CN114490130A

CN114490130A - Message subscription method and device, electronic equipment and storage medium

Info

Publication number: CN114490130A
Application number: CN202210103638.2A
Authority: CN
Inventors: 戚梦婷; 王超; 张曦; 张小彪; 陈丽丽
Original assignee: China Construction Bank Corp
Current assignee: China Construction Bank Corp
Priority date: 2022-01-27
Filing date: 2022-01-27
Publication date: 2022-05-13

Abstract

The disclosure provides a message subscription method, which can be applied to the technical field of network communication. The method comprises the following steps: according to a first aspect of the present disclosure, there is provided a message subscription method, including: acquiring first basic data, first service data and first subscription configuration parameter data of a user; determining a first target type user and first target service data concerned by the first target type user according to first basic data, first service data and first subscription configuration parameter data of the user; inputting a first target type user and first target service data into a target machine learning model, and outputting a first message to be subscribed aiming at the first target type user; and sending a first message to be subscribed to a client associated with the first target type user. The present disclosure also provides a message apparatus, a device, a storage medium and a program product.

Description

Message subscription method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of network communication technologies, and in particular, to a message subscription method, apparatus, device, storage medium, and program product.

Background

At present, the business report of each financial institution and the staff of each network point manually process and process the report to obtain the data index of the corresponding business operation through the business report of each system, or actively inquire or download the data index of the existing business analysis operation through the existing business monitoring system, and finally obtain the operation data concerned by each business department or each network point staff through manual offline analysis and comparison. However, data is manually processed and processed under a manual line, reports of a plurality of systems need to be associated for data acquisition, working efficiency is low, data timeliness is poor, personalized requirements for branches and network points are difficult to meet, and the function of actively pushing concerned messages to workers at various departments cannot be achieved.

Disclosure of Invention

In view of the foregoing, the present disclosure provides a message subscription method, apparatus, device, storage medium, and program product.

According to a first aspect of the present disclosure, there is provided a message subscription method, including: acquiring first basic data, first service data and first subscription configuration parameter data of a user; determining a first target type user and first target service data concerned by the first target type user according to first basic data, first service data and first subscription configuration parameter data of the user; inputting a first target type user and first target service data into a target machine learning model, and outputting a first message to be subscribed aiming at the first target type user; and sending a first message to be subscribed to a client associated with the first target type user.

According to the embodiment of the present disclosure, determining a first target type user and first target service data concerned by the first target type user according to first basic data, the first service data and first subscription configuration parameter data of the user includes: performing data mining analysis on first basic data, first service data and first subscription configuration parameter data of a plurality of users; classifying a plurality of users according to the data mining analysis result to obtain different types of users and service data concerned by the different types of users; and determining a first target type user and first target service data concerned by the first target type user according to different types of users and service data concerned by different types of users.

According to an embodiment of the present disclosure, sending a first message to be subscribed to a client associated with a first target type user includes: and calling a subscription message reach interface, and sending a first message to be subscribed to a client associated with the first target type user.

According to the embodiment of the present disclosure, acquiring the first basic data and the first service data of the user includes: setting data embedding points in the process of establishing a service so as to collect data of the embedding points of a user; performing data structure conversion on the buried point data to obtain structured data; and storing the structured data in a database to acquire first basic data and first service data of the user.

According to the embodiment of the present disclosure, acquiring the first subscription configuration parameter data of the user includes: and responding to the subscription configuration parameter request of the user, and performing self-defined setting on the subscription configuration parameter of the user to acquire first subscription configuration parameter data of the user.

According to an embodiment of the present disclosure, the method further includes: acquiring second basic data and second service data of a user; inputting second basic data and second service data of the user into a message subscription model, and determining a second target type user and second target service data concerned by the second target type user; setting subscription configuration parameters for the second target service data to obtain a second message to be subscribed for a second target type user; and sending the second message to be subscribed to the client associated with the second target type user.

