CN113239251A - Processing method of buried point data, related device and storage medium - Google Patents
Processing method of buried point data, related device and storage medium Download PDFInfo
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- CN113239251A CN113239251A CN202110585045.XA CN202110585045A CN113239251A CN 113239251 A CN113239251 A CN 113239251A CN 202110585045 A CN202110585045 A CN 202110585045A CN 113239251 A CN113239251 A CN 113239251A
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- 238000003672 processing method Methods 0.000 title claims description 6
- 238000012545 processing Methods 0.000 claims abstract description 44
- 238000000034 method Methods 0.000 claims abstract description 41
- 238000004806 packaging method and process Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 description 14
- 238000007405 data analysis Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000001960 triggered effect Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000003111 delayed effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
- G06F11/3093—Configuration details thereof, e.g. installation, enabling, spatial arrangement of the probes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3438—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment monitoring of user actions
Abstract
The embodiment of the application discloses a method for processing buried point data, which is used for improving the efficiency of processing the buried point data by a back-end server. The method in the embodiment of the application comprises the following steps: and the back-end server configures a target event corresponding to the embedded point according to the service type and introduces the embedded point into the target webpage. When the target webpage triggers the target event, the buried point automatically collects the buried point data corresponding to the target event in the target webpage. The buried point data is sent to a back-end server and processed by the back-end server. By the method, when the target webpage triggers the target event, the back-end server receives the buried point data corresponding to the target event, the degree of attachment of the buried point data and the service is high, and the efficiency of processing the buried point data by the back-end server is improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method for processing buried point data, a related apparatus, and a storage medium.
Background
The buried point analysis is a commonly used data acquisition method in the data analysis process. When an application system (such as a website or an App) is designed and implemented, a core service function is mainly concerned, after the application system is put into operation, when user behavior analysis is performed, the data of the core service system is found to be far insufficient, and more user behaviors and other related data need to be collected, so that some extra codes need to be added into application codes to collect data, and the data is called a 'buried point'.
In the existing method for reporting buried point data, all click events on a webpage or an APP are monitored, all click events and corresponding data are reported and then transmitted to a back end, and the data are analyzed by a back end server.
However, for a complex service scenario in practical application, the data amount of the buried point data reported by monitoring all click events is huge and various, and when a back-end server needs to analyze and process the data of the buried point of a certain service type, the efficiency is low.
Disclosure of Invention
In view of this, the present application provides a method for processing buried point data, which is used to improve the efficiency of processing the buried point data by a back-end server.
One aspect of the present application provides a method for processing buried point data, including:
configuring a target event corresponding to the buried point according to the service type;
introducing the buried points into a target webpage;
when a target webpage triggers the target event, receiving buried point data corresponding to the target event from the target webpage;
and processing the buried point data.
In one possible implementation manner, the processing the buried point data includes:
acquiring a data type template;
matching the buried point data according to the data type template to obtain a classification result;
and analyzing the buried point data according to the classification result.
In a possible implementation manner, the receiving the buried point data corresponding to the target event from the target webpage includes:
receiving packaged picture data from the target webpage, wherein the packaged picture data are data packaged through picture tags;
analyzing the packaged picture data to obtain buried point data corresponding to the target event in the target webpage.
In one possible implementation, the introducing the buried point to the target webpage includes:
packaging the buried points into a Software Development Kit (SDK);
and introducing the SDK to a target webpage.
Another aspect of the present application provides a buried point data processing apparatus, including:
the configuration unit is used for configuring a target event corresponding to the buried point according to the service type;
the introducing unit is used for introducing the buried points into the target webpage;
the receiving unit is used for receiving buried point data corresponding to the target event from the target webpage when the target webpage triggers the target event;
and the processing unit is used for processing the buried point data.
In a possible implementation manner, the processing unit is specifically configured to:
acquiring a data type template;
matching the buried point data according to the data type template to obtain a classification result;
and analyzing the buried point data according to the classification result.
In a possible implementation manner, the receiving unit is specifically configured to:
receiving packaged picture data from the target webpage, wherein the packaged picture data are data packaged through picture tags;
analyzing the packaged picture data to obtain buried point data corresponding to the target event in the target webpage.
In a possible implementation manner, the introducing unit is specifically configured to:
packaging the buried points into a Software Development Kit (SDK);
and introducing the SDK to a target webpage.
Another aspect of the present application provides a computer device, comprising: a memory, a processor, and a bus system; the memory is used for storing program codes; the processor is used for executing the processing method of the buried point data according to any one of the above aspects according to the instructions in the program code.
In another aspect, the present application provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the method for processing the buried point data according to any one of the above aspects.
According to another aspect of the application, a computer program product or computer program is provided, comprising 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 to enable the computer device to execute the processing method of the buried point data according to any one of the above aspects.
According to the technical scheme, the embodiment of the application has the following advantages: and the back-end server configures a target event corresponding to the embedded point according to the service type and introduces the embedded point into the target webpage. When the target webpage triggers the target event, the buried point automatically collects the buried point data corresponding to the target event in the target webpage. The buried point data is sent to a back-end server and processed by the back-end server. By the method, when the target webpage triggers the target event, the back-end server receives the buried point data corresponding to the target event, the degree of attachment of the buried point data and the service is high, and the efficiency of processing the buried point data by the back-end server is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart illustrating a processing of buried point data according to an embodiment of the present disclosure;
FIG. 2 is a flow chart illustrating another example of processing buried point data according to the present invention;
fig. 3 is a schematic structural diagram of a buried point data processing apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a computer device in an embodiment of the present application.
Detailed Description
The embodiment of the application provides a method for processing buried point data, which is used for improving the efficiency of processing the buried point data by a back-end server.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "corresponding" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The present application provides a method for processing buried point data, please refer to fig. 1, where fig. 1 is a flowchart for processing the buried point data provided in the embodiment of the present application, and the embodiment of the present application includes the following steps:
101. configuring a target event corresponding to the buried point according to the service type;
in the embodiment of the application, a corresponding buried point can be configured for each service type according to different service types, and a buried point document is designed. The buried point document design is a specification of a buried point in an application process, and specifically, according to different service types, the design of the buried point document may include but is not limited to: the system comprises a buried point module, a buried point module ID, a target event, a parameter, a buried point reporting position, reporting time and the like. The target event is also called a trigger event, and when the operation executed by the user on the target webpage meets the target event, the embedded point is triggered to acquire the embedded point data corresponding to the target event.
For example, assuming that the backend server needs to know the preference of the user for registering on the web page, and know that the user prefers to register through a mailbox or a mobile phone number, the target event for the configured embedded point may be that the user clicks a "submit register" button on the web page. When a user clicks a 'submit register' button on a webpage in actual application, the target event is met, and a buried point is triggered to collect data.
102. Introducing a buried point into a target webpage;
after the buried point is configured, via step 101, the buried point may be introduced to the target web page. It should be understood that, in the present application, the specific form of the target web page is not limited, and may be a computer website, a mobile phone website, or an APP, and the specific form is not limited herein.
Further, in order to avoid affecting the original service code of the target webpage during the process of introducing the buried point, in this embodiment, the configured buried point may be packaged as a Software Development Kit (SDK), and then the SDK is introduced into the target webpage.
103. When a target webpage triggers a target event, receiving buried point data corresponding to the target event from the target webpage;
when the operation executed by the user on the target webpage meets the target event, namely the target webpage triggers the target event, the buried point is triggered to acquire the data of the target webpage. It should be understood that, in the present application, the collected buried point data should be data corresponding to the target event, and other data not related to the target event does not need to be collected. In practical application, specific data which are required to be collected and correspond to the target event can be configured in the process of designing the buried point document.
Therefore, the collected buried point data has higher attaching degree with the service, and on the other hand, the transmission quantity of the data can be greatly reduced, and the occupation of network resources is reduced.
In practical applications, a problem that data of buried points needs to be transmitted across domains often occurs, and domain names, ports or protocols are different and belong to cross-domain transmission, for example, a browser requests a resource of another domain name from a webpage of one domain name. Therefore, in the embodiment of the application, after the buried point data is collected, the target webpage can package the buried point data through the picture tag to obtain corresponding packaged picture data. And then transmitting the packaged picture data to a back-end server. For example, in an HTML webpage, after the data of the embedded point is collected, the data of the embedded point is packaged and packaged through img src tags, and accordingly corresponding packaged picture data are generated and transmitted to a back-end server. After receiving the packaged picture data, the back-end server can analyze the packaged picture data to obtain buried point data corresponding to a target event in a target webpage. Through the mode, the collected embedded point data is transmitted to the back-end server in the form of packaged picture data, so that the cross-domain problem can be solved, and transmission blockage is prevented.
Referring to fig. 2, fig. 2 is another processing flow chart of the embedded point data in the embodiment of the present application, as shown in fig. 2, the processing method of the embedded point data provided in the present application may further collect, by combining with a conventional full embedded point mode, basic information of a target web page, information of a user, such as a browsing number and a page dwell time of a page, and the like, where the basic information may be information of a user Id, a browser version, a system version, a network type, a path of a current page, and the like. Because the amount of the information data is large, and the data analysis task of the back-end server has no strict requirement on timeliness, the data acquired by the full-buried point mode can be transmitted to the back-end server by adopting a delayed acquisition mode or a timing acquisition mode. And when the operation of the user on the target webpage triggers the target event, the point is buried as in step 101 to perform real-time collection and report.
104. And processing the buried point data.
After receiving the buried point data, the back-end server can execute the subsequent data analysis process, and process the buried point data according to the business requirement.
In the embodiment of the application, the back-end server configures the target event corresponding to the buried point according to the service type and introduces the buried point into the target webpage. When the target webpage triggers the target event, the buried point automatically collects the buried point data corresponding to the target event in the target webpage. The buried point data is sent to a back-end server and processed by the back-end server. By the method, when the target webpage triggers the target event, the back-end server receives the buried point data corresponding to the target event, the degree of attachment of the buried point data and the service is high, and the efficiency of processing the buried point data by the back-end server is improved.
In practical applications, the data of the embedded point collected by the embedded point is various, for example, the back-end server needs to know the preference of the user in the registration mode on the webpage, and may need to collect information such as the mobile phone number, mailbox, gender, region, age, and the like of the user. For the convenience of analysis and comparison, the back-end server may classify the buried point data after receiving the buried point data from the target webpage. Specifically, various data type templates, such as a template of mobile phone number data or a template of mailbox data, may exist in the back-end server, and the classification result of the buried point data may be obtained by matching the data type templates with the buried point data. And then the subsequent data analysis process is executed. According to the method and the device, after the buried point data are received, the buried point data can be classified, and then subsequent data analysis is carried out, so that the data analysis efficiency is improved.
Further, in practical applications, the data amount of the buried point data is relatively large. Therefore, in order to relieve the pressure of data transmission, the storage form of Localstorage can be cached in the target webpage to cache the buried point data, and operations such as adding, deleting or modifying the buried point data in the cache can also be performed.
In order to better implement the above-mentioned aspects of the embodiments of the present application, the following also provides related apparatuses for implementing the above-mentioned aspects. Referring to fig. 3, fig. 3 is a schematic structural diagram of a buried point data processing apparatus according to an embodiment of the present application, where the buried point data processing apparatus includes:
a configuration unit 301, configured to configure a target event corresponding to a buried point according to a service type;
an introducing unit 302, configured to introduce the buried point into a target webpage;
a receiving unit 303, configured to receive buried point data corresponding to a target event from a target webpage when the target event is triggered by the target webpage;
and the processing unit 304 is used for processing the buried point data.
Optionally, on the basis of the embodiment corresponding to fig. 3, the processing unit 304 is specifically configured to:
acquiring a data type template;
matching the buried point data according to the data type template to obtain a classification result;
and analyzing the buried point data according to the classification result.
Optionally, on the basis of the embodiment corresponding to fig. 3, the receiving unit 303 is specifically configured to:
receiving packaged picture data from the target webpage, wherein the packaged picture data are data packaged through picture tags;
analyzing the packaged picture data to obtain buried point data corresponding to the target event in the target webpage.
Optionally, on the basis of the embodiment corresponding to fig. 3, the introducing unit 302 is specifically configured to:
packaging the buried points into a Software Development Kit (SDK);
and introducing the SDK to a target webpage.
In this embodiment, the buried point data processing apparatus may perform the operations of the embodiments shown in fig. 1 or fig. 2, and details thereof are not repeated herein.
The embodiment of the present application further provides a computer device, configured to perform the operations of any one of the embodiments shown in fig. 1 or fig. 2. Referring to fig. 4, fig. 4 is a schematic structural diagram of a computer apparatus 400 according to an embodiment of the present application. As shown, the computer device 400 may vary widely in configuration or performance, and may include one or more Central Processing Units (CPUs) 422 (e.g., one or more processors) and memory 432, one or more storage media 430 (e.g., one or more mass storage devices) storing applications 442 or data 444. Wherein the memory 432 and storage medium 430 may be transient or persistent storage. The program stored on the storage medium 430 may include one or more modules (not shown), each of which may include a series of instructions operating on a computer device. Still further, the central processor 422 may be arranged to communicate with the storage medium 430 to execute a series of instruction operations in the storage medium 430 on the computer device 400.
