CN117349550A - Buried data acquisition method and device, computer equipment and storage medium - Google Patents
Buried data acquisition method and device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN117349550A CN117349550A CN202311305245.0A CN202311305245A CN117349550A CN 117349550 A CN117349550 A CN 117349550A CN 202311305245 A CN202311305245 A CN 202311305245A CN 117349550 A CN117349550 A CN 117349550A
- Authority
- CN
- China
- Prior art keywords
- data
- link
- jump
- shelf product
- client
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000004590 computer program Methods 0.000 claims description 26
- 230000006835 compression Effects 0.000 claims description 7
- 238000007906 compression Methods 0.000 claims description 7
- 230000004044 response Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 230000007246 mechanism Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- 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
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
- G06F16/9558—Details of hyperlinks; Management of linked annotations
-
- 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
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to a buried point data acquisition method, a buried point data acquisition device, computer equipment and a storage medium, wherein the buried point data acquisition method comprises the steps of acquiring a proxy link of a server, wherein buried point parameters, jump parameters and a server address are packaged in the proxy link; sending the agent link and the goods shelf product data to a client, and the client renders the goods shelf product on a page according to the goods shelf product data and binds the agent link with the goods shelf product; receiving a detail information acquisition request of a goods shelf product initiated by a client based on the proxy link, and obtaining buried point data and jump parameters corresponding to the buried point parameters according to the proxy link and the detail information acquisition request; and feeding back a third-party jump link to the client based on the jump parameter, so that the client accesses a corresponding third-party system through the third-party jump link to obtain the detailed information of the shelf product. According to the embedded point data acquisition method, the embedded point data of the goods shelf products are acquired through the server, the loss of the embedded point data caused by the problem of the client is avoided, and the embedded point data acquisition efficiency can be improved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and apparatus for acquiring embedded point data, a computer device, and a storage medium.
Background
For similar user-based diversion services, third party products are often presented to users based on shelf form, and different resource locations present different shelf products. Typically, the embedded point is clicked by a user to analyze the actual benefits and user effects of different shelf products at different resource positions. Whereas the traditional buried point implementation mode:
1. and the server returns the shelf product data and the skip link, and the user clicks the skip to the third-party link.
2. The client renders and records the buried point data clicked by the user, and the buried points of the user behaviors are uniformly reported by the client.
3. If the embedded point is updated, the client development is required to carry out coding development concurrent edition.
The traditional buried point implementation has the following defects: the edition sending of the client is uncontrollable; the version updating period of the client is long; the client code has new and old version differences; client buried data delay and loss problems. Therefore, the acquisition and uploading of the embedded point data of the shelf products are realized depending on the client, so that the efficiency of acquiring the embedded point data is low, and the embedded point data may be lost.
Disclosure of Invention
Based on the foregoing, it is necessary to provide a method, an apparatus, a computer device and a storage medium for obtaining buried point data of a shelf product through a server, without depending on active acquisition and data uploading of a client, so as to avoid the loss of the buried point data caused by the client problem and improve the efficiency of buried point data obtaining.
A buried data acquisition method is applied to a server and comprises the following steps: acquiring a proxy link of a server, wherein the proxy link is encapsulated with a buried point parameter, a jump parameter and a server address; sending the agent link and the goods shelf product data to a client, and the client renders the goods shelf product on a page according to the goods shelf product data and binds the agent link with the goods shelf product; receiving a detail information acquisition request of a goods shelf product initiated by a client based on the proxy link, and obtaining buried point data and jump parameters corresponding to the buried point parameters according to the proxy link and the detail information acquisition request; and feeding back a third-party jump link to the client based on the jump parameter, so that the client accesses a corresponding third-party system through the third-party jump link to obtain the detailed information of the shelf product.
In one embodiment, the embedded point parameters include service parameters and user parameters, and the embedded point data and the jump parameters corresponding to the embedded point parameters are obtained according to the proxy link and the detail information acquisition request, including: analyzing service data corresponding to the service parameters and user data corresponding to the user parameters from the detail information acquisition request; determining a jump parameter based on the proxy link; the embedded data comprises business data, user data and user click operation data.
In one embodiment, the client acquires user data and service data of the shelf product when the user clicks the shelf product, encapsulates the user data and the service data of the shelf product into a detail information acquisition request, and sends the detail information acquisition request to the server based on the proxy link.
In one embodiment, the shelf products are multiple, the proxy links of the server are multiple, and each proxy link is associated with a corresponding shelf product; the buried data acquisition method further comprises the following steps: and acquiring user click operation data of any shelf product in the statistical period, and determining the browsing amount of any shelf product according to the user click operation data of any shelf product in the statistical period.
In one embodiment, a method for acquiring buried data further includes: acquiring a unique identifier of a third-party jump link according to the shelf product data, and determining a jump parameter according to the unique identifier of the third-party jump link; acquiring a server address, and determining a server link according to the server address; acquiring buried point parameters corresponding to the product data of the goods shelf; splicing the embedded point parameter and the jump parameter to a server link to obtain a proxy link.