According to an embodiment of the present disclosure, wherein the first base data and the second base data each include user portrait data and user behavior data; the first service data and the second service data both comprise service flow real-time data and service flow non-real-time data.

According to an embodiment of the present disclosure, the method further includes: and acquiring the first basic data and the second basic data of the user in response to an authorization operation for authorizing the acquisition of the first basic data and the second basic data of the user.

A second aspect of the present disclosure provides a message subscription apparatus, including: the first acquisition module is used for acquiring first basic data, first service data and first subscription configuration parameter data of a user; the first determining module is used for determining a first target type user and first target service data concerned by the first target type user according to first basic data, first service data and first subscription configuration parameter data of the user; the output module is used for inputting the first target type user and the first target service data into the target machine learning model and outputting a first message to be subscribed aiming at the first target type user; the first sending module is used for sending a first message to be subscribed to a client side associated with a first target type user.

A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the message subscription method described above.

A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-mentioned message subscription method.

A fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above-described message subscription method.

According to the embodiment of the disclosure, first basic data, first service data and first subscription configuration parameter data of a user are obtained; determining a first target type user and first target service data concerned by the first target type user according to first basic data, first service data and first subscription configuration parameter data of the user; inputting a first target type user and first target service data into a target machine learning model, and outputting a first message to be subscribed aiming at the first target type user; and sending a first message to be subscribed to a client associated with the first target type user. The technical problems that financial institution business analysis data are difficult to obtain, low in timeliness and incapable of meeting individual requirements of financial institutions are solved, business messages concerned by staff of each financial institution are extracted based on machine learning, and are actively pushed to the staff in a message subscription mode, decision data support is provided for the financial institutions, flexible, accurate and efficient pushing of business data is achieved, work efficiency is improved, and labor cost is reduced.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:

fig. 1 schematically illustrates an application scenario diagram of a message subscription method and apparatus according to an embodiment of the present disclosure;

FIG. 2 schematically illustrates a flow diagram of a message subscription method according to an embodiment of the disclosure;

FIG. 3 schematically illustrates a flow diagram of a message subscription method according to another embodiment of the present disclosure;

FIG. 4 schematically shows a schematic diagram of a message subscription method according to an embodiment of the present disclosure;

fig. 5 schematically shows a block diagram of a structure of a message subscription apparatus according to an embodiment of the present disclosure; and

fig. 6 schematically shows a block diagram of an electronic device adapted to implement a message subscription method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

In the technical scheme of the present disclosure, the processes of collecting, storing, using, processing, transmitting, providing, disclosing and applying the personal information of the related users all conform to the regulations of related laws and regulations, and necessary security measures are taken without violating the good customs of the public order.

An embodiment of the present disclosure provides a message subscription method, including: acquiring first basic data, first service data and first subscription configuration parameter data of a user; determining a first target type user and first target service data concerned by the first target type user according to first basic data, first service data and first subscription configuration parameter data of the user; inputting a first target type user and first target service data into a target machine learning model, and outputting a first message to be subscribed aiming at the first target type user; and sending a first message to be subscribed to a client associated with the first target type user.

It should be noted that in the technical solution of the present disclosure, before acquiring or collecting the personal information of the user, the authorization or the consent of the user is obtained.

Fig. 1 schematically illustrates an application scenario diagram of a message subscription method and apparatus according to an embodiment of the present disclosure.

As shown in fig. 1, the application scenario 100 according to this embodiment may include

terminal devices

101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the

terminal devices

101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that the message subscription method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the message subscribing device provided by the embodiment of the present disclosure can be generally disposed in the server 105. The message subscription method provided by the embodiment of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Correspondingly, the message subscription device provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

The message subscription method of the disclosed embodiment will be described in detail below with fig. 2 to 4 based on the scenario described in fig. 1.

Fig. 2 schematically shows a flow chart of a message subscription method according to an embodiment of the present disclosure.

