application program for receiving user's triggering obtains the user's Biological information；Searching module, for searching going through for the second web application that the user uses according to the biological information The similarity of history operation note, second web application and the first network application program meets default similarity threshold Value；Setup module, for according to the biological information and the historical operation record, setting to be suitable for the use of the user Family growth grade upgrading standard.
- The management equipment of system 9. a kind of user grows up, which is characterized in that the equipment includes: memory, processor and storage On the memory and the user that can run on the processor grows up the management program of system, and the user grows up system Management program be arranged for carrying out the user as described in any one of claims 1 to 7 grow up system management method the step of.
- 10. a kind of storage medium, which is characterized in that be stored with the management program of user's growth system, institute on the storage medium It states the grow up management program of system of user and realizes user's growth as described in any one of claim 1 to 7 when being executed by processor The step of management method of system.
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Application publication date: 20190618 |