In one embodiment, a method for acquiring buried data further includes: identifying product information of the shipment shelf product according to the shelf product data; determining a data statistics dimension according to the product information; and determining buried point parameters corresponding to the shelf product data according to the data statistics dimension.
In one embodiment, determining the jump parameter from the unique identification of the third party jump link includes: taking the unique identification of the third party jump link as a jump parameter; or encrypting the unique identifier of the third-party jump link according to a first preset encryption algorithm to obtain an encrypted identifier, and taking the encrypted identifier as a jump parameter; splicing the embedded point parameter and the jump parameter to a server link, comprising: assembling the buried point parameters and the jump parameters according to a preset format to obtain assembled data; encrypting the assembly data according to a second preset encryption algorithm to obtain encrypted assembly data; compressing the encrypted assembly data according to a set compression algorithm to obtain compressed data; splicing the compressed data to the server link.
A buried data acquisition device is applied to a server and comprises: the first acquisition module is used for acquiring the proxy link of the server, wherein the proxy link is encapsulated with the embedded point parameter, the jump parameter and the server address; the first sending module is used for sending the agent link and the goods shelf product data to the client, and the client renders the goods shelf product on a page according to the goods shelf product data and binds the agent link with the goods shelf product; the second acquisition module is used for receiving a detail information acquisition request of the goods shelf product initiated by the client based on the proxy link and acquiring buried point data and jump parameters corresponding to the buried point parameters according to the proxy link and the detail information acquisition request; and the second sending module is used for feeding back a third-party jump link to the client based on the jump parameter, so that the client accesses a corresponding third-party system through the third-party jump link to obtain the detailed information of the shelf product.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any of the methods of the embodiments 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 performs the steps of the method of any of the embodiments described above.
The buried point data acquisition method, the buried point data acquisition device, the computer equipment and the storage medium acquire the proxy link of the server, and the buried point parameters, the jump parameters and the server address are packaged in the proxy link; sending the agent link and the goods shelf product data to a client, and the client renders the goods shelf product on a page according to the goods shelf product data and binds the agent link with the goods shelf product; receiving a detail information acquisition request of a goods shelf product initiated by a client based on the proxy link, and obtaining buried point data and jump parameters corresponding to the buried point parameters according to the proxy link and the detail information acquisition request; and feeding back a third-party jump link to the client based on the jump parameter, so that the client accesses a corresponding third-party system through the third-party jump link to obtain the detailed information of the shelf product.
Therefore, the embedded point data can be accurately obtained at the server side by bypassing the client side in a proxy link mode. Secondly, the embedded point is not upgraded depending on the version of the client, so that the problem of compatibility of the client with new and old versions is solved, the effectiveness is higher, and the embedded point data is obtained more comprehensively.
Drawings
FIG. 1 is an application environment diagram of a buried data acquisition method in one embodiment;
FIG. 2 is a flow chart of a method for acquiring buried data according to an embodiment;
FIG. 3 is a diagram illustrating data interactions between nodes when implementing a buried data acquisition method according to an embodiment;
FIG. 4 is a block diagram of a buried data acquisition device in one embodiment;
fig. 5 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 buried data acquisition method provided by the application is applied to an application environment shown in fig. 1. As shown in fig. 1, a server 100 is used to implement a method for obtaining buried data in the present application. Specifically, the server 100 obtains a proxy link of the server 100, encapsulates the embedded point parameter, the jump parameter and the server address in the proxy link, and sends the proxy link and the shelf product data to the client 200. The client 200 renders the shipment of the shelf product on the page according to the shelf product data and binds the proxy link to the shelf product. The user clicks on the shelf product on the page of the client 200. The client 200 obtains a request for acquiring detailed information of the shelf product, which is initiated to the server 100, based on the proxy link of the shelf product. The server 100 obtains the embedded point data and the jump parameter corresponding to the embedded point parameter according to the agent link and the detail information obtaining request, and feeds back the third party jump link to the client 200 based on the jump parameter, so that the client 200 accesses the corresponding third party system through the third party jump link to obtain the detail information of the shelf product.
In one embodiment, as shown in fig. 2, a method for obtaining buried data is provided, and the method is applied to the server 100 in fig. 1 for illustration, and includes the following steps:
s202, acquiring a proxy link of the server, wherein the proxy link is encapsulated with a buried point parameter, a jump parameter and a server address.
In this embodiment, the proxy link includes a proxy service address and a unique identifier of the real link. Specifically, the proxy link is encapsulated with a buried point parameter, a jump parameter and a server address. The server address is used for identifying the server, the jump parameter is used for indicating a third party system pointed by the jump, and the buried point parameter is used for indicating the type of buried point data to be recorded.