As shown in fig. 2, the message subscription method of this embodiment includes operations S210 to S240.

In operation S210, first basic data, first service data, and first subscription configuration parameter data of a user are obtained.

According to an embodiment of the present disclosure, the first base data may include user portrait data and user behavior data. The user representation data may include: the user's name, age, institution, hours of work, occupation, post, level, etc.; the user behavior data may include: browsing records, click records, business items, business processes, business approvals, time periods during which actions occur, durations during which actions occur, and the like. The first basic data can be used for describing the behavior rule condition of the attention or interest points of the user.

According to an embodiment of the present disclosure, the first business data may include business process real-time data and business process non-real-time data. The business process real-time data can be the total real-time business handling data acquired when relevant businesses are handled; the business process non-real-time data may be characterized as a full amount of non-real-time business transaction data in the financial institution, which is stored in a business data repository.

According to an embodiment of the present disclosure, the business data may include business data related to operation management, business data related to recommendation management, business data related to business management, and the like.

According to an embodiment of the present disclosure, the subscription configuration parameter data may include a business topic, process operation index data, an organization name, and the like, which are concerned by each financial institution staff.

According to the embodiment of the disclosure, the first basic data and the first business data of the user can be acquired from the systems of the public cloud, the private cloud and the like and the external channel of the third party. The public cloud generally refers to a cloud which is provided by a third-party provider for a user to use, can be generally used through the internet, and has a core attribute of shared resource service. Private clouds are built for individual use by one user and thus can 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.

In operation S220, a first target type user and first target service data concerned by the first target type user are determined according to the first basic data, the first service data and the first subscription configuration parameter data of the user.

According to an embodiment of the present disclosure, the target type user may include a service handling user, for example, a staff of each branch or each branch point of a financial institution, a service operation management user, a service recommendation management user, and the like; the first target service data of interest to the first target type user may include: the business transaction data related to the first target type user, for example, the business data concerned by the operation management user may be the quality, efficiency, customer experience, and the like of the business transaction.

In operation S230, the first target type user and the first target business data are input into the target machine learning model, and a first message to be subscribed for the first target type user is output.

According to the embodiment of the disclosure, the target machine learning model can be obtained by training the machine learning model through mass user data. The target machine learning model may be a deep learning model.

According to an embodiment of the present disclosure, the first message to be subscribed may be a message of interest to the first target type user. For example, the business department manager pays attention to the cost and profit analysis, and through the prediction of the target machine learning model, a subscription message for the cost and profit analysis result paid attention to by the business department manager is output.

In operation S240, a first message to be subscribed is sent to a client associated with a first target type user.

According to the embodiment of the disclosure, the first message to be subscribed can be sent to the client associated with the first target type user in the modes of short message reminding, e-mail, internal communication and the like through the converged communication and/or short message gateway.

According to the embodiment of the disclosure, the account information of the client associated with the first target type user is associated with the identification information representing the unique identity in the user portrait information of the first target type user, and the client associated with the first target type user receives a result of a first message to be subscribed for the first target type user.

According to the embodiment of the disclosure, acquiring first basic data and first service data of a user comprises: setting data embedding points in the process of establishing a service so as to collect data of the embedding points of a user; performing data structure conversion on the buried point data to obtain structured data; and storing the structured data in a database to acquire first basic data and first service data of the user.

According to the embodiment of the disclosure, a data embedding point and a mechanism for quickly using data at a back end can be set in the process of establishing a service, and a unified data embedding point front-end technical framework is provided to adapt to multi-end application.

According to the embodiment of the disclosure, specifically, data embedding points are set in an application program, a webcam, an applet and the like, embedding point data is collected and stored in a kafka message queue, data structure conversion is performed on the embedding point data in kafka to obtain structured data, and the structured data is stored in a database to obtain first basic data and first service data of a user.

