CN110069702A - User behavior data analysis method, device, computer equipment and storage medium - Google Patents
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Abstract
The invention discloses user behavior data analysis method, device, computer equipment and storage mediums.This method comprises: obtaining user information corresponding with APP application program every in APP pool of applications；Strong correlation data corresponding with target scene in user information corresponding with every APP application program in acquisition APP pool of applications, to obtain the corresponding strong correlation data acquisition system of every APP application program；Label is converted according to the tag library correspondence constructed in advance by the strong correlation data acquisition system of each APP application program, to form user's portrait corresponding with user each in each APP application program；And if there are identical cell-phone number and device number in the corresponding user information of each user portrait, identical cell-phone number will be present and the corresponding user's portrait of device number is combined, to obtain user's portrait set corresponding with each user.This method draws user's portrait by more various dimensions, realizes deeper time analysis user behavior data.
Description
Technical field
The present invention relates to user's Portrait brand technology field more particularly to a kind of user behavior data analysis methods, device, calculating
Machine equipment and storage medium.
Background technique
Currently, being generally based on the APP application program when user for a certain APP application program carries out behavioural analysis
Collected user data and behavioral data, to draw user's portrait.
User's portrait, also known as user role delineate having for target user, connection user's demand and design direction as a kind of
Effect tool, user's portrait are widely used in each field.During practical operation often with it is the most plain and
The attribute of user, behavior and expectation are tied by the language of closeness to life.As the virtual representations of actual user, user's portrait
Be formed by user role be not be detached from it is constructed except product and market come out, the user role of formation needs representative
The main audient of performance representative products and target group.
If but carrying out behavioural analysis based on the user of single APP application program to draw user's portrait, the dimension of label
It spends less, is not carried out the depth analysis to user behavior.
Summary of the invention
The embodiment of the invention provides a kind of user behavior data analysis method, device, computer equipment and storage medium,
It aims to solve the problem that and behavioural analysis is carried out based on the user of single APP application program in the prior art to draw user's portrait, label
Dimension it is less, the problem of being not carried out the depth analysis to user behavior.
In a first aspect, the embodiment of the invention provides a kind of user behavior data analysis methods comprising:
Receive user information corresponding with APP application program every in preset APP pool of applications；Wherein, described
User information includes at least the ascribed characteristics of population, credit information, behavioural characteristic；
Obtain in the APP pool of applications in user information corresponding with every APP application program with it is set
The corresponding strong correlation data of target scene, to obtain the corresponding strong correlation data acquisition system of every APP application program；
By the strong correlation data acquisition system of APP application program each in the APP pool of applications according to the mark constructed in advance
Label library correspondence is converted into label, to form user's portrait corresponding with user each in each APP application program；And
If each user draws a portrait, there are identical cell-phone number and device numbers in corresponding user information, and identical mobile phone will be present
Number and device number corresponding user portrait be combined, drawn a portrait set with obtaining user corresponding with each user.
Second aspect, the embodiment of the invention provides a kind of user behavior data analytical equipments comprising:
User information acquiring unit, it is corresponding with every APP application program in preset APP pool of applications for receiving
User information；Wherein, the user information includes at least the ascribed characteristics of population, credit information, behavioural characteristic；
Data acquisition system acquiring unit, it is corresponding with every APP application program in the APP pool of applications for obtaining
Strong correlation data corresponding with set target scene in user information are corresponding strong to obtain every APP application program
Related data set；
User draws a portrait acquiring unit, for by the strong correlation data of APP application program each in the APP pool of applications
Set is converted into label according to the tag library correspondence constructed in advance, to form use corresponding with user each in each APP application program
Family portrait；And
User draws a portrait integrated unit, if drawing a portrait in corresponding user information there are identical cell-phone number and setting for each user
Standby number, identical cell-phone number will be present and the corresponding user's portrait of device number is combined, it is corresponding with each user to obtain
User, which draws a portrait, to be gathered.
The third aspect, the embodiment of the present invention provide a kind of computer equipment again comprising memory, processor and storage
On the memory and the computer program that can run on the processor, the processor execute the computer program
User behavior data analysis method described in the above-mentioned first aspect of Shi Shixian.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, wherein the computer can
It reads storage medium and is stored with computer program, it is above-mentioned that the computer program when being executed by a processor executes the processor
User behavior data analysis method described in first aspect.
The embodiment of the invention provides a kind of user behavior data analysis method, device, computer equipment and storage mediums.
This method includes receiving user information corresponding with APP application program every in preset APP pool of applications；Wherein, institute
User information is stated including at least the ascribed characteristics of population, credit information, behavioural characteristic；Obtain in the APP pool of applications with it is each
Strong correlation data corresponding with set target scene in the corresponding user information of APP application program, to obtain every APP
The corresponding strong correlation data acquisition system of application program；By the strong correlation data of APP application program each in the APP pool of applications
Set is converted into label according to the tag library correspondence constructed in advance, to form use corresponding with user each in each APP application program
Family portrait；And if there are identical cell-phone number and device numbers in the corresponding user information of each user portrait, will be present identical
Cell-phone number and the corresponding user's portrait of device number are combined, to obtain user's portrait set corresponding with each user.The party
Method draws user's portrait by more various dimensions, realizes deeper time analysis user behavior data.
Detailed description of the invention
Technical solution in order to illustrate the embodiments of the present invention more clearly, below will be to needed in embodiment description
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the application scenarios schematic diagram of user behavior data analysis method provided in an embodiment of the present invention；
Fig. 2 is the flow diagram of user behavior data analysis method provided in an embodiment of the present invention；
Fig. 3 is another flow diagram of user behavior data analysis method provided in an embodiment of the present invention；
Fig. 4 is the sub-process schematic diagram of user behavior data analysis method provided in an embodiment of the present invention；
Fig. 5 is another sub-process schematic diagram of user behavior data analysis method provided in an embodiment of the present invention；
Fig. 6 is the schematic block diagram of user behavior data analytical equipment provided in an embodiment of the present invention；
Fig. 7 is another schematic block diagram of user behavior data analytical equipment provided in an embodiment of the present invention；
Fig. 8 is the subelement schematic block diagram of user behavior data analytical equipment provided in an embodiment of the present invention；
Fig. 9 is another subelement schematic block diagram of user behavior data analytical equipment provided in an embodiment of the present invention；
Figure 10 is the schematic block diagram of computer equipment provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " and "comprising" instruction
Described feature, entirety, step, operation, the presence of element and/or component, but one or more of the other feature, whole is not precluded
Body, step, operation, the presence or addition of element, component and/or its set.
