WO2018153207A1 - 数据处理方法、服务器、终端及系统 - Google Patents

数据处理方法、服务器、终端及系统 Download PDF

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Publication number
WO2018153207A1
WO2018153207A1 PCT/CN2018/074107 CN2018074107W WO2018153207A1 WO 2018153207 A1 WO2018153207 A1 WO 2018153207A1 CN 2018074107 W CN2018074107 W CN 2018074107W WO 2018153207 A1 WO2018153207 A1 WO 2018153207A1
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WO
WIPO (PCT)
Prior art keywords
sharing
channel
event
application
terminal
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PCT/CN2018/074107
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English (en)
French (fr)
Inventor
郑灿双
林晓吟
Original Assignee
腾讯科技(深圳)有限公司
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Publication of WO2018153207A1 publication Critical patent/WO2018153207A1/zh

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/52User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/34Network arrangements or protocols for supporting network services or applications involving the movement of software or configuration parameters 

Definitions

  • the embodiments of the present invention relate to the field of data processing, and in particular, to a data processing method, a server, a terminal, and a system.
  • the Hypertext Markup Language 5 (H5) application is a web application developed based on the H5 web page.
  • the H5 application can be a service application provided by a game application, a public number or a service number, and an office application.
  • the social sharing channel refers to a channel for sharing the page links of the H5 application to other users on the social platform.
  • the social platform may be an instant messaging platform, a microblog platform, a blog platform, and the like.
  • the developer of the H5 application wants to be able to monitor the application sharing event of the webpage page, and the application analysis event refers to the event reported by the page A of the webpage page when the terminal A shares the terminal B through the social sharing channel.
  • the event monitoring method provided in the related art is: when the terminal A shares the page link of the webpage page to the terminal B by using the social platform, the social platform monitors the sharing behavior by using the tool component provided by the social platform, and then the tool component The background server of the social platform reports an application sharing event, thereby enabling the social platform to monitor an application sharing event of the web page.
  • the terminal B when the terminal B performs the back-flow access to the page link of the shared webpage page, the terminal needs to send an access request to the background server of the H5 application.
  • the above-mentioned tool component of the social platform cannot monitor the access request, and thus cannot be The page link is shared to the terminal B and is monitored by the event accessed by the terminal B.
  • the background server of the H5 application even if the background server of the H5 application receives the access request, the background server of the H5 application cannot distinguish that the access request is original.
  • the link triggering is triggered by the shared link; therefore, the event monitoring method described above can only monitor the application sharing event of the webpage page, and after the webpage page is shared, the related event when the webpage page is backed up cannot be performed. Track and monitor.
  • the present invention provides a data processing method, a server, a terminal, and a system, in order to solve the problem in the related art that the related events cannot be tracked and monitored when the webpage is backed up.
  • the technical solution is as follows:
  • a data processing method for use in a server, the method comprising:
  • the third-party analysis SDK is an SDK integrated in a webpage
  • the application sharing event is the third-party analysis SDK
  • the event that is reported when the first terminal is shared by the first terminal to the second terminal through the social sharing channel, and the shared URL of the web page carries the social sharing channel Channel identification;
  • an application reflow event reported by the third-party analysis SDK where the application reflow event is reported by the third-party analysis SDK when the URL of the webpage page is shared to the second terminal and accessed by the second terminal.
  • a second aspect provides a data processing method, which is applied to a first terminal, where the method includes:
  • the URL of the webpage is shared by the social sharing channel to the second terminal according to the sharing operation, and the URL of the webpage that is shared carries the channel identifier of the social sharing channel, and the channel identifier is used for
  • the third-party analysis SDK reports an application reflow event to the server when the URL of the web page is shared to the second terminal and accessed by the second terminal;
  • the third-party analysis SDK is an SDK integrated in the webpage page, and the server is configured to use the The application sharing event and the application reflow event obtain a reflow conversion rate of the webpage page on the social sharing channel, and the reflow conversion rate is used to characterize a reflow conversion effect of the social sharing channel.
  • a third aspect provides a data processing method, which is applied to a second terminal, where the method includes:
  • the third-party analysis SDK Reporting, by the third-party analysis SDK, an application reflow event to the server, where the application reflow event carries the channel identifier, and the server is configured to obtain the webpage page according to the application sharing event and the application reflow event.
  • Sharing the return conversion rate on the channel the application sharing event is an event reported by the third party analysis SDK when the URL of the webpage page is shared by the first terminal to the second terminal by using the social sharing channel
  • the reflux conversion rate is used to characterize the reflux conversion effect of the social sharing channel.
  • a data processing apparatus for use in a server, the apparatus comprising:
  • a first receiving module configured to receive an application sharing event reported by a third-party analysis SDK, where the third-party analysis SDK is an SDK integrated in a webpage, and the application sharing event is the third-party analysis SDK on the webpage
  • the Uniform Resource Locator URL is reported by the first terminal when the second terminal is shared by the social sharing channel to the second terminal, and the URL of the shared webpage page carries the channel identifier of the social sharing channel;
  • a second receiving module configured to receive an application reflow event reported by the third-party analysis SDK, where the application reflow event is that the third-party analysis SDK shares the URL of the webpage page to the second terminal and is The event that is reported when the second terminal accesses, the application reflow event carries the channel identifier of the social sharing channel, and the channel identifier is obtained by the third-party analysis SDK from the URL of the webpage page;
  • a first obtaining module configured to obtain, according to the application sharing event and the application reflow event, a reflow conversion rate of the webpage page on the social sharing channel, where the reflow conversion rate is used to represent the social sharing channel Reflux conversion effect.
  • a fifth aspect provides a data processing apparatus, which is applied to a first terminal, where the apparatus includes:
  • a receiving module configured to receive a sharing operation on a webpage page
  • a sharing module configured to share the uniform resource locator URL of the webpage page to the second terminal according to the sharing operation, where the URL of the shared webpage page carries the social sharing channel An identifier, where the channel identifier is used by the third-party analysis SDK to report an application reflow event to the server when the URL of the webpage page is shared to the second terminal and accessed by the second terminal;
  • the calling module is configured to: after the URL of the webpage is successfully shared, invoke a third-party analysis SDK to report an application sharing event to the server, where the third-party analysis SDK is an SDK integrated in the webpage, the server And configured to obtain, according to the application sharing event and the application reflow event, a reflow conversion rate of the webpage page on the social sharing channel, where the reflow conversion rate is used to represent a reflow conversion effect of the social sharing channel.
  • a data processing apparatus for use in a second terminal, the apparatus comprising:
  • a display module configured to display a uniform resource locator URL of a webpage page shared by the first terminal through the social sharing channel, where the URL of the shared webpage page carries the channel identifier of the social sharing channel;
  • a receiving module configured to receive an access operation for accessing a URL of the webpage page
  • a first obtaining module configured to acquire the webpage page by using the URL according to the access operation, where a third-party analysis SDK is integrated in the webpage page;
  • the reporting module is configured to report an application reflow event to the server by using the third-party analysis SDK, where the application reflow event carries the channel identifier, and the server is configured to obtain the webpage according to an application sharing event and the application reflow event a return conversion rate of the page on the social sharing channel, the application sharing event is that the URL of the third party analysis SDK on the webpage page is shared by the first terminal to the second through the social sharing channel.
  • the reflux conversion rate is used to characterize the reflux conversion effect of the social sharing channel.
  • a data processing system comprising: a server, a first terminal, and a second terminal;
  • the server includes the data processing apparatus provided in the fourth aspect above;
  • the first terminal includes the data processing apparatus provided in the above fifth aspect;
  • the second terminal includes the data processing apparatus provided in the sixth aspect above.
  • a server comprising a processor and a memory, the memory storing at least one instruction, the at least one instruction being loaded and executed by the processor to implement the following steps:
  • the third-party analysis SDK is an SDK integrated in a webpage page
  • the application sharing event is a uniform resource locator URL of the third-party analysis SDK on the webpage page.
  • the event that is reported when the first terminal is shared to the second terminal by the social sharing channel, and the URL of the shared webpage page carries the channel identifier of the social sharing channel;
  • an application reflow event reported by the third-party analysis SDK where the application reflow event is reported by the third-party analysis SDK when the URL of the webpage page is shared to the second terminal and accessed by the second terminal.
  • a terminal comprising a processor and a memory, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the following steps:
  • the shared resource locator URL of the webpage is shared by the social sharing channel to the second terminal according to the sharing operation, and the URL of the webpage that is shared carries the channel identifier of the social sharing channel, and the channel The identifier is used by the third-party analysis SDK to report an application reflow event to the server when the URL of the webpage page is shared to the second terminal and accessed by the second terminal;
  • the third-party analysis SDK is an SDK integrated in the webpage page, and the server is configured to use the The application sharing event and the application reflow event obtain a reflow conversion rate of the webpage page on the social sharing channel, and the reflow conversion rate is used to characterize a reflow conversion effect of the social sharing channel.
  • a terminal comprising a processor and a memory, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the following steps:
  • the third-party analysis SDK Reporting, by the third-party analysis SDK, an application reflow event to the server, where the application reflow event carries the channel identifier, and the server is configured to obtain the webpage page according to the application sharing event and the application reflow event.
  • Sharing the return conversion rate on the channel the application sharing event is an event reported by the third party analysis SDK when the URL of the webpage page is shared by the first terminal to the second terminal by using the social sharing channel
  • the reflux conversion rate is used to characterize the reflux conversion effect of the social sharing channel.
  • a data processing system comprising: a server, a first terminal, and a second terminal;
  • the server includes the server provided in the above eighth aspect
  • the first terminal includes the terminal provided in the foregoing ninth aspect
  • the second terminal includes the terminal provided in the above tenth aspect.
  • the third-party analysis SDK integrated in the webpage page can not only report the application sharing event to the server when the webpage page is shared, but also can be returned when the webpage page is backed up.
  • the channel identifier is obtained from the URL of the web page, and the application reflow event carrying the channel identifier is reported to the server.
  • the server obtains the return conversion rate of the webpage on the social sharing channel according to the application sharing event and the application reflow event, thereby The server can track and monitor the application reflow events of the H5 application in the social sharing channel, and avoid the problem that the related technologies cannot track and monitor the related events when the webpage pages are backed up, and the monitoring of the sharing behavior is improved. Comprehensive and accurate.
  • FIG. 1 is a schematic structural diagram of a data processing system according to an embodiment of the present invention.
  • FIG. 2 is a schematic structural diagram of a data processing system according to an exemplary embodiment of the present invention.
  • FIG. 3 is a flowchart of a data processing method according to an embodiment of the present invention.
  • FIG. 4 is a flowchart of a data processing method according to another embodiment of the present invention.
  • FIG. 5 is a schematic diagram of an interface of a data processing method according to an embodiment of the present invention.
  • FIG. 6 is a trend diagram of the number of times of sharing in a day obtained by the data processing method according to an embodiment of the present invention.
  • FIG. 7 is a schematic diagram of an interface of a data processing method according to another embodiment of the present invention.
  • FIG. 8 is a schematic diagram of a number of shares and a reflow conversion rate obtained by a data processing method according to another embodiment of the present invention.
  • FIG. 9 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention.
  • FIG. 10 is a schematic structural diagram of a data processing apparatus according to another embodiment of the present disclosure.
  • FIG. 11 is a schematic structural diagram of a data processing apparatus according to another embodiment of the present disclosure.
  • FIG. 12 is a schematic structural diagram of a data processing apparatus according to another embodiment of the present disclosure.
  • FIG. 13 is a structural block diagram of a terminal according to an embodiment of the present invention.
  • FIG. 14 is a structural block diagram of a server according to an embodiment of the present invention.
  • Social platform A network architecture that connects people through social relationships and/or common interests (or common interests). Users can instantly communicate, share resources, and access the clients through the clients provided by the social platform. Shared resources.
  • H5 application It is a web application developed based on H5 webpage.
  • the H5 application is a service application provided by a game application, a public number or a service number, and an application in an office application.
  • Social sharing channel It is a channel for sharing the URL of a web page to other terminals through a social platform for other terminals to access.
  • the URL of the webpage page refers to the webpage link used to access the webpage page.
  • the webpage page is exemplified as the H5 application, but the webpage page may also be other types of pages, and is not limited to the H5 application.
  • Channel ID It is used to uniquely identify a designated social sharing channel among multiple social sharing channels.
  • the social sharing channel 1 is identified by “TX”
  • the social sharing channel 2 is identified by “WX”
  • the social sharing channel 3 is identified by “WB”.
  • Third-party analytics SDK An SDK provided by a third-party server for tracking, monitoring, and counting shared monitoring data for H5 applications on social sharing channels.
  • the third-party analytics SDK needs to be pre-integrated by the developer in the H5 application, and the third-party analytics SDK is used to escalate application sharing events and/or application reflow events to third-party servers.
  • the “third-party server” here refers to the party that is independent of the social platform, but does not mean that it must belong to a different owner from the social platform, or it may belong to different servers of the same owner.
  • the application sharing event is an event that is reported by the third party analysis SDK when the URL of the H5 application is shared by the first terminal to the second terminal through the social sharing channel.
  • the "first terminal” herein refers to the terminal used by the user who initiated the sharing, and does not only represent one terminal; the “second terminal” herein refers to the sharing of the URL of the shared H5 application by the receiving party.
  • the terminal used by the user who reverts to access does not only represent one terminal.
  • Application reflow event The third party analyzes the event reported by the SDK when the URL of the H5 application is shared to the second terminal and accessed by the second terminal.
  • Shares The number of times the H5 app was shared via the social sharing channel during the scheduled time period.
  • the predetermined time period may be one hour, one day, one week or one month.
  • Number of reflows The number of times the H5 application was re-visited after sharing during the scheduled time period.
  • the predetermined time period may be one hour, one day, one week or one month.
  • Reflux conversion rate is the conversion rate divided by the number of shares, used to characterize the return conversion effect of social sharing channels. For example, a web page is shared 100 times on social platform A, and 400 users have visited the shared web page, and the conversion rate is 400%.
  • share monitoring data the number of shares, the number of reflows, and the rate of return conversion.
  • FIG. 1 is a schematic structural diagram of a data processing system according to an embodiment of the present invention.
  • the system includes at least one first terminal 120, at least one second terminal 140, a server cluster 160, and at least one developer terminal 180.
  • the first terminal 120 runs a browser or a client having the ability to browse the webpage, and the client having the webpage browsing capability may be a client of the social platform, such as an instant messaging client, a shopping client, and a payment client having the ability to browse the webpage. Wait.
  • the browser or client can access and share web pages.
  • a third-party analytics SDK is pre-integrated in this web page.
  • the first terminal 120 can be a mobile phone, a tablet computer, an e-book reader, a Motion Picture Experts Group Audio Layer III (MP3) player, and a motion picture expert compressed standard audio layer 4 (Moving Picture Experts) Group Audio Layer IV, MP4) players, laptops and desktop computers, etc.
  • MP3 Motion Picture Experts Group Audio Layer III
  • MP4 Motion Picture Experts Group Audio Layer IV
  • MP4 Motion Picture Experts Group Audio Layer IV
  • the first terminal 120 is configured to share the URL of the webpage page to the second terminal 140 through the social sharing channel when the sharing operation of the user is received, and the third-party analysis SDK in the first terminal 120 is used to report the application sharing to the server cluster 160. event.
  • the URL of the web page that is shared carries the channel identifier of the social sharing channel.
  • the first terminal 120 and the second terminal 140 are connected by a communication network.
  • the communication network is a wired network or a wireless network.
  • the second terminal 140 runs a browser or a client having the ability to browse the webpage.
  • the client having the ability to browse the webpage may be a client of the social platform, such as an instant messaging client, a shopping client, and a payment client having the ability to browse the webpage. Wait.
  • the browser or the client can receive the first terminal's share of the URL of the webpage page and access the shared webpage page.
  • the second terminal 140 may be a mobile phone, a tablet, an e-book reader, an MP3 player, an MP4 player, a laptop portable computer, a desktop computer, or the like.
  • the third party analytics SDK is used to report application reflow events to the server cluster 160.
  • the second terminal 140 is configured to receive a URL of a webpage page shared by the first terminal, and return to access the webpage page when receiving the click operation of the user.
  • a third-party analysis SDK is integrated in the web page of the second terminal 140 that is back-accessed.
  • the third-party analysis SDK is used to report an application reflow event to the server cluster 160 when the shared web page is backed up.
  • the application reflow event carries a channel identifier of the social sharing channel, and the channel identifier is obtained by the third party analysis SDK from the URL of the shared webpage page.
  • the first terminal 120 and the second terminal 140 may be two terminals having different functions, where the first terminal 120 has a function of reporting an application sharing event to the server cluster 160, and the second terminal 140 It has the function of reporting application reflow events to the server cluster 160.
  • the first terminal 120 and the second terminal 140 may also be two terminals having the same function, and the terminal has the function of reporting the application sharing event and the application reflow event to the server cluster 160.
  • the terminal is used to implement the function of the first terminal side in the embodiment of the present application, the terminal is used as the first terminal 120; when the terminal is used to implement the function of the second terminal side in the embodiment of the present application, the terminal is As the second terminal 140.