More specifically, according to an embodiment of the present disclosure, acquiring the first basic data may include: acquiring first basic data of a user from external ecological services and the front end of an internal channel in real time, quasi-real time and in batches through a data acquisition general technical framework; unifying the collected first basic data to a data standard, integrating and accessing user portrait data and user behavior data contained in the first basic data, and counting behavior analysis indexes; and deploying the user behavior labels according to the user behavior analysis indexes, and issuing the user behavior labels through a unified data service, so as to obtain the first basic data of the user.

More specifically, according to an embodiment of the present disclosure, acquiring first service data of a user, and in particular, acquiring real-time data of a service process may include: each business product component transmits the kafka detail message and the transaction information to a monitoring management server through a monitoring client to perform real-time data acquisition; and converting the kafka detailed message information into a structured data stream through a real-time data area, collecting and integrating and calculating the data stream of the subscription data through an intelligent operation data calculation module, and issuing a data sharing service, thereby obtaining the real-time data of the business process. The non-real-time data of the business process can be obtained by forming business handling result data into a business report and storing the business report in a data warehouse.

According to the embodiment of the disclosure, acquiring first subscription configuration parameter data of a user comprises: and responding to the subscription configuration parameter request of the user, and performing self-defined setting on the subscription configuration parameter of the user to acquire first subscription configuration parameter data of the user.

According to the embodiment of the disclosure, the requirements of the subscription configuration parameters for each user are different, and the user-defined setting of the subscription configuration parameters can be performed according to the requirements of each user, so that the acquisition of the first subscription configuration parameter data is realized.

According to the embodiment of the present disclosure, determining a first target type user and first target service data concerned by the first target type user according to first basic data, first service data and first subscription configuration parameter data of the user includes: performing data mining analysis on first basic data, first service data and first subscription configuration parameter data of a plurality of users; classifying a plurality of users according to the data mining analysis result to obtain different types of users and service data concerned by the different types of users; and determining a first target type user and first target service data concerned by the first target type user according to different types of users and service data concerned by different types of users.

According to an embodiment of the present disclosure, the data mining analysis may be a technique of finding its regularity from a large amount of user data by analyzing each data. The method mainly comprises the steps of data preparation, rule searching, rule representation and the like.

According to an embodiment of the present disclosure, a data mining analysis method may include: cluster analysis, classification analysis, anomaly analysis, association analysis, and the like.

According to the embodiment of the disclosure, for example, the first basic data, the first service data and the first subscription configuration parameter data of the plurality of users may be subjected to data mining analysis by adopting a clustering method. And data mining analysis can be performed according to the similarity by calculating the similarity of the first basic data, the first service data and the first subscription configuration parameter data of the plurality of users, so that a data mining analysis result is obtained. And according to the data mining analysis result, a plurality of users of the first basic data, the first service data and the first subscription configuration parameter data with close similarity are regarded as users of the same type, so that different types of users and service data concerned by the different types of users are obtained.

According to the embodiment of the disclosure, according to the target subscription message, the type user matched with the target subscription message is determined as the first target type user from the service data concerned by the different types of users and the different types of users, and then the service data associated with the first target type user is used as the first target service data.

According to the embodiment of the disclosure, after the first basic data, the first service data and the first subscription configuration parameter data of the user are subjected to data mining analysis, the service data concerned by different types of users and different types of users can be analyzed, and according to the data mining analysis result and the target subscription message, the users in the same type can be screened out to send the message subscription, so that the subscription message concerned by the user can be actively pushed by the user client.

Fig. 3 schematically shows a flow chart of a message subscription method according to another embodiment of the present disclosure.

As shown in fig. 3, the method further includes operations S310 to S340.

In operation S310, second basic data and second service data of the user are acquired.

In operation S320, the second basic data and the second service data of the user are input into the message subscription model, and the second target type user and the second target service data concerned by the second target type user are determined.