In one embodiment, before the step S202, that is, before the step of obtaining the proxy link of the server, the method further includes: acquiring a unique identifier of a third-party jump link according to the shelf product data, and determining a jump parameter according to the unique identifier of the third-party jump link; acquiring a server address, and determining a server link according to the server address; acquiring buried point parameters corresponding to the product data of the goods shelf; splicing the embedded point parameter and the jump parameter to a server link to obtain a proxy link.
In an example, before the step of obtaining the buried point parameter corresponding to the shelf product data, the method further includes: identifying product information of the shipment shelf product according to the shelf product data; determining a data statistics dimension according to the product information; and determining buried point parameters corresponding to the shelf product data according to the data statistics dimension.
In one example, determining the jump parameter according to the unique identifier of the third party jump link includes: taking the unique identification of the third party jump link as a jump parameter; or encrypting the unique identifier of the third-party jump link according to a first preset encryption algorithm to obtain an encrypted identifier, and taking the encrypted identifier as a jump parameter; splicing the embedded point parameter and the jump parameter to the server link comprises the following steps: assembling the buried point parameters and the jump parameters according to a preset format to obtain assembled data; encrypting the assembly data according to a second preset encryption algorithm to obtain encrypted assembly data; compressing the encrypted assembly data according to a set compression algorithm to obtain compressed data; splicing the compressed data to the server link.
Specifically, the jump parameter is dynamic, may be a unique identifier of the third party jump link, or may be an encrypted parameter of the unique identifier of the third party jump link, which is not forcibly fixed, and may be set according to a specific implementation. When the server exposes the proxy link, the jump is mainly considered in terms of performance and safety, the buried point parameters determined by the data statistics dimension and the jump parameters of the real third-party jump link are spliced on the server link in an encryption and compression mode to obtain the proxy link, and the proxy link is transmitted to the client.
Therefore, the server can transmit the embedded point parameter and the jump parameter to the client in an encryption transmission mode, a third party link cannot be exposed, and the authority is controllable. In addition, the embedded point upgrade is controlled at the server, the client is noninductive, and the client with multiple versions can be supported.
And S204, sending the agent link and the goods shelf product data to a client, and rendering the goods shelf product on a page by the client according to the goods shelf product data and binding the agent link with the goods shelf product.
In this embodiment, shelf product data corresponding to the proxy link is obtained. The shelf product data includes image data and text data of the shelf product. The proxy link and shelf product data are sent to the client. And the client renders the goods shelf products on the page according to the goods shelf product data. For example, an image of the shelf product and a text description are rendered in the page. In addition, the client binds the rendered shelf product with its proxy link to make page jumps based on the proxy link when the user clicks on the shelf product.
S206, receiving a detail information acquisition request of the goods shelf product initiated by the client based on the proxy link, and obtaining buried point data and jump parameters corresponding to the buried point parameters according to the proxy link and the detail information acquisition request.
In this embodiment, the user may click on the shelf product displayed in the page of the client to request to acquire the detailed information of the shelf product. The client side obtains the request for acquiring the detailed information of the goods shelf product based on the agency link. Specifically, the proxy link is encapsulated with a buried point parameter, a jump parameter and a server address. The client can identify the corresponding server through the server address in the proxy link, and further accurately send the detail information acquisition request to the server. The server analyzes the corresponding buried point data from the detail information acquisition request based on the buried point parameters in the proxy link, and records the buried point data. Therefore, buried point data can be obtained by self without depending on a client, the upgrading of the buried point is not dependent on the upgrading of a client version, the problem of client compatibility of new and old versions is avoided, the effectiveness is higher, and the buried point data is obtained more comprehensively.
In one embodiment, the embedded point parameters include service parameters and user parameters, and the obtaining the embedded point data and the jump parameters corresponding to the embedded point parameters according to the proxy link and the detail information acquisition request includes: analyzing service data corresponding to the service parameters and user data corresponding to the user parameters from the detail information acquisition request; determining a jump parameter based on the proxy link; the embedded data comprises business data, user data and user click operation data.
The client acquires user data and service data of the goods shelf products when the user clicks the goods shelf products, packages the user data and the service data of the goods shelf products into a detail information acquisition request, and sends the detail information acquisition request to the server based on proxy links.
Specifically, when a user clicks a shelf product, the client acquires user data and service data of the shelf product, packages the user data and the service data of the shelf product into a detail information acquisition request, so that the background can verify the user identity of the client based on the user data in the detail information acquisition request, and feeds back the detail information of the corresponding shelf product to the client based on the service data of the shelf product. Since the client triggers the proxy link, the detail information acquisition request sent by the client will jump to the server.
The server side analyzes the service data corresponding to the service parameters and the user data corresponding to the user parameters from the detail information acquisition request. The business data comprises product related data of shelf products, and the user data comprises user names, account numbers and the like. The embedded data comprises business data and user data, and also comprises user click operation data. The user click operation data is obtained through the click operation of the client user and is used for recording the click operation of the user on the goods shelf products rendered by the client. Therefore, the service end can collect click operation information of the front end user on the goods shelf products through the service data, the user data and the user click operation data of the goods shelf products. Further, the jump parameter is determined by proxy linking.