  • the same terminal may be used as the first terminal 120 or the second terminal 140.
  • the first terminal 120 and the second terminal 140 are two terminals having different functions, the first terminal 120 has the function of reporting the application sharing event to the server cluster 160, and the second terminal 140 is configured to report the application reflow to the server cluster 160.
  • the function of the event is described as an example.
  • the server cluster 160 is connected to the first terminal 120 and the second terminal 140 via a communication network, respectively.
  • the communication network is a wired network or a wireless network.
  • Server cluster 160 is a server, or a number of servers, or a virtualization platform, or a cloud computing service center.
  • the server cluster 160 is configured to receive an application sharing event reported by the third-party analysis SDK in the first terminal 120 and an application reflow event reported by the third-party analysis SDK in the second terminal 140, and obtain a webpage page according to the application sharing event and the application reflow event. Return conversion rate on social sharing channels.
  • the developer terminal 180 has the ability to present data.
  • the developer terminal 180 can be a cell phone, a tablet, an e-book reader, an MP3 player, an MP4 (player, laptop portable computer, desktop computer, etc.).
  • the developer terminal 180 receives the sharing monitoring data, such as the number of times of sharing, the number of reflows, and the return conversion rate, sent by the server cluster 160, and generates corresponding report and/or chart information according to the shared monitoring data and displays the corresponding information.
  • the sharing monitoring data such as the number of times of sharing, the number of reflows, and the return conversion rate
  • the developer terminal 180 and the server cluster 160 are connected by a communication network.
  • the communication network is a wired network or a wireless network.
  • the third-party analysis SDK in the first terminal 120 reports the application sharing event to the server cluster 160, where it is shared.
  • the URL of the webpage page carries the channel identifier of the social sharing channel; when the second terminal 140 receives the URL of the webpage page shared by the first terminal and accesses the URL of the webpage page, the third party integrated in the webpage page.
  • the analysis SDK obtains the channel identifier from the URL of the shared webpage page, and reports the application reflow event carrying the channel identifier to the server cluster 160.
  • the server cluster 160 obtains the return conversion rate of the webpage page on the social sharing channel according to the received application sharing event and the application reflow event.
  • the wireless or wired network described above uses standard communication techniques and/or protocols.
  • the network is usually the Internet, but can also be any network, including but not limited to a Local Area Network (LAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a mobile, a wired or a wireless. Any combination of networks, private networks, or virtual private networks).
  • data exchanged over a network is represented using techniques and/or formats including Hyper Text Markup Language (HTML), Extensible Markup Language (XML), and the like.
  • SSL Secure Socket Layer
  • TLS Transport Layer Security
  • VPN Virtual Private Network
  • IPsec Internet Protocol Security
  • Regular encryption techniques are used to encrypt all or some of the links.
  • the above described data communication techniques may also be replaced or supplemented using custom and/or dedicated data communication techniques.
  • FIG. 2 is a schematic structural diagram of a data processing system according to an exemplary embodiment of the present invention.
  • the H5 page is opened in the browser or the client in the first terminal 120, and the developer in the H5 page is pre-integrated with a third-party analysis SDK and a social sharing code.
  • the social sharing code in the first terminal 120 is used to, after successfully sharing the URL of the webpage, invoke the third-party analysis SDK in the first terminal 120 to analyze the statistics interface of the SDK, and analyze the SDK to transmit the social sharing channel to the third party.
  • the third-party analysis SDK generates an application sharing event according to the received channel identifier.
  • the application sharing event carries at least the identifier of the webpage, the channel identifier of the social sharing channel, and the sharing time, and then the third party analyzes the SDK to the server cluster 160. Report the app sharing event.
  • the browser or the client in the second terminal 140 can access the shared H5 page according to the click of the user, and the H5 page is integrated.
  • the third-party analysis SDK in the second terminal 140 obtains the channel identifier of the social sharing channel from the URL of the webpage page, and generates an application reflow event, where the application reflow event carries the identifier of the webpage page and the channel identifier of the social sharing channel. And the reflow time, then the third party analysis SDK reports the application reflow event to the server cluster 160.
  • Server cluster 160 includes an access server 162, a log server 164, a real-time computing node 166, and an offline computing node 168.
  • the access server 162 is configured to receive an application sharing event reported by the third-party analysis SDK in the first terminal 120 and an application reflow event reported by the third-party analysis SDK in the second terminal 140, and share the event and the application
  • the application reflow event is sent to the log server 164 and the real-time compute node 166.
  • the log server 164 is configured to store the received application sharing event and the application reflow event, and convert the application sharing event and the application reflow event into structured data, and then send the data to the offline computing node 168 for storage and calculation;
  • the offline computing node 168 is configured to obtain a reflow conversion rate of the webpage page on the social sharing channel according to the application sharing event and the application reflow event, and send the calculated reflow conversion rate to the developer terminal 180.
  • the real-time computing node 166 is configured to obtain, according to the received application sharing event, the number of times the webpage page is shared by the social sharing channel within a predetermined time period; the real-time computing node 166 is further configured to: according to the received application reflow event, The number of reflows in which the web page is accessed by the backpage within a predetermined period of time is obtained, and the number of shares and the number of reflows obtained in real time are transmitted to the developer terminal 180.
  • FIG. 3 is a flowchart of a method for processing shared monitoring data according to an embodiment of the present invention. This embodiment is exemplified by applying the shared monitoring data processing method to the data processing system shown in FIG. 1 or FIG. 2.
  • the shared monitoring data processing method includes:
  • Step 301 The first terminal receives a sharing operation on a webpage page.
  • the first user opens a webpage page, such as an H5 application, in a browser or a client of the first terminal.
  • a sharing operation for sharing the webpage page is initiated.
  • the first terminal receives the sharing operation corresponding to the sharing portal of the webpage page.
  • the sharing portal is an entry provided on the main interface of the H5 application, or is an entry displayed after the webpage page in the H5 application is opened.
  • the sharing portal is an actionable control for initiating the sharing function.
  • the type of the sharing portal includes at least one of a button, a steerable item, and a slider. This embodiment does not limit the location and type of the sharing portal.
  • the sharing operation is a user operation for triggering the sharing function corresponding to the activation of the sharing portal.
  • the sharing operation includes a combination of any one or more of a click operation, a slide operation, a push operation, and a long press operation.
  • the sharing operation can also be implemented in a voice form.
  • the user inputs the voice signal of the sharing portal in the first terminal, and after the first terminal acquires the voice signal, the voice signal is parsed to obtain the voice content, and the voice content has the preset information of the sharing portal.
  • the first terminal determines that the sharing portal is triggered.
  • the developer pre-integrated the third party analytics SDK and social sharing code in the web page.
  • the third-party analytics SDK is an SDK for monitoring and counting the sharing behavior of web pages on a social sharing channel
  • the social sharing code is a code for sharing the URL of a web page on a social platform.
  • Step 302 The first terminal shares the URL of the webpage page to the second terminal according to the sharing operation through the social sharing channel.
  • the URL of the shared webpage page carries the channel identifier of the social sharing channel, and the channel identifier is used for the third party to analyze the SDK to report the application to the server when the URL of the webpage page is shared to the second terminal and accessed by the second terminal. Return event.
  • the developer of the webpage page adds a channel identifier in advance of the original URL of the webpage page.
  • the value of the channel identifier is used to uniquely identify the social sharing channel used for the sharing.
  • the channel identifiers have different values.
  • the channel identifier includes at least one of a letter, a number, and a punctuation mark, which may be set by the developer or preset by the social platform.
  • Step 303 After successfully sharing the URL of the webpage page, the first terminal invokes the third-party analysis SDK to report the application sharing event to the server.
  • the third-party analysis SDK is an SDK integrated in the web page.
  • the application sharing event carries: an identifier of the webpage, a channel identifier of the social sharing channel, and a sharing time.
  • Step 304 The server receives an application sharing event reported by the third party analysis SDK.
  • the server compares the number of times the webpage page is shared from the social sharing channel within a predetermined time period according to the received application sharing event.
  • the predetermined time period is set by the server by default or is customized.
  • the predetermined time period is one day. This embodiment does not limit this.
  • Step 305 The second terminal displays a URL of a webpage page shared by the first terminal through the social sharing channel.
  • the second terminal receives the URL in the client of the corresponding social platform, and displays the URL.
  • the social sharing channel is a channel corresponding to the instant messaging platform A.
  • the second terminal receives the URL1 of the webpage page through the client of the instant messaging platform A, the second terminal receives and displays the URL1 on the client of the instant messaging platform A.
  • Step 306 The second terminal receives an access operation for accessing a URL of the webpage page.
  • the second terminal displays the URL of the webpage
  • the user performs an access operation on the URL of the webpage
  • the second terminal receives the access operation
  • the access entry is an entry displayed when the URL of the shared web page is displayed.
  • the access portal is an actionable control for initiating access.
  • the type of access portal includes at least one of a button, a steerable entry, and a slider. This embodiment does not limit the location and type of the access portal.
  • the access operation is a user operation for triggering an access function corresponding to the initiation of the access entry.
  • the access operation includes a combination of any one or more of a click operation, a slide operation, a push operation, and a long press operation.
  • the access operation can also be implemented in voice form.
  • the user inputs the voice signal of the access portal in the form of voice in the second terminal, and after the second terminal acquires the voice signal, the voice signal is parsed to obtain the voice content, and the voice content has the preset information of the access portal.
  • the second terminal determines that the access entry is triggered.
  • the user of the second terminal wishes to open the URL for viewing, and then clicks the URL.
  • Step 307 The second terminal acquires a webpage page by using a URL according to the access operation, and the third-party analysis SDK is integrated into the webpage page.
  • the web page to be accessed is obtained according to the URL of the webpage page.
  • Step 308 The second terminal reports an application reflow event to the server through the third-party analysis SDK, and the application reflow event carries the channel identifier.
  • the URL of the webpage page carries the channel identifier
  • the second terminal analyzes the URL of the webpage from the webpage through the third party.
  • the channel identifier is obtained, and an application reflow event is generated according to the channel identifier, and the second terminal reports the generated application reflow event to the server.
  • step 305 to the step 308 are performed in parallel with the step 303 to the step 304, which is not limited in this embodiment.
  • Step 309 The server receives an application reflow event reported by the third party analysis SDK.
  • the application reflow event is an event reported by the third party analyzing the SDK when the URL of the web page is shared to the second terminal and accessed by the second terminal, and the application reflow event carries the channel identifier of the social sharing channel, and the channel identifier is a third party analysis SDK. Obtained from the URL of the web page.
  • Step 310 The server obtains a return conversion rate of the webpage page on the social sharing channel according to the application sharing event and the application reflow event.
  • the server obtains the number of times the webpage page is shared by the social sharing channel according to the application sharing event; and according to the received application reflow event, obtains the number of reflows of the webpage page being backed up.
  • the server divides the number of reflows by the number of shares and gets the reflow rate for the social sharing channel.
  • the third-party analysis SDK integrated in the webpage page can not only report the application sharing event to the server when the webpage page is shared, but also can be on the webpage.
  • the channel identifier is obtained from the URL of the web page, and the application reflow event carrying the channel identifier is reported to the server.
  • the server obtains the return of the webpage on the social sharing channel according to the application sharing event and the application reflow event.
  • the conversion rate enables the server to track and monitor the application reflow events of the H5 application in the social sharing channel, thereby avoiding the problem that the related technologies cannot track and monitor related events when the webpage page is backed up, and the problem is improved.
  • FIG. 4 is a flowchart of a data processing method according to another embodiment of the present invention. This embodiment is exemplified by applying the data processing method to the data processing system shown in FIG. 2.
  • the data processing method includes:
  • Step 401 The first terminal receives a sharing operation on a webpage page.
  • the social sharing code is executed.
  • Step 402 The first terminal shares the URL of the webpage page to the second terminal according to the sharing operation through the social sharing channel.
  • the URL of the shared webpage page carries the channel identifier of the social sharing channel.
  • the first terminal shares the URL of the webpage page to the second terminal through the social sharing channel according to the sharing operation according to the sharing operation.
  • the webpage is a page of the H5 application "AA game”
  • the sharing operation is the webpage of the webpage of the webpage.
  • the URL is shared to the social sharing channel "xx circle of friends”
  • Step 403 After the social sharing code successfully shares the URL of the webpage, the first terminal invokes the third-party analysis SDK's destination statistical interface by the social sharing code, and analyzes the channel identifier of the social sharing channel transmitted by the SDK to the third party.
  • the developer pre-sets the social sharing code to call back the third-party analysis SDK to the statistical interface after successful sharing.
  • the social sharing code obtains the channel identifier in the URL of the webpage, and delivers the channel identifier to the third party analysis SDK by going to the statistical interface.
  • Step 404 The first terminal generates an application sharing event by using a third-party analysis SDK, where the application sharing event carries the identifier of the webpage, the channel identifier of the social sharing channel, and the sharing time.
  • Step 405 The first terminal reports an application sharing event to the access server by using a third-party analysis SDK.
  • Step 406 The access server receives an application sharing event reported by the third party analysis SDK.
  • the access server receives the application sharing event reported by the third-party analysis SDK, and sends the application sharing event to the log server and the real-time computing node respectively.
  • the log server converts the application sharing event into structured data and stores the application sharing event, so that the offline computing node accesses the structured data stored in the log server every predetermined time interval.
  • the reflux conversion rate is calculated every other day, and the offline computing node accesses the structured data stored on the previous day at 1 am on the same day, and calculates the structured data stored in the previous day, thereby calculating the reflux conversion rate.
  • Step 407 The real-time computing node obtains the identifier of the webpage, the channel identifier of the social sharing channel, and the sharing time from the application sharing event.
  • the real-time computing node obtains the identifier of the webpage, the channel identifier of the social sharing channel, and the sharing time from the application sharing event.
  • Step 408 The real-time computing node obtains the number of times the webpage page is shared by the social sharing channel within a predetermined time period according to the identifier of the webpage page, the channel identifier of the social sharing channel, and the sharing time.
  • the real-time computing node sets a statistic value for the webpage page every predetermined time period.
  • the statistic value is determined according to the identifier of the webpage page, the channel identifier of the social sharing channel, and the sharing time.
  • the predetermined time period is one day or one week or one month. This embodiment does not limit this.
  • the predetermined time period is from October 29, 2016 to 0:00 on October 30, 2016, and the real-time computing node calculates the webpage from different times according to the logo of the webpage and the sharing time.
  • the real-time computing node when the developer terminal sends the viewing request, sends the shared number of times of the social sharing channel corresponding to each channel identifier to the developer terminal, and the developer terminal generates the predetermined time according to the received sharing times.
  • the real-time computing node obtains the number of sharing times of the web page "AA game” on the social sharing channel "xx_moments”
  • the real-time computing node goes to "AA”.
  • the corresponding developer terminal sends the statistical result, which is the number of shares shared by the “xx friends circle” on the webpage of “AA Games” from 0:00 on October 29, 2016 to October 30, 2016. It is 50 times.
  • the predetermined time period is zero from October 01, 2016 to November 01, 2016, and the real-time computing node obtains the identifier according to the logo of the webpage and the sharing time within the predetermined time period. The number of times the webpage page shares the sharing from the corresponding social sharing channels.
  • the real-time computing node sends the obtained sharing times to the developer terminal, and the developer terminal generates a channel comparison table of the sharing times corresponding to the social sharing channel within a predetermined time period according to the received sharing times, and displays the channel comparison table.
  • Table 1 shows the number of times the web page of the H5 application "AA game" is shared in various social sharing channels within 30 days from 0:00, October 01, 2016 to 0:00, November 1, 2016.
  • Table 1 also includes social sharing channels, preset channel identifiers, and default social sharing codes.
  • the second terminal receives the URL of the webpage.
  • Step 409 The second terminal displays the URL of the webpage page shared by the first terminal through the social sharing channel, and the URL of the shared webpage page carries the channel identifier of the social sharing channel.
  • Step 410 The second terminal receives an access operation for accessing a URL of the webpage page.
  • the user of the second terminal wants to open the URL for viewing, and then clicks the URL.
  • the web page accessed in the second terminal is integrated with a third-party analysis SDK.
  • Step 411 The second terminal acquires a webpage page by using a URL according to the access operation.
  • Step 412 The second terminal obtains the channel identifier of the social sharing channel from the URL of the webpage page through the third-party analysis SDK.
  • the H5 application is an “AA game”
  • the second terminal displays a URL of a webpage page of the “AA game” shared by the first terminal through the social sharing channel “xx circle of friends”, when the user
  • the second terminal receives the access operation, and obtains the "AA game” webpage from the web server through the URL according to the access operation.
  • the page and the channel identifier "xx_moments" of the "xx circle of friends” is obtained from the URL of the web page through the third-party analysis SDK.
  • Step 413 The second terminal generates an application reflow event by using a third-party analysis SDK, where the application reflow event carries the identifier of the webpage, the channel identifier of the social sharing channel, and the reflow time.
  • Step 414 The second terminal reports an application reflow event to the server by using a third-party analysis SDK.
  • Step 415 The access server receives an application reflow event reported by the third-party analysis SDK.