In operation S330, subscription configuration parameter setting is performed on the second target service data, so as to obtain a second message to be subscribed for a second target type user.

In operation S340, a second message to be subscribed is sent to the client associated with the second target type user.

According to an embodiment of the present disclosure, the second base data may include user portrait data and user behavior data; the second business data may include business process real-time data and business process non-real-time data. The second basic data and the first basic data contain the same data; the data included in the second service data and the first service data are also the same, and are not described herein again.

According to the embodiment of the present disclosure, the second basic data and the second service data are obtained in the same manner as the first basic data and the first service data, and may be obtained by setting a data embedding point.

According to the embodiment of the disclosure, the message subscription model can support a user to extract key index data from the data index warehouse in a self-defined setting mode, and push the self-defined subscription message by setting parameters such as a threshold, a push object, push content and a push object.

According to the embodiment of the disclosure, the data index warehouse may be configured to store the data index formed after the obtained second basic data and the second service data are subjected to data processing.

According to the embodiment of the present disclosure, the data types of the second target service data concerned by the second target type user and the second target type user are the same as the data types of the first target type user and the first target service data, and are not described herein again.

According to the embodiment of the disclosure, second target service data concerned by a second target type user and the second target type user is determined, subscription configuration parameter setting is performed on the second target service data, for example, service operation management data is selected, a push object and a push channel are selected, a subscription message result display is set, and the like, so that a second message to be subscribed for the second target type user is obtained, and a push client associated with the second target type user is sent a second subscription message according to the set push object and push user.

According to the embodiment of the disclosure, the service data is flexibly, accurately and efficiently sent by collecting the real-time data based on the service data and combining with the service personalized configuration, and the working efficiency is improved.

According to an embodiment of the present disclosure, before obtaining the first basic data and the second basic data of the user, the method further includes: and acquiring the first basic data and the second basic data of the user in response to an authorization operation for authorizing the acquisition of the first basic data and the second basic data of the user.

According to the embodiment of the present disclosure, before the first basic data and the second basic data of the user are acquired, the consent or the authorization of the user may be obtained. For example, a request for acquiring the first basic data and the second basic data of the user may be issued to the user before operation S210 or operation S310. In case that the first basic data and the second basic data of the user can be acquired with the user' S consent or authority, operation S210 or operation S310 is performed.

Fig. 4 schematically shows a schematic diagram of a message subscription method according to an embodiment of the present disclosure.

As shown in fig. 4, first basic data 401, first service data 402 and first subscription configuration parameter data 403 of a user are obtained, where the first basic data 401 may include user portrait data 401-1 and user behavior data 401-2, and the first service data 402 may include service flow real-time data 402-1 and service flow non-real-time data 402-2. According to the first basic data 401, the first service data 402 and the first subscription configuration parameter data 403, the first target type user 404 and the first target service data 405 concerned by the first target type user are determined. Inputting the first target type user 404 and the first target business data 405 concerned by the first target type user into the target machine learning model, and outputting a first message to be subscribed 406 aiming at the first target type user 404. A first message to be subscribed 406 is sent to a client 407 associated with a first target type user.

Based on the message subscription method, the disclosure also provides a message subscription device. The apparatus will be described in detail below with reference to fig. 5.

Fig. 5 schematically shows a block diagram of a message subscription apparatus according to an embodiment of the present disclosure.

As shown in fig. 5, the message subscribing apparatus 500 of this embodiment includes a first obtaining module 510, a first determining module 520, an outputting module 530, and a first sending module 540.

The first obtaining module 510 is configured to obtain first basic data, first service data, and first subscription configuration parameter data of a user. In an embodiment, the first obtaining module 510 may be configured to perform the operation S210 described above, which is not described herein again.

The first determining module 520 is configured to determine a first target type user and first target service data concerned by the first target type user according to the first basic data, the first service data, and the first subscription configuration parameter data of the user. In an embodiment, the first determining module 520 may be configured to perform the operation S220 described above, which is not described herein again.