In one embodiment, the shelf products are a plurality of, the agent links of the server are a plurality of, and each agent link is associated with a corresponding shelf product; after the step of parsing the service data corresponding to the service parameter and the user data corresponding to the user parameter from the detail information obtaining request, the method further includes: and acquiring user click operation data of any shelf product in the statistical period, and determining the browsing amount of any shelf product according to the user click operation data of any shelf product in the statistical period.
Specifically, the shelf products are multiple, the proxy links of the server are multiple, and each proxy link is associated with a corresponding shelf product. Thus, the client renders a plurality of shelf products, and the user can select and click any one of the shelf products. The server side can directly determine the browsing amount of any shelf product in the period by counting the user click operation data of any shelf product in the period. Therefore, the browsing amount is counted by the server side, and the counted amount is more flexible.
And S208, feeding back a third-party jump link to the client based on the jump parameter, so that the client accesses a corresponding third-party system through the third-party jump link to obtain the detailed information of the shelf product.
In this embodiment, the server determines the third party jump link, that is, the real link corresponding to the original shelf product, based on the jump parameters in the proxy link. The server sends the third party jump link to the client. Specifically, the http-based redirection protocol mechanism returns a response to the third party jump link to the client. After receiving the response of the redirection protocol, the client immediately loads the detailed information of the goods shelf products based on a new uniform resource positioning system, namely a third party jump link, in the response. Thus, the client can be provided with the detailed information of the shelf product through the third party jump link. Is unaware to the user of the client and thus does not conflict with the functional implementation of the client and the product experience.
According to the buried point data acquisition method, the proxy link of the server is acquired, and buried point parameters, jump parameters and server addresses are packaged in the proxy link; sending the agent link and the goods shelf product data to a client, and the client renders the goods shelf product on a page according to the goods shelf product data and binds the agent link with the goods shelf product; receiving a detail information acquisition request of a goods shelf product initiated by a client based on the proxy link, and obtaining buried point data and jump parameters corresponding to the buried point parameters according to the proxy link and the detail information acquisition request; and feeding back a third-party jump link to the client based on the jump parameter, so that the client accesses a corresponding third-party system through the third-party jump link to obtain the detailed information of the shelf product. Therefore, the embedded point data can be accurately obtained at the server side by bypassing the client side in a proxy link mode. Secondly, the embedded point is not upgraded depending on the version of the client, so that the problem of compatibility of the client with new and old versions is solved, the effectiveness is higher, and the embedded point data is obtained more comprehensively.
For the method for acquiring buried data in the foregoing embodiments, a specific application scenario is provided as shown in fig. 3:
1. and when the server exposes the shelf products, the real links of the shelf products are replaced by proxy links of the server. The jump parameter and the buried point parameter are assembled, encrypted and compressed in advance and then spliced into the proxy link.
2. The user clicks the product, and the client jumps to the server through the proxy link. The server decompresses, decrypts and analyzes parameters of the request information initiated by the client.
3. And the server reports the embedded point data of the product clicked by the user to the embedded point system and forwards the third-party jump link to the client. After the server records the embedded point data, a response containing the third-party jump link is returned based on the http redirection protocol mechanism. The state code of the redirect response of the http redirect protocol mechanism is 3xx. When the client receives the redirection response, the client immediately loads the goods shelf product information by adopting a new URL provided by the response.
The traditional client embedded point is recorded by the client, and the embedded point system is reported after a certain data volume is cached. During this time the user may shut down the client's process, thus risking delayed reporting and loss of embedded point data. Secondly, the client is not friendly to the upgrading of the embedded point due to the problem of version generation.
According to the buried data acquisition method, the buried data can be accurately recorded at the server side by proxy link, encryption parameters and redirection technology, so that the buried data is safer for some sensitive data. Secondly, the embedded point is upgraded, the upgrading of the client version is not relied on, the compatibility problem of new and old versions is avoided, the effectiveness is higher, and the data is more comprehensive.
It should be understood that, although the steps in the flowchart 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 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 figures may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of other steps or other steps.
The application also provides a buried data acquisition device. As shown in fig. 4, a buried data obtaining apparatus, applied to a server, includes a first obtaining module 402, a first sending module 404, a second obtaining module 406, and a second sending module 408. A first obtaining module 402, configured to obtain a proxy link of the server, where a buried point parameter, a jump parameter, and a server address are encapsulated in the proxy link; the first sending module 404 is configured to send the proxy link and the shelf product data to the client, where the client renders the shelf product on a page according to the shelf product data and binds the proxy link and the shelf product; the second obtaining module 406 is configured to receive a request for obtaining detailed information of the shelf product initiated by the client based on the proxy link, and obtain buried point data and a jump parameter corresponding to the buried point parameter according to the proxy link and the request for obtaining detailed information; the second sending module 408 is configured to feed back a third party jump link to the client based on the jump parameter, so that the client accesses the corresponding third party system through the third party jump link to obtain the detailed information of the shelf product.