  • the access server receives the application reflow event reported by the third-party analysis SDK, and sends the application reflow event to the log server and the real-time computing node respectively.
  • the log server receives and stores the application reflow event, converts the application reflow event into structured data, and stores the application reflow event, so that the offline computing node accesses the structured data stored in the log server every predetermined time interval.
  • Step 416 The real-time computing node obtains the identifier of the webpage, the channel identifier of the social sharing channel, and the reflow time from the application reflow event.
  • the real-time computing node and/or the offline computing node obtain the identifier of the webpage, the channel identifier of the social sharing channel, and the reflow time from the application reflow event.
  • Step 417 The real-time computing node obtains the number of reflows of the webpage page that is backed up during the predetermined time period according to the identifier of the webpage page, the channel identifier of the social sharing channel, and the reflow time.
  • the real-time computing node obtains the number of reflows of the webpage pages that are backed up during the predetermined time period according to the identifier of the obtained webpage page, the channel identifier of the social sharing channel, and the reflow time.
  • the real-time computing node When the developer terminal sends a viewing request to the real-time computing node, the real-time computing node sends the obtained number of reflows to the developer terminal corresponding to the identifier of the web page.
  • the predetermined time period is one day or one week or one month.
  • the statistical process of the number of reflows may refer to the statistical process of the number of times of sharing, and details are not described herein again.
  • Step 418 The offline computing node divides the number of reflows by the number of shares, and obtains a reflow conversion rate corresponding to the social sharing channel.
  • the offline computing node accesses the application sharing event and the application reflow event stored by the log server every predetermined time interval, and obtains the corresponding sharing times according to the identifier of the web page, the channel identifier of the social sharing channel, the sharing time, and the reflow time.
  • the offline computing node obtains the webpage of the “AA game” from the social sharing in the predetermined time interval according to the identifier “AA game” of the webpage, the channel identifier “xx_moments” of the social sharing channel, the sharing time and the reflow time.
  • the number of shares shared by the channel "xx friends circle” is 150, and the number of reflows for the return visit is 60 times.
  • the number of reflows is divided by the number of shares, and the return conversion rate corresponding to the "xx circle of friends" of the social sharing channel is obtained.
  • the offline computing node obtains the "AA game” webpage page from the social sharing channel according to the logo of the webpage "AA game", the channel identifier "ss" of the social sharing channel, the sharing time and the reflow time.
  • the number of sharing in "ss microblogging" is 100, and the number of reflows in the reflow is 25, which divides the number of reflows by the number of shares, and the reflow rate corresponding to the social sharing channel "ss microblog" is obtained.
  • the offline computing node sends the sharing number, the number of reflows, and the return conversion rate corresponding to each channel identifier to the developer terminal corresponding to the “AA game”, and the developer terminal receives the
  • the channel ID corresponds to the number of shares, the number of reflows, and the conversion rate of the return, generating a graph of the return conversion rate corresponding to each social sharing channel within a predetermined time period, and displaying the chart.
  • the third-party analysis SDK integrated in the webpage page can not only report the application sharing event to the server when the webpage page is shared, but also can be on the webpage page.
  • the server can track and monitor the application reflow event of the H5 application in the social sharing channel, thereby obtaining a corresponding return conversion rate according to the application sharing event and the application reflow event, thereby improving the comprehensiveness and accuracy of monitoring the sharing behavior. Sex.
  • steps 404 to 408 there are several possible alternative implementations of steps 404 to 408, including but not limited to the following possible implementation manners:
  • the first terminal obtains the browser type of the first terminal by using a third-party analysis SDK.
  • the browser type includes at least one of IE, FF, Opera, Safari, Chrome browser, and a built-in browser of a third-party application.
  • the first terminal generates an application sharing event that carries the identifier of the webpage, the channel identifier of the social sharing channel, the browser type, and the sharing time through the third-party analysis SDK.
  • the first terminal reports the application sharing event to the server through the third-party analysis SDK.
  • the server receives the application sharing event reported by the third party analysis SDK.
  • the server obtains the number of times the webpage pages are classified according to the type of the browser when sharing the webpage from the social sharing channel according to the logo of the webpage, the channel identifier, the type of the browser, and the sharing time.
  • the browser type obtained by the first terminal through the third-party analysis SDK is an IE browser
  • the first terminal generates an application sharing event by using a third-party analysis SDK, where the application sharing event carries the identifier of the webpage “AA game” and socializes.
  • the channel identifier "xx_moments" of the sharing channel, the browser type "IE browser", and the sharing time the first terminal reports the application sharing event to the server through the third-party analysis SDK.
  • the server receives the application sharing event, and obtains the number of times the web page of the AA game is shared from the “IE browser” to the xx circle of friends within a predetermined time period.
  • the browser type obtained by the third terminal through the third-party analysis SDK is a built-in browser of the third-party application A
  • the first terminal generates an application sharing event by using a third-party analysis SDK, where the application sharing event carries the identifier of the webpage page.
  • the "AA game”, the channel identifier "xx_moments" of the social sharing channel, the browser type "the built-in browser of the third-party application A", and the sharing time the first terminal reports the application sharing event to the server through the third-party analysis SDK.
  • the server receives the application sharing event, and obtains the number of times the AA game webpage page is shared from the "third-party application A's built-in browser" to the xx circle of friends within a predetermined time period.
  • the first terminal obtains the browser type of the first terminal by using the third-party analysis SDK, and reports the application sharing event carrying the browser type to the server through the third-party analysis SDK, so that the server can follow the server.
  • Browser type statistics sharing times further improve the accuracy of sharing monitoring data.
  • the first terminal obtains the operating system type of the first terminal by using a third-party analysis SDK.
  • the operating system type includes at least one of an Android system and an Apple iOS system.
  • the first terminal generates an application sharing event that carries the identifier of the webpage, the channel identifier of the social sharing channel, the operating system type, and the sharing time through the third-party analysis SDK.
  • the first terminal reports the application sharing event to the server through the third-party analysis SDK.
  • the server receives an application sharing event reported by the third party analysis package SDK.
  • the server obtains the number of times of sharing the webpages according to the operating system type when the webpage pages are shared from the social sharing channel during the predetermined time period according to the logo of the webpage, the channel identifier, the operating system type, and the sharing time.
  • the operating system type obtained by the first terminal through the third-party analysis SDK is an Android system
  • the first terminal generates an application sharing event by using a third-party analysis SDK, where the application sharing event carries the identifier of the webpage “AA game” and social sharing.
  • the first terminal reports the application sharing event to the server through the third-party analysis SDK.
  • the server receives the application sharing event, and obtains the number of times the webpage page of the AA game is shared to the xx circle of friends on the terminal adopting the “Android system” within the predetermined time period.
  • the operating system type obtained by the third terminal through the third-party analysis SDK is an Apple ios system
  • the first terminal generates an application sharing event by using a third-party analysis SDK, where the application sharing event carries the identifier of the web page “AA game”, The channel identifier "xx_moments" of the social sharing channel, the operating system type "Apple ios system", and the sharing time
  • the first terminal reports the application sharing event to the server through the third-party analysis SDK.
  • the server receives the application sharing event, and obtains the number of times the AA game webpage page is shared to the xx circle of friends on the terminal adopting the “Apple ios system” for a predetermined period of time.
  • the first terminal obtains the operating system type of the first terminal by using the third-party analysis SDK, and reports the application sharing event carrying the operating system type to the server through the third-party analysis SDK, so that the server can follow the server.
  • the type of operating system which obtains the number of times the webpage pages are classified when sharing from the social sharing channel within a predetermined time period, and improves the comprehensiveness and accuracy of the sharing monitoring data.
  • the first terminal obtains the regional identifier of the first terminal by using a third-party analysis SDK.
  • the area identifier is used to identify the geographic location where the first terminal is located. Schematically, when the first terminal is located in Beijing, the corresponding area identifier is “Beijing”.
  • the first terminal generates an application sharing event that carries the identifier of the webpage, the channel identifier of the social sharing channel, the regional identifier, and the sharing time through the third-party analysis SDK.
  • the first terminal reports the application sharing event to the server through the third-party analysis SDK.
  • the server receives the application sharing event reported by the third party analysis SDK.
  • the server obtains the number of times of sharing the webpages according to the geographical identifiers when the webpages are shared from the social sharing channel during the predetermined time period according to the logo of the webpage, the channel identifier, the regional identifier, and the sharing time.
  • the first terminal obtains an area identifier of “Beijing” through the third-party analysis SDK, and the first terminal generates an application sharing event by using a third-party analysis SDK, where the application sharing event carries the identifier “AA game” of the web page, and social sharing.
  • the channel identifier "xx_moments”, the area identifier "Beijing”, and the sharing time of the channel and the first terminal reports the application sharing event to the server through the third-party analysis SDK.
  • the server receives the application sharing event, and obtains the number of times the AA game webpage page is shared to the xx circle of friends on the terminal belonging to the “Beijing” area within the predetermined time period.
  • the first terminal obtains the regional identifier of the first terminal by using the third-party analysis SDK, and reports the application sharing event carrying the regional identifier to the server through the third-party analysis SDK, so that the server can follow the regional identifier.
  • the number of times that the webpage pages are classified when sharing from the social sharing channel within a predetermined time period improves the comprehensiveness and accuracy of the sharing monitoring data.
  • FIG. 9 a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention is shown.
  • the device includes:
  • the first receiving module 910 is configured to receive an application sharing event reported by the third-party analysis SDK, where the third-party analysis SDK is an SDK integrated in the webpage, and the application sharing event is a third-party analysis SDK.
  • the uniform resource locator URL of the webpage is The event that is reported when the first terminal is shared to the second terminal through the social sharing channel, and the URL of the shared webpage page carries the channel identifier of the social sharing channel;
  • the second receiving module 920 is configured to receive an application reflow event reported by the third-party analysis SDK, where the application reflow event is an event reported by the third-party analysis SDK when the URL of the webpage page is shared to the second terminal and accessed by the second terminal, and the application is reflowed.
  • the event carries a channel identifier of the social sharing channel, and the channel identifier is obtained by the third party analysis SDK from the URL of the webpage page;
  • the first obtaining module 930 is configured to obtain a return conversion rate of the webpage page on the social sharing channel according to the application sharing event and the application reflow event.
  • FIG. 10 is a schematic structural diagram of a data processing apparatus according to another embodiment of the present invention. Based on the shared monitoring data processing apparatus provided in FIG. 9, the apparatus further includes:
  • the first obtaining module 930 includes:
  • a first obtaining unit 931 a first obtaining unit 932, a second obtaining unit 933, a second obtaining unit 934, and a obtaining unit 935;
  • the first obtaining unit 931 is configured to obtain an identifier of the webpage page, a channel identifier of the social sharing channel, and a sharing time from the application sharing event;
  • the first obtaining unit 932 is configured to obtain, according to the identifier of the webpage page, the channel identifier of the social sharing channel, and the sharing time, the number of times the webpage page is shared by the social sharing channel within a predetermined time period;
  • the second obtaining unit 933 is configured to obtain an identifier of the webpage, a channel identifier of the social sharing channel, and a reflow time from the application reflow event;
  • the second obtaining unit 934 is configured to obtain, according to the identifier of the webpage page, the channel identifier of the social sharing channel, and the reflow time, the number of reflows of the webpage page being backed up during the predetermined time period;
  • the obtaining unit 935 is configured to divide the number of reflows by the number of times of sharing, and obtain a reflow conversion rate corresponding to the social sharing channel.
  • the application sharing event also carries: a browser type of the first terminal;
  • the device also includes:
  • the second obtaining module 940 is configured to obtain, according to the identifier of the webpage page, the channel identifier, the browser type, and the sharing time, the number of times the webpage pages are classified according to the type of the browser when sharing the webpage from the social sharing channel in the predetermined time period.
  • the application sharing event also carries: an operating system type of the first terminal;
  • the device also includes:
  • the third obtaining module 950 is configured to obtain, according to the identifier of the webpage page, the channel identifier, the operating system type, and the sharing time, the number of times of sharing the webpages according to the operating system type when the webpage pages are shared from the social sharing channel during the predetermined time period.
  • the application sharing event also carries: a geographical identifier of the first terminal;
  • the device also includes:
  • the fourth obtaining module 960 is configured to obtain, according to the identifier of the webpage, the channel identifier, the operating system type, and the sharing time, the number of times the webpage is classified according to the regional identifier when the webpage is shared from the social sharing channel within a predetermined time period.
  • FIG. 11 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention. Applicable to the first terminal provided in FIG. 1 or FIG. 2, the device includes:
  • the receiving module 1110 is configured to receive a sharing operation on a webpage page
  • the sharing module 1120 is configured to share the uniform resource locator URL of the webpage page to the second terminal according to the sharing operation, and the URL of the shared webpage page carries the channel identifier of the social sharing channel, and the channel identifier is used for
  • the third-party analysis SDK reports an application reflow event to the server when the URL of the web page is shared to the second terminal and accessed by the second terminal;
  • the calling module 1130 is configured to invoke a third-party analysis SDK to report an application sharing event to the server after successfully sharing the URL of the webpage.
  • the third-party analysis SDK is an SDK integrated in the webpage, and the server is used to share events and application reflow according to the application. The event gets the conversion rate of the page on the social sharing channel.
  • a social sharing code is integrated into the web page
  • Calling module 1130 including:
  • Calling unit 1131 generating unit 1132 and reporting unit 1133;
  • the calling unit 1131 is configured to: after the social sharing code successfully shares the URL of the webpage, the social sharing code invokes the third-party analysis SDK to go to the statistical interface, and analyzes the channel identifier of the social sharing channel by the third party;
  • the generating unit 1132 is configured to generate an application sharing event by using a third-party analysis SDK, where the application sharing event carries an identifier of the webpage, a channel identifier of the social sharing channel, and a sharing time;
  • the reporting unit 1133 is configured to report an application sharing event to the server by using a third-party analysis SDK.
  • the calling module 1130 is further configured to acquire, by using a third-party analysis SDK, a browser type of the first terminal;
  • the generating unit 1132 is further configured to generate, by using the third-party analysis SDK, an application sharing event that carries the identifier of the webpage, the channel identifier of the social sharing channel, the browser type, and the sharing time.
  • the calling module 1130 is further configured to acquire, by using a third-party analysis SDK, an operating system type of the first terminal;
  • the generating unit 1132 is further configured to generate, by using the third-party analysis SDK, an application sharing event that carries the identifier of the webpage, the channel identifier of the social sharing channel, the operating system type, and the sharing time.
  • the calling module 1130 is further configured to acquire, by using a third-party analysis SDK, a geographical identifier of the first terminal;
  • the generating unit 1132 is further configured to generate, by using the third-party analysis SDK, an application sharing event that carries the identifier of the webpage, the channel identifier of the social sharing channel, the regional identifier, and the sharing time.
  • FIG. 12 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention. Applicable to the second terminal provided in FIG. 1 or FIG. 2, the device includes:
  • the display module 1210 is configured to display a uniform resource locator URL of the webpage page shared by the first terminal through the social sharing channel, and the URL of the shared webpage page carries the channel identifier of the social sharing channel;
  • the receiving module 1220 is configured to receive an access operation for accessing a URL of the webpage page
  • the first obtaining module 1230 is configured to obtain a webpage page by using a URL according to the access operation, and the third-party analysis SDK is integrated into the webpage page;
  • the reporting module 1240 is configured to report an application reflow event to the server by using a third-party analysis SDK, where the application reflow event carries a channel identifier, and the server is configured to obtain a conversion rate of the webpage on the social sharing channel according to the application sharing event and the application reflow event, and the application
  • the sharing event is an event reported by the third party analysis SDK when the URL of the web page is shared by the first terminal to the second terminal through the social sharing channel.
  • the device also includes:
  • the second obtaining module 1250 is configured to obtain, by using a third-party analysis SDK, a channel identifier of the social sharing channel from the URL of the webpage page;
  • the generating module 1260 is configured to generate an application reflow event by using a third-party analysis SDK, where the application reflow event carries an identifier of the webpage, a channel identifier of the social sharing channel, and a reflow time.
  • An embodiment of the present invention further provides a data processing system, where the system includes: a server, a first terminal, and a second terminal.
  • the server is configured to perform the steps performed by the server in the embodiment shown in FIG. 3 and FIG. 4
  • the first terminal is configured to perform the steps performed by the first terminal in the embodiment shown in FIG. 3 and FIG.
  • the second terminal is configured to perform the steps performed by the second terminal in the embodiment shown in FIGS. 3 and 4.
  • FIG. 13 is a block diagram of a terminal 1300 according to an embodiment of the present invention.
  • the terminal may be the first terminal 120 or the second terminal 140.
  • the terminal 1300 may include an RF (Radio Frequency) circuit 1310, a memory 1320 including one or more computer readable storage media, an input unit 1330, a display unit 1340, a sensor 1350, an audio circuit 1360, and a WiFi (wireless fidelity, wireless).
