CN116361513A

CN116361513A - Behavior data processing method, behavior data processing device, computer equipment and storage medium

Info

Publication number: CN116361513A
Application number: CN202211553298.XA
Authority: CN
Inventors: 薛君云; 李启圣; 龙志娟; 钟明; 张鹏; 梁毅
Original assignee: Merchants Union Consumer Finance Co Ltd
Current assignee: Merchants Union Consumer Finance Co Ltd
Priority date: 2022-12-06
Filing date: 2022-12-06
Publication date: 2023-06-30

Abstract

The present application relates to a behavioural data processing method, apparatus, computer device, storage medium and computer program product. The method comprises the following steps: acquiring target behavior data of a target object, a target service type corresponding to the target behavior data and behavior start time corresponding to the target behavior data; determining an initial business event based on a business event set to be written of a target object and a target business type; when the target behavior data is the starting behavior data, determining an event state corresponding to the initial business event based on the event starting time and the behavior starting time corresponding to the initial business event, and adjusting the initial business event based on the event state and the target behavior data to obtain a target business event of the target object; and when the target behavior data is non-starting behavior data, obtaining a target business event of the target object based on the target behavior data and the initial business event, wherein the target business event is used for adjusting the business flow. By adopting the method, the behavior data processing efficiency can be improved.

Description

Behavior data processing method, behavior data processing device, computer equipment and storage medium

Technical Field

The present application relates to the field of computer technology, and in particular, to a behavior data processing method, apparatus, computer device, storage medium, and computer program product.

Background

With the development of internet technology, online services provided by enterprises to users are more and more, functions are more and more abundant, and the enterprises need to analyze and process massive user behavior data so as to optimize service flows.

In the traditional technology, enterprise personnel directly analyze and process a large amount of behavior data, but the behavior data is too scattered due to various business types, complex flow, various interaction links and the like, so that the problem of lower processing efficiency exists in the process of directly analyzing and processing the behavior data.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a behavioural data processing method, apparatus, computer device, computer readable storage medium and computer program product that can improve the behavioural data processing efficiency.

The application provides a behavior data processing method. The method comprises the following steps:

acquiring target behavior data of a target object, a target service type corresponding to the target behavior data and behavior start time corresponding to the target behavior data;

Determining an initial business event based on a business event set to be written of a target object and a target business type;

when the target behavior data is the starting behavior data, determining an event state corresponding to the initial business event based on a time relation between the event starting time corresponding to the initial business event and the behavior starting time, and adjusting the initial business event based on the event state and the target behavior data to obtain a target business event of the target object;

and when the target behavior data is non-starting behavior data, obtaining a target business event of the target object based on the target behavior data and the initial business event, wherein the target business event is used for adjusting the business flow.

The application also provides a behavior data processing device. The device comprises:

the behavior data acquisition module is used for acquiring target behavior data of a target object, a target service type corresponding to the target behavior data and behavior start time corresponding to the target behavior data;

the initial business event determining module is used for determining an initial business event based on a business event set to be written of the target object and the target business type;

the target business event module is used for determining an event state corresponding to the initial business event based on the time relation between the event start time corresponding to the initial business event and the behavior start time when the target behavior data is the start behavior data, and adjusting the initial business event based on the event state and the target behavior data to obtain a target business event of the target object;

And the target business event module is also used for obtaining a target business event of the target object based on the target behavior data and the initial business event when the target behavior data is non-starting behavior data, wherein the target business event is used for adjusting the business flow.

A computer device comprising a memory storing a computer program and a processor implementing the steps of the behavioural data processing method described above when the computer program is executed by the processor.

A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the behavioural data processing method described above.

A computer program product comprising a computer program which, when executed by a processor, implements the steps of the behavioural data processing method described above.

The behavior data processing method, the behavior data processing device, the computer equipment, the storage medium and the computer program product determine the initial business event corresponding to the target behavior data in the business event set to be written in the target object based on the target business type corresponding to the target behavior data of the target object. Therefore, each behavior data can be corresponding to different types of business events, and a large amount of scattered behavior data corresponding to the target object is combined into each different business event, so that each behavior data belonging to the same business type can be rapidly determined when a large amount of behavior data corresponding to the target object is analyzed, and the efficiency of behavior data analysis processing can be improved in a complex business process. When the target behavior data is the starting behavior data, based on the behavior starting time corresponding to the target behavior data and the event starting time corresponding to the initial business event, the initial business event corresponding to the target behavior data is adjusted to obtain the target business event. Therefore, a clear time relationship exists between each initial business event corresponding to the target object, and the business event corresponding to the target behavior data is more accurate. When the target behavior data is non-starting behavior data, the target business event corresponding to the target object is determined based on the target behavior data and the corresponding initial business event, so that a large amount of scattered behavior data corresponding to the target object can be combined into each business event, and the efficiency of processing the behavior data can be improved.

Drawings

FIG. 1 is a diagram of an application environment for a data processing method, in one embodiment;

FIG. 2 is a flow diagram of a method of data processing in one embodiment;

FIG. 3 is a flow diagram of determining a target business event in one embodiment;

FIG. 4 is a schematic diagram of processing behavioral data in one embodiment;

FIG. 5 is a block diagram of an embodiment of a data processing apparatus;

FIG. 6 is a block diagram of another embodiment of a data processing apparatus;

FIG. 7 is an internal block diagram of a computer device in one embodiment;

fig. 8 is an internal structural diagram of a computer device in one embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

The behavior data processing method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, which may be smart televisions, smart car devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers. The terminal 102 and the server 104 may be directly or indirectly connected through wired or wireless communication, which is not limited herein.

The terminal and the server can be used independently for executing the behavior data processing method provided in the embodiment of the application.