In one embodiment, the embedded point parameters include service parameters and user parameters, and the embedded point data and the jump parameters corresponding to the embedded point parameters are obtained according to the proxy link and the detail information acquisition request, including: analyzing service data corresponding to the service parameters and user data corresponding to the user parameters from the detail information acquisition request; determining a jump parameter based on the proxy link; the embedded data comprises business data, user data and user click operation data.
In one embodiment, the client acquires user data and service data of the shelf product when the user clicks the shelf product, encapsulates the user data and the service data of the shelf product into a detail information acquisition request, and sends the detail information acquisition request to the server based on the proxy link.
In one embodiment, the shelf products are multiple, the proxy links of the server are multiple, and each proxy link is associated with a corresponding shelf product; the buried point data acquisition device further comprises a statistics module, wherein the statistics module is used for acquiring user click operation data of any goods shelf product in a statistics period, and determining the browsing amount of any goods shelf product according to the user click operation data of any goods shelf product in the statistics period.
In one embodiment, the buried point data acquisition device further comprises a splicing module, wherein the splicing module is used for acquiring the unique identifier of the third-party jump link according to the shelf product data, and determining the jump parameter according to the unique identifier of the third-party jump link; acquiring a server address, and determining a server link according to the server address; acquiring buried point parameters corresponding to the product data of the goods shelf; splicing the embedded point parameter and the jump parameter to a server link to obtain a proxy link.
In one embodiment, the buried point data acquisition device further comprises a determining module for identifying product information of the shipment shelf product according to the shelf product data; determining a data statistics dimension according to the product information; and determining buried point parameters corresponding to the shelf product data according to the data statistics dimension.
In one embodiment, determining the jump parameter from the unique identification of the third party jump link includes: taking the unique identification of the third party jump link as a jump parameter; or encrypting the unique identifier of the third-party jump link according to a first preset encryption algorithm to obtain an encrypted identifier, and taking the encrypted identifier as a jump parameter; splicing the embedded point parameter and the jump parameter to a server link, comprising: assembling the buried point parameters and the jump parameters according to a preset format to obtain assembled data; encrypting the assembly data according to a second preset encryption algorithm to obtain encrypted assembly data; compressing the encrypted assembly data according to a set compression algorithm to obtain compressed data; splicing the compressed data to the server link.
For a specific limitation of a buried data acquisition device, reference is made to the limitation of a buried data acquisition method hereinabove, and no further description is given here. Each module in the above-described buried data acquisition device 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 supporting the operation of the server 100, and the internal structure diagram thereof may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. 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 network interface of the computer device is used for data interaction with the client, etc. The computer program is executed by a processor to implement a buried data acquisition method as described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 5 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application is directed, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of when executing the computer program: acquiring a proxy link of a server, wherein the proxy link is encapsulated with a buried point parameter, a jump parameter and a server address; sending the agent link and the goods shelf product data to a client, and the client renders the goods shelf product on a page according to the goods shelf product data and binds the agent link with the goods shelf product; receiving a detail information acquisition request of a goods shelf product initiated by a client based on the proxy link, and obtaining buried point data and jump parameters corresponding to the buried point parameters according to the proxy link and the detail information acquisition request; and feeding back a third-party jump link to the client based on the jump parameter, so that the client accesses a corresponding third-party system through the third-party jump link to obtain the detailed information of the shelf product.
In one embodiment, the embedded point parameters include service parameters and user parameters, and when the processor executes the computer program to implement the above steps of obtaining the embedded point data and the jump parameters corresponding to the embedded point parameters according to the proxy link and the detail information acquisition request, the following steps are specifically implemented: analyzing service data corresponding to the service parameters and user data corresponding to the user parameters from the detail information acquisition request; determining a jump parameter based on the proxy link; the embedded data comprises business data, user data and user click operation data.
In one embodiment, the client acquires user data and service data of the shelf product when the user clicks the shelf product, encapsulates the user data and the service data of the shelf product into a detail information acquisition request, and sends the detail information acquisition request to the server based on the proxy link.
In one embodiment, the shelf products are multiple, the proxy links of the server are multiple, and each proxy link is associated with a corresponding shelf product; the processor when executing the computer program implements the steps of: and acquiring user click operation data of any shelf product in the statistical period, and determining the browsing amount of any shelf product according to the user click operation data of any shelf product in the statistical period.
In one embodiment, the processor, when executing the computer program, performs the steps of: acquiring a unique identifier of a third-party jump link according to the shelf product data, and determining a jump parameter according to the unique identifier of the third-party jump link; acquiring a server address, and determining a server link according to the server address; acquiring buried point parameters corresponding to the product data of the goods shelf; splicing the embedded point parameter and the jump parameter to a server link to obtain a proxy link.