It is also understood that mesh of the term used in this description of the invention merely for the sake of description specific embodiment
And be not intended to limit the present invention.As description of the invention and it is used in the attached claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in description of the invention and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
Fig. 1 and Fig. 2 are please referred to, Fig. 1 is the application scenarios of user behavior data analysis method provided in an embodiment of the present invention
Schematic diagram, Fig. 2 are the flow diagram of user behavior data analysis method provided in an embodiment of the present invention, the user behavior data
Analysis method is applied in server, and this method is executed by the application software being installed in server.
As shown in Fig. 2, the method comprising the steps of S110~S160.
S110, user information corresponding with APP application program every in preset APP pool of applications is received；Wherein,
The user information includes at least the ascribed characteristics of population, credit information, behavioural characteristic.
In the present embodiment, user is believed in a certain APP application program of registration and during specifically used by registration
The data generated in breath, use process can produce largely user information related with the user, i.e. user terminal and be answered using APP
Server can be uploaded to the mass data of program.User information is at least divided into three classes, and the ascribed characteristics of population, credit information, behavior are special
Sign.
Wherein, the ascribed characteristics of population is used to describe the information of people's essential characteristic, and main function is to aid in the operation enterprise of APP
Know that whom client is, how to touch up to user.Specifically, address name, gender, at the age, telephone number, mailbox, home address is all
Belong to the ascribed characteristics of population.
Credit information is for describing user's revenue potential and income situation, ability to pay.The operation enterprise of APP is helped to understand
Customer capital situation and credit situation are conducive to position target customer.Specifically, client occupation, income, assets, debt,
It goes through, credit scoring etc. belongs to credit information.
Behavioural characteristic is for describing the main use habit of user and using preference, for finding high frequency and high value customer.
For the ease of screen client, can with reference to client business handling record by client directly it is qualitative be certain behavioural characteristic crowds,
Such as stock invester, fund financing crowd etc..
After obtaining user information corresponding with APP application program every in preset APP pool of applications, own
The relevant strong correlation information of user's portrait can be arranged and be concentrated from above-mentioned user information, and according to portrait demand, benefit
With the initial data for running batch job, process data, generation user's portrait.
S120, obtain in the APP pool of applications in user information corresponding with every APP application program with it is set
The corresponding strong correlation data of the target scene set, to obtain the corresponding strong correlation data acquisition system of every APP application program.
In one embodiment, as shown in figure 4, step S120 includes:
If S121, detecting and selecting one of APP application program in the APP pool of applications, acquisition is selected
APP application program each user information；
If S122, detecting and selecting one of user information in each user information of selected APP application program,
According to set target scene, obtain address name, cell-phone number that the ascribed characteristics of population described in selected user information includes,
Home address, using as the first strong correlation data corresponding with the ascribed characteristics of population；
S123, according to set target scene, obtain credit information described in selected user information includes
Information, occupational information, assets information are gone through, using as the second strong correlation data corresponding with credit information；
S124, according to set target scene, it includes multiple for obtaining behavioural characteristic described in selected user information
Product purchase information, using as third strong correlation data corresponding with behavioural characteristic；
S125, the first strong correlation data, the second strong correlation data and the third strong correlation data are formed
Strong correlation data corresponding with selected user information.
In the present embodiment, the strong correlation data corresponding with set target scene in obtaining the user information
When, target scene as the set is to find financing user, and process is as follows:
According to the principle of user's portrait, all portrait information should be above-mentioned 3 macrotaxonomy (ascribed characteristics of population, credit information, row
Be characterized) strong correlation data.Strong correlation data refer to the information of same business scenario strong correlation, can help the operator of APP
Target customer is positioned, client's potential demand is understood, develops requirement product.Such as address name, cell-phone number, home address be exactly can
The strong correlation data of the ascribed characteristics of population of enough touchings up to client；Taking in information, academic information, occupational information, assets information is exactly client
Credit information strong correlation data；Fund is bought, stock is bought, purchase finance product is exactly the strong correlation number of behavioural characteristic
According to.
When obtaining the corresponding strong correlation data acquisition system of every APP application program, can be drawn according to strong correlation data acquisition system
Make user's portrait of each user.
S130, the strong correlation data acquisition system of APP application program each in the APP pool of applications is constructed according to preparatory
Tag library correspondence be converted into label, drawn a portrait with form corresponding with user each in each APP application program user.
In one embodiment, as shown in figure 5, step S130 includes:
S131, label converting plan corresponding with strong correlation data each in strong correlation data acquisition system is obtained in the tag library
Slightly；
S132, basis label converting strategy corresponding with strong correlation data each in strong correlation data acquisition system, by strong correlation number
Label is converted into according to strong correlation data each in set correspondence；
S133, by the corresponding label of strong correlation data each in strong correlation data acquisition system, composition with it is each in each APP application program
The corresponding user's portrait of user.
In the present embodiment, the important process link that quantitative classification is user's portrait, tool are converted by qualitative information
There is higher business scenario requirement.Main purpose is to aid in enterprise and simplifies complex data, by the qualitative progress of transaction data
Sort out, and incorporate the requirement of business analysis, commercial processing is carried out to data.
Such as when label converting strategy is arranged, client can be divided into student according to age range, and it is young, it is young and middle-aged,
Middle age, person in middle and old age, the division of life span such as old age.Financial service demand derived from each division of life span is different, when finding target customer,
Aim client orientation can be carried out by division of life span.Enterprise can use situations such as income, educational background, assets of client for client
It is divided into basic, normal, high end client, and according to its financial service demand, provides different financial services.Its financial consumption can be referred to
Customer action feature is carried out qualitative description, distinguishes electric business by record and assets information and products transactions, the product of purchase
Client, manage money matters client, policy holder, blue chip investment client, radical investment client etc..