The computer device 400 may also include one or more power supplies 426, one or more wired or wireless network interfaces 450, one or more input-output interfaces 458, and/or one or more operating systems 441, such as a Windows ServerTM,Mac OS XTM,UnixTM,LinuxTM,FreeBSDTMAnd so on.
The steps performed in the above embodiments may be based on the structure of the computer device shown in fig. 4.
Embodiments of the present application also provide a computer-readable storage medium, in which a computer program is stored, and when the computer program runs on a computer, the computer is caused to execute the method described in the foregoing embodiments.
Embodiments of the present application also provide a computer program product including a program, which, when run on a computer, causes the computer to perform the methods described in the foregoing embodiments. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a management apparatus for interactive video, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A method for processing buried point data is characterized by comprising the following steps:
configuring a target event corresponding to the buried point according to the service type;
introducing the buried points into a target webpage;
when a target webpage triggers the target event, receiving buried point data corresponding to the target event from the target webpage;
and processing the buried point data.
2. The method of claim 1, wherein the processing the buried point data comprises:
acquiring a data type template;
matching the buried point data according to the data type template to obtain a classification result;
and analyzing the buried point data according to the classification result.
3. The method of claim 1 or 2, wherein the receiving the buried point data corresponding to the target event from the target webpage comprises:
receiving packaged picture data from the target webpage, wherein the packaged picture data are data packaged through picture tags;
analyzing the packaged picture data to obtain buried point data corresponding to the target event in the target webpage.
4. The method of claim 1 or 2, wherein the introducing the buried point to the target webpage comprises:
packaging the buried points into a Software Development Kit (SDK);
and introducing the SDK to a target webpage.
5. A buried point data processing apparatus comprising:
the configuration unit is used for configuring a target event corresponding to the buried point according to the service type;
the introducing unit is used for introducing the buried points into the target webpage;
the receiving unit is used for receiving buried point data corresponding to the target event from the target webpage when the target webpage triggers the target event;
and the processing unit is used for processing the buried point data.
6. The buried point data processing apparatus according to claim 5, wherein the processing unit is specifically configured to:
acquiring a data type template;
matching the buried point data according to the data type template to obtain a classification result;
and analyzing the buried point data according to the classification result.
7. The buried point data processing apparatus according to claim 5 or 6, wherein the receiving unit is specifically configured to:
receiving packaged picture data from the target webpage, wherein the packaged picture data are data packaged through picture tags;
analyzing the packaged picture data to obtain buried point data corresponding to the target event in the target webpage.
8. The buried point data processing apparatus according to claim 5 or 6, wherein the introducing unit is specifically configured to:
packaging the buried points into a Software Development Kit (SDK);
and introducing the SDK to a target webpage.
9. A computer device, the computer device comprising a processor and a memory:
the memory is used for storing program codes; the processor is used for executing the processing method of the buried point data of any one of claims 1 to 4 according to the instructions in the program code.
10. A computer-readable storage medium having stored therein instructions which, when run on a computer, cause the computer to execute the method of processing buried point data of any one of claims 1 to 4.
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---|---|---|---|---|
CN115510352A (en) * | 2022-11-15 | 2022-12-23 | 中国外运股份有限公司 | User behavior acquisition method and device, electronic equipment and storage medium |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017167042A1 (en) * | 2016-04-01 | 2017-10-05 | 阿里巴巴集团控股有限公司 | Statistical method and apparatus for behaviors of front-end users |
CN110674440A (en) * | 2019-08-30 | 2020-01-10 | 深圳壹账通智能科技有限公司 | Buried point data processing method, system, computer device and readable storage medium |
CN112069384A (en) * | 2020-09-04 | 2020-12-11 | 中国平安人寿保险股份有限公司 | Buried point data processing method, server and readable storage medium |
-
2021
- 2021-05-27 CN CN202110585045.XA patent/CN113239251A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017167042A1 (en) * | 2016-04-01 | 2017-10-05 | 阿里巴巴集团控股有限公司 | Statistical method and apparatus for behaviors of front-end users |
CN110674440A (en) * | 2019-08-30 | 2020-01-10 | 深圳壹账通智能科技有限公司 | Buried point data processing method, system, computer device and readable storage medium |
CN112069384A (en) * | 2020-09-04 | 2020-12-11 | 中国平安人寿保险股份有限公司 | Buried point data processing method, server and readable storage medium |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115510352A (en) * | 2022-11-15 | 2022-12-23 | 中国外运股份有限公司 | User behavior acquisition method and device, electronic equipment and storage medium |
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