In one embodiment, the processor, when executing the computer program, performs the steps of: identifying product information of the shipment shelf product according to the shelf product data; determining a data statistics dimension according to the product information; and determining buried point parameters corresponding to the shelf product data according to the data statistics dimension.
In one embodiment, when the processor executes the computer program to implement the step of determining the jump parameter according to the unique identifier of the third party jump link, the following steps are specifically implemented: taking the unique identification of the third party jump link as a jump parameter; or encrypting the unique identifier of the third-party jump link according to a first preset encryption algorithm to obtain an encrypted identifier, and taking the encrypted identifier as a jump parameter; when the processor executes the computer program to realize the step of splicing the embedded point parameter and the jump parameter to the link of the server, the following steps are specifically realized: assembling the buried point parameters and the jump parameters according to a preset format to obtain assembled data; encrypting the assembly data according to a second preset encryption algorithm to obtain encrypted assembly data; compressing the encrypted assembly data according to a set compression algorithm to obtain compressed data; splicing the compressed data to the server link.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring a proxy link of a server, wherein the proxy link is encapsulated with a buried point parameter, a jump parameter and a server address; sending the agent link and the goods shelf product data to a client, and the client renders the goods shelf product on a page according to the goods shelf product data and binds the agent link with the goods shelf product; receiving a detail information acquisition request of a goods shelf product initiated by a client based on the proxy link, and obtaining buried point data and jump parameters corresponding to the buried point parameters according to the proxy link and the detail information acquisition request; and feeding back a third-party jump link to the client based on the jump parameter, so that the client accesses a corresponding third-party system through the third-party jump link to obtain the detailed information of the shelf product.
In one embodiment, the embedded point parameters include service parameters and user parameters, and when the computer program is executed by the processor to implement the above steps of obtaining the embedded point data and the jump parameters corresponding to the embedded point parameters according to the proxy link and the detailed information acquisition request, the following steps are specifically implemented: analyzing service data corresponding to the service parameters and user data corresponding to the user parameters from the detail information acquisition request; determining a jump parameter based on the proxy link; the embedded data comprises business data, user data and user click operation data.
In one embodiment, the client acquires user data and service data of the shelf product when the user clicks the shelf product, encapsulates the user data and the service data of the shelf product into a detail information acquisition request, and sends the detail information acquisition request to the server based on the proxy link.
In one embodiment, the shelf products are multiple, the proxy links of the server are multiple, and each proxy link is associated with a corresponding shelf product; the computer program when executed by a processor performs the steps of: and acquiring user click operation data of any shelf product in the statistical period, and determining the browsing amount of any shelf product according to the user click operation data of any shelf product in the statistical period.
In one embodiment, the computer program when executed by a processor performs the steps of: acquiring a unique identifier of a third-party jump link according to the shelf product data, and determining a jump parameter according to the unique identifier of the third-party jump link; acquiring a server address, and determining a server link according to the server address; acquiring buried point parameters corresponding to the product data of the goods shelf; splicing the embedded point parameter and the jump parameter to a server link to obtain a proxy link.
In one embodiment, the computer program when executed by a processor performs the steps of: identifying product information of the shipment shelf product according to the shelf product data; determining a data statistics dimension according to the product information; and determining buried point parameters corresponding to the shelf product data according to the data statistics dimension.
In one embodiment, when the computer program is executed by the processor to implement the step of determining the jump parameter according to the unique identifier of the third party jump link, the following steps are specifically implemented: taking the unique identification of the third party jump link as a jump parameter; or encrypting the unique identifier of the third-party jump link according to a first preset encryption algorithm to obtain an encrypted identifier, and taking the encrypted identifier as a jump parameter; when the computer program is executed by the processor to realize the step of splicing the embedded point parameter and the jump parameter to the link of the server, the following steps are specifically realized: assembling the buried point parameters and the jump parameters according to a preset format to obtain assembled data; encrypting the assembly data according to a second preset encryption algorithm to obtain encrypted assembly data; compressing the encrypted assembly data according to a set compression algorithm to obtain compressed data; splicing the compressed data to the server link.
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, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
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 merely 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 invention. 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 is to be determined by the claims appended hereto.
Claims (10)
1. A method for obtaining buried data, which is applied to a server, the method comprising:
acquiring a proxy link of a server, wherein the proxy link is encapsulated with a buried point parameter, a jump parameter and a server address;
sending the agent link and the goods shelf product data to a client, wherein the client renders goods shelf products on pages according to the goods shelf product data and binds the agent link with the goods shelf products;
receiving a detail information acquisition request of the goods shelf product initiated by the client based on the proxy link, and obtaining buried point data corresponding to the buried point parameters and the jump parameters according to the proxy link and the detail information acquisition request;
and feeding back a third-party jump link to the client based on the jump parameter, so that the client accesses a corresponding third-party system through the third-party jump link to obtain the detail information of the goods shelf product.