  • the fidelity module 1370 includes a processor 1380 having one or more processing cores, and a power supply 1390 and the like. It will be understood by those skilled in the art that the device structure illustrated in FIG. 13 does not constitute a limitation to the device, and may include more or less components than those illustrated, or a combination of certain components, or different component arrangements. among them:
  • the RF circuit 1310 can be used for receiving and transmitting signals during and after receiving or transmitting information, in particular, receiving downlink information of the base station, and then processing it by one or more processors 1380; in addition, transmitting data related to the uplink to the base station.
  • the RF circuit 1310 includes, but is not limited to, an antenna, at least one amplifier, a tuner, one or more oscillators, a Subscriber Identity Module (SIM) card, a transceiver, a coupler, an LNA (Low Noise Amplifier). , duplexer, etc.
  • SIM Subscriber Identity Module
  • RF circuitry 1310 can also communicate with the network and other devices via wireless communication.
  • Wireless communication can use any communication standard or protocol, including but not limited to GSM (Global System of Mobile communication), GPRS (General Packet Radio Service), CDMA (Code Division Multiple Access) Divisional Multiple Access), WCDMA (Wideband Code Division Multiple Access), LTE (Long Term Evolution), e-mail, SMS (Short Messaging Service), and the like.
  • Memory 1320 can be used to store software programs as well as modules.
  • the processor 1380 executes various functional applications and data processing by running software programs and modules stored in the memory 1320.
  • the memory 1320 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may be stored according to The data created by the use of the terminal 1300 (such as audio data, phone book, etc.) and the like.
  • memory 1320 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, memory 1320 can also include a memory controller to provide access to memory 1320 by processor 1380 and input unit 1330.
  • Input unit 1330 can be used to receive input numeric or character information, as well as to generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function controls.
  • input unit 1330 can include touch-sensitive surface 1331 as well as other input devices 1332.
  • Touch-sensitive surface 1331 also referred to as a touch display or trackpad, can collect touch operations on or near the user (eg, the user uses a finger, stylus, etc., on any suitable object or accessory on touch-sensitive surface 1331 or The operation near the touch-sensitive surface 1331) and driving the corresponding connecting device according to a preset program.
  • the touch-sensitive surface 1331 may include two parts of a touch detection device and a touch controller.
  • the touch detection device detects the touch orientation of the user, and detects a signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts the touch information into contact coordinates, and sends the touch information.
  • the processor 1380 is provided and can receive commands from the processor 1380 and execute them.
  • the touch sensitive surface 1331 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic waves.
  • the input unit 1330 can also include other input devices 1332.
  • other input devices 1332 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, joysticks, and the like.
  • Display unit 1340 can be used to display information entered by the user or information provided to the user and various graphical user interfaces of device 130, which can be comprised of graphics, text, icons, video, and any combination thereof.
  • the display unit 1340 can include a display panel 1341.
  • the display panel 1341 can be configured in the form of an LCD (Liquid Crystal Display), an OLED (Organic Light-Emitting Diode), or the like.
  • the touch-sensitive surface 1331 may be overlaid on the display panel 1341. When the touch-sensitive surface 1331 detects a touch operation thereon or nearby, it is transmitted to the processor 1380 to determine the type of the touch event, and then the processor 1380 is The type of touch event provides a corresponding visual output on display panel 1341.
  • touch-sensitive surface 1331 and display panel 1341 are implemented as two separate components to implement input and input functions, in some embodiments, touch-sensitive surface 1331 can be integrated with display panel 1341 to effect input. And output function.
  • Terminal 1300 can also include at least one type of sensor 1350, such as a light sensor, motion sensor, and other sensors.
  • the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display panel 1341 according to the brightness of the ambient light, and the proximity sensor may close the display panel 1341 when the terminal 1300 moves to the ear. / or backlight.
  • the gravity acceleration sensor can detect the magnitude of acceleration in all directions (usually three axes). When it is stationary, it can detect the magnitude and direction of gravity.
  • the terminal 1300 can also be configured with gyroscopes, barometers, hygrometers, thermometers, infrared sensors and other sensors, here Let me repeat.
  • Audio circuit 1360, speaker 1321, and microphone 1322 can provide an audio interface between the user and terminal 1300.
  • the audio circuit 1360 can transmit the converted electrical data of the received audio data to the speaker 1321 and convert it into a sound signal output by the speaker 1321; on the other hand, the microphone 1322 converts the collected sound signal into an electrical signal, by the audio circuit 1360. After receiving, it is converted into audio data, and then processed by the audio data output processor 1380, transmitted to another device via the RF circuit 1310, or outputted to the memory 1320 for further processing.
  • the audio circuit 1360 may also include an earbud jack to provide communication of the peripheral earphones with the terminal 1300.
  • WiFi is a short-range wireless transmission technology
  • the terminal 1300 can help users to send and receive emails, browse web pages, and access streaming media through the WiFi module 1370, which provides wireless broadband Internet access for users.
  • FIG. 13 shows the WiFi module 1370, it can be understood that it does not belong to the essential configuration of the terminal 1300, and may be omitted as needed within the scope of not changing the essence of the invention.
  • the processor 1380 is a control center of the terminal 1300 that connects various portions of the entire device using various interfaces and lines, by running or executing software programs and/or modules stored in the memory 1320, and recalling data stored in the memory 1320, The various functions and processing data of the terminal 1300 are performed to perform overall monitoring of the device.
  • the processor 1380 may include one or more processing cores; optionally, the processor 1380 may integrate an application processor and a modem processor, where the application processor mainly processes an operating system, a user interface, and an application. Etc.
  • the modem processor primarily handles wireless communications. It will be appreciated that the above described modem processor may also not be integrated into the processor 1380.
  • the terminal 1300 also includes a power source 1390 (such as a battery) for powering various components.
  • the power source can be logically coupled to the processor 1380 through a power management system to manage functions such as charging, discharging, and power management through the power management system.
  • the power supply 1390 can also include any one or more of a DC or AC power source, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.
  • the terminal 1300 may further include a camera, a Bluetooth module, and the like, and details are not described herein again.
  • the terminal 1300 further includes a memory, where the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the data processing method executed by the first terminal 120 in each of the foregoing method embodiments, or implemented as described above. A data processing method performed by the second terminal 140 in each method embodiment.
  • FIG. 14 a structural diagram of a server provided by an embodiment of an embodiment of the present invention is shown.
  • This server is the server of server cluster 160.
  • the server 1400 includes a central processing unit (CPU) 1401, a system memory 1404 including a random access memory (RAM) 1402 and a read only memory (ROM) 1403, and a system memory 1404 and a central processing unit 1401.
  • the server 1400 also includes a basic input/output system (I/O system) 1406 that facilitates transfer of information between various devices within the computer, and mass storage for storing the operating system 1413, applications 1414, and other program modules 1415.
  • I/O system basic input/output system
  • the basic input/output system 1406 includes a display 1408 for displaying information and an input device 1409 such as a mouse or keyboard for user input of information.