For example, the terminal acquires target behavior data of the target object, a target service type corresponding to the target behavior data, and a behavior start time corresponding to the target behavior data. The terminal determines an initial business event based on the business event set to be written of the target object and the target business type. When the target behavior data is the starting behavior data, the terminal determines an event state corresponding to the initial business event based on a time relation between the event starting time corresponding to the initial business event and the behavior starting time, and adjusts the initial business event based on the event state and the target behavior data to obtain a target business event of the target object. And when the target behavior data is non-starting behavior data, the terminal obtains a target business event of the target object based on the target behavior data and the initial business event. The target business event is used to adjust the business process.

The terminal and the server may also cooperate to perform the behavioral data processing methods provided in the embodiments of the present application.

For example, the server acquires target behavior data of the target object, a target service type corresponding to the target behavior data, and a behavior start time corresponding to the target behavior data from the terminal. The server determines an initial business event based on the set of business events to be written of the target object and the target business type. When the target behavior data is the starting behavior data, the server determines an event state corresponding to the initial business event based on a time relation between the event starting time corresponding to the initial business event and the behavior starting time, and adjusts the initial business event based on the event state and the target behavior data to obtain a target business event of the target object. And when the target behavior data is non-starting behavior data, the server obtains a target business event of the target object based on the target behavior data and the initial business event. The target business event is used to adjust the business process. The server sends the target business event to the terminal, and the terminal can analyze and adjust the business flow based on the target business event.

In one embodiment, as shown in fig. 2, a behavior data processing method is provided, and the method is applied to a computer device, which is a terminal or a server, and is executed by the terminal or the server, or may be implemented through interaction between the terminal and the server. The behavior data processing method comprises the following steps:

step S202, obtaining target behavior data of a target object, a target service type corresponding to the target behavior data and a behavior start time corresponding to the target behavior data.

The target object refers to an object needing to perform behavior data processing, and is typically a user using a target application, and the target object may be any user using the target application.

The target application refers to an application program used by the target object, and for example, the target application may be a banking application program, an educational application program, a game application program, or the like. The target application may be any application program.

The target behavior data refers to behavior data generated when the target object interacts with the target application, for example, when the target object logs in by using the target application, operation behaviors such as opening a login page, inputting an account, inputting a password, clicking and logging in are required to be performed, and each operation behavior generates corresponding behavior data respectively. The target behavior data may reflect detailed data information corresponding to the operation behavior of the target object, for example, may reflect information such as time, duration, result of operation, corresponding service type, operation type, and the like of occurrence of the operation behavior. The target behavior data are used for analyzing the condition when the target object interacts with the target application, and further optimizing the business process of the target application. The target behavior data may be any behavior data generated during the use of the target application by the target object.

The service type refers to a type of a function in a target application, which contains a plurality of functions, that is, contains a plurality of service types. For example, when the target application is a lending application, the target application includes service types such as user registration, user login, binding bank card, borrowing, repayment, and the like; when the target application is an education application program, the target application comprises service types such as user registration, user login, video uploading, reservation and lesson; etc.

The target service type refers to the service type corresponding to the target behavior data.

The behavior start time refers to a generation time of an operation behavior corresponding to the behavior data, for example, when the operation behavior corresponding to the behavior data is an input account, the behavior start time refers to a time when the target object inputs the account; when the operation behavior corresponding to the behavior data is the behavior data corresponding to the click login, the behavior starting time refers to the time of the click login of the target object; etc.

The computer device obtains target behavior data corresponding to the target object from a local device or other devices, and determines a target service type and a behavior start time corresponding to the target behavior data based on behavior data information in the target behavior data. And determining an initial business event corresponding to the target behavior data in a business event set to be written in the target object based on the target business type corresponding to the target behavior data of the target object. And adjusting the initial business event corresponding to the target behavior data based on the behavior start time and the target behavior data corresponding to the target behavior data of the target object to obtain the target business event corresponding to the target object.

Step S204, based on the business event set to be written of the target object and the target business type, an initial business event is determined.

The business event refers to an event generated based on each behavior data generated by the target object when a single function of the target application is used, each behavior data is contained in the business event, and each behavior data belongs to the same business type. For example, when the target object uses the login function to log in, the corresponding target service type is user login, the generated behavior data includes behavior data corresponding to operation behaviors such as opening a login page, inputting an account, inputting a password, clicking to log in, and at this time, the service event corresponding to the target object obtained through behavior data processing is an event generated based on the behavior data corresponding to the operation behaviors such as opening the login page, inputting the account, inputting the password, clicking to log in.

The business event to be written refers to a business event generated based on the respective behavior data that has been received before the target object has not finished using the function of the target application in the process of using the single function of the target application by the target object. The target object does not finish the use of the function, and the service event to be written later can also write other behavior data corresponding to the function. For example, when the target object uses the borrowing function to borrow, when the target object opens a borrowing page, the generated business event is a business event to be written based on the received behavior data corresponding to the opened borrowing page, and when the target object inputs a borrowing amount next, the business event is generated as the business event to be written based on the behavior data corresponding to the opened borrowing page and the behavior data corresponding to the input borrowing amount; etc.

The business event set to be written refers to a set comprising all business events to be written corresponding to the target object.

The initial business event refers to a business event to be written corresponding to the target behavior data, and the initial business event and the target behavior data belong to the same business type.

The computer device obtains a set of business events to be written corresponding to the target object, and determines an initial business event corresponding to the target behavior data based on the target business type corresponding to the target behavior data and the set of business events to be written.

Step S206, when the target behavior data is the start behavior data, determining an event state corresponding to the initial business event based on the time relationship between the event start time and the behavior start time corresponding to the initial business event, and adjusting the initial business event based on the event state and the target behavior data to obtain the target business event of the target object.