2. The method according to claim 1, wherein the embedded point parameters include service parameters and user parameters, the obtaining the embedded point data and the jump parameters corresponding to the embedded point parameters according to the proxy link and the detail information obtaining request includes:
analyzing service data corresponding to the service parameters from the detail information acquisition request, and analyzing user data corresponding to the user parameters;
determining the jump parameter based on the proxy link;
the embedded data comprises the service data, the user data and user click operation data.
3. The method of claim 2, wherein the client obtains the user data and the business data of the shelf product when a user clicks on the shelf product, encapsulates the user data and the business data of the shelf product into a detail information obtaining request, and sends the detail information obtaining request to the server based on the proxy link.
4. The method of claim 3, wherein the shelf products are a plurality of, the server has a plurality of agent links, each agent link being associated with a corresponding shelf product;
the method further comprises the steps of:
and acquiring user click operation data of any goods shelf product in the statistical period, and determining the browsing amount of any goods shelf product according to the user click operation data of any goods shelf product in the statistical period.
5. The method according to claim 1, wherein the method further comprises:
acquiring the unique identifier of the third-party jump link according to the shelf product data, and determining the jump parameter according to the unique identifier of the third-party jump link;
acquiring the server address, and determining a server link according to the server address;
acquiring buried point parameters corresponding to the goods shelf product data;
and splicing the embedded point parameter and the jump parameter to the server-side link to obtain the proxy link.
6. The method of claim 5, wherein the method further comprises:
identifying product information of the shipment shelf product according to the shelf product data;
determining a data statistics dimension according to the product information;
and determining buried point parameters corresponding to the shelf product data according to the data statistics dimension.
7. The method of claim 5, wherein said determining the jump parameter from the unique identification of the third party jump link comprises:
taking the unique identification of the third party jump link as the jump parameter;
or encrypting the unique identifier of the third-party jump link according to a first preset encryption algorithm to obtain an encrypted identifier, and taking the encrypted identifier as the jump parameter;
the splicing the embedded point parameter and the jump parameter to the server link includes:
assembling the buried point parameters and the jump parameters according to a preset format to obtain assembly data;
encrypting the assembly data according to a second preset encryption algorithm to obtain encrypted assembly data;
compressing the encrypted assembly data according to a set compression algorithm to obtain compressed data;
splicing the compressed data to the server link.
8. A buried data acquisition device, characterized in that it is applied to a server, said device comprising:
the first acquisition module is used for acquiring a proxy link of the server, wherein the proxy link is encapsulated with a buried point parameter, a jump parameter and a server address;
the first sending module is used for sending the agent link and the goods shelf product data to a client, and the client renders goods shelf products on pages according to the goods shelf product data and binds the agent link with the goods shelf products;
the second acquisition module is used for receiving a detail information acquisition request of the goods shelf product initiated by the client based on the proxy link, and acquiring buried point data corresponding to the buried point parameters and the jump parameters according to the proxy link and the detail information acquisition request;
and the second sending module is used for feeding back a third-party jump link to the client based on the jump parameter, so that the client accesses a corresponding third-party system through the third-party jump link to obtain the detailed information of the goods shelf product.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 7 when the computer program is executed by the processor.
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 according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311305245.0A CN117349550A (en) | 2023-10-10 | 2023-10-10 | Buried data acquisition method and device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311305245.0A CN117349550A (en) | 2023-10-10 | 2023-10-10 | Buried data acquisition method and device, computer equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117349550A true CN117349550A (en) | 2024-01-05 |
Family
ID=89364443
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311305245.0A Pending CN117349550A (en) | 2023-10-10 | 2023-10-10 | Buried data acquisition method and device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117349550A (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002202990A (en) * | 2000-12-28 | 2002-07-19 | Baytech Systems Inc | Contents distribution support system |
| CN104820667A (en) * | 2014-09-15 | 2015-08-05 | 腾讯科技（北京）有限公司 | Method, device and system for reporting webpage click rate |
