CN112181794A

CN112181794A - Page monitoring method and device, computer equipment and storage medium

Info

Publication number: CN112181794A
Application number: CN202011052112.3A
Authority: CN
Inventors: 张丽梅
Original assignee: Ping An Property and Casualty Insurance Company of China Ltd
Current assignee: Ping An Property and Casualty Insurance Company of China Ltd
Priority date: 2020-09-29
Filing date: 2020-09-29
Publication date: 2021-01-05

Abstract

The embodiment of the application belongs to the field of artificial intelligence of digital hospitals, and relates to a medical system page monitoring method, which comprises the following steps: combining variables of multiple dimensions to generate an attribute group ID; configuring the page corresponding to the attribute group ID with the corresponding embedded point attribute identification; when an access event and/or a click event triggered by a user is monitored, acquiring a buried point attribute corresponding to the buried point attribute group ID; saving the buried point attribute to a Json file; and reporting the Json file. In addition, the present application relates to blockchain techniques where the attribute group IDs are stored in blockchains. The application also provides a medical system page monitoring device, computer equipment and a storage medium. The times of monitoring wrong interference items on the page of the medical system are reduced, and the high-efficiency data acquisition capability of the medical health platform of the digital hospital is guaranteed.

Description

Page monitoring method and device, computer equipment and storage medium

Technical Field

The present application relates to the field of artificial intelligence, and in particular, to a page monitoring method and apparatus, a computer device, and a storage medium.

Background

In the process of reporting a point burying event, which often occurs in an existing medical system, although event data corresponding to user operation can be collected by triggering a preset point burying control element through a client, and an operation identifier of the time is assigned to an operation attribute of the event, so that synchronous operation data in different medical condition scenes are recorded, and when a sub-attribute of a next operation attribute needs to be added, data statistics is abnormal and a statistical standard is not uniform due to too deep attribute levels, too many condition scenes and manually defined value errors. Taking a branch channel statistic as an example, the access amount of one page needs to distinguish access values of different entrance scenes, and set embedded point event channel values, such as APP, WeChat, H5, small programs and partners, but secondary channels under each channel depend on entrance definitions under specific channels, a large number of secondary channel attribute names need to be created by artificial definition, and it is ensured that understanding deviation between business personnel and developers does not occur in the creation process, and the defined secondary channel values cannot be stored in a data embedded point platform, so that after medical data is reported, business personnel need to develop and provide access calibers to perform directional medical data acquisition. The statistical error frequency of the medical data is high, and the acquisition cost and difficulty of the medical data are increased.

Disclosure of Invention

The embodiment of the application aims to provide a page monitoring method, a page monitoring device, computer equipment and a storage medium, so that the data acquisition cost is saved.

In order to solve the above technical problem, an embodiment of the present application provides a page monitoring method, which adopts the following technical solutions:

combining variables of multiple dimensions to generate an attribute group ID;

configuring a corresponding embedded point attribute group ID for the page corresponding to the attribute group ID;

when an access event and/or a click event triggered by a user is monitored, acquiring a buried point attribute corresponding to the buried point attribute group ID;

saving the buried point attribute to a Json file;

and reporting the Json file.

Further, the step of configuring the page corresponding to the attribute group ID with the corresponding embedded point specifically includes:

identifying components of the property group ID;

if the attribute group ID component comprises a plurality of the primary channels and a plurality of the secondary channels, acquiring a plurality of primary channels corresponding to the attribute group ID and a plurality of secondary channels to obtain a plurality of target channels;

acquiring information in the user access page or the click page to obtain page information;

and acquiring the primary channel and the secondary channel in the target channels from the page information to obtain the buried point attribute group ID.

Further, the step of configuring the page corresponding to the attribute group ID with the corresponding buried point attribute group ID specifically includes:

identifying components of the property group ID;

if the attribute group ID component comprises a preset code node corresponding to the service process, acquiring the preset code node corresponding to the service process;

when it is monitored that a user enters a business link, reading information of the business link through the preset code node;

acquiring user identity information according to the identity ID, the equipment ID and the Internet protocol IP address of the user;

and taking the information of the business link and the user identity information as a buried point attribute group ID.

Further, after the step of configuring the page corresponding to the attribute group ID with the corresponding buried point attribute group ID, the method further includes:

acquiring a maximum uploading threshold value N;

counting the number of the ID of the buried point attribute group;

when the ID of the buried point attribute group is larger than N, uploading the ID of the buried point attribute group in a sendBeacon mode;

and when the embedded point attribute group IDs are smaller than N, uploading the remaining fewer than N embedded point attribute group IDs in a sendBeacon mode.