  • the display 1408 and the input device 1409 are both connected to the central processing unit 1401 by an input/output controller 1410 connected to the system bus 1405.
  • the basic input/output system 1406 can also include an input output controller 1410 for receiving and processing input from a plurality of other devices, such as a keyboard, mouse, or electronic stylus.
  • input/output controller 1410 also provides output to a display screen, printer, or other type of output device.
  • the mass storage device 1407 is connected to the central processing unit 1401 by a mass storage controller (not shown) connected to the system bus 1405.
  • the mass storage device 1407 and its associated computer readable medium provide non-volatile storage for the server 1400. That is, the mass storage device 1407 can include a computer readable medium (not shown) such as a hard disk or a CD-ROI drive.
  • the computer readable medium can include computer storage media and communication media.
  • Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.
  • Computer storage media include RAM, ROM, EPROM, EEPROM, flash memory or other solid state storage technologies, CD-ROM, DVD or other optical storage, tape cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices.
  • RAM random access memory
  • ROM read only memory
  • EPROM Erasable programmable read-only memory
  • EEPROM electrically erasable programmable read-only memory
  • the server 1400 may also be operated by a remote computer connected to the network through a network such as the Internet. That is, the server 1400 can be connected to the network 1412 through a network interface unit 1411 connected to the system bus 1405, or can be connected to other types of networks or remote computer systems (not shown) using the network interface unit 1411. .
  • the memory stores at least one instruction, and at least one instruction is loaded and executed by the processor to implement a data processing method performed by the server cluster 160 in the various method embodiments described above.
  • a person skilled in the art may understand that all or part of the steps of implementing the above embodiments may be completed by hardware, or may be instructed by a program to execute related hardware, and the program may be stored in a computer readable storage medium.
  • the storage medium mentioned may be a read only memory, a magnetic disk or an optical disk or the like.
  • the storage medium stores at least one instruction, at least one program, code set, or instruction set, and at least one instruction, at least one program, code set, or instruction set is loaded and executed by the processor to implement various method embodiments as described above.
  • the data processing method provided in .

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Abstract

本发明实施例公开了一种数据处理方法、服务器、终端及系统,属于数据处理领域。所述方法包括:接收第三方分析SDK上报的应用分享事件和应用回流事件,根据应用分享事件和应用回流事件获得网页页面在社交分享渠道上的回流转化率。本发明实施例通过在网页页面的URL中设置社交分享渠道的渠道标识,集成在网页页面中的第三方分析SDK不仅能够在网页页面被分享时向服务器上报应用分享事件,还能够在网页页面被回流访问时从网页页面的URL中获取到渠道标识,进而向服务器上报携带有渠道标识的应用回流事件,使得服务器能够对H5应用在社交分享渠道中的应用回流事件进行监控,提高了对分享行为进行跟踪和监控的全面性和准确性。

Description

数据处理方法、服务器、终端及系统
本发明实施例要求于2017年02月23日提交中国专利局、申请号为2017101007853、发明名称为“数据处理方法、装置及系统”的中国专利申请的优先权,其全部内容通过引用结合在本发明实施例中。
技术领域
本发明实施例涉及数据处理领域,特别涉及一种数据处理方法、服务器、终端及系统。
背景技术
超文本链接标识语言5(Hypertext Markup Language 5,H5)应用是基于H5网页所开发的网页应用。H5应用可以是游戏应用、公众号或服务号所提供的服务应用以及办公应用等。
用户在使用H5应用时,可以将H5应用通过社交分享渠道进行分享传播。社交分享渠道是指将H5应用的页面链接分享至社交平台上其它用户的渠道,社交平台可以是即时通信平台、微博平台、博客平台等。H5应用的开发者希望能够监控该网页页面的应用分享事件,该应用分析事件是指网页页面的页面链接被终端A通过社交分享渠道分享至终端B时上报的事件。相关技术中提供的事件监控方法为:当终端A将该网页页面的页面链接利用社交平台分享给终端B时,社交平台利用自身提供的工具组件监控到本次分享行为,再由该工具组件向该社交平台的后台服务器上报应用分享事件,从而使得该社交平台能够监控到该网页页面的应用分享事件。
但当终端B对被分享的网页页面的页面链接进行回流访问时,需要先向H5应用的后台服务器发送访问请求,一方面,社交平台的上述工具组件无法监控到该访问请求,也就无法对该页面链接被分享至终端B且被终端B访问的事件进行监控;另一方面,即便该H5应用的后台服务器接收到了访问请求,H5应用的后台服务器也无法分辨出该访问请求中是由原始链接触发的还是被分享的链接触发的;因此,上述的事件监控方法仅能够监控到网页页面的应用分享事件,在该网页页面被分享后,无法对该网页页面被回流访问时的相关事件进行追踪和监控。
发明内容
为了解决相关技术中无法对网页页面被回流访问时的相关事件进行追踪和监控的问题,本发明实施例提供了一种数据处理方法、服务器、终端及系统。所述技术方案如下:
第一方面,提供了一种数据处理方法,用于服务器中,所述方法包括:
接收第三方分析软件开发工具包(Software Development Kit,SDK)上报的应用分享事件,所述第三方分析SDK是集成在网页页面中的SDK,所述应用分享事件是所述第三方分析SDK在所述网页页面的统一资源定位符(Uniform Resource Locator,URL)被第一终端通过社交分享渠道分享至第二终端时上报的事件,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识;
接收所述第三方分析SDK上报的应用回流事件,所述应用回流事件是所述第三方分析SDK在所述网页页面的URL分享至所述第二终端且被所述第二终端访问时上报的事件,所述应用回流事件携带有所述社交分享渠道的渠道标识,所述渠道标识是所述第三方分析SDK从所述网页页面的URL中获取到的;
根据所述应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
第二方面,提供了一种数据处理方法,应用于第一终端中,所述方法包括:
接收对网页页面的分享操作;
根据所述分享操作将所述网页页面的URL通过社交分享渠道分享至第二终端,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识,所述渠道标识用于供所述第三方分析SDK在所述网页页面的URL分享至所述第二终端且被所述第二终端访问时向服务器上报应用回流事件;
在成功分享所述网页页面的URL后,调用第三方分析SDK向所述服务器上报应用分享事件,所述第三方分析SDK是集成在所述网页页面中的SDK,所述服务器用于根据所述应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
第三方面,提供了一种数据处理方法,应用于第二终端中,所述方法包括:
显示第一终端通过社交分享渠道分享的网页页面的URL,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识;
接收用于访问所述网页页面的URL的访问操作;
根据所述访问操作通过所述URL获取所述网页页面,所述网页页面中集成有第三方分析SDK;
通过所述第三方分析SDK向服务器上报应用回流事件,所述应用回流事件携带有所述渠道标识,所述服务器用于根据应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述应用分享事件是所述第三方分析SDK在所述网页页面的URL被所述第一终端通过所述社交分享渠道分享至所述第二终端时上报的事件,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
第四方面,提供了一种数据处理装置,用于服务器中,所述装置包括:
第一接收模块,用于接收第三方分析SDK上报的应用分享事件,所述第三方分析SDK是集成在网页页面中的SDK,所述应用分享事件是所述第三方分析SDK在所述网页页面的统一资源定位符URL被第一终端通过社交分享渠道分享至第二终端时上报的事件,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识;
第二接收模块,用于接收所述第三方分析SDK上报的应用回流事件,所述应用回流事件是所述第三方分析SDK在所述网页页面的URL分享至所述第二终端且被所述第二终端访问时上报的事件,所述应用回流事件携带有所述社交分享渠道的渠道标识,所述渠道标识是所述第三方分析SDK从所述网页页面的URL中获取到的;
第一获得模块,用于根据所述应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
第五方面,提供了一种数据处理装置,应用于第一终端中,所述装置包括:
接收模块,用于接收对网页页面的分享操作;
分享模块,用于根据所述分享操作将所述网页页面的统一资源定位符URL通过社交分享渠道分享至第二终端,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识,所述渠道标识用于供所述第三方分析SDK在所述网页页面的URL分享至所述第二终端且被所述第二终端访问时向服务器 上报应用回流事件;
调用模块,用于在成功分享所述网页页面的URL后,调用第三方分析SDK向所述服务器上报应用分享事件,所述第三方分析SDK是集成在所述网页页面中的SDK,所述服务器用于根据所述应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
第六方面,提供了一种数据处理装置,应用于第二终端中,所述装置包括:
显示模块,用于显示第一终端通过社交分享渠道分享的网页页面的统一资源定位符URL,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识;
接收模块,用于接收用于访问所述网页页面的URL的访问操作;
第一获取模块,用于根据所述访问操作通过所述URL获取所述网页页面,所述网页页面中集成有第三方分析SDK;
上报模块,用于通过所述第三方分析SDK向服务器上报应用回流事件,所述应用回流事件携带有所述渠道标识,所述服务器用于根据应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述应用分享事件是所述第三方分析SDK在所述网页页面的URL被所述第一终端通过所述社交分享渠道分享至所述第二终端时上报的事件,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
第七方面,提供了一种数据处理系统,所述系统包括:服务器、第一终端和第二终端;
所述服务器包括上述第四方面提供的数据处理装置;
所述第一终端包括上述第五方面提供的数据处理装置;
所述第二终端包括上述第六方面提供的数据处理装置。
第八方面,提供了一种服务器,所述服务器包括处理器和存储器,所述存储器中存储有至少一条指令,所述至少一条指令由所述处理器加载并执行以实现如下步骤:
接收第三方分析SDK上报的应用分享事件,所述第三方分析SDK是集成在网页页面中的SDK,所述应用分享事件是所述第三方分析SDK在所述网页页面的统一资源定位符URL被第一终端通过社交分享渠道分享至第二终端时上报的事件,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠 道标识;
接收所述第三方分析SDK上报的应用回流事件,所述应用回流事件是所述第三方分析SDK在所述网页页面的URL分享至所述第二终端且被所述第二终端访问时上报的事件,所述应用回流事件携带有所述社交分享渠道的渠道标识,所述渠道标识是所述第三方分析SDK从所述网页页面的URL中获取到的;
根据所述应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
第九方面,提供了一种终端,所述终端包括处理器和存储器,所述存储器中存储有至少一条指令,所述至少一条指令由所述处理器加载并执行以实现如下步骤:
接收对网页页面的分享操作;
根据所述分享操作将所述网页页面的统一资源定位符URL通过社交分享渠道分享至第二终端,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识,所述渠道标识用于供所述第三方分析SDK在所述网页页面的URL分享至所述第二终端且被所述第二终端访问时向服务器上报应用回流事件;
在成功分享所述网页页面的URL后,调用第三方分析SDK向所述服务器上报应用分享事件,所述第三方分析SDK是集成在所述网页页面中的SDK,所述服务器用于根据所述应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
第十方面,提供了一种终端,所述终端包括处理器和存储器,所述存储器中存储有至少一条指令,所述至少一条指令由所述处理器加载并执行以实现如下步骤:
显示第一终端通过社交分享渠道分享的网页页面的统一资源定位符URL,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识;
接收用于访问所述网页页面的URL的访问操作;
根据所述访问操作通过所述URL获取所述网页页面,所述网页页面中集成有第三方分析SDK;
通过所述第三方分析SDK向服务器上报应用回流事件,所述应用回流事 件携带有所述渠道标识,所述服务器用于根据应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述应用分享事件是所述第三方分析SDK在所述网页页面的URL被所述第一终端通过所述社交分享渠道分享至所述第二终端时上报的事件,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
第十一方面,提供了一种数据处理系统,所述系统包括:服务器、第一终端和第二终端;
所述服务器包括上述第八方面提供的服务器;
所述第一终端包括上述第九方面提供的终端;
所述第二终端包括上述第十方面提供的终端。
本发明实施例提供的技术方案带来的有益效果是:
通过在网页页面的URL中设置社交分享渠道的渠道标识,使得集成在网页页面中的第三方分析SDK不仅能够在网页页面被分享时向服务器上报应用分享事件,还能够在网页页面被回流访问时从网页页面的URL中获取到渠道标识,向服务器上报携带有渠道标识的应用回流事件,对应的,服务器根据应用分享事件和应用回流事件获得网页页面在社交分享渠道上的回流转化率,进而使得服务器能够对H5应用在社交分享渠道中的应用回流事件进行追踪和监控,避免了相关技术中无法对网页页面被回流访问时的相关事件进行追踪和监控的问题,提高了对分享行为进行监控的全面性和准确性。
附图说明
为了更清楚地说明本发明实施例中的技术方案,下面将对实施例描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本发明实施例的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1是本发明实施例涉及的一种数据处理系统的结构示意图;
图2是本发明实施例一个示例性实施例涉及的一种数据处理系统的结构示意图;
图3是本发明实施例一个实施例提供的数据处理方法的流程图;
图4是本发明实施例另一个实施例提供的数据处理方法的流程图;
图5是本发明实施例一个实施例提供的数据处理方法的界面示意图;
图6是本发明实施例一个实施例提供的数据处理方法所获得的一天内分享次数的趋势图;
图7是本发明实施例另一个实施例提供的数据处理方法的界面示意图;
图8是本发明实施例另一个实施例提供的数据处理方法所获得的分享次数和回流转化率的示意图;
图9是本发明实施例一个实施例提供的数据处理装置的结构示意图;
图10是本发明实施例另一个实施例提供的数据处理装置的结构示意图;
图11是本发明实施例另一个实施例提供的数据处理装置的结构示意图;
图12是本发明实施例另一个实施例提供的数据处理装置的结构示意图;
图13是本发明实施例一个实施例提供的终端的结构方框图;
图14是本发明实施例一个实施例提供的服务器的结构方框图。
具体实施方式
为使本发明实施例的目的、技术方案和优点更加清楚,下面将结合附图对本发明实施例实施方式作进一步地描述。
首先,对本发明实施例涉及到的一些名词进行解释:
社交平台:是一种通过社交关系和/或共同兴趣(或共同利益)将人与人之间联系起来的网络架构,用户可以通过社交平台所提供的客户端进行即时通信、分享资源以及访问被分享的资源。
H5应用:是基于H5网页所开发的网页应用。可选的,H5应用为游戏应用、公众号或服务号所提供的服务应用以及办公应用中的一种应用。
社交分享渠道:是将网页页面的URL通过社交平台分享至其他终端上,供其他终端进行访问的渠道。
网页页面的URL:是指用于访问该网页页面的网页链接。在本发明实施例中,以网页页面为H5应用来举例说明,但网页页面也可以是其它类型的页面,并不局限于H5应用。
渠道标识:是用于在多个社交分享渠道中,唯一标识指定的社交分享渠道。可选的,渠道标识与社交分享渠道存在一一对应的关系。
比如,社交分享渠道1使用“TX”来标识,社交分享渠道2使用“WX”来标识,社交分享渠道3使用“WB”来标识。
第三方分析SDK:是由第三方服务器提供的用于对H5应用在社交分享渠道上的分享监控数据进行追踪、监控和统计的SDK。第三方分析SDK需要被开发者预先集成在H5应用中,第三方分析SDK用于将应用分享事件和/或应用回流事件上报至第三方服务器。这里的“第三方服务器”是指独立与社交平台的一方,但并不意味其一定与社交平台属于不同的拥有方,也有可能属于同一个拥有方的不同服务器。
应用分享事件:是第三方分析SDK在H5应用的URL被第一终端通过社交分享渠道分享至第二终端时上报的事件。此处的“第一终端”是泛指发起分享的用户所使用的终端,并不仅仅代表一个终端;此处的“第二终端”是泛指分享接收方对被分享的H5应用的URL进行回流访问的用户所使用的终端,也不仅仅代表一个终端。
应用回流事件:第三方分析SDK在H5应用的URL分享至第二终端且被第二终端访问时上报的事件。
分享次数:是预定时间段内H5应用通过社交分享渠道被分享的次数。可选的,预定时间段可以是一小时、一天、一周或一个月。
回流次数:是预定时间段内H5应用在分享后被回流访问的次数。可选的,预定时间段可以是一小时、一天、一周或一个月。
回流转化率:是回流次数除以分享次数得到的转化率,用于表征社交分享渠道的回流转化效果。比如,一个网页页面在社交平台A上被分享了100次,有400个用户对分享后的网页页面进行了访问,则回流转化率为400%。
其中,分享次数、回流次数和回流转化率都可以称之为“分享监控数据”。
请参考图1,其示出了本发明实施例涉及的一种数据处理系统的结构示意图。该系统包括至少一个第一终端120、至少一个第二终端140、服务器集群160和至少一个开发者终端180。
第一终端120中运行有浏览器或者具有浏览网页能力的客户端,具有浏览网页能力的客户端可以是社交平台的客户端,比如具有浏览网页能力的即时通信客户端、购物客户端和支付客户端等。该浏览器或者客户端可以访问和分享网页页面。该网页页面中预先集成有第三方分析SDK。第一终端120可以是手机、平板电脑、电子书阅读器、动态影像专家压缩标准音频层面3(Moving Picture Experts Group Audio Layer III,MP3)播放器、动态影像专家压缩标准 音频层面4(Moving Picture Experts Group Audio Layer IV,MP4)播放器、膝上型便携计算机和台式计算机等等。第一终端120用于在接收到用户的分享操作时,通过社交分享渠道将网页页面的URL分享至第二终端140,第一终端120中的第三方分析SDK用于向服务器集群160上报应用分享事件。其中,被分享的该网页页面的URL中携带有社交分享渠道的渠道标识。
第一终端120与第二终端140之间通过通信网络相连。可选的,通信网络是有线网络或无线网络。
第二终端140中运行有浏览器或者具有浏览网页能力的客户端,具有浏览网页能力的客户端可以是社交平台的客户端,比如具有浏览网页能力的即时通信客户端、购物客户端和支付客户端等。该浏览器或者客户端可以接收第一终端对网页页面的URL的分享,并访问被分享的网页页面。第二终端140可以是手机、平板电脑、电子书阅读器、MP3播放器、MP4播放器、膝上型便携计算机和台式计算机等等。第三方分析SDK用于向服务器集群160中上报应用回流事件。第二终端140用于接收第一终端分享的网页页面的URL并在接收到用户的点击操作时,回流访问该网页页面。第二终端140中被回流访问的网页页面中集成有第三方分析SDK,该第三方分析SDK用于在被分享的网页页面被回流访问时,向服务器集群160上报应用回流事件。其中,该应用回流事件携带有社交分享渠道的渠道标识,该渠道标识是第三方分析SDK从被分享的网页页面的URL中获取到的。
需要说明的是,在实际应用中,第一终端120和第二终端140可以是两个具有不同功能的终端,其中第一终端120具备向服务器集群160上报应用分享事件的功能,第二终端140具备向服务器集群160上报应用回流事件的功能。或者,第一终端120和第二终端140也可以是两个具有相同功能的终端,该终端同时具备向服务器集群160上报应用分享事件和应用回流事件的功能。当该终端用于实现本申请实施例中第一终端侧的功能时,该终端即作为第一终端120;当该终端用于实现本申请实施例中第二终端侧的功能时,该终端即作为第二终端140。在实际应用中,对于同一个终端来讲,其可以作为第一终端120,也可以作为第二终端140。
下面,仅以第一终端120和第二终端140是两个具有不同功能的终端,第一终端120具备向服务器集群160上报应用分享事件的功能,第二终端140具备向服务器集群160上报应用回流事件的功能为例进行说明。
服务器集群160分别与第一终端120和第二终端140通过通信网络相连。可选的,通信网络是有线网络或无线网络。
服务器集群160是一台服务器,或者是若干台服务器,或者是一个虚拟化平台,或者是一个云计算服务中心。服务器集群160用于接收第一终端120中第三方分析SDK上报的应用分享事件和第二终端140中的第三方分析SDK上报的应用回流事件,并根据应用分享事件和应用回流事件获得网页页面在社交分享渠道上的回流转化率。
开发者终端180具有展示数据的能力。开发者终端180可以是手机、平板电脑、电子书阅读器、MP3播放器、MP4(播放器、膝上型便携计算机和台式计算机等等。
可选的,开发者终端180接收服务器集群160发送的分享次数、回流次数和回流转化率等分享监控数据,根据这些分享监控数据生成相应的报表和/或图表信息并展示。
开发者终端180与服务器集群160之间通过通信网络相连。可选的,通信网络是有线网络或无线网络。
通常情况下,当第一终端120通过社交分享渠道将网页页面的URL分享至第二终端140时,第一终端120中的第三方分析SDK向服务器集群160上报该应用分享事件,其中,被分享的网页页面的URL中携带有该社交分享渠道的渠道标识;当第二终端140接收第一终端分享的网页页面的URL,并访问该网页页面的URL时,该网页页面中所集成的第三方分析SDK从被分享的网页页面的URL中获取到渠道标识,向服务器集群160上报携带有该渠道标识的应用回流事件。对应的,服务器集群160根据接收到的应用分享事件和应用回流事件,获得该网页页面在该社交分享渠道上的回流转化率。
可选的,上述的无线网络或有线网络使用标准通信技术和/或协议。网络通常为因特网、但也可以是任何网络,包括但不限于局域网(Local Area Network,LAN)、城域网(Metropolitan Area Network,MAN)、广域网(Wide Area Network,WAN)、移动、有线或者无线网络、专用网络或者虚拟专用网络的任何组合)。在一些实施例中,使用包括超文本标记语言(Hyper Text Mark-up Language,HTML)、可扩展标记语言(Extensible Markup Language,XML)等的技术和/或格式来代表通过网络交换的数据。此外还可以使用诸如安全套接字层(Secure Socket Layer,SSL)、传输层安全(Transport Layer Security,TLS)、 虚拟专用网络(Virtual Private Network,VPN)、网际协议安全(Internet Protocol Security,IPsec)等常规加密技术来加密所有或者一些链路。在另一些实施例中,还可以使用定制和/或专用数据通信技术取代或者补充上述数据通信技术。
基于图1所示的系统,请参考图2,其示出了本发明实施例一个示例性实施例涉及的一种数据处理系统的结构示意图。
第一终端120中的浏览器或客户端中打开有H5页面,该H5页面中被开发者预先集成有第三方分析SDK和社交分享代码。
可选的,第一终端120中的社交分享代码用于在成功分享网页页面的URL后,调用第一终端120中的第三方分析SDK的去向统计接口,向第三方分析SDK传递社交分享渠道的渠道标识;第三方分析SDK根据接收到的渠道标识,生成应用分享事件,该应用分享事件至少携带有网页页面的标识、社交分享渠道的渠道标识和分享时间,然后第三方分析SDK向服务器集群160上报该应用分享事件。
在第一终端120通过社交分享渠道将H5页面的URL分享至第二终端140后,第二终端140中的浏览器或客户端可以根据用户的点击访问被分享的H5页面,该H5页面中集成有第三方分析SDK和社交分享代码。
可选的,第二终端140中的第三方分析SDK从网页页面的URL中获取社交分享渠道的渠道标识,生成应用回流事件,该应用回流事件携带有网页页面的标识、社交分享渠道的渠道标识和回流时间,然后第三方分析SDK向服务器集群160上报该应用回流事件。
服务器集群160包括接入服务器162、日志服务器164、实时计算节点166和离线计算节点168。
可选的,接入服务器162用于接收第一终端120中的第三方分析SDK上报的应用分享事件和第二终端140中的第三方分析SDK上报的应用回流事件,并将该应用分享事件和应用回流事件发送给日志服务器164和实时计算节点166。
可选的,日志服务器164用于存储接收到的应用分享事件和应用回流事件,并将应用分享事件和应用回流事件转换为结构化数据后,发送至离线计算节点168进行存储和计算;对应的,离线计算节点168用于根据应用分享事件和应用回流事件,在离线情况下获得网页页面在社交分享渠道上的回流转化率,并 将计算出的回流转化率发送至开发者终端180。
可选的,实时计算节点166用于根据接收到的应用分享事件,获得预定时间段内网页页面从社交分享渠道进行分享的分享次数;实时计算节点166还用于根据接收到的应用回流事件,获得预定时间段内网页页面被回流访问的回流次数,并将实时获得的分享次数和回流次数发送至开发者终端180。
请参考图3,其示出了本发明实施例一个实施例提供的分享监控数据处理方法的流程图。本实施例以该分享监控数据处理方法应用于图1或图2所示的数据处理系统中来举例说明。该分享监控数据处理方法包括:
步骤301,第一终端接收对网页页面的分享操作。
可选的,第一用户在第一终端的浏览器或客户端中打开网页页面,比如H5应用。当第一用户需要分享网页页面时,发起对该网页页面进行分享的分享操作。对应的,第一终端接收到对应于网页页面的分享入口的分享操作。
其中,分享入口是H5应用的主界面上提供的入口,或者,是H5应用中的网页页面被打开后显示的入口。分享入口是用于启动分享功能的可操作控件。示意性的,分享入口的类型包括按钮、可操控的条目、滑块中的至少一种。本实施例对分享入口的位置和类型均不加以限定。
分享操作是用于触发启动分享入口对应的分享功能的用户操作。示意性的,分享操作包括点击操作、滑动操作、按压操作、长按操作中的任意一种或多种的组合。
在其它可能的实现方式中,分享操作也可以语音形式实现。比如,用户在第一终端中以语音形式输入分享入口的语音信号,第一终端获取到语音信号之后,对该语音信号进行解析获取语音内容,当语音内容中存在与分享入口的预设信息相匹配的关键字词时,即第一终端确定该分享入口被触发。
可选的,开发者在该网页页面中预先集成有第三方分析SDK和社交分享代码。第三方分析SDK是用于对网页页面在社交分享渠道上的分享行为进行监控和统计的SDK,而社交分享代码是用于将网页页面的URL在社交平台上进行分享的代码。
步骤302,第一终端根据分享操作将网页页面的URL通过社交分享渠道分享至第二终端。
其中,被分享的网页页面的URL中携带有社交分享渠道的渠道标识,该 渠道标识用于供第三方分析SDK在网页页面的URL分享至第二终端且被第二终端访问时向服务器上报应用回流事件。
可选的,该网页页面的开发者预先在网页页面的原始URL后面添加渠道标识。
其中,渠道标识的取值用于唯一标识本次分享所使用的社交分享渠道。当使用不同的社交分享渠道进行分享时,该渠道标识的取值不同。渠道标识包括字母、数字和标点符号中的至少一种,该渠道标识可以是开发者设置的,也可以是社交平台预设的。
比如,预先设置网页页面的URL为“http://t.mta/share?cktag=xx_moments”,其中,“http://t.mta/share”为网页页面的原始URL,在“?”后添加渠道标识“cktag=xx_moments”,其中,cktag表示该参数是渠道标识,xx_moments是渠道标识的取值。
步骤303,第一终端在成功分享网页页面的URL后,调用第三方分析SDK向服务器上报应用分享事件。
其中,第三方分析SDK是集成在网页页面中的SDK。可选的,该应用分享事件携带有:网页页面的标识、社交分享渠道的渠道标识和分享时间。
步骤304,服务器接收第三方分析SDK上报的应用分享事件。
可选的,服务器根据接收到的应用分享事件,实时统计网页页面在预定时间段内从社交分享渠道进行分享的分享次数。
可选的,预定时间段是服务器默认设置的,或者是自定义设置的。示意性的,该预定时间段是一天。本实施例对此不加以限定。
步骤305,第二终端显示第一终端通过社交分享渠道分享的网页页面的URL。
可选的,当第一终端将网页页面的URL通过社交分享渠道分享至第二终端后,第二终端在对应的社交平台的客户端中接收该URL,并显示该URL。
比如,社交分享渠道是对应于即时通信平台A的渠道,第二终端通过即时通信平台A的客户端接收到该网页页面的URL1时,在即时通信平台A的客户端上接收并显示该URL1。
步骤306,第二终端接收用于访问网页页面的URL的访问操作。
可选的,当第二终端显示网页页面的URL时,用户对该网页页面的URL进行访问操作,第二终端接收访问操作。
其中,访问入口是显示被分享的网页页面的URL时显示的入口。访问入口是用于启动访问功能的可操作控件。示意性的,访问入口的类型包括按钮、可操控的条目、滑块中的至少一种。本实施例对访问入口的位置和类型均不加以限定。
访问操作是用于触发启动访问入口对应的访问功能的用户操作。示意性的,访问操作包括点击操作、滑动操作、按压操作、长按操作中的任意一种或多种的组合。
在其它可能的实现方式中,访问操作也可以语音形式实现。比如,用户在第二终端中以语音形式输入访问入口的语音信号,第二终端获取到语音信号之后,对该语音信号进行解析获取语音内容,当语音内容中存在与访问入口的预设信息相匹配的关键字词时,即第二终端确定该访问入口被触发。
比如,第二终端在即时通信平台A的客户端上接收并显示该网页页面的URL后,第二终端的用户希望打开该URL进行查看,则点击该URL。
步骤307,第二终端根据访问操作通过URL获取网页页面,网页页面中集成有第三方分析SDK。
可选的,当第二终端接收到访问操作时,根据该网页页面的URL获取待访问的网页页面。
步骤308,第二终端通过第三方分析SDK向服务器上报应用回流事件,应用回流事件携带有渠道标识。
可选的,若第二终端访问的网页页面为第一终端通过社交分享渠道分享的网页页面,则该网页页面的URL中携带有渠道标识,第二终端通过第三方分析SDK从网页页面的URL中获取到渠道标识,根据该渠道标识生成应用回流事件,第二终端将生成的应用回流事件上报给服务器。
可选的,步骤305至步骤308与步骤303至步骤304并列执行,本实施例对此不加以限定。
步骤309,服务器接收第三方分析SDK上报的应用回流事件。
其中,应用回流事件是第三方分析SDK在网页页面的URL分享至第二终端且被第二终端访问时上报的事件,应用回流事件携带有社交分享渠道的渠道标识,渠道标识是第三方分析SDK从网页页面的URL中获取到的。
步骤310,服务器根据应用分享事件和应用回流事件获得网页页面在社交 分享渠道上的回流转化率。
可选的,服务器根据应用分享事件获得网页页面从社交分享渠道进行分享的分享次数;根据接收到的应用回流事件,获得网页页面被回流访问的回流次数。服务器将回流次数除以分享次数,得到社交分享渠道对应的回流转化率。
综上所述,通过在网页页面的URL中设置社交分享渠道的渠道标识,使得集成在网页页面中的第三方分析SDK不仅能够在网页页面被分享时向服务器上报应用分享事件,还能够在网页页面被回流访问时从网页页面的URL中获取到渠道标识,向服务器上报携带有渠道标识的应用回流事件,对应的,服务器根据应用分享事件和应用回流事件获得网页页面在社交分享渠道上的回流转化率,进而使得服务器能够对H5应用在社交分享渠道中的应用回流事件进行追踪和监控,避免了相关技术中无法对网页页面被回流访问时的相关事件进行追踪和监控的问题,提高了对分享行为进行监控的全面性和准确性。
请参考图4,其示出了本发明实施例另一个实施例提供的数据处理方法的流程图。本实施例以该数据处理方法应用于图2所示的数据处理系统中来举例说明。该数据处理方法包括:
步骤401,第一终端接收对网页页面的分享操作。
可选的,第一终端接收对网页页面的分享操作时,执行社交分享代码。
步骤402,第一终端根据分享操作将网页页面的URL通过社交分享渠道分享至第二终端。
其中,被分享的网页页面的URL中携带有社交分享渠道的渠道标识。
可选的,第一终端根据分享操作,通过社交分享代码将网页页面的URL通过社交分享渠道分享至第二终端。
比如,结合参考图5,该网页页面为H5应用“AA游戏”的页面,当第一终端接收对H5应用“AA游戏”的网页页面的分享操作,该分享操作为将网页页面的网页页面的URL分享至社交分享渠道“xx朋友圈”时,第一终端执行预设的与该社交分享渠道对应的社交分享代码“MtaH5,clickShare(“wechat_moments”),”将要分享的网页页面的URL“http://t.mta/share?cktag=xx_moments”通过社交分享渠道“xx朋友圈”分享至第二终端。
步骤403,第一终端在社交分享代码成功分享网页页面的URL后,由社交分享代码调用第三方分析SDK的去向统计接口,向第三方分析SDK传递社交 分享渠道的渠道标识。
可选的,开发者预先设置社交分享代码在成功分享后,回调第三方分析SDK的去向统计接口。
第一终端在社交分享代码成功分享网页页面的URL后,社交分享代码获取该网页页面的URL中的渠道标识,并通过去向统计接口向第三方分析SDK传递该渠道标识。
步骤404,第一终端通过第三方分析SDK生成应用分享事件,应用分享事件携带有网页页面的标识、社交分享渠道的渠道标识和分享时间。
步骤405,第一终端通过第三方分析SDK向接入服务器上报应用分享事件。
需要说明的是,第一终端通过第三方分析SDK向服务器上报应用分享事件的过程可参考上述实施例中的相关细节,在此不再赘述。
步骤406,接入服务器接收第三方分析SDK上报的应用分享事件。
可选的,接入服务器接收第三方分析SDK上报的应用分享事件,并分别向日志服务器和实时计算节点发送该应用分享事件。
可选的,日志服务器接收应用分享事件后,将该应用分享事件转化为结构化数据并存储该应用分享事件,以便离线计算节点每隔预定时间间隔访问日志服务器中存储的结构化数据。
比如,回流转化率每隔一天计算一次,离线计算节点在当天的凌晨1点访问前一天存储的结构化数据,对前一天存储的结构化数据进行计算,从而计算得到回流转化率。
步骤407,实时计算节点从应用分享事件中获取网页页面的标识、社交分享渠道的渠道标识和分享时间。
可选的,实时计算节点从应用分享事件中获取网页页面的标识、社交分享渠道的渠道标识和分享时间。
步骤408,实时计算节点根据网页页面的标识、社交分享渠道的渠道标识和分享时间,获得预定时间段内网页页面从社交分享渠道进行分享的分享次数。
可选的,实时计算节点每隔预定时间段为网页页面设置一个统计值,当接收到新的应用分享事件时,根据网页页面的标识、社交分享渠道的渠道标识和分享时间,对该统计值进行累加;示意性的,预定时间段为一天或一周或一个 月。本实施例对此不加以限定。
在一种可能的实现方式中,预定时间段为2016年10月29日零点至2016年10月30日零点,实时计算节点每天都会根据网页页面的标识和分享时间,实时统计该网页页面从不同渠道标识对应的社交分享渠道进行分享的分享次数。
可选的,当开发者终端发送查看请求时,实时计算节点将获得的每个渠道标识对应的社交分享渠道的分享次数发送至开发者终端,开发者终端根据接收到的分享次数,生成预定时间段内与该社交分享渠道对应的分享次数的趋势图,并展示该趋势图。如图6所示,实时计算节点在获得网页页面“AA游戏”在社交分享渠道“xx_moments”上的当天分享次数后,如果开发者终端向实时计算节点发送查看请求,则实时计算节点向“AA游戏”对应的开发者终端发送统计结果,该统计结果为在2016年10月29日零点至2016年10月30日零点内“AA游戏”的网页页面从“xx朋友圈”进行分享的分享次数为50次。
在另一种可能的实现方式中,预定时间段为2016年10月01日零点至2016年11月01日零点,实时计算节点在该预定时间段内根据网页页面的标识和分享时间,获得该网页页面从不同渠道标识对应的社交分享渠道进行分享的分享次数。
实时计算节点将获得的分享次数发送至开发者终端,开发者终端根据接收到的分享次数,生成预定时间段内与该社交分享渠道对应的分享次数的渠道对比表,并展示该渠道对比表。如表一所示,其示出了H5应用“AA游戏”的网页页面在2016年10月01日零点至2016年11月01日零点的30天内在各个社交分享渠道中的分享次数。该表一还包括社交分享渠道、预设的渠道标识和预设的社交分享代码。
表一
Figure PCTCN2018074107-appb-000001
Figure PCTCN2018074107-appb-000002
另一方面,在第一终端对网页页面的URL通过社交分享渠道进行分享后,第二终端会接收到该网页页面的URL。
步骤409,第二终端显示第一终端通过社交分享渠道分享的网页页面的URL,被分享的网页页面的URL中携带有社交分享渠道的渠道标识。
步骤410,第二终端接收用于访问网页页面的URL的访问操作。
比如,第二终端在社交平台的客户端上接收并显示该网页页面的URL后,第二终端的用户希望打开该URL进行查看,则点击该URL。
可选的,第二终端中被访问的网页页面集成有第三方分析SDK。
步骤411,第二终端根据访问操作通过URL获取网页页面。
步骤412,第二终端通过第三方分析SDK从网页页面的URL中获取社交分享渠道的渠道标识。
可选的,结合参考图7,该H5应用为“AA游戏”,第二终端显示第一终端通过社交分享渠道“xx朋友圈”分享的“AA游戏”的网页页面的URL,当用户对该“AA游戏”的URL“http://t.mta/share?cktag=xx_moments”进行访问操作时,第二终端接收该访问操作,并根据访问操作通过URL向网页服务器获取“AA游戏”的网页页面,并通过第三方分析SDK从该网页页面的URL中获取“xx朋友圈”的渠道标识“xx_moments”。
步骤413,第二终端通过第三方分析SDK生成应用回流事件,应用回流事件携带有网页页面的标识、社交分享渠道的渠道标识和回流时间。
步骤414,第二终端通过第三方分析SDK向服务器上报应用回流事件。
步骤415,接入服务器接收第三方分析SDK上报的应用回流事件。
可选的,接入服务器接收第三方分析SDK上报的应用回流事件,并分别向日志服务器和实时计算节点发送该应用回流事件。
可选的,日志服务器接收并存储该应用回流事件,将该应用回流事件转化为结构化数据并存储该应用回流事件,以便离线计算节点每隔预定时间间隔访问日志服务器中存储的结构化数据。
步骤416,实时计算节点从应用回流事件中获取网页页面的标识、社交分享渠道的渠道标识和回流时间。
可选的,实时计算节点和/或离线计算节点从应用回流事件中获取网页页面 的标识、社交分享渠道的渠道标识和回流时间。
步骤417,实时计算节点根据网页页面的标识、社交分享渠道的渠道标识和回流时间,获得预定时间段内网页页面被回流访问的回流次数。
可选的,实时计算节点根据获取的网页页面的标识、社交分享渠道的渠道标识和回流时间,获得预定时间段内网页页面被回流访问的回流次数。
当开发者终端向实时计算节点发送查看请求时,实时计算节点将获得的回流次数发送至与网页页面的标识对应的开发者终端。
可选的,预定时间段为一天或一周或一个月,回流次数的统计过程可参考分享次数的统计过程,在此不再赘述。
步骤418,离线计算节点将回流次数除以分享次数,得到社交分享渠道对应的回流转化率。
可选的,离线计算节点每隔预定时间间隔访问日志服务器存储的应用分享事件和应用回流事件,根据网页页面的标识、社交分享渠道的渠道标识、分享时间和回流时间分别获得对应的分享次数和回流次数,并将回流次数除以分享次数,得到社交分享渠道对应的回流转化率。
结合参考图8,离线计算节点根据网页页面的标识“AA游戏”、社交分享渠道的渠道标识“xx_moments”、分享时间和回流时间,获得在预定时间间隔内“AA游戏”的网页页面从社交分享渠道“xx朋友圈”中进行分享的分享次数为150次,进行回流访问的回流次数为60次,则将回流次数除以分享次数,得到该社交分享渠道“xx朋友圈”对应的回流转化率为40%;离线计算节点根据网页页面的标识“AA游戏”、社交分享渠道的渠道标识“ss”、分享时间和回流时间,获得在预定时间间隔内“AA游戏”的网页页面从社交分享渠道“ss微博”中进行分享的分享次数为100次,进行回流访问的回流次数为25次,则将回流次数除以分享次数,得到该社交分享渠道“ss微博”对应的回流转化率为25%;其中,“AA游戏”的网页页面被分享的总分享次数为250次,从社交分享渠道“xx朋友圈”进行分享的分享次数占总分享次数的为60%,从社交分享渠道“ss微博”进行分享的分享次数占总分享次数的为40%。当开发者终端发送查看请求时,离线计算节点将与每个渠道标识对应的分享次数、回流次数和回流转化率发送给“AA游戏”对应的开发者终端,开发者终端根据接收到的与每个渠道标识对应的分享次数、回流次数和回流转化率,生成预定时间段内与各个社交分享渠道对应的回流转化率的图表,并展示该图表。
综上所述,由于在网页页面的URL中设置社交分享渠道的渠道标识,集成在网页页面中的第三方分析SDK不仅能够在网页页面被分享时向服务器上报应用分享事件,还能够在网页页面被回流访问时从网页页面的URL中获取到渠道标识,进而向服务器上报携带有渠道标识的应用回流事件,服务器根据应用分享事件和应用回流事件获得网页页面在社交分享渠道上的回流转化率;使得服务器能够对H5应用在社交分享渠道中的应用回流事件进行追踪和监控,从而根据该应用分享事件和该应用回流事件得到对应的回流转化率,提高了对分享行为进行监控的全面性和准确性。
需要说明的是,步骤404至步骤408存在几种可能的替代实现方式,包括但不限于以下几种可能的实现方式:
在第一种可能的实现方式中:
1、第一终端通过第三方分析SDK获取第一终端的浏览器类型。
可选的,浏览器类型包括IE、FF、Opera、Safari、Chrome浏览器、第三方应用的内置浏览器中的至少一种。
2、第一终端通过第三方分析SDK生成携带有网页页面的标识、社交分享渠道的渠道标识、浏览器类型和分享时间的应用分享事件。
3、第一终端通过第三方分析SDK向服务器上报应用分享事件。对应的,服务器接收第三方分析SDK上报的应用分享事件。
4、服务器根据网页页面的标识、渠道标识、浏览器类型和分享时间,获得预定时间段内网页页面从社交分享渠道进行分享时按照浏览器类型进行分类的分享次数。
比如,第一终端通过第三方分析SDK获取到的浏览器类型为IE浏览器,第一终端通过第三方分析SDK生成应用分享事件,该应用分享事件携带有网页页面的标识“AA游戏”、社交分享渠道的渠道标识“xx_moments”、浏览器类型“IE浏览器”和分享时间,第一终端通过第三方分析SDK向服务器上报该应用分享事件。对应的,服务器接收该应用分享事件,获得在预定时间段内AA游戏的网页页面从“IE浏览器”分享至xx朋友圈的分享次数。
又比如,第一终端通过第三方分析SDK获取到的浏览器类型为第三方应用A的内置浏览器,第一终端通过第三方分析SDK生成应用分享事件,该应用分享事件携带有网页页面的标识“AA游戏”、社交分享渠道的渠道标识“xx_moments”、浏览器类型“第三方应用A的内置浏览器”和分享时间,第一终 端通过第三方分析SDK向服务器上报该应用分享事件。对应的,服务器接收该应用分享事件,获得在预定时间段内AA游戏的网页页面从“第三方应用A的内置浏览器”分享至xx朋友圈的分享次数。
综上所述,本实施例还通过第一终端通过第三方分析SDK获取第一终端的浏览器类型,并通过第三方分析SDK向服务器上报携带有浏览器类型的应用分享事件,使得服务器能够按照浏览器类型统计分享次数,进一步提高了分享监控数据的准确性。
在第二种可能的实现方式中:
1、第一终端通过第三方分析SDK获取第一终端的操作系统类型。
可选的,操作系统类型包括安卓系统、苹果ios系统中的至少一种。
2、第一终端通过第三方分析SDK生成携带有网页页面的标识、社交分享渠道的渠道标识、操作系统类型和分享时间的应用分享事件。
3、第一终端通过第三方分析SDK向服务器上报应用分享事件。对应的,服务器接收第三方分析包SDK上报的应用分享事件。
4、服务器根据网页页面的标识、渠道标识、操作系统类型和分享时间,获得预定时间段内网页页面从社交分享渠道进行分享时按照操作系统类型进行分类的分享次数。
比如,第一终端通过第三方分析SDK获取到的操作系统类型为安卓系统,第一终端通过第三方分析SDK生成应用分享事件,该应用分享事件携带有网页页面的标识“AA游戏”、社交分享渠道的渠道标识“xx_moments”、操作系统类型“安卓系统”和分享时间,第一终端通过第三方分析SDK向服务器上报该应用分享事件。对应的,服务器接收该应用分享事件,获得预定时间段内AA游戏的网页页面在采用“安卓系统”的终端上被分享至xx朋友圈的分享次数。
又比如,第一终端通过第三方分析SDK获取到的操作系统类型为苹果ios系统,第一终端通过第三方分析SDK生成应用分享事件,该应用分享事件携带有网页页面的标识“AA游戏”、社交分享渠道的渠道标识“xx_moments”、操作系统类型“苹果ios系统”和分享时间,第一终端通过第三方分析SDK向服务器上报该应用分享事件。对应的,服务器接收该应用分享事件,获得预定时间段AA游戏网页页面在采用“苹果ios系统”的终端上被分享至xx朋友圈的分享次数。
综上所述,本实施例还通过第一终端通过第三方分析SDK获取第一终端 的操作系统类型,并通过第三方分析SDK向服务器上报携带有操作系统类型的应用分享事件,使得服务器能够按照操作系统类型,获得预定时间段内网页页面从社交分享渠道进行分享时进行分类的分享次数,提高了分享监控数据的全面性和准确性。
在第三种可能的实现方式中:
1、第一终端通过第三方分析SDK获取第一终端所处的地域标识。
可选的,地域标识用于标识第一终端所处的地理位置;示意性的,当第一终端位于北京,则对应的地域标识为“北京”。
2、第一终端通过第三方分析SDK生成携带有网页页面的标识、社交分享渠道的渠道标识、地域标识和分享时间的应用分享事件。
3、第一终端通过第三方分析SDK向服务器上报应用分享事件。对应的,服务器接收第三方分析SDK上报的应用分享事件。
4、服务器根据网页页面的标识、渠道标识、地域标识和分享时间,获得预定时间段内网页页面从社交分享渠道进行分享时按照地域标识进行分类的分享次数。
比如,第一终端通过第三方分析SDK获取到的地域标识为“北京”,第一终端通过第三方分析SDK生成应用分享事件,该应用分享事件携带有网页页面的标识“AA游戏”、社交分享渠道的渠道标识“xx_moments”、地域标识“北京”和分享时间,第一终端通过第三方分析SDK向服务器上报该应用分享事件。对应的,服务器接收该应用分享事件,获得预定时间段内AA游戏网页页面在属于“北京”地区的终端上被分享至xx朋友圈的分享次数。
综上所述,本实施例还通过第一终端通过第三方分析SDK获取第一终端的地域标识,并通过第三方分析SDK向服务器上报携带有地域标识的应用分享事件,使得服务器能够按照地域标识,获得预定时间段内网页页面从社交分享渠道进行分享时进行分类的分享次数,提高了分享监控数据的全面性和准确性。
需要说明的是,上述的几个可能的实现方式可以单独实施、也可以任意两个实现方式结合实施,还可以全部三个实现方式结合实施,此乃本领域技术人员根据上述各个可能的实现方式所易于思及的,本发明实施例不对这几种可能的实现方式结合实施的方式一一重复赘述。
下面为本发明实施例中的装置实施例,对于装置实施例中未详尽描述的细节,可以结合参考上述一一对应的方法实施例。
请参考图9,其示出了本发明实施例一个实施例提供的数据处理装置的结构示意图。应用于如图1或图2所提供的服务器集群中,该装置包括:
第一接收模块910,用于接收第三方分析SDK上报的应用分享事件,第三方分析SDK是集成在网页页面中的SDK,应用分享事件是第三方分析SDK在网页页面的统一资源定位符URL被第一终端通过社交分享渠道分享至第二终端时上报的事件,被分享的网页页面的URL中携带有社交分享渠道的渠道标识;
第二接收模块920,用于接收第三方分析SDK上报的应用回流事件,应用回流事件是第三方分析SDK在网页页面的URL分享至第二终端且被第二终端访问时上报的事件,应用回流事件携带有社交分享渠道的渠道标识,渠道标识是第三方分析SDK从网页页面的URL中获取到的;
第一获得模块930,用于根据应用分享事件和应用回流事件获得网页页面在社交分享渠道上的回流转化率。
请参考图10,其示出了本发明实施例另一个实施例提供的数据处理装置的结构示意图。基于图9提供的分享监控数据处理装置,该装置还包括:
第一获得模块930,包括:
第一获取单元931、第一获得单元932、第二获取单元933、第二获得单元934和得到单元935;
第一获取单元931,用于从应用分享事件中获取网页页面的标识、社交分享渠道的渠道标识和分享时间;
第一获得单元932,用于根据网页页面的标识、社交分享渠道的渠道标识和分享时间,获得预定时间段内网页页面从社交分享渠道进行分享的分享次数;
第二获取单元933,用于从应用回流事件中获取网页页面的标识、社交分享渠道的渠道标识和回流时间;
第二获得单元934,用于根据网页页面的标识、社交分享渠道的渠道标识和回流时间,获得预定时间段内网页页面被回流访问的回流次数;
得到单元935,用于将回流次数除以分享次数,得到社交分享渠道对应的 回流转化率。
应用分享事件还携带有:第一终端的浏览器类型;
装置还包括:
第二获得模块940,用于根据网页页面的标识、渠道标识、浏览器类型和分享时间,获得预定时间段内网页页面从社交分享渠道进行分享时按照浏览器类型进行分类的分享次数
应用分享事件还携带有:第一终端的操作系统类型;
装置还包括:
第三获得模块950,用于根据网页页面的标识、渠道标识、操作系统类型和分享时间,获得预定时间段内网页页面从社交分享渠道进行分享时按照操作系统类型进行分类的分享次数。
应用分享事件还携带有:第一终端所处的地域标识;
装置还包括:
第四获得模块960,用于根据网页页面的标识、渠道标识、操作系统类型和分享时间,获得预定时间段内网页页面从社交分享渠道进行分享时按照地域标识进行分类的分享次数。
请参考图11,其示出了本发明实施例一个实施例提供的数据处理装置的结构示意图。应用于如图1或图2所提供的第一终端中,该装置包括:
接收模块1110,用于接收对网页页面的分享操作;
分享模块1120,用于根据分享操作将网页页面的统一资源定位符URL通过社交分享渠道分享至第二终端,被分享的网页页面的URL中携带有社交分享渠道的渠道标识,渠道标识用于供第三方分析SDK在网页页面的URL分享至第二终端且被第二终端访问时向服务器上报应用回流事件;
调用模块1130,用于在成功分享网页页面的URL后,调用第三方分析SDK向服务器上报应用分享事件,第三方分析SDK是集成在网页页面中的SDK,服务器用于根据应用分享事件和应用回流事件获得网页页面在社交分享渠道上的转化率。
网页页面中集成有社交分享代码;
调用模块1130,包括:
调用单元1131、生成单元1132和上报单元1133;
调用单元1131,用于在社交分享代码成功分享网页页面的URL后,由社交分享代码调用第三方分析SDK的去向统计接口,向第三方分析SDK传递社交分享渠道的渠道标识;
生成单元1132,用于通过第三方分析SDK生成应用分享事件,应用分享事件携带有网页页面的标识、社交分享渠道的渠道标识和分享时间;
上报单元1133,用于通过第三方分析SDK向服务器上报应用分享事件。
调用模块1130,还用于通过第三方分析SDK获取第一终端的浏览器类型;
生成单元1132,还用于通过第三方分析SDK生成携带有网页页面的标识、社交分享渠道的渠道标识、浏览器类型和分享时间的应用分享事件。
调用模块1130,还用于通过第三方分析SDK获取第一终端的操作系统类型;
生成单元1132,还用于通过第三方分析SDK生成携带有网页页面的标识、社交分享渠道的渠道标识、操作系统类型和分享时间的应用分享事件。
调用模块1130,还用于通过第三方分析SDK获取第一终端所处的地域标识;
生成单元1132,还用于通过第三方分析SDK生成携带有网页页面的标识、社交分享渠道的渠道标识、地域标识和分享时间的应用分享事件。
请参考图12,其示出了本发明实施例一个实施例提供的数据处理装置的结构示意图。应用于如图1或图2所提供的第二终端中,该装置包括:
显示模块1210,用于显示第一终端通过社交分享渠道分享的网页页面的统一资源定位符URL,被分享的网页页面的URL中携带有社交分享渠道的渠道标识;
接收模块1220,用于接收用于访问网页页面的URL的访问操作;
第一获取模块1230,用于根据访问操作通过URL获取网页页面,网页页面中集成有第三方分析SDK;
上报模块1240,用于通过第三方分析SDK向服务器上报应用回流事件,应用回流事件携带有渠道标识,服务器用于根据应用分享事件和应用回流事件获得网页页面在社交分享渠道上的转化率,应用分享事件是第三方分析SDK在网页页面的URL被第一终端通过社交分享渠道分享至第二终端时上报的事件。
该装置,还包括:
第二获取模块1250和生成模块1260;
第二获取模块1250,用于通过第三方分析SDK从网页页面的URL中获取社交分享渠道的渠道标识;
生成模块1260,用于通过第三方分析SDK生成应用回流事件,应用回流事件携带有网页页面的标识、社交分享渠道的渠道标识和回流时间。
本发明实施例一个实施例还提供了一种数据处理系统,该系统包括:服务器、第一终端和第二终端。
需要说明的是,服务器用于执行图3和图4所示的实施例中由服务器执行的步骤,第一终端用于执行图3和图4所示的实施例中由第一终端执行的步骤,第二终端用于执行图3和图4所示的实施例中由第二终端执行的步骤。
需要说明的是,上述实施例提供的装置,在实现其功能时,仅以上述各功能模块的划分进行举例说明,实际应用中,可以根据需要而将上述功能分配由不同的功能模块完成,即将设备的内部结构划分成不同的功能模块,以完成以上描述的全部或者部分功能。另外,上述实施例提供的装置与方法实施例属于同一构思,其具体实现过程详见方法实施例,这里不再赘述。
请参考图13,其示出了本发明实施例一个实施例提供的终端1300的框图,该终端可以第一终端120,也可以是第二终端140。终端1300可以包括RF(Radio Frequency,射频)电路1310、包括有一个或一个以上计算机可读存储介质的存储器1320、输入单元1330、显示单元1340、传感器1350、音频电路1360、WiFi(wireless fidelity,无线保真)模块1370、包括有一个或者一个以上处理核心的处理器1380、以及电源1390等部件。本领域技术人员可以理解,图13中示出的设备结构并不构成对设备的限定,可以包括比图示更多或更少的部件,或者组合某些部件,或者不同的部件布置。其中:
RF电路1310可用于收发信息或通话过程中,信号的接收和发送,特别地,将基站的下行信息接收后,交由一个或者一个以上处理器1380处理;另外,将涉及上行的数据发送给基站。通常,RF电路1310包括但不限于天线、至少一个放大器、调谐器、一个或多个振荡器、用户身份模块(SIM)卡、收发信 机、耦合器、LNA(Low Noise Amplifier,低噪声放大器)、双工器等。此外,RF电路1310还可以通过无线通信与网络和其他设备通信。无线通信可以使用任一通信标准或协议,包括但不限于GSM(Global System of Mobile communication,全球移动通讯系统)、GPRS(General Packet Radio Service,通用分组无线服务)、CDMA(Code Division Multiple Access,码分多址)、WCDMA(Wideband Code Division Multiple Access,宽带码分多址)、LTE(Long Term Evolution,长期演进)、电子邮件、SMS(Short Messaging Service,短消息服务)等。存储器1320可用于存储软件程序以及模块。处理器1380通过运行存储在存储器1320的软件程序以及模块,从而执行各种功能应用以及数据处理。存储器1320可主要包括存储程序区和存储数据区,其中,存储程序区可存储操作系统、至少一个功能所需的应用程序(比如声音播放功能、图像播放功能等)等;存储数据区可存储根据终端1300的使用所创建的数据(比如音频数据、电话本等)等。此外,存储器1320可以包括高速随机存取存储器,还可以包括非易失性存储器,例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。相应地,存储器1320还可以包括存储器控制器,以提供处理器1380和输入单元1330对存储器1320的访问。
输入单元1330可用于接收输入的数字或字符信息,以及产生与用户设置以及功能控制有关的键盘、鼠标、操作杆、光学或者轨迹球信号输入。具体地,输入单元1330可包括触敏表面1331以及其他输入设备1332。触敏表面1331,也称为触摸显示屏或者触控板,可收集用户在其上或附近的触摸操作(比如用户使用手指、触笔等任何适合的物体或附件在触敏表面1331上或在触敏表面1331附近的操作),并根据预先设定的程式驱动相应的连接装置。可选的,触敏表面1331可包括触摸检测装置和触摸控制器两个部分。其中,触摸检测装置检测用户的触摸方位,并检测触摸操作带来的信号,将信号传送给触摸控制器;触摸控制器从触摸检测装置上接收触摸信息,并将它转换成触点坐标,再送给处理器1380,并能接收处理器1380发来的命令并加以执行。此外,可以采用电阻式、电容式、红外线以及表面声波等多种类型实现触敏表面1331。除了触敏表面1331,输入单元1330还可以包括其他输入设备1332。具体地,其他输入设备1332可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆等中的一种或多种。
显示单元1340可用于显示由用户输入的信息或提供给用户的信息以及设 备130的各种图形用户接口,这些图形用户接口可以由图形、文本、图标、视频和其任意组合来构成。显示单元1340可包括显示面板1341,可选的,可以采用LCD(Liquid Crystal Display,液晶显示器)、OLED(Organic Light-Emitting Diode,有机发光二极管)等形式来配置显示面板1341。进一步的,触敏表面1331可覆盖在显示面板1341之上,当触敏表面1331检测到在其上或附近的触摸操作后,传送给处理器1380以确定触摸事件的类型,随后处理器1380根据触摸事件的类型在显示面板1341上提供相应的视觉输出。虽然在图13中,触敏表面1331与显示面板1341是作为两个独立的部件来实现输入和输入功能,但是在某些实施例中,可以将触敏表面1331与显示面板1341集成而实现输入和输出功能。
终端1300还可包括至少一种传感器1350,比如光传感器、运动传感器以及其它传感器。具体地,光传感器可包括环境光传感器及接近传感器,其中,环境光传感器可根据环境光线的明暗来调节显示面板1341的亮度,接近传感器可在终端1300移动到耳边时,关闭显示面板1341和/或背光。作为运动传感器的一种,重力加速度传感器可检测各个方向上(一般为三轴)加速度的大小,静止时可检测出重力的大小及方向,可用于识别手机姿态的应用(比如横竖屏切换、相关游戏、磁力计姿态校准)、振动识别相关功能(比如计步器、敲击)等;至于终端1300还可配置的陀螺仪、气压计、湿度计、温度计、红外线传感器等其它传感器,在此不再赘述。
音频电路1360、扬声器1321,传声器1322可提供用户与终端1300之间的音频接口。音频电路1360可将接收到的音频数据转换后的电信号,传输到扬声器1321,由扬声器1321转换为声音信号输出;另一方面,传声器1322将收集的声音信号转换为电信号,由音频电路1360接收后转换为音频数据,再将音频数据输出处理器1380处理后,经RF电路1310以发送给另一设备,或者将音频数据输出至存储器1320以便进一步处理。音频电路1360还可能包括耳塞插孔,以提供外设耳机与终端1300的通信。
WiFi属于短距离无线传输技术,终端1300通过WiFi模块1370可以帮助用户收发电子邮件、浏览网页和访问流式媒体等,它为用户提供了无线的宽带互联网访问。虽然图13示出了WiFi模块1370,但是可以理解的是,其并不属于终端1300的必须构成,完全可以根据需要在不改变发明的本质的范围内而省略。
处理器1380是终端1300的控制中心,利用各种接口和线路连接整个设备的各个部分,通过运行或执行存储在存储器1320内的软件程序和/或模块,以及调用存储在存储器1320内的数据,执行终端1300的各种功能和处理数据,从而对设备进行整体监控。可选的,处理器1380可包括一个或多个处理核心;可选的,处理器1380可集成应用处理器和调制解调处理器,其中,应用处理器主要处理操作系统、用户界面和应用程序等,调制解调处理器主要处理无线通信。可以理解的是,上述调制解调处理器也可以不集成到处理器1380中。
终端1300还包括给各个部件供电的电源1390(比如电池),优选的,电源可以通过电源管理系统与处理器1380逻辑相连,从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。电源1390还可以包括一个或一个以上的直流或交流电源、再充电系统、电源故障检测电路、电源转换器或者逆变器、电源状态指示器等任意组件。
尽管未示出,终端1300还可以包括摄像头、蓝牙模块等,在此不再赘述。
终端1300还包括有存储器,该存储器中存储有至少一条指令,至少一条指令由处理器加载并执行以实现如上述各个方法实施例中由第一终端120所执行的数据处理方法,或者实现如上述各个方法实施例中由第二终端140所执行的数据处理方法。
请参考图14,其示出了本发明实施例一个实施例提供的服务器的结构框架图。该服务器是服务器集群160的服务器。具体来讲:所述服务器1400包括中央处理单元(CPU)1401、包括随机存取存储器(RAM)1402和只读存储器(ROM)1403的系统存储器1404,以及连接系统存储器1404和中央处理单元1401的系统总线1405。所述服务器1400还包括帮助计算机内的各个器件之间传输信息的基本输入/输出系统(I/O系统)1406,和用于存储操作系统1413、应用程序1414和其他程序模块1415的大容量存储设备1407。
所述基本输入/输出系统1406包括有用于显示信息的显示器1408和用于用户输入信息的诸如鼠标、键盘之类的输入设备1409。其中所述显示器1408和输入设备1409都通过连接到系统总线1405的输入输出控制器1410连接到中央处理单元1401。所述基本输入/输出系统1406还可以包括输入输出控制器1410以用于接收和处理来自键盘、鼠标、或电子触控笔等多个其他设备的输入。类似地,输入输出控制器1410还提供输出到显示屏、打印机或其他类型的输 出设备。
所述大容量存储设备1407通过连接到系统总线1405的大容量存储控制器(未示出)连接到中央处理单元1401。所述大容量存储设备1407及其相关联的计算机可读介质为服务器1400提供非易失性存储。也就是说,所述大容量存储设备1407可以包括诸如硬盘或者CD-ROI驱动器之类的计算机可读介质(未示出)。
不失一般性,所述计算机可读介质可以包括计算机存储介质和通信介质。计算机存储介质包括以用于存储诸如计算机可读指令、数据结构、程序模块或其他数据等信息的任何方法或技术实现的易失性和非易失性、可移动和不可移动介质。计算机存储介质包括RAM、ROM、EPROM、EEPROM、闪存或其他固态存储其技术,CD-ROM、DVD或其他光学存储、磁带盒、磁带、磁盘存储或其他磁性存储设备。当然,本领域技术人员可知所述计算机存储介质不局限于上述几种。上述的系统存储器1404和大容量存储设备1407可以统称为存储器。
根据本发明实施例的各种实施例,所述服务器1400还可以通过诸如因特网等网络连接到网络上的远程计算机运行。也即服务器1400可以通过连接在所述系统总线1405上的网络接口单元1411连接到网络1412,或者说,也可以使用网络接口单元1411来连接到其他类型的网络或远程计算机系统(未示出)。
该存储器中存储有至少一条指令,至少一条指令由处理器加载并执行以实现如上述各个方法实施例中由服务器集群160所执行的数据处理方法。
上述本发明实施例序号仅仅为了描述,不代表实施例的优劣。
本领域普通技术人员可以理解实现上述实施例的全部或部分步骤可以通过硬件来完成,也可以通过程序来指令相关的硬件完成,所述的程序可以存储于一种计算机可读存储介质中,上述提到的存储介质可以是只读存储器,磁盘或光盘等。或者说,该存储介质中存储有至少一条指令、至少一段程序、代码集或指令集,至少一条指令、至少一段程序、代码集或指令集由处理器加载并执行以实现如上述各个方法实施例中所提供的数据处理方法。
以上所述仅为本发明实施例的较佳实施例,并不用以限制本发明实施例,凡在本发明实施例的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明实施例的保护范围之内。

Claims (28)

  1. 一种数据处理方法,其特征在于,用于服务器中,所述方法包括:
    接收第三方分析软件开发工具包SDK上报的应用分享事件,所述第三方分析SDK是集成在网页页面中的SDK,所述应用分享事件是所述第三方分析SDK在所述网页页面的统一资源定位符URL被第一终端通过社交分享渠道分享至第二终端时上报的事件,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识;
    接收所述第三方分析SDK上报的应用回流事件,所述应用回流事件是所述第三方分析SDK在所述网页页面的URL分享至所述第二终端且被所述第二终端访问时上报的事件,所述应用回流事件携带有所述社交分享渠道的渠道标识,所述渠道标识是所述第三方分析SDK从所述网页页面的URL中获取到的;
    根据所述应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
  2. 根据权利要求1所述的方法,其特征在于,所述根据所述应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,包括:
    从所述应用分享事件中获取所述网页页面的标识、所述社交分享渠道的渠道标识和分享时间;
    根据所述网页页面的标识、所述社交分享渠道的渠道标识和所述分享时间,获得预定时间段内所述网页页面从所述社交分享渠道进行分享的分享次数;
    从所述应用回流事件中获取所述网页页面的标识、所述社交分享渠道的渠道标识和回流时间;
    根据所述网页页面的标识、所述社交分享渠道的渠道标识和所述回流时间,获得所述预定时间段内所述网页页面被回流访问的回流次数;
    将所述回流次数除以所述分享次数,得到所述社交分享渠道对应的回流转化率。
  3. 根据权利要求2所述的方法,其特征在于,所述应用分享事件还携带有: 所述第一终端的浏览器类型;
    所述方法还包括:
    根据所述网页页面的标识、所述渠道标识、所述浏览器类型和所述分享时间,获得预定时间段内所述网页页面从所述社交分享渠道进行分享时按照所述浏览器类型进行分类的分享次数。
  4. 根据权利要求2所述的方法,其特征在于,所述应用分享事件还携带有:所述第一终端的操作系统类型;
    所述方法还包括:
    根据所述网页页面的标识、所述渠道标识、所述操作系统类型和所述分享时间,获得预定时间段内所述网页页面从所述社交分享渠道进行分享时按照所述操作系统类型进行分类的分享次数。
  5. 根据权利要求2所述的方法,其特征在于,所述应用分享事件还携带有:所述第一终端所处的地域标识;
    所述方法还包括:
    根据所述网页页面的标识、所述渠道标识、所述地域标识和所述分享时间,获得预定时间段内所述网页页面从所述社交分享渠道进行分享时按照所述地域标识进行分类的分享次数。
  6. 一种数据处理方法,其特征在于,应用于第一终端中,所述方法包括:
    接收对网页页面的分享操作;
    根据所述分享操作将所述网页页面的统一资源定位符URL通过社交分享渠道分享至第二终端,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识,所述渠道标识用于供所述第三方分析SDK在所述网页页面的URL分享至所述第二终端且被所述第二终端访问时向服务器上报应用回流事件;
    在成功分享所述网页页面的URL后,调用第三方分析软件开发工具包SDK向所述服务器上报应用分享事件,所述第三方分析SDK是集成在所述网页页面中的SDK,所述服务器用于根据所述应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
  7. 根据权利要求6所述的方法,其特征在于,所述网页页面中集成有社交分享代码;
    所述在成功分享所述网页页面的URL后,调用第三方分析软件开发工具包SDK向所述服务器上报应用分享事件,包括:
    在所述社交分享代码成功分享所述网页页面的URL后,由所述社交分享代码调用所述第三方分析SDK的去向统计接口,向所述第三方分析SDK传递所述社交分享渠道的渠道标识;
    通过所述第三方分析SDK生成所述应用分享事件,所述应用分享事件携带有所述网页页面的标识、所述社交分享渠道的渠道标识和分享时间;
    通过所述第三方分析SDK向所述服务器上报所述应用分享事件。
  8. 根据权利要求7所述的方法,其特征在于,所述通过所述第三方分析SDK生成所述应用分享事件之前,还包括:
    通过所述第三方分析SDK获取所述第一终端的浏览器类型;
    所述通过所述第三方分析SDK生成所述应用分享事件,包括:
    通过所述第三方分析SDK生成携带有所述网页页面的标识、所述社交分享渠道的渠道标识、所述浏览器类型和所述分享时间的所述应用分享事件。
  9. 根据权利要求7所述的方法,其特征在于,所述通过所述第三方分析SDK生成所述应用分享事件之前,还包括:
    通过所述第三方分析SDK获取所述第一终端的操作系统类型;
    所述通过所述第三方分析SDK生成所述应用分享事件,包括:
    通过所述第三方分析SDK生成携带有所述网页页面的标识、所述社交分享渠道的渠道标识、所述操作系统类型和所述分享时间的所述应用分享事件。
  10. 根据权利要求7所述的方法,其特征在于,所述通过所述第三方分析SDK生成所述应用分享事件之前,还包括:
    通过所述第三方分析SDK获取所述第一终端所处的地域标识;
    所述通过所述第三方分析SDK生成所述应用分享事件,包括:
    通过所述第三方分析SDK生成携带有所述网页页面的标识、所述社交分享 渠道的渠道标识、所述地域标识和所述分享时间的所述应用分享事件。
  11. 一种数据处理方法,其特征在于,应用于第二终端中,所述方法包括:
    显示第一终端通过社交分享渠道分享的网页页面的统一资源定位符URL,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识;
    接收用于访问所述网页页面的URL的访问操作;
    根据所述访问操作通过所述URL获取所述网页页面,所述网页页面中集成有第三方分析软件开发工具包SDK;
    通过所述第三方分析SDK向服务器上报应用回流事件,所述应用回流事件携带有所述渠道标识,所述服务器用于根据应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述应用分享事件是所述第三方分析SDK在所述网页页面的URL被所述第一终端通过所述社交分享渠道分享至所述第二终端时上报的事件,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
  12. 根据权利要求11所述的方法,其特征在于,所述通过所述第三方分析SDK向服务器上报应用回流事件之前,还包括:
    通过所述第三方分析SDK从所述网页页面的URL中获取所述社交分享渠道的渠道标识;
    通过所述第三方分析SDK生成所述应用回流事件,所述应用回流事件携带有所述网页页面的标识、所述社交分享渠道的渠道标识和回流时间。
  13. 一种服务器,其特征在于,所述服务器包括处理器和存储器,所述存储器中存储有至少一条指令,所述至少一条指令由所述处理器加载并执行以实现如下步骤:
    接收第三方分析软件开发工具包SDK上报的应用分享事件,所述第三方分析SDK是集成在网页页面中的SDK,所述应用分享事件是所述第三方分析SDK在所述网页页面的统一资源定位符URL被第一终端通过社交分享渠道分享至第二终端时上报的事件,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识;
    接收所述第三方分析SDK上报的应用回流事件,所述应用回流事件是所述 第三方分析SDK在所述网页页面的URL分享至所述第二终端且被所述第二终端访问时上报的事件,所述应用回流事件携带有所述社交分享渠道的渠道标识,所述渠道标识是所述第三方分析SDK从所述网页页面的URL中获取到的;
    根据所述应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
  14. 根据权利要求13所述的服务器,其特征在于,所述至少一条指令由所述处理器加载并执行时还用于实现如下步骤:
    从所述应用分享事件中获取所述网页页面的标识、所述社交分享渠道的渠道标识和分享时间;
    根据所述网页页面的标识、所述社交分享渠道的渠道标识和所述分享时间,获得预定时间段内所述网页页面从所述社交分享渠道进行分享的分享次数;
    从所述应用回流事件中获取所述网页页面的标识、所述社交分享渠道的渠道标识和回流时间;
    根据所述网页页面的标识、所述社交分享渠道的渠道标识和所述回流时间,获得所述预定时间段内所述网页页面被回流访问的回流次数;
    将所述回流次数除以所述分享次数,得到所述社交分享渠道对应的回流转化率。
  15. 根据权利要求14所述的服务器,其特征在于,所述应用分享事件还携带有:所述第一终端的浏览器类型;所述至少一条指令由所述处理器加载并执行时还用于实现如下步骤:
    根据所述网页页面的标识、所述渠道标识、所述浏览器类型和所述分享时间,获得预定时间段内所述网页页面从所述社交分享渠道进行分享时按照所述浏览器类型进行分类的分享次数。
  16. 根据权利要求14所述的服务器,其特征在于,所述应用分享事件还携带有:所述第一终端的操作系统类型;所述至少一条指令由所述处理器加载并执行时还用于实现如下步骤:
    根据所述网页页面的标识、所述渠道标识、所述操作系统类型和所述分享 时间,获得预定时间段内所述网页页面从所述社交分享渠道进行分享时按照所述操作系统类型进行分类的分享次数。
  17. 根据权利要求14所述的服务器,其特征在于,所述应用分享事件还携带有:所述第一终端所处的地域标识;所述至少一条指令由所述处理器加载并执行时还用于实现如下步骤:
    根据所述网页页面的标识、所述渠道标识、所述地域标识和所述分享时间,获得预定时间段内所述网页页面从所述社交分享渠道进行分享时按照所述地域标识进行分类的分享次数。
  18. 一种终端,其特征在于,所述终端包括处理器和存储器,所述存储器中存储有至少一条指令,所述至少一条指令由所述处理器加载并执行以实现如下步骤:
    接收对网页页面的分享操作;
    根据所述分享操作将所述网页页面的统一资源定位符URL通过社交分享渠道分享至第二终端,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识,所述渠道标识用于供所述第三方分析SDK在所述网页页面的URL分享至所述第二终端且被所述第二终端访问时向服务器上报应用回流事件;
    在成功分享所述网页页面的URL后,调用第三方分析软件开发工具包SDK向所述服务器上报应用分享事件,所述第三方分析SDK是集成在所述网页页面中的SDK,所述服务器用于根据所述应用分享事件和所述应用回流事件获得所述网页页面在所述社交分享渠道上的回流转化率,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
  19. 根据权利要求18所述的终端,其特征在于,所述网页页面中集成有社交分享代码;所述至少一条指令由所述处理器加载并执行时还用于实现如下步骤:
    在所述社交分享代码成功分享所述网页页面的URL后,由所述社交分享代码调用所述第三方分析SDK的去向统计接口,向所述第三方分析SDK传递所述社交分享渠道的渠道标识;
    通过所述第三方分析SDK生成所述应用分享事件,所述应用分享事件携带 有所述网页页面的标识、所述社交分享渠道的渠道标识和分享时间;
    通过所述第三方分析SDK向所述服务器上报所述应用分享事件。
  20. 根据权利要求19所述的终端,其特征在于,所述至少一条指令由所述处理器加载并执行时还用于实现如下步骤:
    通过所述第三方分析SDK获取所述第一终端的浏览器类型;
    通过所述第三方分析SDK生成携带有所述网页页面的标识、所述社交分享渠道的渠道标识、所述浏览器类型和所述分享时间的所述应用分享事件。
  21. 根据权利要求19所述的终端,其特征在于,所述至少一条指令由所述处理器加载并执行时还用于实现如下步骤:
    通过所述第三方分析SDK获取所述第一终端的操作系统类型;
    通过所述第三方分析SDK生成携带有所述网页页面的标识、所述社交分享渠道的渠道标识、所述操作系统类型和所述分享时间的所述应用分享事件。
  22. 根据权利要求19所述的终端,其特征在于,所述至少一条指令由所述处理器加载并执行时还用于实现如下步骤:
    通过所述第三方分析SDK获取所述第一终端所处的地域标识;
    通过所述第三方分析SDK生成携带有所述网页页面的标识、所述社交分享渠道的渠道标识、所述地域标识和所述分享时间的所述应用分享事件。
  23. 一种终端,其特征在于,所述终端包括处理器和存储器,所述存储器中存储有至少一条指令,所述至少一条指令由所述处理器加载并执行以实现如下步骤:
    显示第一终端通过社交分享渠道分享的网页页面的统一资源定位符URL,被分享的所述网页页面的URL中携带有所述社交分享渠道的渠道标识;
    接收用于访问所述网页页面的URL的访问操作;
    根据所述访问操作通过所述URL获取所述网页页面,所述网页页面中集成有第三方分析软件开发工具包SDK;
    通过所述第三方分析SDK向服务器上报应用回流事件,所述应用回流事件携带有所述渠道标识,所述服务器用于根据应用分享事件和所述应用回流事件 获得所述网页页面在所述社交分享渠道上的回流转化率,所述应用分享事件是所述第三方分析SDK在所述网页页面的URL被所述第一终端通过所述社交分享渠道分享至所述第二终端时上报的事件,所述回流转化率用于表征所述社交分享渠道的回流转化效果。
  24. 根据权利要求23所述的终端,其特征在于,所述至少一条指令由所述处理器加载并执行时还用于实现如下步骤:
    通过所述第三方分析SDK从所述网页页面的URL中获取所述社交分享渠道的渠道标识;
    通过所述第三方分析SDK生成所述应用回流事件,所述应用回流事件携带有所述网页页面的标识、所述社交分享渠道的渠道标识和回流时间。
  25. 一种数据处理系统,其特征在于,所述系统包括:服务器、第一终端和第二终端;
    所述服务器包括如权利要求13至17任一所述的服务器;
    所述第一终端包括如权利要求18至22任一所述的终端;
    所述第二终端包括如权利要求23或24所述的终端。
  26. 一种计算机可读存储介质,其特征在于,所述存储介质中存储有至少一条指令、至少一段程序、代码集或指令集,所述至少一条指令、所述至少一段程序、所述代码集或指令集由所述处理器加载并执行以实现如权利要求1至5任一所述的数据处理方法。
  27. 一种计算机可读存储介质,其特征在于,所述存储介质中存储有至少一条指令、至少一段程序、代码集或指令集,所述至少一条指令、所述至少一段程序、所述代码集或指令集由所述处理器加载并执行以实现如权利要求6至10任一所述的数据处理方法。
  28. 一种计算机可读存储介质,其特征在于,所述存储介质中存储有至少一条指令、至少一段程序、代码集或指令集,所述至少一条指令、所述至少一段程序、所述代码集或指令集由所述处理器加载并执行以实现如权利要求11或 12所述的数据处理方法。
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