After depicting user's portrait respectively according to the user information of each user for every APP application program, it can obtain
It draws a portrait to user corresponding with user each in every APP application program.
If S140, each user draw a portrait, there are identical cell-phone number and device numbers in corresponding user information, will be present identical
Cell-phone number and device number corresponding user portrait be combined, drawn a portrait set with obtaining user corresponding with each user.
In the present embodiment, user is being depicted according to the user information of each user respectively for every APP application program
After portrait, user's portrait corresponding with user each in every APP application program can be obtained.Due in each APP application program
There may be equitant users, if therefore determine the portrait of the user in the corresponding multiple APP application programs of a certain user, can be with
Obtain the corresponding user's portrait set of the user.After obtaining user's portrait set corresponding with each user, store to service
It is pre-set for storing the target storage domain of user's portrait set in device.
For example, APP pool of applications includes APP application program 1, APP application program 2 ... ..., APP application program N.
It draws a portrait in APP application program 1 including multiple users and each user portrait is transformed by corresponding user information, APP is answered
It include that multiple users draw a portrait in APP application program N with including multiple users portrait ... ... in program 2.If APP application program 1
A certain user draws a portrait, and (full name of such as IMEI code, IMEI is for cell-phone number that corresponding user information includes and device number
International MobileEquipment Identity, IMEI code indicate mobile device world identification code, are mobile phones
Unique identification number), it draws a portrait the cell-phone number and device number phase that corresponding user information includes with a certain user of APP application program N
Together, indicate that same user may have been used multiple APP application programs in APP pool of applications, the user is two at this time
The user's portrait generated in different APP application program use processes can merge, to obtain user's portrait of the user
Set.By the processing of above-mentioned steps, user's portrait set will be obtained using user as dimension, i.e., same user is in multiple APP
Corresponding user's portrait is merged in application program, has obtained user's portrait set corresponding with each user.
In one embodiment, as shown in figure 3, after step S140 further include:
S150, the screening conditions for receiving institute's typing, screening meets institute in user corresponding with each user draws a portrait and gathers
State user's portrait of screening conditions, the target formed with the corresponding user that obtains being drawn a portrait by the user for meeting the screening conditions
User's set；
S160, information to be pushed corresponding with the screening conditions is sent to each target use in target user's set
The corresponding client in family.
For example, set screening conditions be have money on deposit and have purchased fund, then according to this screening conditions with it is each
The user that screening meets the screening conditions in the corresponding user's portrait set of user draws a portrait, corresponding to the user's portrait filtered out
User constitute target user.After filtering out target user, information to be pushed corresponding with screening conditions can be pushed to
Target user realizes the oriented dispensing of information to be pushed.
In one embodiment, include: in step S160
The corresponding delivering end of the screening conditions is obtained, the information to be pushed that the delivering end is sent is received,
The information to be pushed is sent to the corresponding client of each target user in target user set.
The corresponding delivering end of i.e. described screening conditions may be some APP application journey in APP pool of applications
Information to be pushed need to be pushed to target user by the server of sequence, the server, and the information to be pushed is to send to described at this time
The corresponding client of each target user in target user's set realizes the message push between across APP application program.
This method draws user's portrait by more various dimensions, realizes deeper time analysis user behavior data.
The embodiment of the present invention also provides a kind of user behavior data analytical equipment, which is used for
Execute any embodiment of aforementioned user behavior data analysis method.Specifically, referring to Fig. 6, Fig. 6 is that the embodiment of the present invention mentions
The schematic block diagram of the user behavior data analytical equipment of confession.The user behavior data analytical equipment 100 can be configured at service
In device.
As shown in fig. 6, user behavior data analytical equipment 100 includes user information acquiring unit 110, data acquisition system acquisition
Unit 120, user's portrait acquiring unit 130, user's portrait integrated unit 140.
User information acquiring unit 110, for receiving and every APP application program in preset APP pool of applications
Corresponding user information；Wherein, the user information includes at least the ascribed characteristics of population, credit information, behavioural characteristic.
In the present embodiment, user is believed in a certain APP application program of registration and during specifically used by registration
The data generated in breath, use process can produce largely user information related with the user.User information is at least divided into three
Class, the ascribed characteristics of population, credit information, behavioural characteristic.
Wherein, the ascribed characteristics of population is used to describe the information of people's essential characteristic, and main function is to aid in the operation enterprise of APP
Know that whom client is, how to touch up to user.Specifically, address name, gender, at the age, telephone number, mailbox, home address is all
Belong to the ascribed characteristics of population.
Credit information is for describing user's revenue potential and income situation, ability to pay.The operation enterprise of APP is helped to understand
Customer capital situation and credit situation are conducive to position target customer.Specifically, client occupation, income, assets, debt,
It goes through, credit scoring etc. belongs to credit information.
Behavioural characteristic is for describing the main use habit of user and using preference, for finding high frequency and high value customer.
For the ease of screen client, can with reference to client business handling record by client directly it is qualitative be certain behavioural characteristic crowds,
Such as stock invester, fund financing crowd etc..
After obtaining user information corresponding with APP application program every in preset APP pool of applications, own
The relevant strong correlation information of user's portrait can be arranged and be concentrated from above-mentioned user information, and according to portrait demand, benefit
With the initial data for running batch job, process data, generation user's portrait.
Data acquisition system acquiring unit 120, for obtain in the APP pool of applications with every APP application program pair
Strong correlation data corresponding with set target scene in the user information answered, it is corresponding to obtain every APP application program
Strong correlation data acquisition system.