An output module 530, configured to input the first target type user and the first target business data into the target machine learning model, and output a first message to be subscribed for the first target type user. In an embodiment, the output module 530 may be configured to perform the operation S230 described above, which is not described herein again.

A first sending module 540, configured to send the first message to be subscribed to the client associated with the first target type user. In an embodiment, the first sending module 540 may be configured to perform the operation S240 described above, and is not described herein again.

According to an embodiment of the present disclosure, the first determining module 520 may include: an analysis submodule, a classification submodule and a determination submodule.

And the analysis submodule is used for carrying out data mining analysis on the first basic data, the first service data and the first subscription configuration parameter data of the plurality of users.

And the classification submodule is used for classifying the plurality of users according to the data mining analysis result to obtain different types of users and service data concerned by the different types of users.

And the determining submodule is used for determining the first target type user and the first target service data concerned by the first target type user according to the different types of users and the service data concerned by the different types of users.

According to an embodiment of the present disclosure, the first transmitting module 540 may include: the submodule is invoked.

And the calling submodule is used for calling the subscription message touch interface and sending the first message to be subscribed to the client associated with the first target type user.

According to an embodiment of the present disclosure, the first obtaining module 510 may include: setting submodule, converting submodule and storing submodule.

And the setting submodule is used for setting data embedding points in the service establishing process so as to collect the data embedding points of the users.

And the conversion sub-module is used for carrying out data structure conversion on the buried point data to obtain structured data.

And the storage submodule is used for storing the structured data in a database so as to acquire first basic data and first service data of the user.

According to an embodiment of the present disclosure, the first obtaining module 510 may further include: and a response submodule.

And the response submodule is used for responding to the subscription configuration parameter request of the user and carrying out self-defining setting on the subscription configuration parameter of the user so as to obtain first subscription configuration parameter data of the user.

According to an embodiment of the present disclosure, the message subscription apparatus 500 may further include: the device comprises a second acquisition module, a second determination module, an acquisition module and a second sending module.

And the second acquisition module is used for acquiring second basic data and second service data of the user.

And the second determining module is used for inputting the second basic data and the second service data of the user into the message subscription model and determining the second target type user and the second target service data concerned by the second target type user.

And the obtaining module is used for carrying out subscription configuration parameter setting on the second target service data to obtain a second message to be subscribed aiming at the second target type user.

And the second sending module is used for sending a second message to be subscribed to the client associated with the second target type user.

According to an embodiment of the present disclosure, the first base data and the second base data each include user portrait data and user behavior data; the first service data and the second service data both comprise service flow real-time data and service flow non-real-time data.

According to an embodiment of the present disclosure, the message subscribing device 500 may further include: and a response module.

The response module is used for responding to an authorization operation for authorizing the first basic data and the second basic data used for obtaining the user, and obtaining the first basic data and the second basic data of the user.

According to the embodiment of the present disclosure, any plurality of the first obtaining module 510, the first determining module 520, the outputting module 530, and the first sending module 540 may be combined and implemented in one module, or any one of them may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first obtaining module 510, the first determining module 520, the outputting module 530 and the first sending module 540 may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware and firmware, or implemented by a suitable combination of any of them. Alternatively, at least one of the first obtaining module 510, the first determining module 520, the outputting module 530 and the first sending module 540 may be at least partly implemented as a computer program module, which when executed, may perform a corresponding function.

As shown in fig. 6, an electronic device 600 according to an embodiment of the present disclosure includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. Processor 601 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 601 may also include onboard memory for caching purposes. Processor 601 may include a single processing unit or multiple processing units for performing different actions of a method flow according to embodiments of the disclosure.

In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. The processor 601 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 602 and/or RAM 603. It is to be noted that the program may also be stored in one or more memories other than the ROM 602 and the RAM 603. The processor 601 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in one or more memories.