The starting behavior data refers to behavior data corresponding to a first operation behavior when the target object uses a single function of the target application. For example, when the target object uses the login function in the target application to perform the user, the first operation behavior is to open the login page, and the behavior data corresponding to the login page is opened as the start behavior data; when a target object uses a video uploading function in a target application, the first operation behavior is to click a video uploading option, and behavior data corresponding to the video uploading option is starting behavior data; etc.

The event start time refers to a minimum value in the behavior start time corresponding to each behavior data of the service event, that is, a behavior start time corresponding to the behavior data with the earliest start time in the service event, for example, when each behavior data corresponding to the service event is behavior data generated by opening a borrowing page and inputting a borrowing amount, and the behavior start time corresponding to the opening of the borrowing page is earlier than the behavior start time corresponding to the inputting of the borrowing amount, the event start time corresponding to the service event is the behavior start time corresponding to the opening of the borrowing page; when each behavior data corresponding to the service event is behavior data respectively generated by opening a login page, inputting an account, inputting a password and clicking login, and the behavior starting time corresponding to the opening login page is earlier than the behavior starting time corresponding to other behavior data respectively, the event starting time corresponding to the service event is the behavior starting time corresponding to the opening login page; etc.

The event state refers to a state corresponding to an initial business event, and is used for determining how to adjust the initial business event.

The target business event refers to an event generated based on respective behavior data generated by the target object when using a function corresponding to the target behavior data.

The computer device determines an operation type of the target behavior data based on the behavior data information in the target behavior data, and obtains an event start time corresponding to the initial business event when the target behavior data is the start behavior data. And further comparing the behavior start time corresponding to the target behavior data with the event start time corresponding to the initial business event to obtain the time relation between the initial business event and the target behavior data, and determining the event state corresponding to the initial business event based on the time relation between the initial business event and the target behavior data. Based on the event state and the target behavior data corresponding to the initial business event, the initial business event is correspondingly adjusted to obtain a corresponding business event. After the initial business event is adjusted, continuously acquiring the behavior data of the target object, the business type corresponding to the behavior data and the behavior start time corresponding to the behavior data, and adjusting the corresponding initial business event based on each behavior data generated by the target object when the function corresponding to the target behavior data is used until the business event is ended, so as to obtain the target business event corresponding to the target object.

Step S208, when the target behavior data is non-start behavior data, a target business event of the target object is obtained based on the target behavior data and the initial business event, and the target business event is used for adjusting the business process.

The non-start behavior data refers to behavior data corresponding to each of other operation behaviors except for behavior data corresponding to a first operation behavior when the target object uses a single function of the target application.

The business process refers to the use process of the corresponding function of the target business event in the target application. For example, the function corresponding to the target business event is a user login function, and when the operation behaviors required to be performed by using the user login function include opening a login page, inputting an account number, clicking to confirm login and performing face recognition, the business process corresponding to the user login function is opening the login page, inputting the account number, clicking to confirm login and performing face recognition verification.

The computer device determines an operation type of the target behavior data based on the behavior data information in the target behavior data, and writes the target behavior data into the initial business event to obtain the corresponding business event when the target behavior data is non-start behavior data. The computer equipment continues to acquire the behavior data of the target object, the service type corresponding to the behavior data and the behavior start time corresponding to the behavior data, and adjusts the corresponding initial service event based on each behavior data generated by the target object when the function corresponding to the target behavior data is used until the service event is ended, so as to obtain the target service event corresponding to the target object. In one embodiment, after the computer device writes the target behavior data into the initial service event, based on the attribute configuration table corresponding to the target application, it is determined whether the target behavior data has corresponding attribute data, if so, the attribute data corresponding to the target behavior data is obtained and associated to the initial service event, and if not, the attribute data association operation is not required. The attribute configuration table records whether each behavior operation has corresponding attribute information. The attribute information refers to execution result information obtained after the target object executes the behavior operation.

For example, when each behavior operation corresponding to the user login function is respectively to open a login page, input an account, click confirm login and perform face recognition verification, it is determined that no corresponding attribute information exists for each of the behavior operation open login page, the input account and the click confirm login through an attribute configuration table corresponding to the target application, and face recognition verification is performed for the behavior operation, and the corresponding attribute information exists, where the attribute information is result information of the face recognition verification, and may include, for example, information such as a face matching degree and a verification result. After the behavior data corresponding to the face recognition authentication of the behavior operation is written into the business event, the corresponding attribute data is acquired, and the attribute data is associated to the business event.

In the behavior data processing method, the initial business event corresponding to the target behavior data in the business event set to be written of the target object is determined through the target business type corresponding to the target behavior data of the target object. Therefore, each behavior data can be corresponding to different types of business events, and a large amount of scattered behavior data corresponding to the target object is combined into each different business event, so that each behavior data belonging to the same business type can be rapidly determined when a large amount of behavior data corresponding to the target object is analyzed, and the efficiency of behavior data analysis processing can be improved in a complex business process. When the target behavior data is the starting behavior data, based on the behavior starting time corresponding to the target behavior data and the event starting time corresponding to the initial business event, the initial business event corresponding to the target behavior data is adjusted to obtain the target business event. Therefore, a clear time relationship exists between each initial business event corresponding to the target object, and the business event corresponding to the target behavior data is more accurate. When the target behavior data is non-starting behavior data, the target business event corresponding to the target object is determined based on the target behavior data and the corresponding initial business event, so that a large amount of scattered behavior data corresponding to the target object can be combined into each business event, and the efficiency of processing the behavior data can be improved.

In one embodiment, determining an initial business event based on a set of business events to be written for a target object and a target business type comprises:

when the business event to be written corresponding to the target business type exists in the business event set to be written, the business event to be written corresponding to the target business type is used as an initial business event; when the business event to be written corresponding to the target business type does not exist in the business event set to be written, an initial business event is created.