In one embodiment, as shown in figure 8, data acquisition system acquiring unit 120 includes:
Specify information acquiring unit 121, if selecting one of APP in the APP pool of applications for detecting
Application program obtains each user information of selected APP application program；
First acquisition unit 122, if selecting it in each user information of selected APP application program for detecting
In a user information, according to set target scene, obtaining the ascribed characteristics of population described in selected user information includes
Address name, cell-phone number, home address, using as the first strong correlation data corresponding with the ascribed characteristics of population；
Second acquisition unit 123, for obtaining letter described in selected user information according to set target scene
Academic information, the occupational information, assets information for including with information, using as the second strong correlation data corresponding with credit information；
Third acquiring unit 124, for according to set target scene, obtaining row described in selected user information
It is characterized including multiple product purchase informations, using as third strong correlation data corresponding with behavioural characteristic；
Data combination unit 125 is used for the first strong correlation data, the second strong correlation data and the third
Strong correlation data form strong correlation data corresponding with selected user information.
In the present embodiment, the strong correlation data corresponding with set target scene in obtaining the user information
When, target scene as the set is to find financing user, and process is as follows:
According to the principle of user's portrait, all portrait information should be above-mentioned 3 macrotaxonomy (ascribed characteristics of population, credit information, row
Be characterized) strong correlation data.Strong correlation data refer to the information of same business scenario strong correlation, can help the operator of APP
Target customer is positioned, client's potential demand is understood, develops requirement product.Such as address name, cell-phone number, home address be exactly can
The strong correlation data of the ascribed characteristics of population of enough touchings up to client；Taking in information, academic information, occupational information, assets information is exactly client
Credit information strong correlation data；Fund is bought, stock is bought, purchase finance product is exactly the strong correlation number of behavioural characteristic
According to.
When obtaining the corresponding strong correlation data acquisition system of every APP application program, can be drawn according to strong correlation data acquisition system
Make user's portrait of each user.
User draws a portrait acquiring unit 130, for by the strong correlation of APP application program each in the APP pool of applications
Data acquisition system is converted into label according to the tag library correspondence constructed in advance, corresponding with each user in each APP application program to form
User portrait.
In one embodiment, as shown in figure 9, user draws a portrait, acquiring unit 130 includes:
Tactful acquiring unit 131, acquisition is corresponding with strong correlation data each in strong correlation data acquisition system in the tag library
Label converting strategy；
Label converting unit 132, basis label converting strategy corresponding with strong correlation data each in strong correlation data acquisition system,
Label is converted by strong correlation data each in strong correlation data acquisition system correspondence；
Label combination unit 133, by the corresponding label of strong correlation data each in strong correlation data acquisition system, composition and each APP
The corresponding user's portrait of each user in application program.
In the present embodiment, the important process link that quantitative classification is user's portrait, tool are converted by qualitative information
There is higher business scenario requirement.Main purpose is to aid in enterprise and simplifies complex data, by the qualitative progress of transaction data
Sort out, and incorporate the requirement of business analysis, commercial processing is carried out to data.
Such as client can be divided into student according to age range, and young, young and middle-aged, the middle age, person in middle and old age, the life such as old age
Stage.Financial service demand derived from each division of life span is different, when finding target customer, can carry out mesh by division of life span
Mark client's positioning.Enterprise can use situations such as income, educational background, assets of client and client be divided into basic, normal, high end client, and
According to its financial service demand, different financial services is provided.It can be with reference to its financial consumption record and assets information, Yi Jijiao
Customer action feature is carried out qualitative description, distinguishes electric business client by easy product, the product of purchase, and manage money matters client, insurance visitor
Family, blue chip investment client, radical investment client etc..
After depicting user's portrait respectively according to the user information of each user for every APP application program, it can obtain
It draws a portrait to user corresponding with user each in every APP application program.
User's portrait integrated unit 140, if for there are identical cell-phone numbers in the corresponding user information of each user portrait
And device number, identical cell-phone number will be present and the corresponding user's portrait of device number is combined, to obtain and each user couple
The user answered, which draws a portrait, to be gathered.
In the present embodiment, user is being depicted according to the user information of each user respectively for every APP application program
After portrait, user's portrait corresponding with user each in every APP application program can be obtained.Due in each APP application program
There may be equitant users, if therefore determine the portrait of the user in the corresponding multiple APP application programs of a certain user, can be with
Obtain the corresponding user's portrait set of the user.
For example, APP pool of applications includes APP application program 1, APP application program 2 ... ..., APP application program N.
It draws a portrait in APP application program 1 including multiple users and each user portrait is transformed by corresponding user information, APP is answered
It include that multiple users draw a portrait in APP application program N with including multiple users portrait ... ... in program 2.If APP application program 1
A certain user draws a portrait, and (full name of such as IMEI code, IMEI is for cell-phone number that corresponding user information includes and device number
International MobileEquipment Identity, IMEI code indicate mobile device world identification code, are mobile phones
Unique identification number), it draws a portrait the cell-phone number and device number phase that corresponding user information includes with a certain user of APP application program N
Together, indicate that same user may have been used multiple APP application programs in APP pool of applications, the user is two at this time
The user's portrait generated in different APP application program use processes can merge, to obtain user's portrait of the user
Set.By above-mentioned processing, user's portrait set will be obtained using user as dimension, i.e., same user is in multiple APP application journeys
Corresponding user's portrait is merged in sequence, has obtained user's portrait set corresponding with each user.
In one embodiment, as shown in fig. 7, user behavior data analytical equipment 100 further include:
Screening unit 150, the screening conditions of typing for receiving, in user corresponding with each user draws a portrait and gathers
Screening meets user's portrait of the screening conditions, to obtain the corresponding user that drawn a portrait by the user for meeting the screening conditions
The target user of composition gathers；
Push unit 160, for information to be pushed corresponding with the screening conditions to be sent to target user's collection
The corresponding client of each target user in conjunction.
For example, set screening conditions be have money on deposit and have purchased fund, then according to this screening conditions with it is each
The user that screening meets the screening conditions in the corresponding user's portrait set of user draws a portrait, corresponding to the user's portrait filtered out
User constitute target user.After filtering out target user, information to be pushed corresponding with screening conditions can be pushed to
Target user realizes the oriented dispensing of information to be pushed.
In one embodiment, push unit 160 is also used to:
The corresponding delivering end of the screening conditions is obtained, the information to be pushed that the delivering end is sent is received,
The information to be pushed is sent to the corresponding client of each target user in target user set.