Electronic device 600 may also include input/output (I/O) interface 605, input/output (I/O) interface 605 also connected to bus 604, according to an embodiment of the disclosure. The electronic device 600 may also include one or more of the following components connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.

The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: 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), 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 present disclosure, 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. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 602 and/or RAM 603 described above and/or one or more memories other than the ROM 602 and RAM 603.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method illustrated in the flow chart. When the computer program product runs in a computer system, the program code is used for causing the computer system to realize the message subscription method provided by the embodiment of the disclosure.

The computer program performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure when executed by the processor 601. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, and the like. In another embodiment, the computer program may also be transmitted, distributed in the form of a signal on a network medium, downloaded and installed through the communication section 609, and/or installed from the removable medium 611. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program, when executed by the processor 601, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the disclosure, and these alternatives and modifications are intended to fall within the scope of the disclosure.

Claims

1. A message subscription method, comprising:

acquiring first basic data, first service data and first subscription configuration parameter data of a user;

determining a first target type user and first target service data concerned by the first target type user according to the first basic data, the first service data and the first subscription configuration parameter data of the user;

inputting the first target type user and the first target business data into a target machine learning model, and outputting a first message to be subscribed aiming at the first target type user;

and sending the first message to be subscribed to a client associated with the first target type user.

2. The method of claim 1, wherein determining a first target type of user and first target service data that the first target type of user is interested in according to the first basic data, the first service data and the first subscription configuration parameter data of the user comprises:

performing data mining analysis on first basic data, first service data and first subscription configuration parameter data of a plurality of users;

classifying the plurality of users according to data mining analysis results to obtain different types of users and service data concerned by the different types of users;

and determining a first target type user and first target service data concerned by the first target type user according to the different types of users and the service data concerned by the different types of users.

3. The method of claim 1, wherein sending the first message to be subscribed to a client associated with the first target type of user comprises:

and calling a subscription message reach interface, and sending the first message to be subscribed to the client associated with the first target type user.

4. The method of claim 1, wherein obtaining the first basic data and the first service data of the user comprises:

setting data embedding points in the process of establishing a service so as to collect the data embedding points of the user;

carrying out data structure conversion on the buried point data to obtain structured data;

and storing the structured data in a database to acquire first basic data and first service data of the user.

5. The method of claim 1, wherein the obtaining first subscription configuration parameter data of a user comprises:

responding to the subscription configuration parameter request of the user, and performing self-defined setting on the subscription configuration parameter of the user to acquire first subscription configuration parameter data of the user.

6. The method of claim 1, further comprising:

acquiring second basic data and second service data of the user;

inputting second basic data and second service data of the user into a message subscription model, and determining a second target type user and second target service data concerned by the second target type user;

setting subscription configuration parameters for the second target service data to obtain a second message to be subscribed for the second target type user;

and sending the second message to be subscribed to a client associated with the second target type user.

7. The method of claim 6, wherein the first base data and the second base data each include user portrait data and user behavioral data; the first service data and the second service data both comprise service flow real-time data and service flow non-real-time data.

8. The method of claim 6, further comprising:

the first basic data and the second basic data of the user are acquired in response to an authorization operation for authorizing the acquisition of the first basic data and the second basic data of the user.

9. A message subscription apparatus, comprising:

the first acquisition module is used for acquiring first basic data, first service data and first subscription configuration parameter data of a user;

the first determining module is used for determining a first target type user and first target service data concerned by the first target type user according to first basic data, first service data and first subscription configuration parameter data of the user;

the output module is used for inputting the first target type user and the first target business data into a target machine learning model and outputting a first message to be subscribed aiming at the first target type user;

a first sending module, configured to send the first message to be subscribed to a client associated with the first target type user.

10. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-8.

11. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 8.

12. A computer program product comprising a computer program which, when executed by a processor, carries out the method according to any one of claims 1 to 8.