Further, the step of acquiring the buried point attribute corresponding to the buried point attribute group ID when monitoring the user-triggered access event and the click event further includes:

setting an upper limit threshold and a lower limit threshold, and counting the sum of the access times and the click times of the user in real time;

if the sum of the access times and the click times of the user is greater than an upper limit threshold value, the user is judged to be a high-frequency user;

if the sum of the access times and the click times of the user is less than a lower limit threshold, judging the user to be a low-frequency user;

and if the sum of the access times and the click times of the user is greater than the lower limit data threshold and less than the upper limit threshold, judging the user to be an intermediate frequency user.

Further, the step of generating the attribute group ID by combining the variables of the plurality of dimensions specifically includes:

obtaining variables of the multiple dimensions;

acquiring an attribute label corresponding to each variable;

acquiring an attribute value corresponding to each variable under each attribute label to obtain a corresponding ID;

and combining the corresponding IDs to generate an attribute group ID.

Further, after the step of combining the variables of the plurality of dimensions to generate the property group ID, the method further includes:

storing the property group ID in a blockchain.

In order to solve the above technical problem, an embodiment of the present application further provides a page monitoring device, where a combination module is used to combine variables of multiple dimensions to generate an attribute group ID;

the configuration module is used for configuring the page corresponding to the attribute group ID with a corresponding embedded point attribute group ID;

the acquisition module is used for acquiring the buried point attribute corresponding to the buried point attribute group ID when monitoring that a user triggers an access event and/or a click event;

the storage module is used for storing the buried point attribute to a Json file;

and the reporting module is used for reporting the Json file.

Furthermore, the configuration module comprises an identification submodule, a target channel acquisition submodule, a page information acquisition submodule and a buried point array ID acquisition submodule.

The identification submodule is used for identifying the components of the attribute group ID;

the target channel acquisition submodule is used for acquiring a plurality of primary channels and a plurality of secondary channels corresponding to the attribute group ID to obtain a plurality of target channels if the attribute group ID component comprises a plurality of primary channels and a plurality of secondary channels;

the page information acquisition submodule is used for acquiring information in the user access page or the click page to obtain page information;

and the embedded point array ID acquisition submodule is used for acquiring the primary channel and the secondary channel in the target channels from the page information to obtain the embedded point attribute array ID.

In other embodiments of the present application, the configuration module includes a presetting submodule, a monitoring submodule, a user information obtaining submodule, and a buried point attribute group ID setting submodule.

the preset submodule is used for acquiring a preset code node corresponding to the business process if the attribute group ID component comprises a preset code node corresponding to the business process;

the monitoring submodule is used for reading the information of the business link through the preset code node after monitoring that a user enters the business link;

the user information acquisition submodule is used for acquiring user identity information according to the identity ID, the equipment ID and the Internet protocol IP address of the user;

and the buried point attribute group ID setting submodule is used for taking the information of the business link and the user identity information as a buried point attribute group ID.

Furthermore, the page monitoring device further comprises a maximum threshold acquisition sub-module, a statistics sub-module and an uploading sub-module.

The maximum threshold value obtaining submodule is used for obtaining a maximum uploading threshold value N;

the statistic submodule is used for counting the number of the ID of the buried point attribute group;

the uploading sub-module is used for uploading the embedded point attribute group ID in a sendBeacon mode when the embedded point attribute group ID is larger than N;

Furthermore, the page monitoring also comprises a setting sub-module and a user judgment sub-module.

The setting submodule is used for setting an upper limit threshold and a lower limit threshold and counting the sum of the access times and the click times of the user in real time;

the user judgment submodule is used for judging the user as a high-frequency user if the sum of the access times and the click times of the user is greater than an upper limit threshold;

The combination module further comprises a variable acquisition submodule, an attribute tag acquisition submodule, an ID acquisition module submodule and an attribute group generation module submodule.

The variable acquisition submodule is used for acquiring the variables of the multiple dimensions;

the attribute tag obtaining submodule is used for obtaining an attribute tag corresponding to each variable;

the ID acquisition module is used for acquiring the attribute value of each variable corresponding to each attribute label to obtain a corresponding ID;

and the attribute group generation module is used for combining the corresponding IDs to generate an attribute group ID.

Further, the page monitoring device further includes a block chain module, where the block chain module includes a block chain sub-module, and is configured to: storing the property group ID in a blockchain.