The corresponding delivering end of i.e. described screening conditions may be some APP application journey in APP pool of applications
Information to be pushed need to be pushed to target user by the server of sequence, the server, and the information to be pushed is to send to described at this time
The corresponding client of each target user in target user's set realizes the message push between across APP application program.
The device draws user's portrait by more various dimensions, realizes deeper time analysis user behavior data.
Above-mentioned user behavior data analytical equipment can be implemented as the form of computer program, which can be
It is run in computer equipment as shown in Figure 10.
Referring to Fig. 10, Figure 10 is the schematic block diagram of computer equipment provided in an embodiment of the present invention.The computer is set
Standby 500 be server, and server can be independent server, is also possible to the server cluster of multiple server compositions.
Refering to fig. 10, which includes processor 502, memory and the net connected by system bus 501
Network interface 505, wherein memory may include non-volatile memory medium 503 and built-in storage 504.
The non-volatile memory medium 503 can storage program area 5031 and computer program 5032.The computer program
5032 are performed, and processor 502 may make to execute user behavior data analysis method.
The processor 502 supports the operation of entire computer equipment 500 for providing calculating and control ability.
The built-in storage 504 provides environment for the operation of the computer program 5032 in non-volatile memory medium 503, should
When computer program 5032 is executed by processor 502, processor 502 may make to execute user behavior data analysis method.
The network interface 505 is for carrying out network communication, such as the transmission of offer data information.Those skilled in the art can
To understand, structure shown in Figure 10, only the block diagram of part-structure relevant to the present invention program, is not constituted to this hair
The restriction for the computer equipment 500 that bright scheme is applied thereon, specific computer equipment 500 may include than as shown in the figure
More or fewer components perhaps combine certain components or with different component layouts.
Wherein, the processor 502 is for running computer program 5032 stored in memory, to realize following function
Can: receive user information corresponding with APP application program every in preset APP pool of applications；Wherein, user's letter
Breath includes at least the ascribed characteristics of population, credit information, behavioural characteristic；Obtain in the APP pool of applications with every APP application journey
Strong correlation data corresponding with set target scene in the corresponding user information of sequence, to obtain every APP application program
Corresponding strong correlation data acquisition system；By the strong correlation data acquisition system of APP application program each in the APP pool of applications according to
The tag library correspondence constructed in advance is converted into label, to form user's portrait corresponding with user each in each APP application program；With
And if there are identical cell-phone number and device numbers in the corresponding user information of each user portrait, and identical cell-phone number will be present and set
Standby number corresponding user's portrait is combined, to obtain user's portrait set corresponding with each user.
In one embodiment, if processor 502 is in executing the corresponding user information of each user's portrait, there are identical
Cell-phone number and device number, identical cell-phone number will be present and device number corresponding user portrait is combined, with obtain with often
The corresponding user of one user draw a portrait set the step of after, also perform the following operations: receiving the screening conditions of institute's typing, with it is every
Screening meets user's portrait of the screening conditions in the corresponding user's portrait set of one user, to obtain by meeting the screening
The user of condition draws a portrait target user's set of corresponding user composition；It will information to be pushed corresponding with the screening conditions
It is sent to the corresponding client of each target user in target user set.
In one embodiment, processor 502 is answered in executing the acquisition APP pool of applications with every APP
When with the steps of strong correlation data corresponding with set target scene in the corresponding user information of program, following behaviour is executed
Make: selecting one of APP application program in the APP pool of applications if detecting, obtain selected APP application journey
Each user information of sequence；One of user's letter is selected in each user information of selected APP application program if detecting
Breath, according to set target scene, obtains address name, the mobile phone that the ascribed characteristics of population described in selected user information includes
Number, home address, using as the first strong correlation data corresponding with the ascribed characteristics of population；According to set target scene, institute is obtained
Academic information that credit information described in selected user information includes, occupational information, assets information, using as with credit information
Corresponding second strong correlation data；According to set target scene, behavioural characteristic described in selected user information is obtained
Including multiple product purchase informations, using as third strong correlation data corresponding with behavioural characteristic；By the first strong correlation number
Strong correlation number corresponding with selected user information is formed according to, the second strong correlation data and the third strong correlation data
According to.
In one embodiment, processor 502 is described by APP application program each in the APP pool of applications in execution
Strong correlation data acquisition system according to construct in advance tag library correspondence be converted into label, with form with each APP application program in respectively
When the step of the corresponding user's portrait of user, perform the following operations: in the tag library in acquisition and strong correlation data acquisition system
The corresponding label converting strategy of each strong correlation data；Turned according to label corresponding with strong correlation data each in strong correlation data acquisition system
Change strategy, converts label for strong correlation data each in strong correlation data acquisition system correspondence；By strong phase each in strong correlation data acquisition system
The corresponding label of data is closed, user's portrait corresponding with user each in each APP application program is formed.
In one embodiment, processor 502 is described by information to be pushed transmission corresponding with the screening conditions in execution
Into the target user set when step of the corresponding client of each target user, performs the following operations: obtaining the screening
The corresponding delivering end of condition receives the information to be pushed that the delivering end is sent, the information to be pushed is sent
The corresponding client of each target user into target user set.
It will be understood by those skilled in the art that the embodiment of computer equipment shown in Figure 10 is not constituted to computer
The restriction of equipment specific composition, in other embodiments, computer equipment may include components more more or fewer than diagram, or
Person combines certain components or different component layouts.For example, in some embodiments, computer equipment can only include depositing
Reservoir and processor, in such embodiments, the structure and function of memory and processor are consistent with embodiment illustrated in fig. 10,
Details are not described herein.
It should be appreciated that in embodiments of the present invention, processor 502 can be central processing unit
(CentralProcessing Unit, CPU), which can also be other general processors, digital signal processor
(Digital Signal Processor, DSP), specific integrated circuit (Application Specific
IntegratedCircuit, ASIC), ready-made programmable gate array (Field-Programmable GateArray, FPGA) or
Person other programmable logic device, discrete gate or transistor logic, discrete hardware components etc..Wherein, general processor
It can be microprocessor or the processor be also possible to any conventional processor etc..