| US20160241664A1 (en) * | 2013-10-28 | 2016-08-18 | Huawei Technologies Co., Ltd. | Method, device, and system for redirecting data by using service proxy |
| CN107480177A (en) * | 2017-07-03 | 2017-12-15 | 深圳市金立通信设备有限公司 | A kind of webpage click amount statistical method and terminal |
| CN108427751A (en) * | 2018-03-13 | 2018-08-21 | 深圳乐信软件技术有限公司 | A kind of short chain connects jump method, device and electronic equipment |
| CN109597948A (en) * | 2018-10-17 | 2019-04-09 | 深圳壹账通智能科技有限公司 | Access method, system and the storage medium of URL link |
| CN111311294A (en) * | 2018-12-12 | 2020-06-19 | 北京京东尚科信息技术有限公司 | Data processing method, device, medium and electronic equipment |
| CN113095875A (en) * | 2021-04-06 | 2021-07-09 | 杭州数跑科技有限公司 | Message delivery effect statistical method and related device |
| CN113672957A (en) * | 2021-08-23 | 2021-11-19 | 平安国际智慧城市科技股份有限公司 | Method, device and equipment for processing buried point data and storage medium |
| CN115334154A (en) * | 2022-10-12 | 2022-11-11 | 阿里健康科技(杭州)有限公司 | Page access method and device, computer equipment and storage medium |
| CN116452257A (en) * | 2023-04-21 | 2023-07-18 | 广州百川数字信息技术有限公司 | Cross-platform E-commerce drainage advertisement delivery API system |
-
2023
- 2023-10-10 CN CN202311305245.0A patent/CN117349550A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002202990A (en) * | 2000-12-28 | 2002-07-19 | Baytech Systems Inc | Contents distribution support system |
| US20160241664A1 (en) * | 2013-10-28 | 2016-08-18 | Huawei Technologies Co., Ltd. | Method, device, and system for redirecting data by using service proxy |
| CN104820667A (en) * | 2014-09-15 | 2015-08-05 | 腾讯科技（北京）有限公司 | Method, device and system for reporting webpage click rate |
| CN107480177A (en) * | 2017-07-03 | 2017-12-15 | 深圳市金立通信设备有限公司 | A kind of webpage click amount statistical method and terminal |
| CN108427751A (en) * | 2018-03-13 | 2018-08-21 | 深圳乐信软件技术有限公司 | A kind of short chain connects jump method, device and electronic equipment |
| CN109597948A (en) * | 2018-10-17 | 2019-04-09 | 深圳壹账通智能科技有限公司 | Access method, system and the storage medium of URL link |
| CN111311294A (en) * | 2018-12-12 | 2020-06-19 | 北京京东尚科信息技术有限公司 | Data processing method, device, medium and electronic equipment |
| CN113095875A (en) * | 2021-04-06 | 2021-07-09 | 杭州数跑科技有限公司 | Message delivery effect statistical method and related device |
| CN113672957A (en) * | 2021-08-23 | 2021-11-19 | 平安国际智慧城市科技股份有限公司 | Method, device and equipment for processing buried point data and storage medium |
| CN115334154A (en) * | 2022-10-12 | 2022-11-11 | 阿里健康科技(杭州)有限公司 | Page access method and device, computer equipment and storage medium |
| CN116452257A (en) * | 2023-04-21 | 2023-07-18 | 广州百川数字信息技术有限公司 | Cross-platform E-commerce drainage advertisement delivery API system |
Non-Patent Citations (1)
| Title |
|---|
| 刘芳;袁健;: "Web3.0互联网盈利模式的设计与系统实现", 计算机工程与设计, no. 17, 16 September 2009 (2009-09-16) * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110688598B (en) | Service parameter acquisition method and device, computer equipment and storage medium | |
| US10887201B2 (en) | Method for automatically monitoring end-to-end end user performance and apparatus for performing the method | |
| CN111475376B (en) | Method, apparatus, computer device and storage medium for processing test data | |
| CN111159614B (en) | Webpage resource acquisition method and device | |
| CN110764700B (en) | Data storage method and device, computer equipment and storage medium | |
| CN104301443A (en) | Method and system for calling end capacity ports on web page | |
| CN112491659B (en) | Flow playback test method and device, computer equipment and storage medium | |
| CN112532490A (en) | Regression testing system and method and electronic equipment | |
| CN111885516A (en) | Multi-channel access short message configuration method and device, computer equipment and storage medium | |
| CN113268224B (en) | Jar packet caching method and device of Maven warehouse and computer equipment | |
| CN111124861A (en) | Recording method of webpage data, recording device of webpage data and readable storage medium | |
| CN113377668A (en) | Automatic testing method and device for service interface and computer equipment | |
| CN111311142A (en) | Customized real-time data efficient pushing method and system | |
| CN111580927B (en) | Communication method and container communication system | |
| CN113553088A (en) | Patch package distribution method and device, computer equipment and storage medium | |
| CN110190974A (en) | Present quotation data distributing method and device | |
| CN110119277A (en) | Data sharing method, device, computer equipment and storage medium | |
| CN117349550A (en) | Buried data acquisition method and device, computer equipment and storage medium | |
| CN113746851B (en) | Proxy system and method supporting real-time analysis of GRPC request | |
| CN116208676A (en) | Data back-source method, device, computer equipment, storage medium and program product | |
| CN108920355A (en) | Get event information acquisition method, device, computer equipment and storage medium ready | |
| CN114500348A (en) | CDN gateway test method and system | |
| CN113285951A (en) | Request forwarding method, device, equipment and storage medium | |
| CN113868005A (en) | Method and device for monitoring webpage abnormity | |
| CN113626330A (en) | Mixed-mode mobile application debugging method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |