WO2016169435A1 - 一种数据采集方法和系统、及其终端和服务器 - Google Patents

一种数据采集方法和系统、及其终端和服务器 Download PDF

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Publication number
WO2016169435A1
WO2016169435A1 PCT/CN2016/079373 CN2016079373W WO2016169435A1 WO 2016169435 A1 WO2016169435 A1 WO 2016169435A1 CN 2016079373 W CN2016079373 W CN 2016079373W WO 2016169435 A1 WO2016169435 A1 WO 2016169435A1
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Prior art keywords
terminal
server
user behavior
data
structure information
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PCT/CN2016/079373
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English (en)
French (fr)
Inventor
童国俊
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阿里巴巴集团控股有限公司
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Publication of WO2016169435A1 publication Critical patent/WO2016169435A1/zh
Priority to US15/789,873 priority Critical patent/US10931766B2/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/52—Network services specially adapted for the location of the user terminal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/535—Tracking the activity of the user
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/103—Formatting, i.e. changing of presentation of documents
    • G06F40/106—Display of layout of documents; Previewing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/30—Definitions, standards or architectural aspects of layered protocol stacks
    • H04L69/32—Architecture of open systems interconnection [OSI] 7-layer type protocol stacks, e.g. the interfaces between the data link level and the physical level
    • H04L69/322—Intralayer communication protocols among peer entities or protocol data unit [PDU] definitions
    • H04L69/329—Intralayer communication protocols among peer entities or protocol data unit [PDU] definitions in the application layer [OSI layer 7]

Definitions

  • the present application relates to the field of computer technologies, and in particular, to a data collection method and system, and a terminal and a server thereof.
  • the mobile basic service provider integrates the SDK by the APP (Application) application developer by providing the relevant SDK (Android Development Kit, Software Development Kit) of each platform (Android, IOS, Ipad, etc.).
  • the API (Application Programming Interface) call of the SDK is implemented on the control that needs to be buried, thereby realizing user behavior data collection, and providing better data service based on statistical analysis results of user behavior data.
  • the steps of user behavior data collection include: APP application developer integrates open source SDK toolkit, SDK toolkit is used for user behavior data collection and uploading; API interface of SDK toolkit is called, according to APP application user in UI (User The operation on the Interface, the user interface triggers the collection of user behavior data and sends it to the collection server.
  • SDK toolkit is used for user behavior data collection and uploading
  • API interface of SDK toolkit is called, according to APP application user in UI (User The operation on the Interface, the user interface triggers the collection of user behavior data and sends it to the collection server.
  • the prior art has the following drawbacks: the terminal update update package has a long period of time, and the decision right of the upgrade is on the user side. If the error is buried or buried in the APP, the quality of the collected user behavior data is poor. , leading to data analysis without reference value.
  • the purpose of the present application is to provide a data collection method and system, and a terminal and server thereof.
  • a data collection method at a terminal comprising:
  • a data collection method on a server comprising:
  • a data collection method on a server includes:
  • the first terminal receives the user behavior data sent by the first terminal, where the first terminal calculates the layout location structure information, the first terminal acquires the buried point service data from the first server, and the first terminal according to the buried point service data and the The layout location structure information generates the user behavior data.
  • a data collection method at a terminal includes:
  • the first terminal Obtaining the user behavior data from the second server, where the first terminal generates the user behavior data according to the burying point service data and the layout location structure information, and the first terminal sends the user behavior data to the second server;
  • a terminal for data collection comprising:
  • the first unit is configured to calculate the layout position structure information
  • the first two units are configured to obtain the buried point service data from the first server
  • a first three unit configured to generate user behavior data according to the buried point service data and the layout location structure information
  • the first four unit is configured to send the user behavior data to the second server.
  • a server for data collection comprising:
  • a second unit configured to generate burying point service data according to a user's burying point setting operation
  • the second unit is configured to send the buried point service data to the first terminal, so that the first terminal generates user behavior data according to the buried point service data and the layout location structure information.
  • a server for data collection comprising:
  • a third unit configured to receive user behavior data sent by the first terminal, where the first terminal calculates the layout location structure information, and the first terminal acquires the buried point service data from the first server, where the first terminal is configured according to the The buried service data and the layout location structure information generate the user behavior data.
  • a terminal for data collection is further provided, where the terminal includes:
  • a fourth unit configured to acquire the user behavior data from the second server, where the first terminal generates the user behavior data according to the buried point service data and the layout location structure information, and the first terminal sends the user behavior data to Second server;
  • the fourth unit is used for calculating the layout position structure information
  • a fourth unit configured to calculate a hash value according to the layout location structure information
  • a fourth fourth unit configured to perform, according to the corresponding association relationship between the user behavior data and the hash value.
  • a data collection system comprising: the terminal of the present application and the server of the present application.
  • the terminal of the present application generates user behavior data by using the buried point service data and the layout location structure information, instead of simply calling the API interface to obtain user behavior data, and being able to customize the buried point setting to automatically perform user behavior data. collection.
  • the present application realizes automatic burying, which improves the correctness of the burying point.
  • the development cycle and business development cycle of the buried point are decoupled, which improves the development efficiency.
  • FIG. 1 shows a schematic structural diagram of a first terminal for data acquisition according to an aspect of the present application
  • FIG. 2 shows a schematic structural diagram of a first server for data collection according to another aspect of the present application
  • FIG. 3 is a schematic structural diagram of a second server for data collection according to still another aspect of the present application.
  • FIG. 4 is a schematic structural diagram of a second terminal for data collection according to still another aspect of the present application.
  • FIG. 5 is a block diagram showing the structure of a data acquisition system according to an aspect of the present application.
  • FIG. 6 is a flow chart showing a data collection method at a first terminal according to an aspect of the present application.
  • FIG. 7 is a schematic flowchart diagram of a data collection method at a first server according to another aspect of the present application.
  • FIG. 8 is a schematic flowchart diagram of a data collection method at a second server according to still another aspect of the present application.
  • FIG. 9 is a schematic flowchart diagram of a data collection method at a second terminal according to still another aspect of the present application.
  • FIG. 10 shows a flow chart of a data collection method according to an aspect of the present application.
  • the terminal, the device of the service network, and the trusted party each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • processors CPUs
  • input/output interfaces network interfaces
  • memory volatile and non-volatile memory
  • the memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory.
  • RAM random access memory
  • ROM read only memory
  • Memory is an example of a computer readable medium.
  • Computer readable media includes both permanent and non-persistent, removable and non-removable media.
  • Information storage can be implemented by any method or technology.
  • the information can be computer readable instructions, data structures, modules of programs, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage,
  • computer readable media does not include non-transitory computer readable media, such as modulated data signals and carrier waves.
  • the first terminal 1 shows a block diagram of a first terminal for data acquisition in accordance with an aspect of the present application.
  • the first terminal 1 for data collection includes a first unit 11, a first two unit 12, a first three unit 13, and a first four unit 14.
  • the first unit 11 is configured to calculate the layout location structure information, the first two units 12 are configured to obtain the buried point service data from the first server, and the first three units 13 are configured to use the buried point service data. And the layout location structure information generates user behavior data; the first four unit 14 is configured to send the user behavior data to the second server.
  • the first terminal 1 is a terminal for which user behavior data is collected, that is, a source of user behavior data. After collecting the user behavior data, the first terminal 1 sends the user behavior data to the second server.
  • the second server is a cloud server, and the collected user behavior data is stored in the cloud for further statistical analysis based on user behavior data. For example, the second server sends the user behavior data to the second terminal, so that the second terminal is based on the user behavior data. The corresponding association with the hash value is presented.
  • the second terminal is a presentation terminal, and the second terminal acquires user behavior data from the second server and presents the user behavior according to the user behavior data.
  • the first server is provided with a burying point setting management system, and the first terminal acquires burying point service data from the first server to collect user behavior data for the burying point set by the administrator, thereby realizing automatic burying to the first terminal and improving The correctness of the buried point.
  • the first server and the second server are deployed separately to alleviate the computing pressure on the server side when the user behavior data is collected.
  • the layout location structure information is the path structure of a page control, similar to the xPath of the XML path language, such as the path of the Andrond system /TestActivity/FrameLayout/linearLayout/linearLayout/Button/id-buybutton.
  • the user behavior data includes terminal information and specific service burying point data
  • the specific service burying point data may include a hash value calculated based on the path structure and a number of times the control is clicked by the user in the corresponding path structure, for example, a certain page.
  • the first terminal 1 performs user behavior data collection for the burying point set by the administrator in the burying point setting management system.
  • the first unit 11 calculates its layout position structure information for the corresponding page of the control by calling the API of the SDK according to the buried point service data.
  • the layout position structure information by calculating the control and the superior control of the control, the superior control calculates its upper level control, and so on, until the root control of the Andrond system, the complete layout position structure information is obtained.
  • the calculation of the layout location structure information can be directly implemented by calling the existing API of the Andrond system.
  • the first three units 13 generate user behavior data based on the buried point service data and the layout location structure information to collect the user's operation behavior for the first terminal.
  • the first four unit 14 then transmits the user behavior data to the second server.
  • the burying point service data is generated according to a user's burying point setting operation; wherein the burying point setting operation is for at least one of the following: an application, an application layout, an application page, and a page control.
  • the buried point service data is generated according to the administrator's buried point setting operation under the buried point setting system of the first server.
  • the format of the buried service data is the Key value-Value value data pair in the json format.
  • Buried point control is performed by the network administrator's burying point setting to avoid too much data collection.
  • the network management personnel in the burying point setting system uses the application, the application layout, the application page, and the page control as dimensions to perform burying point setting at each level, and the burying point setting stage can be configured in the APP development stage or the gray level stage or after the release is online. Decoupling between implementation and development phases.
  • Buried point setting operations are registration management operations of applications, application layouts, application pages, and page controls, such as adding, deleting, changing, and checking operations.
  • the burying service data can be set in the cache of the first server. When the first terminal 1 needs to bury the service data, the burying point service data is obtained from the cache of the first server by the first unit 11, and the storage to the cache can reduce the direct access of the APP.
  • the computing pressure of the background management system is not limited to a background management system.
  • the first two units 12 are further configured to: obtain the buried point service data from the first server according to the layout structure information.
  • the first unit 11 automatically calculates the hash value of the path structure of the control, and then obtains the corresponding buried point service data from the first server by using the hash value to the Json format data.
  • the first three units 13 are further configured to: generate user behavior data according to the buried point service data, the layout location structure information, and additional information.
  • the additional information includes at least one of the following: a device name, Equipment model, resolution. Additional information is obtained by calling the API of the terminal operating system. The first terminal collects and adds the information to the user behavior data through the first three units 13, which can increase the integrity of the user behavior data.
  • the first server 2 for data collection includes a second unit 21 and a second unit 22.
  • the second unit 21 is configured to generate the burying point service data according to the burying point setting operation of the user, and the second unit 22 is configured to send the burying point service data to the first terminal, where the first terminal is used.
  • User behavior data is generated according to the buried point service data and the layout location structure information.
  • the first terminal is a terminal for which user behavior data is collected, that is, a source of user behavior data.
  • the first terminal sends the user behavior data to the second server.
  • the second server is a cloud server, and the collected user behavior data is stored in the cloud for further statistical analysis based on user behavior data.
  • the second server sends the user behavior data to the second terminal, so that the second terminal is based on the user behavior data.
  • the corresponding association with the hash value is presented.
  • the second terminal is a presentation terminal, and the second terminal acquires user behavior data from the second server and presents the user behavior according to the user behavior data.
  • the first server 2 is provided with a burying point setting management system, and the first terminal acquires burying point service data from the first server 2 to collect user behavior data for the burying point set by the administrator, thereby realizing automatic burying to the first terminal. Improve the correctness of the buried point.
  • the first server and the second server are deployed separately to alleviate the computing pressure on the server side when the user behavior data is collected.
  • the administrator uses the second unit 21 to perform the burying point setting operation to generate the burying point service data; the second unit 22 sends the burying point service data to the first terminal; the first terminal calculates the layout position structure information, and then The first terminal generates user behavior data according to the buried point service data and the layout location structure information, and sends the user behavior data to the second server.
  • the buried point setting operation is directed to at least one of the following: an application, an application layout, an application page, and a page control.
  • the buried point service data is generated in accordance with the administrator's buried point setting operation under the buried point setting system of the first server 2.
  • the format of the buried service data is the Key value-Value value data pair in the json format.
  • Buried point control is performed by the network administrator's burying point setting to avoid too much data collection.
  • the network management personnel in the burying point setting system uses the application, the application layout, the application page, and the page control as dimensions to perform burying point setting at each level, and the burying point setting stage can be configured in the APP development stage or the gray level stage or after the release is online. Decoupling between implementation and development phases.
  • Buried point setting operations are registration management operations for applications, application layouts, application pages, and page controls, such as Add, delete, change, check and other operations.
  • the buried point service data can be set in the cache of the first server, and the first terminal obtains the buried point service data from the cache of the first server, and the storage to the cache can reduce the computing pressure of the APP directly accessing the background buried point management system.
  • the second two unit 22 further includes: a second two subunit 221 and a second two subunit 222.
  • the second two-second sub-unit 221 is configured to receive the layout location structure information sent by the first terminal, and the second two-second sub-unit 222 is configured to send the buried-point service data according to the layout location structure information to The first terminal.
  • the first terminal automatically calculates the layout position structure information of the control; the second two subunit 221 receives the layout position structure information sent by the first terminal, and then the second and second The sub-unit 222 performs matching according to the layout position structure information received by the second two-one sub-unit 221, for example, by matching the hash value of the layout position structure information to the matching of the buried-point service data of the Json format, and acquiring the corresponding buried-point service data. And sent to the first terminal.
  • FIG. 3 shows a schematic structural diagram of a second server for data collection according to still another aspect of the present application.
  • the second server 3 for data collection includes a third unit 31.
  • the third unit 31 is configured to receive user behavior data sent by the first terminal.
  • the second server 3 further includes: a third two unit 32.
  • the third unit 32 is configured to send the user behavior data to the second terminal, so that the second terminal performs the presentation according to the corresponding association relationship between the user behavior data and the hash value.
  • the first terminal is a terminal for which user behavior data is collected, that is, a source of user behavior data.
  • the first terminal sends the user behavior data to the second server.
  • the second server is a cloud server, and the collected user behavior data is stored in the cloud for further statistical analysis based on user behavior data.
  • the second server sends the user behavior data to the second terminal, so that the second terminal is based on the user behavior data.
  • the corresponding association with the hash value is presented.
  • the second terminal is a presentation terminal, and the second terminal acquires user behavior data from the second server and presents the user behavior according to the user behavior data.
  • the first server is provided with a burying point setting management system, and the first terminal acquires burying point service data from the first server to collect user behavior data for the burying point set by the administrator, thereby realizing automatic burying to the first terminal and improving The correctness of the buried point.
  • the first server and the second server are deployed separately to alleviate the computing pressure on the server side when the user behavior data is collected.
  • the first terminal calculates the layout location structure information; the first terminal acquires the buried point service data from the first server; the first terminal generates the user behavior according to the buried point service data and the layout location structure information. Data; the first terminal sends the user behavior data to the third unit 31.
  • the second terminal requests the user behavior data
  • the third two unit 32 sends the user behavior data to the second terminal.
  • the second terminal calculates the layout location structure information, and calculates a hash value according to the layout location structure information.
  • the second terminal performs the user behavior according to the corresponding association relationship between the user behavior data and the hash value.
  • the second terminal 4 is a block diagram showing the structure of a second terminal for data acquisition according to still another aspect of the present application.
  • the second terminal 4 for data collection includes a fourth unit 41, a fourth unit 42, a fourth unit 43, and a fourth unit 44.
  • the fourth unit 41 is configured to acquire the user behavior data from the second server, where the first terminal generates the user behavior data according to the buried point service data and the layout location structure information, where the first terminal sends the user Behavior data to the second server.
  • the fourth unit 42 is configured to calculate the layout position structure information; the fourth three unit 43 is configured to calculate a hash value according to the layout position structure information; and the fourth fourth unit 44 is configured to use the user behavior data according to the fourth A corresponding association relationship with the hash value is presented.
  • the first terminal is a terminal for which user behavior data is collected, that is, a source of user behavior data.
  • the first terminal After collecting the user behavior data, the first terminal sends the user behavior data to the second server.
  • the second server is a cloud server, and the collected user behavior data is stored in the cloud for further statistical analysis based on user behavior data.
  • the second server sends the user behavior data to the second terminal, so that the second terminal performs the presentation according to the corresponding association relationship between the user behavior data and the hash value.
  • the second terminal is a presentation terminal, and the second terminal acquires user behavior data from the second server and presents the user behavior according to the user behavior data.
  • the first server is provided with a burying point setting management system, and the first terminal acquires burying point service data from the first server to collect user behavior data for the burying point set by the administrator, thereby realizing automatic burying to the first terminal and improving The correctness of the buried point.
  • the first server and the second server are deployed separately to alleviate the computing pressure on the server side when the user behavior data is collected.
  • the layout location structure information is the path structure of a page control, similar to the xPath of the XML path language, such as the path of the Andrond system /TestActivity/FrameLayout/linearLayout/linearLayout/Button/id-buybutton.
  • the user behavior data includes terminal information and specific service burying point data.
  • the specific service burying point data includes a hash value calculated based on the path structure and a clicked number of the control under the corresponding path structure, for example, a user behavior of a certain page.
  • the first terminal calculates the layout location structure information; the first terminal acquires the buried point service data from the first server; the first terminal generates the user behavior data according to the buried point service data and the layout location structure information; the first terminal Sending the user behavior data to the second server.
  • the second server transmits the user behavior data to the fourth unit 41.
  • the fourth two unit 42 calculates the layout position structure information, the fourth three unit 43 calculates a hash value according to the layout position structure information, and the fourth four unit 44 associates with the hash value according to the user behavior data. Relationships show the behavior of users.
  • the fourth unit 41 is configured to: call the user behavior log from the second server to obtain the user behavior data before the end of the life cycle of the application page loading.
  • the fourth two unit 42 is configured to: traverse all the page controls of the application page, and calculate the layout position structure information of each of the page controls.
  • the fourth three unit 43 includes a fourth three subunit 431 and a fourth three subunit 431. a fourth thirty-one sub-unit 431, configured to obtain a path structure of the page control according to the layout position structure information of the page control, and a fourth thirty-two sub-unit 432, configured to calculate, according to the path structure Hash value.
  • the second terminal switches to the data view mode through the SDK.
  • the data view mode in addition to the normal display of the APP function, the second terminal can also display how many times the control is clicked in a day through the UI control.
  • the fourth unit 41 obtains the user behavior data
  • the fourth unit 42 calculates the layout position structure information for the page of the first terminal
  • the fourth three unit 43 calculates the hash value according to the layout position structure information; the fourth unit 44, according to the corresponding association relationship between the user behavior data and the hash value, calling the drawing API of Android for presentation.
  • the collection server displays the report or the visual report through the background statistical analysis.
  • the second terminal invokes the user behavior data of the first terminal stored by the second server, and the user behavior of the first terminal can be displayed on the second terminal.
  • the graphical way of technology is more intuitive.
  • FIG. 5 shows a block diagram of a data acquisition system in accordance with an aspect of the present application.
  • the data collection system includes: a first terminal 1 shown in FIG. 1, a first server 2 shown in FIG. 2, and a second server 3 shown in FIG.
  • the first terminal 1 includes: a first unit 11, a first two unit 12, a first three unit 13, and a first four unit 14.
  • the first server 2 for data collection includes a second unit 21 and a second unit 22.
  • the second server 3 for data collection includes a third unit 31.
  • the second unit 21 generates the buried point service data according to the user's buried point setting operation, and the buried point setting operation For at least one of the following: apps, app layouts, app pages, page controls.
  • the second unit 22 stores the burying service data of the second unit 21 in the cache, so that the first two units 12 acquire the burying service data, and the cache is located on the side of the first server 2 to alleviate the first terminal 1 The computational pressure.
  • the first unit 11 calculates the layout position structure information; the first two units 12 acquire the buried point service data from the second two unit 22; the first three units 13 are based on the buried point service data of the first two units 12 and the first unit
  • the layout location structure information of 11 generates user behavior data; the first four units 14 send the user behavior data of the first three units 13 to the third unit 31, and the third unit 31 is located at the cloud server, and stores the collected user behavior data to The cloud is used for further statistical analysis based on user behavior data.
  • the burying service data and the user behavior data are respectively located in different devices, for example, respectively located in the first server 2 and the second server 3, which can alleviate the computing pressure caused by a large number of calculations by a single server.
  • the second two unit 22 further includes: a second two subunit 221 and a second two subunit 222.
  • the second two-head sub-unit 221 receives the layout location structure information sent by the first unit 11; the second two-second sub-unit 222 sends the buried-point service data to the first two-unit 12 according to the layout location structure information.