Computer readable storage medium is provided in another embodiment of the invention.The computer readable storage medium can be with
For non-volatile computer readable storage medium.The computer-readable recording medium storage has computer program, wherein calculating
Machine program performs the steps of reception and every APP application program in preset APP pool of applications when being executed by processor
Corresponding user information；Wherein, the user information includes at least the ascribed characteristics of population, credit information, behavioural characteristic；Described in acquisition
It is corresponding with set target scene in user information corresponding with every APP application program in APP pool of applications
Strong correlation data, to obtain the corresponding strong correlation data acquisition system of every APP application program；It will be in the APP pool of applications
The strong correlation data acquisition system of each APP application program is converted into label according to the tag library correspondence constructed in advance, to form and each APP
The corresponding user's portrait of each user in application program；And if there are identical mobile phones in the corresponding user information of each user portrait
Number and device number, identical cell-phone number will be present and device number corresponding user portrait is combined, to obtain and each user
Corresponding user, which draws a portrait, to be gathered.
In one embodiment, if each user draws a portrait, there are identical cell-phone number and equipment in corresponding user information
Number, identical cell-phone number will be present and the corresponding user's portrait of device number is combined, to obtain use corresponding with each user
After the portrait set of family, further includes: the screening conditions for receiving institute's typing are sieved in user corresponding with each user draws a portrait and gathers
Choosing meets user's portrait of the screening conditions, to obtain corresponding user group of being drawn a portrait by the user for meeting the screening conditions
At target user set；Information to be pushed corresponding with the screening conditions is sent to each mesh in target user's set
Mark the corresponding client of user.
In one embodiment, described to obtain user corresponding with every APP application program in the APP pool of applications
Strong correlation data corresponding with set target scene in information, comprising: if detecting in the APP pool of applications
One of APP application program is selected, each user information of selected APP application program is obtained；It is being selected if detecting
APP application program each user information in select one of user information, according to set target scene, selected by acquisition
Address name that the ascribed characteristics of population described in fixed user information includes, cell-phone number, home address, using as corresponding with the ascribed characteristics of population
The first strong correlation data；According to set target scene, obtaining credit information described in selected user information includes
Academic information, occupational information, assets information, using as the second strong correlation data corresponding with credit information；According to set
Target scene, obtaining behavioural characteristic described in selected user information includes multiple product purchase informations, using as with row
It is characterized corresponding third strong correlation data；By the first strong correlation data, the second strong correlation data and the third
Strong correlation data form strong correlation data corresponding with selected user information.
In one embodiment, the strong correlation data acquisition system by APP application program each in the APP pool of applications
It is converted into label according to the tag library correspondence constructed in advance, is drawn with forming user corresponding with user each in each APP application program
Picture, comprising: label converting strategy corresponding with strong correlation data each in strong correlation data acquisition system is obtained in the tag library；Root
According to label converting strategy corresponding with strong correlation data each in strong correlation data acquisition system, by strong correlation each in strong correlation data acquisition system
Data correspondence is converted into label；By the corresponding label of strong correlation data each in strong correlation data acquisition system, composition and each APP application journey
The corresponding user's portrait of each user in sequence.
In one embodiment, described that information to be pushed corresponding with the screening conditions is sent to target user's collection
The corresponding client of each target user in conjunction, comprising: obtain the corresponding delivering end of the screening conditions, receive the information
It is corresponding to be sent to each target user in target user's set by the information to be pushed that issuing side is sent for the information to be pushed
Client.
It is apparent to those skilled in the art that for convenience of description and succinctly, foregoing description is set
The specific work process of standby, device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
Those of ordinary skill in the art may be aware that unit described in conjunction with the examples disclosed in the embodiments of the present disclosure and algorithm
Step can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and software
Interchangeability generally describes each exemplary composition and step according to function in the above description.These functions are studied carefully
Unexpectedly the specific application and design constraint depending on technical solution are implemented in hardware or software.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In several embodiments provided by the present invention, it should be understood that disclosed unit and method, it can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only logical function partition, there may be another division manner in actual implementation, can also will be with the same function
Unit set is at a unit, such as multiple units or components can be combined or can be integrated into another system or some
Feature can be ignored, or not execute.In addition, shown or discussed mutual coupling, direct-coupling or communication connection can
Be through some interfaces, the indirect coupling or communication connection of device or unit, be also possible to electricity, mechanical or other shapes
Formula connection.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.Some or all of unit therein can be selected to realize the embodiment of the present invention according to the actual needs
Purpose.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, is also possible to two or more units and is integrated in one unit.It is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in one storage medium.Based on this understanding, technical solution of the present invention is substantially in other words to existing
The all or part of part or the technical solution that technology contributes can be embodied in the form of software products, should
Computer software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be
Personal computer, server or network equipment etc.) execute all or part of step of each embodiment the method for the present invention
Suddenly.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), magnetic disk or
The various media that can store program code such as person's CD.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or replace
It changes, these modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection scope subject to.
Claims (10)
1. a kind of user behavior data analysis method characterized by comprising
Receive user information corresponding with APP application program every in preset APP pool of applications；Wherein, the user
Information includes at least the ascribed characteristics of population, credit information, behavioural characteristic；
Obtain in the APP pool of applications in user information corresponding with every APP application program with set target
The corresponding strong correlation data of scene, to obtain the corresponding strong correlation data acquisition system of every APP application program；
By the strong correlation data acquisition system of APP application program each in the APP pool of applications according to the tag library constructed in advance
Correspondence is converted into label, to form user's portrait corresponding with user each in each APP application program；And
If each user draws a portrait there are identical cell-phone number and device number in corresponding user information, will be present identical cell-phone number and
The corresponding user's portrait of device number is combined, to obtain user's portrait set corresponding with each user.
2. user behavior data analysis method according to claim 1, which is characterized in that corresponded to if each user draws a portrait
User information in there are identical cell-phone number and device number, identical cell-phone number and the corresponding user's portrait of device number will be present
It is combined, is drawn a portrait after set with obtaining corresponding with each user user, further includes:
The screening conditions for receiving institute's typing, screening meets the screening conditions in user corresponding with each user draws a portrait and gathers
User's portrait, the target user's set formed with the corresponding user that obtains being drawn a portrait by the user for meeting the screening conditions；
Will information to be pushed corresponding with the screening conditions to be sent to each target user in target user set corresponding
Client.
3. user behavior data analysis method according to claim 1, which is characterized in that described to obtain the APP application
Strong correlation number corresponding with set target scene in user information corresponding with every APP application program in collection of programs
According to, comprising:
One of APP application program is selected in the APP pool of applications if detecting, obtains selected APP application
Each user information of program；
If detecting and selecting one of user information in each user information of selected APP application program, according to set
The target scene set, with obtaining the address name, cell-phone number, family that the ascribed characteristics of population described in selected user information includes
Location, using as the first strong correlation data corresponding with the ascribed characteristics of population；
According to set target scene, academic information, the duty that credit information described in selected user information includes are obtained
Industry information, assets information, using as the second strong correlation data corresponding with credit information；
According to set target scene, obtaining behavioural characteristic described in selected user information includes multiple product purchase letters
Breath, using as third strong correlation data corresponding with behavioural characteristic；
By the first strong correlation data, the second strong correlation data and the third strong correlation data composition with it is selected
The corresponding strong correlation data of user information.
4. user behavior data analysis method according to claim 1, which is characterized in that described by the APP application journey
The strong correlation data acquisition system of each APP application program is converted into label according to the tag library correspondence constructed in advance in ordered sets, with group
It draws a portrait at user corresponding with user each in each APP application program, comprising:
Label converting strategy corresponding with strong correlation data each in strong correlation data acquisition system is obtained in the tag library；
It, will be each in strong correlation data acquisition system according to label converting strategy corresponding with strong correlation data each in strong correlation data acquisition system
Strong correlation data correspondence is converted into label；
By the corresponding label of strong correlation data each in strong correlation data acquisition system, form corresponding with each user in each APP application program
User portrait.
5. user behavior data analysis method according to claim 2, which is characterized in that it is described will be with the screening conditions
Corresponding information to be pushed is sent to the corresponding client of each target user in target user set, comprising:
The corresponding delivering end of the screening conditions is obtained, the information to be pushed that the delivering end is sent is received, by institute
It states information to be pushed and is sent to the corresponding client of each target user in target user set.
6. a kind of user behavior data analytical equipment characterized by comprising
User information acquiring unit, for receiving use corresponding with APP application program every in preset APP pool of applications
Family information；Wherein, the user information includes at least the ascribed characteristics of population, credit information, behavioural characteristic；
Data acquisition system acquiring unit, for obtaining user corresponding with every APP application program in the APP pool of applications
Strong correlation data corresponding with set target scene in information, to obtain the corresponding strong correlation of every APP application program
Data acquisition system；
User draws a portrait acquiring unit, for by the strong correlation data acquisition system of APP application program each in the APP pool of applications
It is converted into label according to the tag library correspondence constructed in advance, is drawn with forming user corresponding with user each in each APP application program
Picture；And
User's portrait integrated unit, if for there are identical cell-phone number and equipment in the corresponding user information of each user portrait
Number, identical cell-phone number will be present and the corresponding user's portrait of device number is combined, to obtain use corresponding with each user
Family portrait set.
7. user behavior data analytical equipment according to claim 6, which is characterized in that further include:
Screening unit, the screening conditions of typing for receiving screen symbol in user corresponding with each user draws a portrait and gathers
The user's portrait for closing the screening conditions, to obtain drawing a portrait what corresponding user formed by the user for meeting the screening conditions
Target user's set；
Push unit, for information to be pushed corresponding with the screening conditions to be sent to each mesh in target user's set
Mark the corresponding client of user.
8. user behavior data analytical equipment according to claim 6, which is characterized in that the user, which draws a portrait, obtains list
Member, comprising:
Tactful acquiring unit, for obtaining mark corresponding with strong correlation data each in strong correlation data acquisition system in the tag library
Sign Changing Strategy；
Label converting unit will for basis label converting strategy corresponding with strong correlation data each in strong correlation data acquisition system
Each strong correlation data correspondence is converted into label in strong correlation data acquisition system；
Label combination unit, for by the corresponding label of strong correlation data each in strong correlation data acquisition system, composition to be applied with each APP
The corresponding user's portrait of each user in program.