The computer device determines a to-be-written service event corresponding to the target service type in the to-be-written service event set based on the target service type corresponding to the target behavior data, and takes the to-be-written service event corresponding to the target service type as an initial service event when the to-be-written service event corresponding to the target service type exists in the to-be-written service event set. When the business event to be written corresponding to the target business type does not exist in the business event set to be written, an updating business event corresponding to the target business type is created, the updating business event is a newly built business event which does not contain behavior data, and the updating business event is taken as an initial business event corresponding to the target behavior data.

In the above embodiment, the to-be-written service event corresponding to the target behavior data is determined in the to-be-written service event set corresponding to the target object, if the to-be-written service event set has the corresponding to-be-written service event, the to-be-written service event is taken as the initial service event corresponding to the target behavior data, and if the to-be-written service event set does not have the corresponding to-be-written service event, the initial service event corresponding to the target behavior data is created. Each behavior data can be enabled to obtain a corresponding initial business event, and a large amount of scattered behavior data corresponding to the target object can be combined into different business events, so that when a large amount of behavior data corresponding to the target object is analyzed, each behavior data belonging to the same business type can be rapidly determined, and in a complex business process, the efficiency of behavior data analysis processing can be improved.

In one embodiment, as shown in fig. 3, determining an event state corresponding to an initial business event based on a time relationship between an event start time and a behavior start time corresponding to the initial business event, and adjusting the initial business event based on the event state and target behavior data to obtain a target business event of a target object includes:

In step S302, when the event start time is the forward time of the behavior start time, determining that the event state is the to-be-written state, writing the target behavior data into the initial business event, and obtaining the target business event.

Step S304, when the event starting time is the backward time of the behavior starting time, determining the event state as the state to be ended, ending the initial business event, creating an updated business event, and writing the target behavior data into the updated business event to obtain the target business event.

Where forward time refers to an earlier time, e.g., 11 points of the day is the forward time of 12 points of the day. The backward time refers to a later time, for example, the 12 th day is the 11 th day backward time.

The state to be written refers to a specific event state corresponding to the service event, and is used for indicating that corresponding behavior data can be written into the service event.

The state to be ended refers to a specific event state corresponding to the service event, which is used for indicating that the behavior data cannot be written into the service event, and the service event can be ended.

The updated service event refers to a newly-built service event which does not contain behavior data, and the updated service event and the initial service event belong to the same service type.

The computer device compares the event start time corresponding to the initial service event with the behavior start time corresponding to the target behavior data, and determines that the event state corresponding to the initial service event is a to-be-written state when the event start time is earlier than the behavior start time, i.e. when the event start time is a forward time of the behavior start time, and writes the target behavior data into the initial service event to obtain the corresponding service event. When the event starting time is later than the behavior starting time, namely when the event starting time is the backward time of the behavior starting time, determining that the event state corresponding to the initial business event is the state to be ended, ending the initial business event, creating an updated business event corresponding to the target behavior data, and writing the target behavior data into the updated business event to obtain the corresponding business event. The computer equipment continues to acquire the behavior data of the target object, and obtains the target business event corresponding to the target object based on each behavior data generated by the target object when the function corresponding to the target behavior data is used.

In the above embodiment, when the target behavior data is start behavior data and the event start time corresponding to the initial business event is the forward time of the behavior start time, it is indicated that the target behavior data is start behavior data corresponding to the initial business event, so that the target behavior data is written into the initial business event. When the target behavior data is the starting behavior data and the event starting time corresponding to the initial behavior data is the backward time of the behavior starting time, the condition that the target behavior data is not the starting behavior data corresponding to the initial behavior event is considered as the condition that the target object restarts a business event of the same business type, so that a new business event needs to be ended, namely, an updated business event is created, the updated business event is used as the initial behavior data corresponding to the target behavior data, and the target behavior data is written into the initial business event. Based on the time relation between the event starting time and the behavior starting time corresponding to the initial business event, behavior data corresponding to different business events can be accurately distinguished, and therefore behavior data processing accuracy is improved.

In one embodiment, the behavior data processing method further includes:

and under the condition that the triggering operation of the target object for the aggregation page is obtained, ending each business event corresponding to the application to which the aggregation page belongs.

The aggregate page refers to an initial page of the target application, when the target object triggers an operation of returning to the aggregate page, each function that the target object is using in the target application is ended, for example, the initial page may be a first page in the target application, a personal homepage in the target application, etc., when the target application is an educational application, the target object is using a login function in the target application, and is in a step of inputting a password, after triggering the operation of returning to the first page, the login operation is ended, and when the target object needs to log in again, the login operation needs to be performed again.

The triggering operation for the aggregated page refers to an operation required by the target object to return to the aggregated page, for example, when the aggregated page is a top page and a personal homepage in the target application, the operation of clicking back to the homepage and the operation of clicking back to the personal page are both triggering operations for the aggregated page.

When the computer device determines that the target behavior data is the triggering operation for the aggregation page based on the behavior data information in the target behavior data, each business event to be written in the business event set to be written corresponding to the application to which the aggregation page belongs is ended, and each business event to be written is used as a corresponding target business event.

In the above embodiment, when the target object triggers the operation of returning to the aggregation page, each function that the target object is using in the target application is ended, so when the target behavior data is the triggering operation for the aggregation page, each business event to be written in the business event set to be written corresponding to the application to which the aggregation page belongs is ended, and reliability of behavior data processing, that is, accuracy of each target business event obtained by processing can be ensured.

In one embodiment, the behavior data processing method further includes:

each time a business event is created, an event countdown timer corresponding to the business event is created; every time behavior data is written into a service event, resetting an event countdown timer corresponding to the service event; and when the countdown of the event countdown timer is finished, ending the business event corresponding to the event countdown timer.

The event countdown timer is used for judging when to stop acquiring the behavior data corresponding to the business event to be written, and ending the countdown timer of the business event to be written. And before the countdown of the event countdown device is finished, continuing to acquire other behavior data corresponding to the business event to be written, and when the event countdown device is finished, considering that the target object finishes the operation of the function corresponding to the business event to be written, and can not acquire other behavior data corresponding to the business event to be written any more, and finishing the business event to be written. For example, when the target application is a game application and the target object uses the login function in the target application, the target object opens the login page, inputs the account number, and inputs the password, and does not click the login operation for a long time, and when the event countdown timer corresponding to the service event is ended, the service event is ended.

Illustratively, each time a business event is created by the computer device, a corresponding event countdown timer is created for the business event, and each time the computer device writes behavior data into the corresponding business event, the corresponding event countdown timer for the business event is reset. Before the event countdown timer is ended, the computer equipment continues to acquire other behavior data corresponding to the business event, if the behavior data corresponding to the business event is acquired, the behavior data is written into the business event, and the event countdown timer is reset. If the behavior data corresponding to the business event is not obtained until the event countdown timer is finished, the business event is finished, the event countdown timer is closed, and the target business event corresponding to the target object is obtained. In one embodiment, behavior data corresponding to the target object is divided into start behavior data, end behavior data and other behavior data, wherein the end behavior data refers to behavior data corresponding to the last operation behavior when the single function of the target application is used by the target object, and the other behavior data refers to behavior data corresponding to each operation behavior except for the first operation behavior and the last operation behavior when the single function of the target application is used by the target object. Before the countdown of the first event countdown device is finished, if the target behavior data acquired by the computer equipment is the ending behavior data, directly ending an initial business event corresponding to the target behavior data to obtain a target business event, closing an event countdown timer corresponding to the initial business event, and if the target behavior data acquired by the computer equipment is the starting behavior data or other behavior data, writing the behavior data into the business event, and resetting the event countdown timer. And if the behavior data corresponding to the business event is not obtained until the event countdown of the event countdown device is finished, ending the business event, closing the event countdown device, and obtaining the target business event corresponding to the target object.

In the above embodiment, by setting the event countdown timer for the service event, when other behavior data corresponding to the service event to be written cannot be obtained for a long time, the service event to be written can be ended in time, so that a large number of service events to be written are avoided. Therefore, the abnormal conditions such as long-time pause operation and behavior data loss of the target object can be better dealt with, meanwhile, the storage resources of the computer equipment can be saved, and the generation efficiency of business events, namely the efficiency of behavior data processing, can be improved.

In one embodiment, the behavior data processing method further includes:

acquiring a father service type corresponding to the target service type; acquiring a business event to be written corresponding to a father business type from a business event set to be written as a father business event; taking the business event corresponding to the target business type as a sub-business event corresponding to the father business event, and forming the business event corresponding to the target business type and the father business event into a father-son business event; and splitting the parent-child relationship between the target service type and the parent service type when the number of the parent-child service events is greater than a preset threshold.

The parent service type refers to a service type corresponding to a service event in which another service event is nested in a pair of nested service events. A parent business event refers to a business event in which another business event is nested in a pair of nested business events. Sub-business events refer to business events nested within one another among nested business events. A parent-child business event refers to a business event that consists of a pair of nested business events. The preset threshold value can be set according to actual needs. The parent-child relationship refers to a nested relationship between a parent business event and a corresponding child business event.

For example, when the target application is a game application, if a real-name authentication function is required to be used for real-name authentication when the user registration function is used, service events corresponding to the user registration function and the real-name authentication function are respectively a pair of nested service events, wherein the service type corresponding to the user registration function is a father service type of the service type corresponding to the real-name authentication function, the service event corresponding to the user registration function is a father service event, the service event corresponding to the real-name authentication function is a child service event, and the father and child service events are formed by the service event corresponding to the user registration function and the service event corresponding to the real-name authentication function.

The computer device obtains the father business type corresponding to the target business type from the father-son relationship configuration library corresponding to the target application, wherein the father-son relationship configuration library records each father-son relationship corresponding to the target application, and the databases of the business types respectively corresponding to the father business event and the son business event in the father-son relationship. And the computer equipment acquires the business event to be written corresponding to the father business type from the business event set to be written corresponding to the target object as the father business event. And taking the business event corresponding to the target business type as a sub-business event corresponding to the father business event, and associating the event identifier corresponding to the father business event into the sub-business event to obtain the father-son business event corresponding to the target business type of the target object. Based on the same method, other objects corresponding to the target application are respectively used as target objects, and father-son business events respectively corresponding to the target business types of the other objects are obtained.

The computer equipment counts the number of each father-son business event corresponding to the target business type of the target application, and when the number of the father-son business events is larger than a preset threshold value, the father-son relationship between the target business type and the father business type is split. For example, when the target application is a borrowing application, if the business event corresponding to the borrowing function and the business event corresponding to the binding bank card function are respectively a pair of nested business events, the business type corresponding to the borrowing function is a father business type, the business type corresponding to the binding bank card function is a son business type, and when the number of father-son business events formed by the business events corresponding to the borrowing function and the binding bank card function respectively is greater than a preset threshold, it is indicated that a large number of users need to perform binding bank card operation when using the borrowing function, and at the moment, the binding bank card operation and the borrowing operation can be separated, namely, the father-son relationship between the target business type and the father business type is split, so that the binding bank card operation becomes an independent function, the user only needs to perform the binding bank card operation once, and in the later borrowing operation, the binding bank card operation is not needed, and the business flow of the target application is optimized.

In one embodiment, for a service event corresponding to a target service type without a parent service type, the computer device cannot obtain the corresponding parent service type in the parent-child relationship configuration library, and then does not need to synthesize the parent-child service event.

In the above embodiment, the number of the parent-child service events corresponding to each service type is counted by determining the parent service event corresponding to the service event to be written and associating the service event to be written with the parent service event to obtain the corresponding parent-child service event. When the number of father-son business events corresponding to the business type is larger than a preset threshold, splitting the father-son relation between the son business type and the father business type, namely optimizing the function corresponding to the father business type in the target application, and separating the function corresponding to the son business type from the function corresponding to the father business type. When each user corresponding to the target application uses the function corresponding to the father service type, the operation corresponding to the son service type is not needed, the operation flow of the function corresponding to the father service type is simplified, the service flow of the target application can be optimized, and meanwhile, the computer resource is saved.

In one embodiment, the behavior data processing method further includes:

acquiring a target service event set corresponding to a target application to which a target service type belongs; each target business event in the target business event set is generated based on the behavior data of at least one target object in the target application; clustering the target business events with abnormal behavior data aiming at the target business event set to obtain clustering clusters respectively corresponding to various abnormal behavior data; and determining a target cluster from the clusters, and adjusting the application function corresponding to the abnormal behavior data corresponding to the target cluster in the target application.

The target business event set refers to a set comprising all target business events corresponding to the target application.

The abnormal behavior data is behavior data indicating that an abnormal condition exists, the abnormal condition can be that the duration of the operation behavior is overlong, the operation result corresponding to the operation behavior is operation failure, and the like, and whether the abnormal condition exists in the behavior data can be judged through attribute information associated with the behavior data. For example, the function corresponding to the target business event is a user login function, the operation behaviors needed to be performed by using the user login function include opening a login page, inputting an account, clicking to confirm login, performing face recognition and the like, and if the behavior duration event is overlong in the behavior data corresponding to the operation behavior clicking to confirm login, the abnormal condition exists in the clicking to confirm login operation, and the corresponding behavior data is abnormal behavior data; if the operation result corresponding to the behavior data is determined to be operation failure based on the attribute information associated with the behavior data in the behavior data corresponding to the operation behavior for performing the face recognition authentication, namely the face recognition authentication is failed, the abnormal condition exists in the operation of performing the face recognition authentication, and the corresponding behavior data is abnormal behavior data; etc.

Clustering refers to the process of combining each target business event with abnormal behavior data in a target business event set. The clustering is a business event set obtained by combining each target business event with abnormal behavior data in the target business event set according to the same application function corresponding to the abnormal behavior data and each target business event with the abnormal behavior data belonging to the same application function. The target cluster is a cluster which is determined from all the clusters and can reflect the defects of the application functions in the target application, and is used for determining how to adjust the application functions in the target application. For example, when a large amount of abnormal behavior data with operation failure exists in the target cluster, if the operation behavior corresponding to the abnormal behavior data is the face recognition authentication operation, the face recognition authentication function in the target application needs to be adjusted based on the target cluster, so that the accuracy of the face recognition authentication function is improved.

The application function refers to a specific function corresponding to each behavior data in the target application. For example, when the target object uses the user login function to perform user login, the corresponding target service type is user login, the generated behavior data includes behavior data corresponding to operation behaviors such as opening a login page, inputting an account number, inputting a password, clicking login, and the like, and the operation behaviors such as opening the login page, inputting the account number, inputting the password, clicking login, and the like are all specific functions in the target application.

The computer equipment acquires a target service event set corresponding to a target application to which the target service type belongs, determines abnormal behavior data existing in each target service event, and performs clustering operation on each target service event of which the abnormal behavior data belongs to the same application function according to a behavior operation type corresponding to the abnormal behavior data to obtain clustering clusters respectively corresponding to each abnormal behavior data. And determining the number of target business events in the cluster, and taking the cluster as a target cluster when the number of the target business events in the cluster is larger than a preset threshold value to obtain each target cluster. And analyzing the reasons possibly causing various abnormal behavior data for the abnormal behavior data corresponding to each target cluster, and correspondingly adjusting the application functions corresponding to the various abnormal behavior data in the target application so as to reduce the probability of occurrence of the abnormal behavior data. For example, when the abnormal behavior data corresponding to the target cluster is the face recognition authentication failure, the reason that the face recognition authentication failure is caused may be that the accuracy of the face recognition is not high, so that the face recognition authentication function in the target application can be optimized, and the accuracy of the face recognition authentication function is improved.

In the above embodiment, clustering operation is performed on each target service event of which abnormal behavior data belongs to the same application function, so as to obtain clusters respectively corresponding to the abnormal behavior data. The clustering clusters with the number of business events larger than a preset threshold value in each clustering cluster are used as target clustering clusters, abnormal behavior data corresponding to each target clustering cluster are analyzed, the reasons possibly causing various abnormal behavior data are determined, and the application functions corresponding to the various abnormal behavior data are adjusted and optimized, so that the probability of occurrence of the abnormal behavior data can be reduced, and each application function in target application is more perfect.

In a specific embodiment, the behavior data processing method of the present application may be applied to a behavior data processing system, to process massive behavior data flows corresponding to lending applications. When each user uses the lending application, massive behavior data flows are generated, each behavior data sequentially reaches the behavior data processing system, and each behavior data is processed by the behavior data processing system. Since the behavior data streams arrive sequentially at the data processing system, the behavior data arriving sequentially can be regarded as a user behavior sequence, and the behavior data processing system processes the user behavior sequence corresponding to the lending application. The behavior data processing method comprises the following steps:

1. Obtaining target behavior data

The behavior data processing system obtains behavior data (namely behavior operation details) generated when a user uses a lending application as target behavior data, takes the user corresponding to the target behavior data as a target user, determines behavior starting time corresponding to the target behavior data based on the target behavior data, and determines a target service type and a behavior data type corresponding to the target behavior data based on operation codes in the target behavior data. The operation code is an information code corresponding to each behavior data, and each operation code is unique and carries information such as the service type, the operation type and the like corresponding to each behavior data. The operation types include three types of start behavior data, end behavior data, and other behavior data.

2. Determining initial business events

As shown in fig. 4, the behavior data processing system first determines whether the target behavior data is an operation of opening the aggregate page, and ends each business event to be written corresponding to the lending application when the target behavior data is the operation of opening the aggregate page. When the target behavior data is not the operation of opening the aggregate page, judging whether to-be-written business events corresponding to the target business types exist in each to-be-written business event corresponding to the lending application, when the to-be-written business event does not exist in the to-be-written business event set of the to-be-written business event, creating an initial business event, writing the target behavior data into the initial business event (namely, the current business event) to obtain the to-be-written business event, and creating an event countdown timer corresponding to the to-be-written business event. When the business event to be written exists in the business event set to be written, the business event to be written corresponding to the target business type is taken as an initial business event.

3. Determining target business events

Judging whether the target behavior data is starting behavior data, if the target behavior data is starting behavior data, judging whether the behavior starting time of the target behavior data is later than the time starting time of the initial business event, if so, ending the initial business event to obtain the target business event, creating a new initial business event, writing the target behavior data into the initial business event to obtain a business event to be written, and creating an event countdown timer corresponding to the business event to be written. If the behavior start time of the target behavior data is earlier than the time start time of the initial business event, judging whether the target behavior data is the ending behavior data, writing the target behavior data into the initial business event, and resetting an event countdown timer corresponding to the initial business event.

If the target behavior data is the starting behavior data and is not the starting behavior data, judging whether the target behavior data is the ending behavior data, if so, directly ending the initial business event, and if not, writing the target behavior data into the initial business event and resetting an event countdown timer corresponding to the initial business event.

And when the event countdown timer is finished, ending the corresponding initial business event to obtain the corresponding target business event.

4. Optimizing lending applications

And the behavior data processing system counts the number of father-son business events corresponding to each business type of the lending application, and splits the father-son relationship between the son business type and the father business type when the number of father-son business events is larger than a preset threshold value.

And the behavior data processing system determines each cluster corresponding to the lending application based on each target business event corresponding to the lending application, determines a target cluster from each cluster, and adjusts the application function corresponding to the abnormal behavior data corresponding to the target cluster in the target application.

In the above embodiment, the behavior data processing system processes the massive behavior data streams corresponding to the lending application, and synthesizes a series of behavior operation data of the user into corresponding single business event data from a business perspective. In a complex business process, based on the data of each business event, business personnel can quickly determine the specific position of the process where the user is, quickly determine the abnormal condition encountered by the user, and continuously optimize the business process through big data analysis. In addition, compared with scattered behavior data, the business event data synthesized by the behavior data can be convenient for business personnel to understand and analyze, and the efficiency of data processing is greatly improved.

Because the order of the behavior data is larger and the real-time data is stored in an out-of-order condition to reach the behavior data processing system, the behavior data processing method defines the start and the end of the business event in a plurality of modes, and decides to create or end the event based on the operation type, the behavior occurrence time, the data continuous reaching time and the appointed special operation, so that the accuracy of behavior data processing can be improved. Meanwhile, the behavior data processing method does not depend on creating an event only when the behavior data of the event starting operation class arrives, but all the behavior data of the operation type can be used for creating corresponding business events, so that the flexibility of behavior data processing is ensured. In addition, the behavior data processing system supports business event nesting, the business events can comprise sub-business events, father-son relations are reserved, business processes of the lending application can be optimized based on the father-son business events corresponding to the lending application, and computer resources are saved.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a behavior data processing device for realizing the above related behavior data processing method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation of one or more embodiments of the behavior data processing device provided below may refer to the limitation of the behavior data processing method hereinabove, and will not be repeated herein.

In one embodiment, as shown in fig. 5, there is provided a behavior data processing apparatus including: a behavioral data acquisition module 502, an initial business event determination module 504, and a target business event module 506, wherein:

the behavior data obtaining module 502 is configured to obtain target behavior data of a target object, a target service type corresponding to the target behavior data, and a behavior start time corresponding to the target behavior data.

An initial service event determining module 504, configured to determine an initial service event based on the set of service events to be written of the target object and the target service type.

The target business event determining module 506 is configured to determine an event state corresponding to the initial business event based on a time relationship between an event start time corresponding to the initial business event and a behavior start time when the target behavior data is the start behavior data, and adjust the initial business event based on the event state and the target behavior data to obtain a target business event of the target object.

The target business event determining module 506 is further configured to obtain a target business event of the target object based on the target behavior data and the initial business event when the target behavior data is non-start behavior data, where the target business event is used for adjusting the business process.

The behavior data processing device determines an initial business event corresponding to the target behavior data in a business event set to be written of the target object based on the target business type corresponding to the target behavior data of the target object. Therefore, each behavior data can be corresponding to different types of business events, and a large amount of scattered behavior data corresponding to the target object is combined into each different business event, so that each behavior data belonging to the same business type can be rapidly determined when a large amount of behavior data corresponding to the target object is analyzed, and the efficiency of behavior data analysis processing can be improved in a complex business process. When the target behavior data is the starting behavior data, based on the behavior starting time corresponding to the target behavior data and the event starting time corresponding to the initial business event, the initial business event corresponding to the target behavior data is adjusted to obtain the target business event. Therefore, a clear time relationship exists between each initial business event corresponding to the target object, and the business event corresponding to the target behavior data is more accurate. When the target behavior data is non-starting behavior data, the target business event corresponding to the target object is determined based on the target behavior data and the corresponding initial business event, so that a large amount of scattered behavior data corresponding to the target object can be combined into each business event, and the efficiency of processing the behavior data can be improved.

In one embodiment, the initial business event determination module 504 is further configured to:

In one embodiment, the target business event determination module 506 is further configured to:

when the event starting time is the forward time of the behavior starting time, determining that the event state is a state to be written in, and writing target behavior data into an initial business event to obtain a target business event; when the event starting time is the backward time of the behavior starting time, determining that the event state is the state to be ended, ending the initial business event, creating an updated business event, and writing the target behavior data into the updated business event to obtain the target business event.

In one embodiment, as shown in fig. 6, the behavior data processing apparatus further includes:

the aggregate page triggering module 602 is configured to end each service event corresponding to the application to which the aggregate page belongs when the triggering operation of the target object for the aggregate page is acquired.

a timer setting module 604, configured to create an event countdown timer corresponding to a service event every time a service event is created; every time behavior data is written into a service event, resetting an event countdown timer corresponding to the service event; and when the countdown of the event countdown timer is finished, ending the business event corresponding to the event countdown timer.

a father-son business event determining module 606, configured to obtain a father business type corresponding to the target business type; acquiring a business event to be written corresponding to a father business type from a business event set to be written as a father business event; taking the business event corresponding to the target business type as a sub-business event corresponding to the father business event, and forming the business event corresponding to the target business type and the father business event into a father-son business event; and splitting the parent-child relationship between the target service type and the parent service type when the number of the parent-child service events is greater than a preset threshold.

The target application adjustment module 608 is configured to obtain a target service event set corresponding to a target application to which the target service type belongs; each target business event in the target business event set is generated based on the behavior data of at least one target object in the target application; clustering the target business events with abnormal behavior data aiming at the target business event set to obtain clustering clusters respectively corresponding to various abnormal behavior data; and determining a target cluster from the clusters, and adjusting the application function corresponding to the abnormal behavior data corresponding to the target cluster in the target application.

The respective modules in the above-described behavior data processing apparatus may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing data such as target behavior data, target service types, behavior start time and the like. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a behavioural data processing method.

In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 8. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a behavioural data processing method. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.

It will be appreciated by those skilled in the art that the structures shown in fig. 7 and 8 are block diagrams of only some of the structures that are relevant to the present application and are not intended to limit the computer device on which the present application may be implemented, and that a particular computer device may include more or fewer components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the method embodiments described above.

In one embodiment, a computer program product or computer program is provided that includes computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in the above-described method embodiments.

It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to comply with the related laws and regulations and standards of the related countries and regions.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims

1. A behavioural data processing method, the method comprising:

determining an initial business event based on the business event set to be written of the target object and the target business type;

When the target behavior data is starting behavior data, determining an event state corresponding to the initial business event based on a time relation between an event starting time corresponding to the initial business event and the behavior starting time, and adjusting the initial business event based on the event state and the target behavior data to obtain a target business event of the target object;

and when the target behavior data is non-starting behavior data, obtaining a target business event of the target object based on the target behavior data and the initial business event, wherein the target business event is used for adjusting a business process.

2. The method of claim 1, wherein the determining an initial business event based on the set of business events to be written for the target object and the target business type comprises:

when the business event to be written corresponding to the target business type exists in the business event set to be written, taking the business event to be written corresponding to the target business type as the initial business event;

and when the business event to be written corresponding to the target business type does not exist in the business event set to be written, creating the initial business event.

3. The method according to claim 1, wherein the determining the event state corresponding to the initial business event based on the time relation between the event start time corresponding to the initial business event and the behavior start time, and adjusting the initial business event based on the event state and the target behavior data, to obtain the target business event of the target object, includes:

when the event starting time is the forward time of the behavior starting time, determining that the event state is a state to be written in, and writing the target behavior data into the initial business event to obtain the target business event;

and when the event starting time is the backward time of the behavior starting time, determining that the event state is a state to be ended, ending the initial business event, creating an updated business event, and writing the target behavior data into the updated business event to obtain the target business event.

4. The method according to claim 1, wherein the method further comprises:

and ending each business event corresponding to the application to which the aggregation page belongs under the condition that the triggering operation of the target object for the aggregation page is acquired.

5. The method according to claim 1, wherein the method further comprises:

each time a business event is created, an event countdown timer corresponding to the business event is created;

every time behavior data is written into a service event, resetting an event countdown timer corresponding to the service event;

and when the countdown of the event countdown timer is finished, ending the business event corresponding to the event countdown timer.

6. The method according to any one of claims 1 to 5, further comprising:

acquiring a father service type corresponding to the target service type;

acquiring a business event to be written corresponding to the father business type from a business event set to be written as a father business event;

the business event corresponding to the target business type is used as a sub-business event corresponding to the father business event, and the business event corresponding to the target business type and the father business event form a father-son business event;

and splitting the parent-child relationship between the target service type and the parent service type when the number of the parent-child service events is greater than a preset threshold.

7. The method according to any one of claims 1 to 5, further comprising:

Acquiring a target service event set corresponding to a target application to which the target service type belongs; each target business event in the set of target business events is generated based on behavior data of at least one target object in the target application;

clustering the target business events with abnormal behavior data aiming at the target business event set to obtain clustering clusters respectively corresponding to various abnormal behavior data;

and determining a target cluster from the clusters, and adjusting the application function corresponding to the abnormal behavior data corresponding to the target cluster in the target application.

8. A behavioral data apparatus, said apparatus comprising:

the behavior data acquisition module is used for acquiring target behavior data of a target object, a target service type corresponding to the target behavior data and a behavior start time corresponding to the target behavior data;

the initial business event determining module is used for determining an initial business event based on the business event set to be written of the target object and the target business type;

the target business event determining module is used for determining an event state corresponding to the initial business event based on the time relation between the event start time corresponding to the initial business event and the behavior start time when the target behavior data is the start behavior data, and adjusting the initial business event based on the event state and the target behavior data to obtain a target business event of the target object;

And the target business event determining module is further used for obtaining a target business event of the target object based on the target behavior data and the initial business event when the target behavior data is non-starting behavior data, wherein the target business event is used for adjusting a business process.

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.

10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.