  • the first three units 13 are further configured to generate user behavior data according to the buried point service data, the layout location structure information, and additional information.
  • the additional information includes at least one of the following: a device name, a device model, and a resolution.
  • the data collection system further includes: the second terminal 4 shown in FIG. 4.
  • the second terminal 4 includes a fourth unit 41, a fourth unit 42, a fourth unit 43, and a fourth unit 44.
  • the second server 3 shown in FIG. 3 further includes: a third two unit 32.
  • the fourth unit 41 acquires the user behavior data from the third unit 32.
  • the fourth two unit 42 calculates the layout position structure information.
  • the fourth three unit 43 calculates a hash value according to the layout position structure information of the fourth two unit 42; the fourth four unit 44 is associated with the hash value of the fourth three unit 43 according to the user behavior data of the fourth unit 41 The relationship is presented.
  • the fourth three unit 43 includes: a fourth three subunit 431 and a fourth thirty two subunit 432.
  • the fourth thirty-one sub-unit 431 obtains the path structure of the page control according to the layout position structure information of the page control; the fourth thirty-two sub-unit 432 calculates the path structure according to the path structure of the fourth three-one sub-unit 431. Hash value.
  • the fourth unit 41 calls a user behavior log from the second server to obtain the user behavior data before the end of the life cycle of the application page loading.
  • the fourth two unit 42 traverses all the page controls of the application page, and calculates each The layout position structure information of the page control.
  • the system for data acquisition of the present application realizes automatic burying, improves the correctness of the burying point, and further decouples the burying point development cycle and the business development cycle, thereby improving the development efficiency.
  • FIG. 6 is a flow chart showing a data collection method at a first terminal according to an aspect of the present application.
  • the data collection method at the first terminal includes:
  • Step S601 calculating layout position structure information
  • Step S602 acquiring burying point service data from the first server
  • Step S603 generating user behavior data according to the buried point service data and the layout location structure information
  • Step S604 sending the user behavior data to the second server.
  • the first terminal is a terminal for which user behavior data is collected, that is, a source of user behavior data.
  • the first terminal sends the user behavior data to the second server.
  • the second server is a cloud server, and the collected user behavior data is stored in the cloud for further statistical analysis based on user behavior data.
  • the second server sends the user behavior data to the second terminal, so that the second terminal is based on the user behavior data.
  • the corresponding association with the hash value is presented.
  • the second terminal is a presentation terminal, and the second terminal acquires user behavior data from the second server and presents the user behavior according to the user behavior data.
  • the first server is provided with a burying point setting management system, and the first terminal acquires burying point service data from the first server to collect user behavior data for the burying point set by the administrator, thereby realizing automatic burying to the first terminal and improving The correctness of the buried point.
  • the first server and the second server are deployed separately to alleviate the computing pressure on the server side when the user behavior data is collected.
  • the layout location structure information is the path structure of a page control, similar to the xPath of the XML path language, such as the path of the Andrond system /TestActivity/FrameLayout/linearLayout/linearLayout/Button/id-buybutton.
  • the user behavior data includes terminal information and specific service burying point data.
  • the specific service burying point data includes a hash value calculated based on the path structure and a clicked number of the control under the corresponding path structure, for example, a user behavior of a certain page.
  • the first terminal After obtaining the burying point service data from the first server, the first terminal performs user behavior data collection for the burying point set by the network administrator in the burying point setting management system.
  • the first terminal calculates the layout position structure information of the corresponding page of the control by calling the API of the SDK. Calculation cloth
  • the location structure information is calculated, by calculating the control and the superior control of the control, the superior control calculates its upper level control, and thus loops until the root control of the Andrond system obtains the complete layout position structure information.
  • the calculation of the layout location structure information can be directly implemented by calling the existing API of the Andrond system.
  • the first terminal generates user behavior data based on the buried point service data and the layout location structure information to collect the user's operation behavior for the first terminal.
  • the first terminal transmits the user behavior data to the second server.
  • the burying point service data is generated according to a user's burying point setting operation; wherein the burying point setting operation is for at least one of the following: an application, an application layout, an application page, and a page control.
  • the buried point service data is generated according to the administrator's buried point setting operation under the buried point setting system of the first server.
  • the format of the buried service data is the Key value-Value value data pair in the json format.
  • Buried point control is performed by the network administrator's burying point setting to avoid too much data collection.
  • the network management personnel in the burying point setting system uses the application, the application layout, the application page, and the page control as dimensions to perform burying point setting at each level, and the burying point setting stage can be configured in the APP development stage or the gray level stage or after the release is online. Decoupling between implementation and development phases.
  • Buried point setting operations are registration management operations of applications, application layouts, application pages, and page controls, such as adding, deleting, changing, and checking operations.
  • the buried point service data can be set in the cache of the first server, and the first terminal obtains the buried point service data from the cache of the first server, and the storage to the cache can reduce the computing pressure of the APP directly accessing the background buried point management system.
  • the obtaining, according to step S602, the burying point service data from the first server further includes:
  • the first terminal automatically calculates the hash value of the path structure of the control, and then obtains the corresponding buried point service data from the first server by using the hash value to the Json format data.
  • the generating the user behavior data according to the buried point service data and the layout location structure information in the step S603 further includes:
  • User behavior data is generated according to the buried point service data, the layout location structure information, and the additional information.
  • the additional information includes at least one of the following: a device name, a device model, and a resolution.
  • the additional information is obtained by calling the API of the terminal operating system.
  • the first terminal collects and adds the information to the user behavior data through the first three units 13, which can increase the integrity of the user behavior data.
  • FIG. 7 is a flow chart showing a data collection method at a first server according to another aspect of the present application.
  • the data collection method at the first server includes:
  • Step S701 generating burying point service data according to a user's burying point setting operation
  • Step S702 Send the buried point service data to the first terminal, so that the first terminal generates user behavior data according to the buried point service data and the layout location structure information.
  • the first terminal is a terminal for which user behavior data is collected, that is, a source of user behavior data.
  • the first terminal sends the user behavior data to the second server.
  • the second server is a cloud server, and the collected user behavior data is stored in the cloud for further statistical analysis based on user behavior data.
  • the second server sends the user behavior data to the second terminal, so that the second terminal is based on the user behavior data.
  • the corresponding association with the hash value is presented.
  • the second terminal is a presentation terminal, and the second terminal acquires user behavior data from the second server and presents the user behavior according to the user behavior data.
  • the first server is provided with a burying point setting management system, and the first terminal acquires burying point service data from the first server to collect user behavior data for the burying point set by the administrator, thereby realizing automatic burying to the first terminal and improving The correctness of the buried point.
  • the first server and the second server are deployed separately to alleviate the computing pressure on the server side when the user behavior data is collected.
  • the administrator uses the first server to perform a burying point setting operation to generate burying point service data; the first server sends the burying point service data to the first terminal; the first terminal calculates the layout position structure information, and then the first terminal calculates The buried business data and the layout location structure information generate user behavior data, and send user behavior data to the second server.
  • the buried point setting operation is directed to at least one of the following: an application, an application layout, an application page, and a page control.
  • the buried point service data is generated according to the administrator's buried point setting operation under the buried point setting system of the first server.
  • the format of the buried service data is the Key value-Value value data pair in the json format.
  • Buried point control is performed by the network administrator's burying point setting to avoid too much data collection.
  • the network management personnel in the burying point setting system uses the application, the application layout, the application page, and the page control as dimensions to perform burying point setting at each level, and the burying point setting stage can be configured in the APP development stage or the gray level stage or after the release is online. Decoupling between implementation and development phases.
  • Buried point setting operations are registration management operations of applications, application layouts, application pages, and page controls, such as adding, deleting, changing, and checking operations.
  • the buried point service data can be set in the cache of the first server, and the first terminal 1 obtains the buried point service data from the cache of the first server, and the storage to the cache can reduce the computing pressure of the APP directly accessing the background buried point management system.
  • the sending the buried point service data to the first terminal in step S702 further includes:
  • Step S7021 Receive layout location structure information sent by the first terminal.
  • Step S7022 Send the buried point service data to the first end according to the layout position structure information. end.
  • the first terminal automatically calculates the layout location structure information of the control; the first server receives the layout location structure information sent by the first terminal, and the first server according to the received layout position
  • the structure information is matched, for example, by matching the hash value of the location structure information to the burying service data of the Json format, and acquiring the corresponding buried point service data and transmitting the data to the first terminal.
  • FIG. 8 is a flow chart showing a data collection method at a second server according to still another aspect of the present application.
  • the data collection method on the second server includes:
  • Step S801 Receive user behavior data sent by the first terminal, where the first terminal calculates the layout location structure information, the first terminal acquires the buried point service data from the first server, and the first terminal according to the buried point service data And the layout position structure information generates the user behavior data.
  • the method for collecting data on the server further includes:
  • Step S802 Send the user behavior data to the second terminal, so that the second terminal performs the presentation according to the corresponding association relationship between the user behavior data and the hash value.
  • the first terminal is a terminal for which user behavior data is collected, that is, a source of user behavior data.
  • the first terminal sends the user behavior data to the second server.
  • the second server is a cloud server, and the collected user behavior data is stored in the cloud for further statistical analysis based on user behavior data.
  • the second server sends the user behavior data to the second terminal, so that the second terminal is based on the user behavior data.
  • the corresponding association with the hash value is presented.
  • the second terminal is a presentation terminal, and the second terminal acquires user behavior data from the second server and presents the user behavior according to the user behavior data.
  • the first server is provided with a burying point setting management system, and the first terminal acquires burying point service data from the first server to collect user behavior data for the burying point set by the administrator, thereby realizing automatic burying to the first terminal and improving The correctness of the buried point.
  • the first server and the second server are deployed separately to alleviate the computing pressure on the server side when the user behavior data is collected.
  • the first terminal calculates the layout location structure information; the first terminal acquires the buried point service data from the first server; the first terminal generates the user behavior data according to the buried point service data and the layout location structure information; the first terminal Sending the user behavior data to the second server.
  • the second terminal requests user behavior data
  • the second server sends the user behavior data to the second terminal.
  • the second terminal calculates the layout location structure information, and calculates a hash value according to the layout location structure information.
  • the second terminal performs the user behavior according to the corresponding association relationship between the user behavior data and the hash value.
  • the data collection method at the second terminal includes:
  • Step S901 The user behavior data is obtained from the second server, where the first terminal generates the user behavior data according to the buried point service data and the layout location structure information, and the first terminal sends the user behavior data to the second server;
  • Step S902 calculating layout position structure information
  • Step S903 calculating a hash value according to the layout position structure information
  • Step S904 displaying according to the corresponding association relationship between the user behavior data and the hash value.
  • the first terminal is a terminal for which user behavior data is collected, that is, a source of user behavior data.
  • the first terminal After collecting the user behavior data, the first terminal sends the user behavior data to the second server.
  • the second server is a cloud server, and the collected user behavior data is stored in the cloud for further statistical analysis based on user behavior data.
  • the second server sends the user behavior data to the second terminal, so that the second terminal performs the presentation according to the corresponding association relationship between the user behavior data and the hash value.
  • the second terminal is a presentation terminal, and the second terminal acquires user behavior data from the second server and presents the user behavior according to the user behavior data.
  • the first server is provided with a burying point setting management system, and the first terminal acquires burying point service data from the first server to collect user behavior data for the burying point set by the administrator, thereby realizing automatic burying to the first terminal and improving The correctness of the buried point.
  • the first server and the second server are deployed separately to alleviate the computing pressure on the server side when the user behavior data is collected.
  • the layout location structure information is the path structure of a page control, similar to the xPath of the XML path language, such as the path of the Andrond system /TestActivity/FrameLayout/linearLayout/linearLayout/Button/id-buybutton.
  • the first terminal calculates the layout location structure information; the first terminal acquires the buried point service data from the first server; the first terminal generates the user behavior data according to the buried point service data and the layout location structure information; the first terminal Sending the user behavior data to the second server.
  • the second terminal requests user behavior data
  • the second server sends the user behavior data to the second terminal.
  • the second terminal calculates the layout location structure information, and then the second terminal calculates a hash value according to the layout location structure information, and finally the second terminal performs the user behavior according to the corresponding association relationship between the user behavior data and the hash value. Show.
  • the acquiring the user behavior data from the second server in step S901 further includes:
  • the user behavior log is invoked from the second server to obtain the user behavior data before the end of the life cycle of the application page loading.
  • the calculating the location location structure information in step S902 further includes:
  • the step S903 calculates the hash value according to the layout position structure information, and further includes:
  • Step S9031 Obtain a path structure of the page control according to the layout position structure information of the page control.
  • Step S9032 Calculating the hash value according to the path structure.
  • the second terminal switches to the data view mode through the SDK.
  • the data view mode in addition to the normal display of the APP function, the second terminal can also display how many times the control is clicked in a day through the UI control.
  • the second terminal calculates the layout location structure information of the page of the first terminal, and the second terminal calculates the hash value according to the layout location structure information; the second terminal according to the user behavior data and The corresponding association relationship of the hash value is called by the drawing API of Android.
  • the collection server displays the report or the visual report through the background statistical analysis.
  • the second terminal invokes the user behavior data of the first terminal stored by the second server, and the user behavior of the first terminal can be displayed on the second terminal.
  • the graphical way of technology is more intuitive.
  • FIG. 10 shows a flow chart of a data collection method according to an aspect of the present application.
  • the data data collection method includes:
  • step S1001 the first server 2 generates the buried point service data according to the user's buried point setting operation.
  • step S1002 the first terminal 1 calculates the layout position structure information.
  • step S1003 the first terminal 1 acquires the buried point service data from the first server 2.
  • step S1004 the first terminal 1 generates user behavior data according to the buried point service data and the layout position structure information.
  • step S1005 the first terminal 1 sends the user behavior data to the second server 3.
  • step S1006 the second terminal 4 acquires the user behavior data from the second server 3.
  • step S1007 the second terminal 4 calculates the layout position structure information.
  • step S1008 the second terminal 4 calculates a hash value according to the layout position structure information.
  • step S1009 the second terminal 4 performs the presentation according to the corresponding association relationship between the user behavior data and the hash value.
  • the first terminal is a terminal for which user behavior data is collected, that is, a source of user behavior data.
  • the first terminal sends the user behavior data to the second server.
  • the second server is the cloud
  • the end server stores the collected user behavior data to the cloud for further statistical analysis based on user behavior data.
  • the second server sends the user behavior data to the second terminal, so that the second terminal performs the presentation according to the corresponding association relationship between the user behavior data and the hash value.
  • the second terminal is a presentation terminal, and the second terminal acquires user behavior data from the second server and presents the user behavior according to the user behavior data.
  • the first server is provided with a burying point setting management system, and the first terminal acquires burying point service data from the first server to collect user behavior data for the burying point set by the administrator, thereby realizing automatic burying to the first terminal and improving The correctness of the buried point.
  • the first server and the second server are deployed separately to alleviate the computing pressure on the server side when the user behavior data is collected.
  • the layout location structure information is the path structure of a page control, similar to the xPath of the XML path language, such as the path of the Andrond system /TestActivity/FrameLayout/linearLayout/linearLayout/Button/id-buybutton.
  • the step S1003 the first terminal 1 acquiring the burying point service data from the first server further includes:
  • the first terminal 1 acquires the buried point service data from the first server according to the layout structure information.
  • the first terminal automatically calculates the hash value of the path structure of the control, and then obtains the corresponding buried point service data from the first server by using the hash value to the Json format data.
  • the step S1004 the first terminal 1 generating the user behavior data according to the buried point service data and the layout location structure information further includes:
  • the first terminal 1 generates user behavior data based on the buried point service data, the layout position structure information, and the additional information.
  • the additional information includes at least one of the following: a device name, a device model, and a resolution.
  • the additional information includes at least one of the following: a device name, a device model, and a resolution. Additional information is obtained by calling the API of the terminal operating system. The first terminal collects and adds this information to the user behavior data, which can increase the integrity of the user behavior data.
  • the step S1006 the second terminal 4 acquiring the user behavior data from the second server further includes:
  • the second terminal 4 calls the user behavior log from the second server to obtain the user behavior data.
  • the calculating, by the second terminal 4, the layout location structure information in step S1007 further includes:
  • the second terminal 4 traverses all the page controls of the application page, and calculates the layout position structure information of each of the page controls.
  • the second terminal 4 calculates the hash value according to the layout position structure information, and further includes:
  • the second terminal 4 obtains the path structure of the page control according to the layout position structure information of the page control; the second terminal 4 calculates the hash value according to the path structure.

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Abstract

一种数据采集方法和系统、及其终端和服务器，其中，终端侧的方法包括：计算得到布局位置结构信息（S601）；从第一服务器获取埋点业务数据（S602）；根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据（S603）；发送所述用户行为数据至第二服务器（S604）。终端利用埋点业务数据和布局位置结构信息生成用户行为数据，而不是简单调用API接口获取用户行为数据，能够自定义埋点设置，对用户行为数据进行自动采集，实现了自动埋点，提高了埋点的正确性。

Description

一种数据采集方法和系统、及其终端和服务器
本申请要求2015年04月22日递交的申请号为201510198905.9、发明名称为“一种数据采集方法和系统、及其终端和服务器”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及计算机技术领域，尤其涉及一种数据采集方法和系统、及其终端和服务器。
背景技术
目前，移动基础服务提供商通过提供各平台(Android、IOS、Ipad等)的相关SDK(Software Development Kit，软件开发工具包)，由APP(Application，应用程序)原生应用开发方集成SDK，并在需要埋点的控件上进行SDK的API(Application Programming Interface，应用程序编程接口)调用，从而实现用户行为数据采集，并且基于用户行为数据统计分析结果提供更好的数据服务。这种用户行为数据采集的步骤包括：APP应用开发者集成开源的SDK工具包，SDK工具包用于用户行为数据采集及上传；调用SDK工具包的API接口，根据APP应用使用者在UI(User Interface，用户界面)上的操作触发用户行为数据的采集，并发送至采集服务器。
然而，现有技术存在如下缺陷：终端更新发布包存在周期长、是否升级的决定权在用户方的特点，若在APP中埋点错误或者漏埋，将导致采集的用户行为数据质量差的问题，导致数据分析没有参考价值。
发明内容
本申请的目的是提供一种数据采集方法和系统、及其终端和服务器。
根据本申请的一个方面，提供了一种在终端的数据采集方法，所述方法包括：
计算得到布局位置结构信息；
从第一服务器获取埋点业务数据；
根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据；
发送所述用户行为数据至第二服务器。
根据本申请的另一方面，还提供了一种在服务端的数据采集方法，所述方法包括：
根据用户的埋点设置操作生成埋点业务数据；
发送所述埋点业务数据至第一终端，以供所述第一终端根据所述埋点业务数据和布局位置结构信息生成用户行为数据。
根据本申请的再一方面，还提供了一种在服务端的数据采集方法，所述方法包括：
接收第一终端发送的用户行为数据；其中，所述第一终端计算得到布局位置结构信息，第一终端从第一服务器获取埋点业务数据，第一终端根据所述埋点业务数据和所述布局位置结构信息生成所述用户行为数据。
根据本申请的又一方面，还提供了一种在终端的数据采集方法，所述方法包括：
从第二服务器获取所述用户行为数据；其中，第一终端根据埋点业务数据和布局位置结构信息生成所述用户行为数据，第一终端发送所述用户行为数据至第二服务器；
计算得到布局位置结构信息；
根据所述布局位置结构信息计算得到哈希值；
根据所述用户行为数据与所述哈希值的对应关联关系进行展现。
根据本申请的一个方面，提供了一种用于数据采集的终端，所述终端包括：
第一一单元，用于计算得到布局位置结构信息；
第一二单元，用于从第一服务器获取埋点业务数据；
第一三单元，用于根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据；
第一四单元，用于发送所述用户行为数据至第二服务器。
根据本申请的另一方面，还提供了一种用于数据采集的服务器，所述服务器包括：
第二一单元，用于根据用户的埋点设置操作生成埋点业务数据；
第二二单元，用于发送所述埋点业务数据至第一终端，以供所述第一终端根据所述埋点业务数据和布局位置结构信息生成用户行为数据。
根据本申请的再一方面，还提供了一种用于数据采集的服务器，所述服务器包括：
第三一单元，用于接收第一终端发送的用户行为数据；其中，所述第一终端计算得到布局位置结构信息，第一终端从第一服务器获取埋点业务数据，第一终端根据所述埋点业务数据和所述布局位置结构信息生成所述用户行为数据。
根据本申请的又一方面，还提供了一种用于数据采集的终端，所述终端包括：
第四一单元，用于从第二服务器获取所述用户行为数据；其中，第一终端根据埋点业务数据和布局位置结构信息生成所述用户行为数据，第一终端发送所述用户行为数据至第二服务器；
第四二单元，用于计算得到布局位置结构信息；
第四三单元，用于根据所述布局位置结构信息计算得到哈希值；
第四四单元，用于根据所述用户行为数据与所述哈希值的对应关联关系进行展现。
根据本申请的一方面，提供了一种数据采集系统，所述系统包括：本申请的终端和本申请的服务器。
与现有技术相比，本申请的终端利用埋点业务数据和布局位置结构信息生成用户行为数据，而不是简单调用API接口获取用户行为数据，能够自定义埋点设置，对用户行为数据进行自动采集。在此，本申请实现了自动埋点，提高了埋点的正确性。此外，还解耦了埋点开发周期和业务开发周期，提高了开发效率。
附图说明
通过阅读参照以下附图所作的对非限制性实施例所作的详细描述，本申请的其它特征、目的和优点将会变得更明显：
图1示出根据本申请一个方面的用于数据采集的第一终端的结构示意图；
图2示出根据本申请另一个方面的用于数据采集的第一服务器的结构示意图；
图3示出根据本申请再一个方面的用于数据采集的第二服务器的结构示意图；
图4示出根据本申请又一个方面的用于数据采集的第二终端的结构示意图；
图5示出根据本申请一个方面的数据采集系统的结构示意图；
图6示出根据本申请一个方面的在第一终端的数据采集方法的流程示意图；
图7示出根据本申请另一个方面的在第一服务端的数据采集方法的流程示意图；
图8示出根据本申请再一个方面的在第二服务端的数据采集方法的流程示意图；
图9示出根据本申请又一个方面的在第二终端的数据采集方法的流程示意图；
图10示出根据本申请一个方面的数据采集方法的流程示意图。
附图中相同或相似的附图标记代表相同或相似的部件。
具体实施方式
下面结合附图对本申请作进一步详细描述。
在本申请一个典型的配置中，终端、服务网络的设备和可信方均包括一个或多个处理器(CPU)、输入/输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括非暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
图1示出根据本申请一个方面的用于数据采集的第一终端的结构示意图。该用于数据采集的第一终端1包括：第一一单元11、第一二单元12、第一三单元13和第一四单元14。
其中，第一一单元11，用于计算得到布局位置结构信息；第一二单元12，用于从第一服务器获取埋点业务数据；第一三单元13，用于根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据；第一四单元14，用于发送所述用户行为数据至第二服务器。
在此，第一终端1为用户行为数据采集所针对的终端，即用户行为数据的来源。第一终端1采集用户行为数据后，发送用户行为数据至第二服务器。第二服务器为云端服务器，将采集的用户行为数据存储至云端以供进一步基于用户行为数据的统计分析，例如，第二服务器发送用户行为数据至第二终端，以供第二终端根据用户行为数据与哈希值的对应关联关系进行展现。第二终端为展现终端，第二终端从第二服务器获取用户行为数据并根据用户行为数据对用户行为进行展现。第一服务器设有埋点设置管理系统，第一终端从第一服务器获取埋点业务数据以针对管理员设置的埋点进行用户行为数据的采集，从而实现了自动埋点至第一终端，提高了埋点的正确性。第一服务器和第二服务器分开部署，以减轻用户行为数据采集时服务器一端的运算压力。布局位置结构信息为某个页面控件的路径结构，类似于XML路径语言的xPath，例如Andrond系统的路径/TestActivity/FrameLayout/linearLayout/linearLayout/Button/id-buybutton。用户行为数据包括终端信息和具体的业务埋点数据，具体的业务埋点数据可以包括基于路径结构计算得到的哈希值(hash)以及对应路径结构下控件被用户点击的次数，例如某页面的用户行为数据为 {page:{789919021201,”pageName＝indexPage”}，ctrls:[{1883888493,”ctrlName＝orderButton”}……}，其中，pageName＝indexPage和ctrlName＝orderButton分别代表page和ctrls对应的页面名和控件名。此外，还可以定制更多其他数据，具体可由业务方管理员根据业务需求自定义埋点业务数据。
例如，第一二单元12从第一服务器获取埋点业务数据后，第一终端1针对管理员在埋点设置管理系统设置的埋点进行用户行为数据采集。当用户点击某个APP的控件时，第一一单元11根据埋点业务数据通过调用SDK的API对该控件的相应页面计算其布局位置结构信息。计算布局位置结构信息时，通过计算该控件及该控件的上级控件，上级控件再计算它的更上一级控件，如此循环，直到Andrond系统的根控件为止，获取到完整的布局位置结构信息，该布局位置结构信息的计算可以直接通过调用Andrond系统的现有API实现。第一三单元13基于埋点业务数据和布局位置结构信息生成用户行为数据，以采集用户针对第一终端的操作行为。然后第一四单元14发送所述用户行为数据至第二服务器。
具体地，所述埋点业务数据根据用户的埋点设置操作生成；其中，所述埋点设置操作针对以下至少一项：应用、应用版面、应用页面、页面控件。
在此，埋点业务数据在第一服务器的埋点设置系统下根据管理员的埋点设置操作生成。埋点业务数据的格式为json格式的Key值-Value值数据对。通过网络管理员的埋点设置进行埋点控制，避免采集数据量太大。网络管理人员在埋点设置系统以应用、应用版面、应用页面、页面控件为维度，进行各层级的埋点设置，埋点设置阶段可在APP开发阶段或灰度阶段或发布上线后进行配置，实现与开发阶段解耦。埋点设置操作为应用、应用版面、应用页面、页面控件的登记管理操作，例如增、删、改、查等操作。埋点业务数据可以设置在第一服务器的缓存，第一终端1需要埋点业务数据时，通过第一一单元11从第一服务器的缓存获取埋点业务数据，存储到缓存可以降低APP直接访问后台埋点管理系统的运算压力。
可选地，所述第一二单元12还用于：根据所述布局结构信息从所述第一服务器获取所述埋点业务数据。当用户点击控件的时候，第一一单元11自动计算获取到该控件的路径结构的hash值，然后通过该hash值到Json格式的数据从第一服务器匹配获取对应的埋点业务数据。
可选地，所述第一三单元13还用于：根据所述埋点业务数据、所述布局位置结构信息和附加信息生成用户行为数据。所述附加信息包括以下至少一项：设备名称、 设备型号、分辨力。附加信息通过调用终端操作系统的API获取。第一终端采集并通过第一三单元13将这些信息加入至用户行为数据中，能够增加用户行为数据的完整性。
图2示出根据本申请另一个方面的用于数据采集的第一服务器的结构示意图。该用于数据采集的第一服务器2包括：第二一单元21和第二二单元22。
其中，第二一单元21，用于根据用户的埋点设置操作生成埋点业务数据；第二二单元22，用于发送所述埋点业务数据至第一终端，以供所述第一终端根据所述埋点业务数据和布局位置结构信息生成用户行为数据。
在此，第一终端为用户行为数据采集所针对的终端，即用户行为数据的来源。第一终端采集用户行为数据后，发送用户行为数据至第二服务器。第二服务器为云端服务器，将采集的用户行为数据存储至云端以供进一步基于用户行为数据的统计分析，例如，第二服务器发送用户行为数据至第二终端，以供第二终端根据用户行为数据与哈希值的对应关联关系进行展现。第二终端为展现终端，第二终端从第二服务器获取用户行为数据并根据用户行为数据对用户行为进行展现。第一服务器2设有埋点设置管理系统，第一终端从第一服务器2获取埋点业务数据以针对管理员设置的埋点进行用户行为数据的采集，从而实现了自动埋点至第一终端，提高了埋点的正确性。第一服务器和第二服务器分开部署，以减轻用户行为数据采集时服务器一端的运算压力。
例如，管理员利用第二一单元21进行埋点设置操作，生成埋点业务数据；第二二单元22发送所述埋点业务数据至第一终端；第一终端计算得到布局位置结构信息，然后第一终端根据埋点业务数据和布局位置结构信息生成用户行为数据，并发送用户行为数据至第二服务器。
具体地，所述埋点设置操作针对以下至少一项：应用、应用版面、应用页面、页面控件。
在此，埋点业务数据在第一服务器2的埋点设置系统下根据管理员的埋点设置操作生成。埋点业务数据的格式为json格式的Key值-Value值数据对。通过网络管理员的埋点设置进行埋点控制，避免采集数据量太大。网络管理人员在埋点设置系统以应用、应用版面、应用页面、页面控件为维度，进行各层级的埋点设置，埋点设置阶段可在APP开发阶段或灰度阶段或发布上线后进行配置，实现与开发阶段解耦。埋点设置操作为应用、应用版面、应用页面、页面控件的登记管理操作，例如 增、删、改、查等操作。埋点业务数据可以设置在第一服务器的缓存，第一终端从第一服务器的缓存获取埋点业务数据，存储到缓存可以降低APP直接访问后台埋点管理系统的运算压力。
具体地，所述第二二单元22还包括：第二二一子单元221和第二二二子单元222。
其中，第二二一子单元221，用于接收所述第一终端发送的布局位置结构信息；第二二二子单元222，用于根据所述布局位置结构信息发送所述埋点业务数据至所述第一终端。
在此，当用户点击控件的时候，第一终端自动计算获取到该控件的布局位置结构信息；第二二一子单元221接收所述第一终端发送的布局位置结构信息，然后第二二二子单元222根据第二二一子单元221接收到的布局位置结构信息进行匹配，例如通过布局位置结构信息的hash值到Json格式的埋点业务数据的匹配，获取到相对应的埋点业务数据并发送至第一终端。
图3示出根据本申请再一个方面的用于数据采集的第二服务器的结构示意图。该用于数据采集的第二服务器3包括：第三一单元31。
其中，第三一单元31，用于接收第一终端发送的用户行为数据。
可选地，所述第二服务器3还包括：第三二单元32。
其中，第三二单元32，用于发送所述用户行为数据至第二终端，以供所述第二终端根据所述用户行为数据与哈希值的对应关联关系进行展现。
在此，第一终端为用户行为数据采集所针对的终端，即用户行为数据的来源。第一终端采集用户行为数据后，发送用户行为数据至第二服务器。第二服务器为云端服务器，将采集的用户行为数据存储至云端以供进一步基于用户行为数据的统计分析，例如，第二服务器发送用户行为数据至第二终端，以供第二终端根据用户行为数据与哈希值的对应关联关系进行展现。第二终端为展现终端，第二终端从第二服务器获取用户行为数据并根据用户行为数据对用户行为进行展现。第一服务器设有埋点设置管理系统，第一终端从第一服务器获取埋点业务数据以针对管理员设置的埋点进行用户行为数据的采集，从而实现了自动埋点至第一终端，提高了埋点的正确性。第一服务器和第二服务器分开部署，以减轻用户行为数据采集时服务器一端的运算压力。
例如，第一终端计算得到布局位置结构信息；第一终端从第一服务器获取埋点业务数据；第一终端根据所述埋点业务数据和所述布局位置结构信息生成用户行为 数据；第一终端发送所述用户行为数据至第三一单元31。当第二终端请求用户行为数据时，第三二单元32发送所述用户行为数据至第二终端。第二终端计算得到布局位置结构信息，并根据所述布局位置结构信息计算得到哈希值，最后第二终端根据所述用户行为数据与所述哈希值的对应关联关系进行用户行为的展现。
图4示出根据本申请又一个方面的用于数据采集的第二终端的结构示意图。该用于数据采集的第二终端4包括：第四一单元41、第四二单元42、第四三单元43和第四四单元44。
其中，第四一单元41，用于从第二服务器获取所述用户行为数据；其中，第一终端根据埋点业务数据和布局位置结构信息生成所述用户行为数据，第一终端发送所述用户行为数据至第二服务器。第四二单元42，用于计算得到布局位置结构信息；第四三单元43，用于根据所述布局位置结构信息计算得到哈希值；第四四单元44，用于根据所述用户行为数据与所述哈希值的对应关联关系进行展现。
在此，第一终端为用户行为数据采集所针对的终端，即用户行为数据的来源。第一终端采集用户行为数据后，发送用户行为数据至第二服务器。第二服务器为云端服务器，将采集的用户行为数据存储至云端以供进一步基于用户行为数据的统计分析。第二服务器发送用户行为数据至第二终端，以供第二终端根据用户行为数据与哈希值的对应关联关系进行展现。第二终端为展现终端，第二终端从第二服务器获取用户行为数据并根据用户行为数据对用户行为进行展现。第一服务器设有埋点设置管理系统，第一终端从第一服务器获取埋点业务数据以针对管理员设置的埋点进行用户行为数据的采集，从而实现了自动埋点至第一终端，提高了埋点的正确性。第一服务器和第二服务器分开部署，以减轻用户行为数据采集时服务器一端的运算压力。布局位置结构信息为某个页面控件的路径结构，类似于XML路径语言的xPath，例如Andrond系统的路径/TestActivity/FrameLayout/linearLayout/linearLayout/Button/id-buybutton。用户行为数据包括终端信息和具体的业务埋点数据，具体的业务埋点数据包括基于路径结构计算得到的哈希值(hash)以及对应路径结构下控件的被点击次数，例如某页面的用户行为数据为{page:{789919021201,”pageName＝indexPage”}，ctrls:[{1883888493,”ctrlName＝orderButton”}……}，其中，pageName＝indexPage和ctrlName＝orderButton分别代表page和ctrls对应的页面名和控件名。此外，还可以定制更多其他数据，具体可由业务方管理员根据业务需求自定义埋点业务数据。
例如，第一终端计算得到布局位置结构信息；第一终端从第一服务器获取埋点业务数据；第一终端根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据；第一终端发送所述用户行为数据至第二服务器。当第二终端4请求用户行为数据时，第二服务器发送所述用户行为数据至第四一单元41。第四二单元42计算得到布局位置结构信息，第四三单元43根据所述布局位置结构信息计算得到哈希值，第四四单元44根据所述用户行为数据与所述哈希值的对应关联关系进行用户行为的展现。
具体地，所述第四一单元41用于：在应用页面加载的生命周期结束前，从所述第二服务器调用用户行为日志以获取所述用户行为数据。所述第四二单元42用于：遍历所述应用页面的全部页面控件，计算得出每个所述页面控件的所述布局位置结构信息。所述第四三单元43包括：第四三一子单元431和第四三一子单元431。第四三一子单元431，用于根据所述页面控件的所述布局位置结构信息得到所述页面控件的路径结构；第四三二子单元432，用于根据所述路径结构计算得到所述哈希值。
在此，第二终端通过SDK切换至数据可视模式，在数据可视模式下，第二终端除了正常显示APP功能外，还可以通过UI控件显示该控件一天内的被点了多少次。第四一单元41获取到用户行为数据后，第四二单元42对第一终端的页面计算其布局位置结构信息，第四三单元43根据布局位置结构信息计算得到哈希值；第四四单元44根据所述用户行为数据与所述哈希值的对应关联关系，调用Android的绘图API进行展现。
现有技术中，采集服务器采集到用户行为数据后，经后台统计分析，以报表或可视化报表展现。然而以报表形式展现用户行为数据不够直观。通过第二服务器采集第一终端的用户行为数据后，第二终端调用第二服务器存储的第一终端的用户行为数据，能够将第一终端的用户行为在第二终端进行展现，比之现有技术的图表方式展现，更加直观。
图5示出根据本申请一个方面的数据采集系统的结构示意图。该数据采集系统包括：图1所示的第一终端1、图2所示的第一服务器2和图3所示的第二服务器3。
其中，第一终端1包括：第一一单元11、第一二单元12、第一三单元13和第一四单元14。该用于数据采集的第一服务器2包括：第二一单元21和第二二单元22。该用于数据采集的第二服务器3包括：第三一单元31。
其中，第二一单元21根据用户的埋点设置操作生成埋点业务数据，埋点设置操 作针对以下至少一项：应用、应用版面、应用页面、页面控件。第二二单元22将第二一单元21的埋点业务数据存储至缓存中，以供第一二单元12获取埋点业务数据，缓存位于第一服务器2这一侧，以减轻第一终端1的运算压力。第一一单元11计算得到布局位置结构信息；第一二单元12从第二二单元22获取埋点业务数据；第一三单元13根据第一二单元12的埋点业务数据和第一一单元11的布局位置结构信息生成用户行为数据；第一四单元14发送第一三单元13的用户行为数据至第三一单元31，第三一单元31位于云端服务器，将采集的用户行为数据存储至云端以供进一步基于用户行为数据的统计分析。其中，埋点业务数据和用户行为数据分别位于不同设备，例如分别位于第一服务器2和第二服务器3中，能够减轻单一服务器进行大量计算而造成的运算压力。
具体地，所述第二二单元22还包括：第二二一子单元221和第二二二子单元222。第二二一子单元221接收第一一单元11发送的布局位置结构信息；第二二二子单元222根据所述布局位置结构信息发送所述埋点业务数据至第一二单元12。
可选地，所述第一三单元13还用于根据所述埋点业务数据、所述布局位置结构信息和附加信息生成用户行为数据。所述附加信息包括以下至少一项：设备名称、设备型号、分辨力。
可选地，该数据采集系统还包括：图4所示的第二终端4。
其中，第二终端4包括：第四一单元41、第四二单元42、第四三单元43和第四四单元44。图3所示的第二服务器3还包括：第三二单元32。
其中，第四一单元41从第三二单元32获取所述用户行为数据。第四二单元42计算得到布局位置结构信息。第四三单元43根据第四二单元42的布局位置结构信息计算得到哈希值；第四四单元44根据第四一单元41的用户行为数据与第四三单元43的哈希值的对应关联关系进行展现。
具体地，所述第四三单元43包括：第四三一子单元431和第四三二子单元432。第四三一子单元431根据所述页面控件的所述布局位置结构信息得到所述页面控件的路径结构；第四三二子单元432根据第四三一子单元431的路径结构计算得到所述哈希值。
具体地，所述第四一单元41在应用页面加载的生命周期结束前，从所述第二服务器调用用户行为日志以获取所述用户行为数据。
具体地，所述第四二单元42遍历所述应用页面的全部页面控件，计算得出每个 所述页面控件的所述布局位置结构信息。
通过本申请的用于数据采集的系统实现了自动埋点，提高了埋点的正确性，此外，还解耦了埋点开发周期和业务开发周期，提高了开发效率。
图6示出根据本申请一个方面的在第一终端的数据采集方法的流程示意图。该在第一终端的数据采集方法包括：
步骤S601，计算得到布局位置结构信息；
步骤S602，从第一服务器获取埋点业务数据；
步骤S603，根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据；
步骤S604，发送所述用户行为数据至第二服务器。
在此，第一终端为用户行为数据采集所针对的终端，即用户行为数据的来源。第一终端采集用户行为数据后，发送用户行为数据至第二服务器。第二服务器为云端服务器，将采集的用户行为数据存储至云端以供进一步基于用户行为数据的统计分析，例如，第二服务器发送用户行为数据至第二终端，以供第二终端根据用户行为数据与哈希值的对应关联关系进行展现。第二终端为展现终端，第二终端从第二服务器获取用户行为数据并根据用户行为数据对用户行为进行展现。第一服务器设有埋点设置管理系统，第一终端从第一服务器获取埋点业务数据以针对管理员设置的埋点进行用户行为数据的采集，从而实现了自动埋点至第一终端，提高了埋点的正确性。第一服务器和第二服务器分开部署，以减轻用户行为数据采集时服务器一端的运算压力。布局位置结构信息为某个页面控件的路径结构，类似于XML路径语言的xPath，例如Andrond系统的路径/TestActivity/FrameLayout/linearLayout/linearLayout/Button/id-buybutton。用户行为数据包括终端信息和具体的业务埋点数据，具体的业务埋点数据包括基于路径结构计算得到的哈希值(hash)以及对应路径结构下控件的被点击次数，例如某页面的用户行为数据为{page:{789919021201,”pageName＝indexPage”}，ctrls:[{1883888493,”ctrlName＝orderButton”}……}，其中，pageName＝indexPage和ctrlName＝orderButton分别代表page和ctrls对应的页面名和控件名。此外，还可以定制更多其他数据，具体可由业务方管理员根据业务需求自定义埋点业务数据。
例如，从第一服务器获取埋点业务数据后，第一终端针对网络管理员在埋点设置管理系统设置的埋点进行用户行为数据采集。当用户点击某个APP的控件时，第一终端通过调用SDK的API对该控件的相应页面计算其布局位置结构信息。计算布 局位置结构信息时，通过计算该控件及该控件的上级控件，上级控件再计算它的更上一级控件，如此循环，直到Andrond系统的根控件为止，获取到完整的布局位置结构信息，该布局位置结构信息的计算可以直接通过调用Andrond系统的现有API实现。第一终端基于埋点业务数据和布局位置结构信息生成用户行为数据，以采集用户针对第一终端的操作行为。然后第一终端发送所述用户行为数据至第二服务器。
具体地，所述埋点业务数据根据用户的埋点设置操作生成；其中，所述埋点设置操作针对以下至少一项：应用、应用版面、应用页面、页面控件。
在此，埋点业务数据在第一服务器的埋点设置系统下根据管理员的埋点设置操作生成。埋点业务数据的格式为json格式的Key值-Value值数据对。通过网络管理员的埋点设置进行埋点控制，避免采集数据量太大。网络管理人员在埋点设置系统以应用、应用版面、应用页面、页面控件为维度，进行各层级的埋点设置，埋点设置阶段可在APP开发阶段或灰度阶段或发布上线后进行配置，实现与开发阶段解耦。埋点设置操作为应用、应用版面、应用页面、页面控件的登记管理操作，例如增、删、改、查等操作。埋点业务数据可以设置在第一服务器的缓存，第一终端从第一服务器的缓存获取埋点业务数据，存储到缓存可以降低APP直接访问后台埋点管理系统的运算压力。
具体地，步骤S602所述从第一服务器获取埋点业务数据还包括：
根据所述布局结构信息从所述第一服务器获取所述埋点业务数据。
在此，当用户点击控件的时候，第一终端自动计算获取到该控件的路径结构的hash值，然后通过该hash值到Json格式的数据从第一服务器匹配获取对应的埋点业务数据。
具体地，步骤S603所述根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据还包括：
根据所述埋点业务数据、所述布局位置结构信息和附加信息生成用户行为数据。所述附加信息包括以下至少一项：设备名称、设备型号、分辨力。
在此，附加信息通过调用终端操作系统的API获取。第一终端采集并通过第一三单元13将这些信息加入至用户行为数据中，能够增加用户行为数据的完整性。
图7示出根据本申请另一个方面的在第一服务端的数据采集方法的流程示意图。该在第一服务端的数据采集方法包括：
步骤S701，根据用户的埋点设置操作生成埋点业务数据；
步骤S702，发送所述埋点业务数据至第一终端，以供所述第一终端根据所述埋点业务数据和布局位置结构信息生成用户行为数据。
在此，第一终端为用户行为数据采集所针对的终端，即用户行为数据的来源。第一终端采集用户行为数据后，发送用户行为数据至第二服务器。第二服务器为云端服务器，将采集的用户行为数据存储至云端以供进一步基于用户行为数据的统计分析，例如，第二服务器发送用户行为数据至第二终端，以供第二终端根据用户行为数据与哈希值的对应关联关系进行展现。第二终端为展现终端，第二终端从第二服务器获取用户行为数据并根据用户行为数据对用户行为进行展现。第一服务器设有埋点设置管理系统，第一终端从第一服务器获取埋点业务数据以针对管理员设置的埋点进行用户行为数据的采集，从而实现了自动埋点至第一终端，提高了埋点的正确性。第一服务器和第二服务器分开部署，以减轻用户行为数据采集时服务器一端的运算压力。
例如，管理员利用第一服务器进行埋点设置操作，生成埋点业务数据；第一服务器发送所述埋点业务数据至第一终端；第一终端计算得到布局位置结构信息，然后第一终端根据埋点业务数据和布局位置结构信息生成用户行为数据，并发送用户行为数据至第二服务器。
具体地，所述埋点设置操作针对以下至少一项：应用、应用版面、应用页面、页面控件。
在此，埋点业务数据在第一服务器的埋点设置系统下根据管理员的埋点设置操作生成。埋点业务数据的格式为json格式的Key值-Value值数据对。通过网络管理员的埋点设置进行埋点控制，避免采集数据量太大。网络管理人员在埋点设置系统以应用、应用版面、应用页面、页面控件为维度，进行各层级的埋点设置，埋点设置阶段可在APP开发阶段或灰度阶段或发布上线后进行配置，实现与开发阶段解耦。埋点设置操作为应用、应用版面、应用页面、页面控件的登记管理操作，例如增、删、改、查等操作。埋点业务数据可以设置在第一服务器的缓存，第一终端1从第一服务器的缓存获取埋点业务数据，存储到缓存可以降低APP直接访问后台埋点管理系统的运算压力。
具体地，步骤S702所述发送所述埋点业务数据至第一终端还包括：
步骤S7021，接收所述第一终端发送的布局位置结构信息；
步骤S7022，根据所述布局位置结构信息发送所述埋点业务数据至所述第一终 端。
在此，当用户点击控件的时候，第一终端自动计算获取到该控件的布局位置结构信息；第一服务器接收所述第一终端发送的布局位置结构信息，第一服务器根据接收到的布局位置结构信息进行匹配，例如通过布局位置结构信息的hash值到Json格式的埋点业务数据的匹配，获取相对应的埋点业务数据并发送至第一终端。
图8示出根据本申请再一个方面的在第二服务端的数据采集方法的流程示意图。该在第二服务端的数据采集方法包括：
步骤S801，接收第一终端发送的用户行为数据；其中，所述第一终端计算得到布局位置结构信息，第一终端从第一服务器获取埋点业务数据，第一终端根据所述埋点业务数据和所述布局位置结构信息生成所述用户行为数据。
可选地，该在服务端的数据采集方法还包括：
步骤S802，发送所述用户行为数据至第二终端，以供所述第二终端根据所述用户行为数据与哈希值的对应关联关系进行展现。
在此，第一终端为用户行为数据采集所针对的终端，即用户行为数据的来源。第一终端采集用户行为数据后，发送用户行为数据至第二服务器。第二服务器为云端服务器，将采集的用户行为数据存储至云端以供进一步基于用户行为数据的统计分析，例如，第二服务器发送用户行为数据至第二终端，以供第二终端根据用户行为数据与哈希值的对应关联关系进行展现。第二终端为展现终端，第二终端从第二服务器获取用户行为数据并根据用户行为数据对用户行为进行展现。第一服务器设有埋点设置管理系统，第一终端从第一服务器获取埋点业务数据以针对管理员设置的埋点进行用户行为数据的采集，从而实现了自动埋点至第一终端，提高了埋点的正确性。第一服务器和第二服务器分开部署，以减轻用户行为数据采集时服务器一端的运算压力。
例如，第一终端计算得到布局位置结构信息；第一终端从第一服务器获取埋点业务数据；第一终端根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据；第一终端发送所述用户行为数据至第二服务器。当第二终端请求用户行为数据时，第二服务器发送所述用户行为数据至第二终端。第二终端计算得到布局位置结构信息，并根据所述布局位置结构信息计算得到哈希值，最后第二终端根据所述用户行为数据与所述哈希值的对应关联关系进行用户行为的展现。
图9示出根据本申请又一个方面的在第二终端的数据采集方法的流程示意图。 该在第二终端的数据采集方法包括：
步骤S901，从第二服务器获取所述用户行为数据；其中，第一终端根据埋点业务数据和布局位置结构信息生成所述用户行为数据，第一终端发送所述用户行为数据至第二服务器；
步骤S902，计算得到布局位置结构信息；
步骤S903，根据所述布局位置结构信息计算得到哈希值；
步骤S904，根据所述用户行为数据与所述哈希值的对应关联关系进行展现。
在此，第一终端为用户行为数据采集所针对的终端，即用户行为数据的来源。第一终端采集用户行为数据后，发送用户行为数据至第二服务器。第二服务器为云端服务器，将采集的用户行为数据存储至云端以供进一步基于用户行为数据的统计分析。第二服务器发送用户行为数据至第二终端，以供第二终端根据用户行为数据与哈希值的对应关联关系进行展现。第二终端为展现终端，第二终端从第二服务器获取用户行为数据并根据用户行为数据对用户行为进行展现。第一服务器设有埋点设置管理系统，第一终端从第一服务器获取埋点业务数据以针对管理员设置的埋点进行用户行为数据的采集，从而实现了自动埋点至第一终端，提高了埋点的正确性。第一服务器和第二服务器分开部署，以减轻用户行为数据采集时服务器一端的运算压力。布局位置结构信息为某个页面控件的路径结构，类似于XML路径语言的xPath，例如Andrond系统的路径/TestActivity/FrameLayout/linearLayout/linearLayout/Button/id-buybutton。
例如，第一终端计算得到布局位置结构信息；第一终端从第一服务器获取埋点业务数据；第一终端根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据；第一终端发送所述用户行为数据至第二服务器。当第二终端请求用户行为数据时，第二服务器发送所述用户行为数据至第二终端。第二终端计算得到布局位置结构信息，然后第二终端根据所述布局位置结构信息计算得到哈希值，最后第二终端根据所述用户行为数据与所述哈希值的对应关联关系进行用户行为的展现。
具体地，步骤S901所述从第二服务器获取所述用户行为数据还包括：
在应用页面加载的生命周期结束前，从所述第二服务器调用用户行为日志以获取所述用户行为数据。
具体地，步骤S902所述计算得到布局位置结构信息还包括：
遍历所述应用页面的全部页面控件，计算得出每个所述页面控件的所述布局位 置结构信息。
具体地，步骤S903根据所述布局位置结构信息计算得到哈希值还包括：
步骤S9031，根据所述页面控件的所述布局位置结构信息得到所述页面控件的路径结构；
步骤S9032，根据所述路径结构计算得到所述哈希值。
在此，第二终端通过SDK切换至数据可视模式，在数据可视模式下，第二终端除了正常显示APP功能外，还可以通过UI控件显示该控件一天内的被点了多少次。第二终端获取到用户行为数据后，第二终端对第一终端的页面计算其布局位置结构信息，第二终端根据布局位置结构信息计算得到哈希值；第二终端根据所述用户行为数据与所述哈希值的对应关联关系，调用Android的绘图API进行展现。
现有技术中，采集服务器采集到用户行为数据后，经后台统计分析，以报表或可视化报表展现。然而以报表形式展现用户行为数据不够直观。通过第二服务器采集第一终端的用户行为数据后，第二终端调用第二服务器存储的第一终端的用户行为数据，能够将第一终端的用户行为在第二终端进行展现，比之现有技术的图表方式展现，更加直观。
图10示出根据本申请一个方面的数据采集方法的流程示意图。该数据数据采集方法包括：
步骤S1001，第一服务器2根据用户的埋点设置操作生成埋点业务数据。
步骤S1002，第一终端1计算得到布局位置结构信息。
步骤S1003，第一终端1从第一服务器2获取埋点业务数据。
步骤S1004，第一终端1根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据。
步骤S1005，第一终端1发送所述用户行为数据至第二服务器3。
步骤S1006，第二终端4从第二服务器3获取所述用户行为数据。
步骤S1007，第二终端4计算得到布局位置结构信息。
步骤S1008，第二终端4根据所述布局位置结构信息计算得到哈希值。
步骤S1009，第二终端4根据所述用户行为数据与所述哈希值的对应关联关系进行展现。
在此，第一终端为用户行为数据采集所针对的终端，即用户行为数据的来源。第一终端采集用户行为数据后，发送用户行为数据至第二服务器。第二服务器为云 端服务器，将采集的用户行为数据存储至云端以供进一步基于用户行为数据的统计分析。第二服务器发送用户行为数据至第二终端，以供第二终端根据用户行为数据与哈希值的对应关联关系进行展现。第二终端为展现终端，第二终端从第二服务器获取用户行为数据并根据用户行为数据对用户行为进行展现。第一服务器设有埋点设置管理系统，第一终端从第一服务器获取埋点业务数据以针对管理员设置的埋点进行用户行为数据的采集，从而实现了自动埋点至第一终端，提高了埋点的正确性。第一服务器和第二服务器分开部署，以减轻用户行为数据采集时服务器一端的运算压力。布局位置结构信息为某个页面控件的路径结构，类似于XML路径语言的xPath，例如Andrond系统的路径/TestActivity/FrameLayout/linearLayout/linearLayout/Button/id-buybutton。
具体地，步骤S1003第一终端1从第一服务器获取埋点业务数据还包括：
第一终端1根据所述布局结构信息从所述第一服务器获取所述埋点业务数据。
在此，当用户点击控件的时候，第一终端自动计算获取到该控件的路径结构的hash值，然后通过该hash值到Json格式的数据从第一服务器匹配获取对应的埋点业务数据。
具体地，步骤S1004第一终端1根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据还包括：
第一终端1根据所述埋点业务数据、所述布局位置结构信息和附加信息生成用户行为数据。所述附加信息包括以下至少一项：设备名称、设备型号、分辨力。
在此，所述附加信息包括以下至少一项：设备名称、设备型号、分辨力。附加信息通过调用终端操作系统的API获取。第一终端采集并将这些信息加入至用户行为数据中，能够增加用户行为数据的完整性。
具体地，步骤S1006第二终端4从第二服务器获取所述用户行为数据还包括：
在应用页面加载的生命周期结束前，第二终端4从所述第二服务器调用用户行为日志以获取所述用户行为数据。
具体地，步骤S1007第二终端4计算得到布局位置结构信息还包括：
第二终端4遍历所述应用页面的全部页面控件，计算得出每个所述页面控件的所述布局位置结构信息。
具体地，步骤S1008第二终端4根据所述布局位置结构信息计算得到哈希值还包括：
第二终端4根据所述页面控件的所述布局位置结构信息得到所述页面控件的路径结构；第二终端4根据所述路径结构计算得到所述哈希值。
对于本领域技术人员而言，显然本申请不限于上述示范性实施例的细节，而且在不背离本申请的精神或基本特征的情况下，能够以其他的具体形式实现本申请。因此，无论从哪一点来看，均应将实施例看作是示范性的，而且是非限制性的，本申请的范围由所附权利要求而不是上述说明限定，因此旨在将落在权利要求的等同要件的含义和范围内的所有变化涵括在本申请内。不应将权利要求中的任何附图标记视为限制所涉及的权利要求。此外，显然“包括”一词不排除其他单元或步骤，单数不排除复数。装置权利要求中陈述的多个单元或装置也可以由一个单元或装置通过软件或者硬件来实现。第一，第二等词语用来表示名称，而并不表示任何特定的顺序。

Claims (31)

  1. 一种在终端的数据采集方法，其中，所述方法包括：
    计算得到布局位置结构信息；
    从第一服务器获取埋点业务数据；
    根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据；
    发送所述用户行为数据至第二服务器。
  2. 根据权利要求1所述的数据采集方法，其中，所述埋点业务数据根据用户的埋点设置操作生成；其中，所述埋点设置操作针对以下至少一项：应用、应用版面、应用页面、页面控件。
  3. 根据权利要求1或2所述的数据采集方法，其中，所述从第一服务器获取埋点业务数据还包括：
    根据所述布局结构信息从所述第一服务器获取所述埋点业务数据。
  4. 根据权利要求1至3中任一项所述的数据采集方法，其中，所述根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据还包括：
    根据所述埋点业务数据、所述布局位置结构信息和附加信息生成用户行为数据。
  5. 根据权利要求4所述的数据采集方法，其中，所述附加信息包括以下至少一项：设备名称、设备型号、分辨力。
  6. 一种在服务端的数据采集方法，其中，所述方法包括：
    根据用户的埋点设置操作生成埋点业务数据；
    发送所述埋点业务数据至第一终端，以供所述第一终端根据所述埋点业务数据和布局位置结构信息生成用户行为数据。
  7. 根据权利要求6所述的数据采集方法，其中，所述埋点设置操作针对以下至少一项：应用、应用版面、应用页面、页面控件。
  8. 根据权利要求6或7所述的数据采集方法，其中，所述发送所述埋点业务数据至第一终端还包括：
    接收所述第一终端发送的布局位置结构信息；
    根据所述布局位置结构信息发送所述埋点业务数据至所述第一终端。
  9. 一种在服务端的数据采集方法，其中，所述方法包括：
    接收第一终端发送的用户行为数据；其中，所述第一终端计算得到布局位置结 构信息，第一终端从第一服务器获取埋点业务数据，第一终端根据所述埋点业务数据和所述布局位置结构信息生成所述用户行为数据。
  10. 根据权利要求9所述的数据采集方法，其中，所述方法还包括：
    发送所述用户行为数据至第二终端，以供所述第二终端根据所述用户行为数据与哈希值的对应关联关系进行展现。
  11. 一种在终端的数据采集方法，其中，所述方法包括：
    从第二服务器获取所述用户行为数据；其中，第一终端根据埋点业务数据和布局位置结构信息生成所述用户行为数据，第一终端发送所述用户行为数据至第二服务器；
    计算得到布局位置结构信息；
    根据所述布局位置结构信息计算得到哈希值；
    根据所述用户行为数据与所述哈希值的对应关联关系进行展现。
  12. 根据权利要求11所述的数据采集方法，其中，所述从第二服务器获取所述用户行为数据还包括：
    在应用页面加载的生命周期结束前，从所述第二服务器调用用户行为日志以获取所述用户行为数据。
  13. 根据权利要求12所述的数据采集方法，其中，所述计算得到布局位置结构信息还包括：
    遍历所述应用页面的全部页面控件，计算得出每个所述页面控件的所述布局位置结构信息。
  14. 根据权利要求13所述的数据采集方法，其中，根据所述布局位置结构信息计算得到哈希值还包括：
    根据所述页面控件的所述布局位置结构信息得到所述页面控件的路径结构；
    根据所述路径结构计算得到所述哈希值。
  15. 一种用于数据采集的终端，其中，所述终端包括：
    第一一单元，用于计算得到布局位置结构信息；
    第一二单元，用于从第一服务器获取埋点业务数据；
    第一三单元，用于根据所述埋点业务数据和所述布局位置结构信息生成用户行为数据；
    第一四单元，用于发送所述用户行为数据至第二服务器。
  16. 根据权利要求15所述的终端，其中，所述埋点业务数据根据用户的埋点设置操作生成；其中，所述埋点设置操作针对以下至少一项：应用、应用版面、应用页面、页面控件。
  17. 根据权利要求15或16所述的终端，其中，所述第一二单元还用于：
    根据所述布局结构信息从所述第一服务器获取所述埋点业务数据。
  18. 根据权利要求15至17中任一项所述的终端，其中，所述第一三单元还用于：
    根据所述埋点业务数据、所述布局位置结构信息和附加信息生成用户行为数据。
  19. 根据权利要求18所述的终端，其中，所述附加信息包括以下至少一项：设备名称、设备型号、分辨力。
  20. 一种用于数据采集的服务器，其中，所述服务器包括：
    第二一单元，用于根据用户的埋点设置操作生成埋点业务数据；
    第二二单元，用于发送所述埋点业务数据至第一终端，以供所述第一终端根据所述埋点业务数据和布局位置结构信息生成用户行为数据。
  21. 根据权利要求20所述的服务器，其中，所述埋点设置操作针对以下至少一项：应用、应用版面、应用页面、页面控件。
  22. 根据权利要求20或21所述的服务器，其中，所述第二二单元还包括：
    第二二一子单元，用于接收所述第一终端发送的布局位置结构信息；
    第二二二子单元，用于根据所述布局位置结构信息发送所述埋点业务数据至所述第一终端。
  23. 一种用于数据采集的服务器，其中，所述服务器包括：
    第三一单元，用于接收第一终端发送的用户行为数据；其中，所述第一终端计算得到布局位置结构信息，第一终端从第一服务器获取埋点业务数据，第一终端根据所述埋点业务数据和所述布局位置结构信息生成所述用户行为数据。
  24. 根据权利要求23所述的服务器，其中，所述服务器还包括：
    第三二单元，用于发送所述用户行为数据至第二终端，以供所述第二终端根据所述用户行为数据与哈希值的对应关联关系进行展现。
  25. 一种用于数据采集的终端，其中，所述终端包括：
    第四一单元，用于从第二服务器获取所述用户行为数据；其中，第一终端根据 埋点业务数据和布局位置结构信息生成所述用户行为数据，第一终端发送所述用户行为数据至第二服务器；
    第四二单元，用于计算得到布局位置结构信息；
    第四三单元，用于根据所述布局位置结构信息计算得到哈希值；
    第四四单元，用于根据所述用户行为数据与所述哈希值的对应关联关系进行展现。
  26. 根据权利要求25所述的终端，其中，所述第四一单元还用于：
    在应用页面加载的生命周期结束前，从所述第二服务器调用用户行为日志以获取所述用户行为数据。
  27. 根据权利要求26所述的终端，其中，所述第四二单元还用于：
    遍历所述应用页面的全部页面控件，计算得出每个所述页面控件的所述布局位置结构信息。
  28. 根据权利要求27中所述的终端，其中，所述第四三单元包括：
    第四三一子单元，用于根据所述页面控件的所述布局位置结构信息得到所述页面控件的路径结构；
    第四三二子单元，用于根据所述路径结构计算得到所述哈希值。
  29. 一种数据采集系统，其中，所述系统包括：权利要求15至19中任一项所述的终端和权利要求20至22中任一项所述的服务器。
  30. 根据权利要求29所述的服务器，其中，所述系统还包括：权利要求23或24所述的服务器。
  31. 根据权利要求30所述的服务器，其中，所述系统还包括：权利要求25至28中任一项所述的终端。
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