In order to solve the above technical problem, an embodiment of the present application further provides a computer device, which adopts the following technical solutions:

a computer device comprising at least one connected processor, a memory, and an input/output unit, wherein the memory is used for storing computer readable instructions, and the processor is used for calling the computer readable instructions in the memory to execute the steps of the page snooping method.

In order to solve the above technical problem, an embodiment of the present application further provides a computer-readable storage medium, which adopts the following technical solutions:

a computer readable storage medium, having computer readable instructions stored thereon, which when executed by a processor implement the steps of the page monitoring method described above.

Compared with the prior art, the embodiment of the application mainly has the following beneficial effects:

the method and the device monitor the user behavior on the medical system page, analyze the user behavior, externally configure the attribute group ID, and quickly acquire the directional buried point data based on the attribute group ID. Data embedding points do not need to be obtained for multiple times; the data reporting performance of the buried point is improved, and the page function access of the medical system is not interfered. By the method, the medical data acquisition cost is saved, and the efficient data acquisition capability of the medical health platform is guaranteed.

Drawings

In order to more clearly illustrate the solution of the present application, the drawings needed for describing the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.

FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;

FIG. 2 is a flow diagram of one embodiment of a page listening method according to the present application;

FIG. 3 is a schematic structural diagram of one embodiment of a page monitoring apparatus according to the present application;

FIG. 4 is a schematic block diagram of one embodiment of a computer device according to the present application.

Detailed Description

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "including" and "having," and any variations thereof, in the description and claims of this application and the description of the above figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of this application or in the above-described drawings are used for distinguishing between different objects and not for describing a particular order.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

As shown in fig. 1, the system architecture 100 may include

terminal devices

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

terminal devices

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

The user may use the

terminal devices

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

terminal devices

101, 102, 103 may have various communication client applications installed thereon, such as a web browser application, a shopping application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like.

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture experts Group Audio Layer III, mpeg compression standard Audio Layer 3), MP4 players (Moving Picture experts Group Audio Layer IV, mpeg compression standard Audio Layer 4), laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the

terminal devices

101, 102, 103.

It should be noted that the page monitoring method provided in the embodiment of the present application is generally executed by a server/terminal device, and accordingly, the page monitoring apparatus is generally disposed in the server/terminal device.

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

With continuing reference to FIG. 2, a flow diagram of one embodiment of a method of page listening according to the present application is shown. The page monitoring method comprises the following steps:

step 201, combining variables of multiple dimensions to generate an attribute group ID.

In this embodiment, the electronic device (for example, the server/terminal device shown in fig. 1) on which the page monitoring method operates may receive a user request through a wired connection manner or a wireless connection manner, and perform calibration. It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future.

In this implementation, the variables at least include a plurality of primary channels, a plurality of secondary channels corresponding to the primary channels, and a preset code node corresponding to the business process. For example, it is necessary to monitor a scene that a user reports to a good owner App buried point by using a first page primary channel hcz, and the scene is combined to HCZ 00X.

Step 202, configuring the page corresponding to the attribute group ID with the corresponding buried point attribute group ID

In the embodiment, the user behavior can be better analyzed and the user classification can be better carried out. When monitoring the user usage duration T and the usage times X, for example, the corresponding serial numbers of the good owner pages are 001 and 002, and the usage duration and times in the good owner pages are monitored, the good owner pages are combined into an attribute group ID: HCZ001, HCZ 002.

Step 203, when a user trigger access event and/or a click event is monitored, acquiring a buried point attribute corresponding to the buried point attribute group ID.

In this embodiment, the access event is access to page data, and the click event is an operation behavior of the user in the page. The behavior of the user is monitored by monitoring the operation of the user on the page. Because one webpage or APP has a plurality of pages or sub-pages, all behaviors of a user are analyzed, the requirement on the workload of a programmer for writing codes is high, and the performance requirement of the server is high due to the fact that the number of pages to be monitored is too large, and the problem of high cost for obtaining the embedded point attribute is caused. Therefore, the relation between each monitoring attribute and each page is analyzed by analyzing historical user behavior data, and one or more pages positively or negatively correlated to the monitoring attribute are selected as monitored pages to obtain the buried point attribute of the user.

And step 204, storing the buried point attribute to a Json file.

In this embodiment, the burdened point attribute information is saved by a Json file

And step 205, reporting the Json file.

The method and the device have the advantages that the behavior of the user is monitored, the behavior of the user is analyzed, the attribute group ID is configured on the outside, and the directional buried point data is quickly obtained based on the attribute group ID. Data embedding points do not need to be obtained for multiple times; the data reporting performance of the buried point is improved, and the page function access is not interfered. The data acquisition cost is saved by the method.

