CN112417274A - Message pushing method and device, electronic equipment and storage medium - Google Patents
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Abstract
The embodiment of the application discloses a message pushing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring basic government affair data and business government affair data of a user; constructing a user portrait according to the basic government affair data and the business government affair data; and pushing a message to the user according to the user portrait. Through when drawing a portrait of the user, the basic government data and the business government data of the user are combined, the user drawing a portrait of the user can be more comprehensive, and then the user drawing a portrait, accurate pushing of messages can be achieved, and a new idea is provided for operation.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a message pushing method and device, electronic equipment and a storage medium.
Background
With the development of internet technology, the application of message pushing is more and more extensive. Currently, the pushing of messages is usually based on the user profile. The user portrait refers to a virtual representation of a real user and is a target user model established on a series of attribute data.
In the prior art, user portrait analysis only analyzes user basic data, so that user portrait limitation is caused, and accuracy of message pushing is affected.
Disclosure of Invention
The embodiment of the application provides a message pushing method and device, electronic equipment and a storage medium, so as to realize accurate pushing of messages.
In a first aspect, an embodiment of the present application provides a message pushing method, including:
acquiring basic government affair data and business government affair data of a user;
constructing a user portrait according to the basic government affair data and the business government affair data;
and pushing a message to the user according to the user portrait.
In a second aspect, an embodiment of the present application provides a message pushing apparatus, including:
the data acquisition module is used for acquiring basic government affair data and business government affair data of the user;
the user portrait construction module is used for constructing a user portrait according to the basic government affair data and the business government affair data;
and the message pushing module is used for pushing a message to the user according to the user portrait.
In a third aspect, an embodiment of the present application provides an electronic device, including:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a message push method as in any embodiment of the present application.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a message pushing method according to any embodiment of the present application.
According to the technical scheme, when the user portrait is constructed, the obtained basic government data and the obtained business government data of the user are combined, the constructed user portrait can be more comprehensive, and then the user portrait can realize accurate pushing of messages, and a new idea is provided for operation.
Drawings
Fig. 1 is a flowchart of a message pushing method according to an embodiment of the present application;
fig. 2 is a flowchart of a message pushing method according to a second embodiment of the present application;
fig. 3 is a flowchart of a message pushing method according to a third embodiment of the present application;
fig. 4 is a flowchart of a message pushing method according to a fourth embodiment of the present application;
fig. 5 is a flowchart of a message pushing method according to a fifth embodiment of the present application;
fig. 6 is a signaling diagram of a message pushing process according to a sixth embodiment of the present application;
fig. 7 is a schematic structural diagram of a message pushing apparatus according to a seventh embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device according to an eighth embodiment of the present application.
Detailed Description
The embodiments of the present application will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the embodiments of the application and are not limiting of the application. It should be further noted that, for convenience of description, only some structures related to the embodiments of the present application are shown in the drawings, not all of the structures are shown.
Example one
Fig. 1 is a flowchart of a message pushing method according to an embodiment of the present application, which is applicable to a message pushing situation during product operation, so as to solve the problem in the prior art that a user portrait is limited due to data loss, and thus the message pushing is not accurate. The method can be executed by the message pushing apparatus provided in the embodiment of the present application, and the apparatus can be implemented in a hardware and/or software manner, and can be integrated in an electronic device bearing a message pushing function, such as a server device. Referring to fig. 1, the method may specifically include:
and S110, acquiring basic government affair data and business government affair data of the user.
The basic government affair data comprises at least one of name, age, certificate information, government affair working time, institutions and the like, wherein the certificate information is certificate information used by a user when registering an account, such as identity card information, student information, military officer certificate information and the like; the business government affair data is data integrating government affair related data through big data technology in the government business field, and may include at least one of city construction business data, city management statistics monitoring business data, service and civil consumption data, etc. Wherein, the city construction business data can include but is not limited to business data related to traffic facilities, business data related to real estate and business data related to tourism; the city management statistics monitoring service data comprises but is not limited to industrial and commercial management data, tax related data, enterprise registration data and the like, and the service and civil consumption data comprises but is not limited to data of water and electricity payment, gas payment, communication payment, social security and the like.
In this embodiment, the basic government data and the business government data of the user can be acquired from a government system of a public cloud, a user center, a transaction directory and other systems of a private cloud, and an external channel of a third party. The public cloud is generally a cloud which can be used and is provided by a third-party provider for users, can be used through the internet and can be free or low in cost, and the core attribute of the public cloud is a shared resource service, such as a local cloud computing platform dominated by a traditional telecommunication infrastructure operator and a government. Private clouds are built for one user to use alone and thus provide the most effective control over data, security and quality of service. The private cloud can be deployed in a firewall of an enterprise data center, or can be deployed in a safe host hosting place, and the core attribute of the private cloud is a proprietary resource.
Optionally, the obtaining of the basic government affair data and the business government affair data of the user may be: and acquiring basic government affair data and business government affair data of the user in a buried point mode. Specifically, data embedding points are set in an Application program (APP), a webcam, a small program and the like, embedding point data are collected and stored in a kafka message queue, a big data platform obtains the user embedding point data in the kafka in real time, and the user behavior embedding point data is stored in a database of the big data platform to obtain basic government affair data and business government affair data of a user. Wherein, the data embedding point is a statistical code implanted in a product and service conversion key point, and ensures that data acquisition is not repeated (such as the click rate of a purchase button) according to the independent ID; and implanting multiple sections of codes, and tracking the series of behaviors of the user on each interface of the platform, wherein the events are independent.
And S120, constructing the user portrait according to the basic government affair data and the business government affair data.
Wherein the user representation is comprised of at least one content tag for characterizing a primary audience and a target group of representative products; wherein, the content label comprises at least one of static attribute, dynamic attribute, psychological attribute, consumption attribute and the like; the static attributes may include, for example, age, academic calendar, industry, role, region, and the like; dynamic attributes may include, for example, investments, payments, loans, and the like; the psychological attributes refer to psychological reactions or psychological activities of the users in the processes of environment, society, or interpersonal and emotional activities, and in the embodiment, the psychological attributes of the users are divided so as to better design and operate products according to the psychological behaviors of the users; the consumption attributes may include a user's consumption intention, consumption ability, consumption level, consumption psychology, and the like.
In this embodiment, a user portrait can be obtained by performing modeling analysis on basic government data and business government data according to these data.
In order to make the user portrait richer, as an optional way of this embodiment, the user portrait may be constructed according to the user behavior data, the basic government affair data and the business government affair data. The user behavior data may be click behavior, browsing behavior, etc. of the user.
S130, pushing a message to the user according to the user portrait.
Wherein, the message can be at least one of marketing message, service message, notification message, etc., and the form of the message can be at least one of short message, voice, mail, telephone, etc.
In this embodiment, a corresponding user is matched according to the user profile, and a message is pushed to the user. For example, if the user image includes a life payment, the user image is matched with a user related to the life payment, and notification information of the regular payment is pushed to the user.
Optionally, the corresponding user is matched according to the user portrait, and the message is pushed to the user in a voice and/or short message mode through a converged communication and/or short message gateway.
According to the technical scheme, when the user portrait is constructed, the obtained basic government data and the obtained business government data of the user are combined, the constructed user portrait can be more comprehensive, and then the user portrait can realize accurate pushing of messages, and a new idea is provided for operation.
On the basis of the embodiment, in order to enable the determined user portrait to accurately depict the user, after the basic government affair data and the business government affair data of the user are obtained, cleaning processing can be further performed on the basic government affair data and the business government affair data. Specifically, the filtering process may be performed on duplicate invalid data in the basic government affair data and the business government affair data.
It can be appreciated that through the clearness of the basic government data and the business government data, duplicate and invalid data are removed, so that the user portrait constructed subsequently is more accurate.
Example two
Fig. 2 is a flowchart of a message pushing method provided in the second embodiment of the present application, where on the basis of the second embodiment, a target tag is introduced to determine a user performing message pushing.
The message pushing method shown in fig. 2 includes:
s210, acquiring basic government affair data and business government affair data of the user.
And S220, constructing the user portrait according to the basic government affair data and the business government affair data.
And S230, determining a target user according to the target label and the user portrait.
The target label is a label set according to business requirements, for example, the target label may be an age group, an industry, a water and electricity fee, a network fee, and the like.
In this embodiment, in order to find a user who meets a requirement more accurately, a target user may be determined according to a target tag and a user portrait. For example, in a female insurance product with the age range of 30-50 years, the target label is set to be 30-50 years old and female, and the target label is used as an index word to be matched with the portrait of the user to determine the target user.
And S240, pushing the message to the target user.
In this embodiment, a message may be pushed to a target user in a voice and/or short message manner through a converged communication and/or short message gateway. For example, a message related to the insurance product is pushed to the determined target user.
According to the method and the device, the target user is determined according to the target label and the user portrait by introducing the target label; and the message is pushed to the target user, so that a more accurate user can be obtained, and the accurate pushing of the message is realized.
EXAMPLE III
Fig. 3 is a flowchart of a message pushing method provided in the third embodiment of the present application, where key content is introduced to determine a user performing message pushing based on the third embodiment.
The message pushing method shown in fig. 3 includes:
s310, acquiring basic government affair data and business government affair data of the user.
And S320, constructing the user portrait according to the basic government affair data and the business government affair data.
And S330, determining the key content of the target message.
The target message is a message needing to be pushed to a user; the key content is abstracted according to the target message and can represent the central idea of the target message, and for example, the key content can be a title, a content abstract, a keyword and the like.
In this embodiment, the key content of the target message may be determined based on a natural language processing technique. For example, semantic analysis may be performed on the target message, so as to obtain the key content of the target message.
And S340, determining a target user according to the key content and the user portrait.
Specifically, the key content can be used as an index word to be matched with the user portrait to determine the target user. Furthermore, in order to accurately push the message and more accurately match the user group of the target message, the target user can be determined according to the key content, the designated tag and the user portrait. Specifically, the key content and the designated tag can be used as index words to be matched with the user portrait to determine the target user. The specific label may be a label preset according to business requirements, such as gender, age, and the like.
And S350, pushing the target message to the target user.
In this embodiment, the target message may be pushed to the target user in a voice and/or short message manner through the converged communication and/or short message gateway.
According to the method and the device, the key content of the target message is determined by introducing the key content, and then a user attached to the target message, namely a target user, is further matched according to the key content and the user portrait; and then the target message is pushed to the target user, so that the accurate pushing of the message is realized.
Example four
Fig. 4 is a flowchart of a message pushing method according to a fourth embodiment of the present application, where on the basis of the foregoing embodiment, a clustering operation is performed on user figures, so as to determine a user performing message pushing.
The message pushing method shown in fig. 4 includes:
and S410, acquiring basic government affair data and business government affair data of the user.
And S420, constructing the user portrait according to the basic government affair data and the business government affair data.
S430, clustering the user portrait.
In this embodiment, in order to more accurately realize accurate pushing of the target message, the constructed user figures are clustered. Optionally, a K-Means (K-Means) clustering method may be used to cluster the user images. Optionally, the similarity of the user figures can be calculated, the user figures are clustered according to the similarity, and the user figures with similar similarities are regarded as the same category.
And S440, determining a target user according to the clustering result and the target message.
In the embodiment, the user portrait is clustered to obtain a clustering result of the user portrait, and a target user is determined according to the clustering result and the target message. Optionally, according to the clustering result, users of different categories may be determined, and then according to the target message, a category of users matched with the target message is determined as the target user.
S450, pushing the target message to the target user.
In this embodiment, the target message may be pushed to the target user in a voice and/or short message manner through the converged communication and/or short message gateway.
According to the method and the device, the users of different categories can be analyzed by clustering the portrait of the users, and then the users of the same category can be screened out to push the messages according to the clustering result and the target messages, so that classified operation is realized.
EXAMPLE five
Fig. 5 is a flowchart of a message pushing method according to a fifth embodiment of the present application, and based on the foregoing embodiment, a method for clustering user figures to determine a user performing message pushing is further provided.
The message pushing method shown in fig. 5 includes:
and S510, acquiring basic government affair data and business government affair data of the user.
S520, constructing the user portrait according to the basic government affair data and the business government affair data.
S530, clustering the user portrait.
And S540, determining the message to be pushed and the target user according to the clustering result.
In this embodiment, according to the clustering result, the message to be pushed and the target user are determined, and different clustering results are obtained, the determined message to be pushed is different, and the determined target user is different.
In order to further implement accurate pushing of a message, as an optional manner of this embodiment, the following may be implemented: determining similar users according to the clustering result; determining a special label and a target user according to the user images of the similar users; and determining the message to be pushed according to the content of the special label. Wherein, similar users refer to similar users in the same category
Specifically, according to the clustering result, the users with high similarity are used as similar users in the user group of the same category; after the similar users are determined, comparing user figures of the similar users, taking content labels which are not owned by the similar users together as unique labels, and taking users who do not hold the unique labels as target users; and determining the message to be pushed according to the content of the special label.
And S550, sending the message to be pushed to the target user.
In this embodiment, the message to be pushed can be pushed to the target user in a voice and/or short message manner through the converged communication and/or short message gateway.
For example, if the user a purchases a financial product, the content tag in the user portrait has a tag related to the financial product, and the user B does not purchase the financial product, i.e., the content tag in the user portrait of the user B does not have a tag related to the financial product, the tag is used as a specific tag, and the user B is used as a target user. And determining the message to be pushed, namely the message related to the financial product according to the special label, and pushing the information related to the financial product to the target user.
Similar users are introduced, clustering operation is conducted on the user portrait, the similar users are determined according to clustering results, and then the messages to be pushed and the target users are determined, so that classified operation of the users is achieved, and more accurate message pushing can be conducted.
EXAMPLE six
Fig. 6 is a signaling diagram of a message pushing process provided in a sixth embodiment of the present application, and on the basis of the foregoing embodiment, a preferred implementation manner is provided. The whole set of message pushing method is specifically executed by the cooperation of the big data platform, the operation management platform and the user terminal to realize the pushing of the message, and the specific process is as follows:
s601, the big data platform acquires data in a buried point mode.
Specifically, the big data platform acquires government affair service data, behavior log data, user attribute data and supplementary industry data of the user from a government affair system of a public cloud, a user center of a private cloud, a transaction directory and other systems and a third-party external channel in a point-buried manner.
And S602, carrying out data analysis by the big data platform and constructing a user portrait.
In this embodiment, the big data platform analyzes the obtained government affair service data, behavior log data, user attribute data and supplementary industry data of the user, and constructs a user portrait. Specifically, a machine learning method may be used for data analysis.
S603, the operation management platform sends a target label to the big data platform;
and S604, the big data platform acquires the target label sent by the operation management platform, and generates a result list according to the user portrait and the target label.
In this embodiment, the result list includes the target user and the communication device information associated with the target user. Specifically, the big data platform performs screening matching from a user list according to the target label and the constructed user portrait to obtain a target user, and writes the equipment number or the mobile phone number of the target user into a result list.
And S605, the big data platform sends the result list to the operation management platform.
And S606, configuring the message by the operation management platform.
The message is stored in a message management table in the operation management platform and is generated by the operation management platform or an administrator through editing.
It should be noted that S606 may be executed between S601 to S605 or before or after.
S607, the operation management platform reads the result list to obtain the user information;
the user information may include a device number, a mobile phone number, and the like of the user.
And S608, the operation management platform sends the message to the user.
Specifically, the operation management platform reads the result list within a preset time period, calls the converged communication/short message gateway, and sends a message to the user. Meanwhile, the transmitted flow information is stored in the operation management platform, wherein the flow information refers to the number of the transmitted messages and whether the messages are transmitted successfully.
And S609, the user terminal receives the message.
In this embodiment, the user terminal receives a message. Specifically, the message is saved in an Application program (APP) of the user terminal, for example, the message may be a "my message" in the APP, so that the user views the message in the "my message".
S610, the user terminal feeds back the message receiving information to the operation management platform.
Specifically, if the user terminal successfully receives the message, the user terminal sends message receiving success information to the operation management platform; and if the receiving fails, sending message receiving failure information to the operation management platform.
S611, the operation management platform counts the message sending according to the message receiving information.
Specifically, if receiving the message receiving success information, the operation management platform writes the message sending success information into the message sending success statistical table; if receiving the message receiving failure information, writing the message sending failure information into a message sending failure statistical table. So that the operation manager can conveniently check the message sending condition.
EXAMPLE seven
The seventh embodiment of the application provides a schematic structural diagram of a message pushing device, and the embodiment is applicable to the situation of message pushing in product operation, so as to solve the problems that in the prior art, due to data loss, a user portrait is limited, and further message pushing is inaccurate. The device can be implemented by hardware and/or software, and can be integrated in an electronic device bearing a message pushing function, such as a server device.
The message pushing apparatus shown in fig. 7 comprises a data acquisition module 710, a user representation construction module 720 and a message pushing module 730, wherein,
the data acquisition module 710 is used for acquiring basic government affair data and business government affair data of a user;
the user portrait construction module 720 is used for constructing a user portrait according to the basic government data and the business government data;
and a message pushing module 730, configured to push a message to the user according to the user representation.
Wherein, the basic government affair data comprises at least one of certificate information, government affair working time and institution; the business government affair data comprises at least one of city construction business data, city management statistics monitoring business data, service, civil consumption and the like.
According to the technical scheme, when the user portrait is constructed, the obtained basic government data and the obtained business government data of the user are combined, the constructed user portrait can be more comprehensive, and then the user portrait can realize accurate pushing of messages, and a new idea is provided for operation.
Further, the data obtaining module 710 is specifically configured to obtain basic government affair data and business government affair data of the user in a buried point form.
Further, the message pushing module 730 comprises a target user determining unit and a message pushing unit, wherein,
the target user determining unit is used for determining a target user according to the target label and the user portrait;
and the message pushing unit is used for pushing the message to the target user.
Further, the message pushing module 730 comprises a key content determining unit, wherein,
a key content determination unit for determining key content of the target message;
the target user determining unit is also used for determining a target user according to the key content and the user portrait;
and the message pushing unit is used for pushing the target message to the target user.
Further, the message pushing module 730 comprises a user profile clustering unit, wherein,
the user portrait clustering unit is used for clustering the user portraits;
the target user determining unit is also used for determining a target user according to the clustering result and the target message;
and the message pushing unit is used for pushing the target message to the target user.
Further, the message push module 730 comprises a user identification unit and a message, wherein,
the user portrait clustering unit is used for clustering the user portraits;
the message and user determining unit is used for determining a message to be pushed and a target user according to the clustering result;
and the message pushing unit is also used for sending the message to be pushed to the target user.
Further, the message and user determination unit further comprises a similar user determination subunit, a tag and user determination subunit, and a to-be-pushed message determination subunit, wherein,
the similar user determining subunit is used for determining similar users according to the clustering result;
the label and user determining subunit is used for determining a special label and a target user according to the user images of similar users;
and the message to be pushed determining subunit is used for determining the message to be pushed according to the content of the special label.
Furthermore, the device also comprises a data cleaning module, wherein the data cleaning module is used for cleaning the basic government affair data and the business government affair data.
The message pushing device provided in the above embodiments may execute the message pushing method provided in any embodiment of the present application, and has a functional module and a beneficial effect corresponding to the execution of the method.
Example eight
Fig. 8 is a schematic structural diagram of an electronic device according to an eighth embodiment of the present application, and fig. 8 shows a block diagram of an exemplary device suitable for implementing an embodiment of the present application. The device shown in fig. 8 is only an example, and should not bring any limitation to the function and the scope of use of the embodiments of the present application.
As shown in FIG. 8, device 12 is in the form of a general purpose computing device. The components of device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
Device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 8, and commonly referred to as a "hard drive"). Although not shown in FIG. 8, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the application.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally perform the functions and/or methodologies of the embodiments described herein.
Device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with device 12, and/or with any devices (e.g., network card, modem, etc.) that enable device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via the network adapter 20. As shown, the network adapter 20 communicates with the other modules of the device 12 via the bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, to implement the message pushing method provided in the embodiment of the present application.
Example nine
An embodiment ninth of the present application further provides a computer-readable storage medium, on which a computer program (or referred to as computer-executable instructions) is stored, where the program is used for executing, by a processor, the message pushing method provided in the embodiment of the present application, and the method includes:
acquiring basic government affair data and business government affair data of a user;
constructing a user portrait according to the basic government affair data and the business government affair data;
and pushing the message to the user according to the user portrait.
The computer storage media of the embodiments of the present application may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present application and the technical principles employed. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments illustrated herein, and that various obvious changes, rearrangements and substitutions may be made therein by those skilled in the art without departing from the scope of the application. Therefore, although the embodiments of the present application have been described in more detail through the above embodiments, the embodiments of the present application are not limited to the above embodiments, and many other equivalent embodiments may be included without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the appended claims.
Claims (12)
1. A message pushing method, the method comprising:
acquiring basic government affair data and business government affair data of a user;
constructing a user portrait according to the basic government affair data and the business government affair data;
and pushing a message to the user according to the user portrait.
2. The method according to claim 1, wherein the obtaining of the user's basic government data and business government data comprises:
and acquiring basic government affair data and business government affair data of the user in a buried point mode.
3. The method of claim 1, wherein pushing a message to a user based on the user representation comprises:
determining a target user according to a target label and the user image;
and pushing a message to the target user.
4. The method of claim 1, wherein pushing a message to a user based on the user representation comprises:
determining key content of a target message;
determining a target user according to the key content and the user portrait;
and pushing a target message to the target user.
5. The method of claim 1, wherein pushing a message to a user based on the user representation comprises:
clustering the user portraits;
determining a target user according to the clustering result and the target message;
and pushing a target message to the target user.
6. The method of claim 1, wherein pushing a message to a user based on the user representation comprises:
clustering the user portraits;
determining a message to be pushed and a target user according to the clustering result;
and sending the message to be pushed to the target user.
7. The method of claim 6, wherein determining the message to be pushed and the target user according to the clustering result comprises:
determining similar users according to the clustering result;
determining a special label and a target user according to the user images of the similar users;
and determining the message to be pushed according to the content of the special label.
8. The method according to claim 1, wherein the basic government data includes at least one of certificate information, working hours and institutions from government affairs, etc.; the business government affair data comprises at least one of city construction business data, city management statistics and supervision business data, service and civil consumption data and the like.
9. The method according to claim 1, further comprising, after obtaining the user's basic government data and business government data:
and cleaning the basic government affair data and the business government affair data.
10. A message push apparatus, the apparatus comprising:
the data acquisition module is used for acquiring basic government affair data and business government affair data of the user;
the user portrait construction module is used for constructing a user portrait according to the basic government affair data and the business government affair data;
and the message pushing module is used for pushing a message to the user according to the user portrait.
11. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the message push method of any of claims 1-9.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the message push method according to any one of claims 1-9.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112836134A (en) * | 2021-03-17 | 2021-05-25 | 苏州帕普云数科技有限公司 | Personalized push management method based on behavior data analysis |
| CN113496445A (en) * | 2021-07-30 | 2021-10-12 | 数字广东网络建设有限公司 | Information pushing method, device, equipment and storage medium |
| CN113553511A (en) * | 2021-07-30 | 2021-10-26 | 中国建设银行股份有限公司 | User real-time recommendation method, device, system, equipment and readable storage medium |
| WO2024020708A1 (en) * | 2022-07-25 | 2024-02-01 | 深圳市富途网络科技有限公司 | Data processing method and apparatus for user profile, device, medium, and program |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020151164A1 (en) * | 2019-01-23 | 2020-07-30 | 平安科技（深圳）有限公司 | Message pushing method and apparatus, computer device and storage medium |
| CN111723256A (en) * | 2020-06-03 | 2020-09-29 | 开普云信息科技股份有限公司 | Government affair user portrait construction method and system based on information resource library |
| CN111882398A (en) * | 2020-07-31 | 2020-11-03 | 深圳市华云中盛科技股份有限公司 | Smart city service recommendation method and device, computer equipment and storage medium |
| CN111898023A (en) * | 2020-07-24 | 2020-11-06 | 北京口袋财富信息科技有限公司 | Message pushing method and device, readable storage medium and computing equipment |
-
2020
- 2020-11-17 CN CN202011289158.7A patent/CN112417274A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020151164A1 (en) * | 2019-01-23 | 2020-07-30 | 平安科技（深圳）有限公司 | Message pushing method and apparatus, computer device and storage medium |
| CN111723256A (en) * | 2020-06-03 | 2020-09-29 | 开普云信息科技股份有限公司 | Government affair user portrait construction method and system based on information resource library |
| CN111898023A (en) * | 2020-07-24 | 2020-11-06 | 北京口袋财富信息科技有限公司 | Message pushing method and device, readable storage medium and computing equipment |
| CN111882398A (en) * | 2020-07-31 | 2020-11-03 | 深圳市华云中盛科技股份有限公司 | Smart city service recommendation method and device, computer equipment and storage medium |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112836134A (en) * | 2021-03-17 | 2021-05-25 | 苏州帕普云数科技有限公司 | Personalized push management method based on behavior data analysis |
| CN112836134B (en) * | 2021-03-17 | 2023-08-22 | 苏州帕普云数科技有限公司 | Personalized push management method based on behavior data analysis |
| CN113496445A (en) * | 2021-07-30 | 2021-10-12 | 数字广东网络建设有限公司 | Information pushing method, device, equipment and storage medium |
| CN113553511A (en) * | 2021-07-30 | 2021-10-26 | 中国建设银行股份有限公司 | User real-time recommendation method, device, system, equipment and readable storage medium |
| WO2024020708A1 (en) * | 2022-07-25 | 2024-02-01 | 深圳市富途网络科技有限公司 | Data processing method and apparatus for user profile, device, medium, and program |
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