9. a kind of computer equipment, including memory, processor and it is stored on the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 5 when executing the computer program
Any one of described in user behavior data analysis method.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey
Sequence, the computer program make the processor execute such as use described in any one of claim 1 to 5 when being executed by a processor
Family behavioral data analysis method.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110620812A (en) * | 2019-08-15 | 2019-12-27 | 平安普惠企业管理有限公司 | Interactive information pushing method and device, computer equipment and storage medium |
| CN110674144A (en) * | 2019-08-14 | 2020-01-10 | 深圳壹账通智能科技有限公司 | User portrait generation method and device, computer equipment and storage medium |
| CN111210275A (en) * | 2020-01-06 | 2020-05-29 | 平安科技（深圳）有限公司 | User portrait construction method and device based on VR data and computer equipment |
| CN111260466A (en) * | 2020-01-20 | 2020-06-09 | 北京合信力科技有限公司 | Method and device for processing reach task |
| CN111597453A (en) * | 2020-03-31 | 2020-08-28 | 平安科技（深圳）有限公司 | User image drawing method and device, computer equipment and computer readable storage medium |
| CN111652658A (en) * | 2020-06-11 | 2020-09-11 | 北京妙医佳健康科技集团有限公司 | Portrait fusion method, apparatus, electronic device and computer readable storage medium |
| CN112328895A (en) * | 2020-11-25 | 2021-02-05 | Oppo广东移动通信有限公司 | User portrait generation method, device, server and storage medium |
| CN112351441A (en) * | 2019-08-06 | 2021-02-09 | 中国移动通信集团广东有限公司 | Data processing method and device and electronic equipment |
| CN112347372A (en) * | 2020-10-30 | 2021-02-09 | 银盛支付服务股份有限公司 | Method for service promotion of financial enterprise based on user portrait scheme |
| WO2021092922A1 (en) * | 2019-11-15 | 2021-05-20 | 深圳市欢太科技有限公司 | Information pushing method and apparatus, server and computer-readable medium |
| CN113254804A (en) * | 2021-07-06 | 2021-08-13 | 武汉荟友网络科技有限公司 | Social relationship recommendation method and system based on user attributes and behavior characteristics |
| CN113553105A (en) * | 2020-04-23 | 2021-10-26 | 百度在线网络技术（北京）有限公司 | Method and device for generating guide page |
| CN114208135A (en) * | 2019-10-31 | 2022-03-18 | 深圳市欢太科技有限公司 | Information pushing method and device, server and storage medium |
| CN114820203A (en) * | 2022-05-25 | 2022-07-29 | 未鲲(上海)科技服务有限公司 | Message pushing method and device based on intelligent analysis and computer equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108596679A (en) * | 2018-04-27 | 2018-09-28 | 中国联合网络通信集团有限公司 | Construction method, device, terminal and the computer readable storage medium of user's portrait |
| CN109118288A (en) * | 2018-08-22 | 2019-01-01 | 中国平安人寿保险股份有限公司 | Target user's acquisition methods and device based on big data analysis |
| CN109145047A (en) * | 2018-06-29 | 2019-01-04 | 深圳市彬讯科技有限公司 | Configuration method, data processing equipment and the storage medium of user tag portrait |
| CN109213802A (en) * | 2018-08-16 | 2019-01-15 | 北京百度网讯科技有限公司 | User's portrait construction method, device, terminal and computer readable storage medium |
-
2019
- 2019-03-15 CN CN201910198356.3A patent/CN110069702A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108596679A (en) * | 2018-04-27 | 2018-09-28 | 中国联合网络通信集团有限公司 | Construction method, device, terminal and the computer readable storage medium of user's portrait |
| CN109145047A (en) * | 2018-06-29 | 2019-01-04 | 深圳市彬讯科技有限公司 | Configuration method, data processing equipment and the storage medium of user tag portrait |
| CN109213802A (en) * | 2018-08-16 | 2019-01-15 | 北京百度网讯科技有限公司 | User's portrait construction method, device, terminal and computer readable storage medium |
| CN109118288A (en) * | 2018-08-22 | 2019-01-01 | 中国平安人寿保险股份有限公司 | Target user's acquisition methods and device based on big data analysis |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112351441B (en) * | 2019-08-06 | 2023-08-15 | 中国移动通信集团广东有限公司 | Data processing method and device and electronic equipment |
| CN112351441A (en) * | 2019-08-06 | 2021-02-09 | 中国移动通信集团广东有限公司 | Data processing method and device and electronic equipment |
| CN110674144A (en) * | 2019-08-14 | 2020-01-10 | 深圳壹账通智能科技有限公司 | User portrait generation method and device, computer equipment and storage medium |
| WO2021027595A1 (en) * | 2019-08-14 | 2021-02-18 | 深圳壹账通智能科技有限公司 | User portrait generation method and apparatus, computer device, and computer-readable storage medium |
| CN110620812A (en) * | 2019-08-15 | 2019-12-27 | 平安普惠企业管理有限公司 | Interactive information pushing method and device, computer equipment and storage medium |
| CN114208135A (en) * | 2019-10-31 | 2022-03-18 | 深圳市欢太科技有限公司 | Information pushing method and device, server and storage medium |
| CN114208135B (en) * | 2019-10-31 | 2023-08-29 | 深圳市欢太科技有限公司 | Information pushing method, device, server and storage medium |
| WO2021092922A1 (en) * | 2019-11-15 | 2021-05-20 | 深圳市欢太科技有限公司 | Information pushing method and apparatus, server and computer-readable medium |
| CN111210275A (en) * | 2020-01-06 | 2020-05-29 | 平安科技（深圳）有限公司 | User portrait construction method and device based on VR data and computer equipment |
| CN111210275B (en) * | 2020-01-06 | 2023-07-21 | 平安科技（深圳）有限公司 | VR data-based user portrait construction method and device and computer equipment |
| CN111260466A (en) * | 2020-01-20 | 2020-06-09 | 北京合信力科技有限公司 | Method and device for processing reach task |
| CN111597453B (en) * | 2020-03-31 | 2024-05-07 | 平安科技（深圳）有限公司 | User image drawing method, device, computer equipment and computer readable storage medium |
| CN111597453A (en) * | 2020-03-31 | 2020-08-28 | 平安科技（深圳）有限公司 | User image drawing method and device, computer equipment and computer readable storage medium |
| CN113553105A (en) * | 2020-04-23 | 2021-10-26 | 百度在线网络技术（北京）有限公司 | Method and device for generating guide page |
| CN111652658A (en) * | 2020-06-11 | 2020-09-11 | 北京妙医佳健康科技集团有限公司 | Portrait fusion method, apparatus, electronic device and computer readable storage medium |
| CN112347372A (en) * | 2020-10-30 | 2021-02-09 | 银盛支付服务股份有限公司 | Method for service promotion of financial enterprise based on user portrait scheme |
| CN112328895A (en) * | 2020-11-25 | 2021-02-05 | Oppo广东移动通信有限公司 | User portrait generation method, device, server and storage medium |
| CN112328895B (en) * | 2020-11-25 | 2024-07-19 | Oppo广东移动通信有限公司 | User portrait generation method, device, server and storage medium |
| CN113254804B (en) * | 2021-07-06 | 2021-12-03 | 武汉荟友网络科技有限公司 | Social relationship recommendation method and system based on user attributes and behavior characteristics |
| CN113254804A (en) * | 2021-07-06 | 2021-08-13 | 武汉荟友网络科技有限公司 | Social relationship recommendation method and system based on user attributes and behavior characteristics |
| CN114820203A (en) * | 2022-05-25 | 2022-07-29 | 未鲲(上海)科技服务有限公司 | Message pushing method and device based on intelligent analysis and computer equipment |
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