In some optional implementation manners, the step of configuring the page corresponding to the attribute group ID with a corresponding embedded point specifically includes:

identifying components of the property group ID;

In the above embodiment, for example, the window navigator user agent HCZ reads that the reporting channel is a good owner's mobile phone software (App), obtains a primary channel specifically operated by the user, obtains a secondary channel page used by the user in the primary channel, for example, a page for purchasing, insurance, and the like, counts the number of times that the user accesses each secondary channel page and the time of using the primary channel, and configures the information into a Json file. User behavior can be better analyzed and user classification can be better made.

In some optional implementation manners, the step of configuring the page corresponding to the attribute group ID with the corresponding buried point attribute group ID specifically includes:

identifying components of the property group ID;

In the above embodiment, a plurality of process nodes are set, for example, a good owner APP is taken as an example, links such as purchasing, information filling, purchasing and searching are provided, when a user enters a certain process node, information of the user is identified, after it is confirmed that the user information is correct, the use duration of the user on each page is counted, and corresponding user information and information of each node are configured to a Json file. User behavior can be better analyzed and user classification can be better made.

In some optional implementations, after the step of configuring the page corresponding to the attribute group ID with the corresponding buried point attribute identifier, the method further includes:

acquiring a maximum uploading threshold value N;

counting the number of the ID of the buried point attribute group;

In the foregoing embodiment, when the number of the buried point attribute identifiers in the Json file is less than or equal to N, the buried point attribute identifiers are directly uploaded. By controlling the uploading amount of the users according to the performance of the server, the phenomenon that the server is overloaded and further crashes due to the fact that too many users upload too many files at one time is prevented. The sendBeacon method is primarily used to meet the needs of statistical and diagnostic codes, which typically attempt to send data to a web server before offloading (unloads) documents. Sending data too early may result in missing opportunities to collect data. However, it has been difficult for developers to ensure that data is sent during document uninstall. Because the user agent typically ignores asynchronism that occurs in the unload event handler, uploading the file using the sendBeacon method ensures that data is delivered efficiently and does not block the unloading or loading of the page, and coding is simpler than that described above. The page monitoring method and the server upload the page monitoring information to the server in the mode and tell the server which pages to monitor specifically.

In some optional implementation manners, after the step of acquiring the buried point attribute corresponding to the buried point attribute group ID when the access event and the click event triggered by the user are monitored, the method further includes:

In the embodiment, the user conditions are distinguished by distinguishing the use conditions of different users for the software, so that a foundation is provided for recommending different products to different users subsequently, and a better sales strategy can be achieved. For example, the frequency 20 is used as an upper threshold, 2 times is used as a lower threshold, a high frequency user is used for more than 20 times, a low frequency user is used for less than 2 times, a medium frequency user is used between 2 times and 20 times, the specific upper threshold and the specific lower threshold are not limited in the present application, and specific adjustment is performed according to an actual scene.

In some optional implementations, the step of generating the property group ID by combining variables of multiple dimensions specifically includes:

obtaining variables of the multiple dimensions;

acquiring an attribute label corresponding to each variable;

and combining the corresponding IDs to generate an attribute group ID.

In the above embodiment, the data fetcher confirms the attribute identification parameters according to the data requirements, and determines a unique logic value according to the identification ID in each attribute category, for example, a primary channel hcz corresponds to a reporting scene of the embedding point at the good owner App embedding point, a secondary channel subChannel 01 corresponds to a certain entry of the claim center page of the embedding point at the good owner App, and the logic value data automatically synchronizes the data platform. And after the number-taking aperture logical combination is selected, generating a unique attribute group ID numerical value according to each unique attribute numerical value, wherein the attribute group ID numerical value meets the letter combination and number combination naming rule under a certain scene so as to confirm the unique mapping relation and the scene classification principle. If the attribute group ID in the case of filing is named report00001, it is convenient to classify the data in the following. The ID configuration method may specifically be that a corresponding name is defined for each primary channel, for example, a good owner is HCZ, a report scenario is report, an xth secondary channel under the primary channel where the good owner is located is HCZ00X, and for example, an xth secondary channel under the primary channel where the report scenario is located is report 0000X.

In some optional implementations, after the step of combining the variables of the multiple dimensions to generate the property group ID, the method further includes:

storing the property group ID in a blockchain.

It is emphasized that the attribute group ID may also be stored in a node of a block chain in order to further ensure privacy and security of the service data.

The block chain referred by the application is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware associated with computer readable instructions, which can be stored in a computer readable storage medium, and when executed, the processes of the embodiments of the methods described above can be included. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a Random Access Memory (RAM).

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

With further reference to fig. 3, as an implementation of the method shown in fig. 2, the present application provides an embodiment of a page monitoring apparatus, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied to various electronic devices.

As shown in fig. 3, the page monitoring apparatus 300 according to this embodiment includes: the device comprises a combination module 301, a configuration module 302, an acquisition module 303, a storage module 304 and a reporting module 305. Wherein:

the combination module 301 is configured to combine variables of multiple dimensions to generate an attribute group identifier ID;

the configuration module 302 is configured to configure the page corresponding to the attribute group ID with the corresponding embedded point attribute identifier;

the obtaining module 303 is configured to obtain a buried point attribute corresponding to the buried point attribute group ID when monitoring a user trigger access event and a click event;

the storage module 304 is configured to store the updated buried point attribute to a Json file;

the reporting module 305 is configured to report the Json file.

In order to solve the technical problem, an embodiment of the present application further provides a computer device. Referring to fig. 4, fig. 4 is a block diagram of a basic structure of a computer device according to the present embodiment.

The computer device 4 comprises a memory 41, a processor 42, a network interface 43 communicatively connected to each other via a system bus. It is noted that only computer device 4 having components 41-43 is shown, but it is understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead. As will be understood by those skilled in the art, the computer device is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.

The computer device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The computer equipment can carry out man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch panel or voice control equipment and the like.

The memory 41 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 41 may be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the computer device 6. Of course, the memory 41 may also include both internal and external storage devices of the computer device 4. In this embodiment, the memory 41 is generally used for storing an operating system installed in the computer device 4 and various application software, such as computer readable instructions of a page monitoring method. Further, the memory 41 may also be used to temporarily store various types of data that have been output or are to be output.

The processor 42 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 42 is typically used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is configured to execute computer readable instructions stored in the memory 41 or process data, for example, execute computer readable instructions of the page snooping method.

The network interface 43 may comprise a wireless network interface or a wired network interface, and the network interface 43 is generally used for establishing communication connection between the computer device 4 and other electronic devices.

The present application further provides another embodiment, which is to provide a computer-readable storage medium storing computer-readable instructions executable by at least one processor to cause the at least one processor to perform the steps of the page listening method as described above.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.

It is to be understood that the above-described embodiments are merely illustrative of some, but not restrictive, of the broad invention, and that the appended drawings illustrate preferred embodiments of the invention and do not limit the scope of the invention. This application is capable of embodiments in many different forms and is provided for the purpose of enabling a thorough understanding of the disclosure of the application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.

Claims

1. A page monitoring method is characterized by comprising the following steps:

combining variables of multiple dimensions to generate an attribute group ID;

saving the buried point attribute to a Json file;

and reporting the Json file.

2. The page monitoring method according to claim 1, wherein the step of configuring the page corresponding to the attribute group ID with the corresponding embedded point attribute specifically comprises:

identifying components of the property group ID;

3. The page monitoring method according to claim 2, wherein the step of configuring the page corresponding to the attribute group ID with the corresponding buried point attribute group ID specifically comprises:

identifying components of the property group ID;

and taking the information of the business link and the user identity information as the ID of the buried point attribute group.

4. The page monitoring method according to claim 3, wherein after the step of configuring the page corresponding to the attribute group ID with the corresponding buried-point attribute group ID, the method further comprises:

acquiring a maximum uploading threshold value N;

counting the number of the ID of the buried point attribute group;

5. The page monitoring method according to claim 4, wherein the step of acquiring the buried point attribute corresponding to the buried point attribute group ID when monitoring the user triggered access event and click event further comprises:

6. The page sensing method according to any one of claims 1 to 5, wherein the step of generating the attribute group ID by combining variables of a plurality of dimensions specifically comprises:

obtaining variables of the multiple dimensions;

acquiring an attribute label corresponding to each variable;

and combining the corresponding IDs to generate the attribute group ID.

7. The page sensing method according to claim 6, wherein after the step of generating the attribute group ID by combining the variables of the plurality of dimensions, the method further comprises:

storing the property group ID in a blockchain.

8. A page snoop device, comprising:

the combination module is used for combining the variables of the multiple dimensions to generate an attribute group ID;

and the reporting module is used for reporting the Json file.

9. A computer device comprising a memory having computer readable instructions stored therein and a processor which when executed implements the steps of the page listening method of any one of claims 1 to 7.

10. A computer-readable storage medium, having computer-readable instructions stored thereon, which, when executed by a processor, implement the steps of the page listening method according to any one of claims 1 to 7.