WO2021081920A1 - 信息推送方法、装置、服务器及存储介质 - Google Patents

信息推送方法、装置、服务器及存储介质 Download PDF

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Publication number
WO2021081920A1
WO2021081920A1 PCT/CN2019/114805 CN2019114805W WO2021081920A1 WO 2021081920 A1 WO2021081920 A1 WO 2021081920A1 CN 2019114805 W CN2019114805 W CN 2019114805W WO 2021081920 A1 WO2021081920 A1 WO 2021081920A1
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Prior art keywords
user
data
user data
identification
electronic device
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PCT/CN2019/114805
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English (en)
French (fr)
Inventor
郭子亮
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深圳市欢太科技有限公司
Oppo广东移动通信有限公司
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Application filed by 深圳市欢太科技有限公司, Oppo广东移动通信有限公司 filed Critical 深圳市欢太科技有限公司
Priority to CN201980098837.5A priority Critical patent/CN114208135B/zh
Priority to PCT/CN2019/114805 priority patent/WO2021081920A1/zh
Publication of WO2021081920A1 publication Critical patent/WO2021081920A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/40—Support for services or applications

Definitions

  • This application relates to the field of big data technology, and more specifically, to an information push method, device, server, and storage medium.
  • This application proposes an information push method, device, server and storage medium to achieve accurate information push.
  • an embodiment of the present application provides an information push method applied to a server.
  • the method includes: associating user data collected by different applications in the same electronic device with the same user ID, and the user ID corresponds to the electronic device.
  • Device according to the user data associated with the user ID, generate a user portrait corresponding to the user ID; push information to the electronic device corresponding to the user ID according to the user portrait.
  • an embodiment of the present application provides an information pushing device applied to a server.
  • the device includes: an association module for associating user data collected by different applications in the same electronic device with the same user ID.
  • the identifier corresponds to the electronic device;
  • the generation module is used to generate the user portrait corresponding to the user identifier according to the user data associated with the user identifier;
  • the push module is to send information to the electronic device corresponding to the user identifier according to the user portrait Push.
  • an embodiment of the present application provides a server, which includes one or more processors; a memory; one or more application programs, wherein the one or more application programs are stored in the memory and It is configured to be executed by the one or more processors, and the one or more programs are configured to execute the method applied to the server as described above.
  • an embodiment of the present application provides a computer-readable storage medium in which a program code is stored, wherein the above-mentioned method is executed when the program code is running.
  • the information push method proposed in this application associates user data collected by different applications in the same electronic device with the same user ID, and the user ID corresponds to the electronic device; the user associated according to the user ID The data generates a user portrait corresponding to the user ID; and pushes information to the electronic device corresponding to the user ID according to the user portrait.
  • user data collected by different applications can be unified, synchronized to the same user, and a comprehensive user portrait can be generated based on the user data collected by different applications, thereby realizing accurate information push.
  • Fig. 1 shows a flowchart of an information pushing method provided by an embodiment of the present application.
  • Fig. 2 shows a flowchart of an information pushing method provided by another embodiment of the present application.
  • Fig. 3 shows a flowchart of an information pushing method provided by still another embodiment of the present application.
  • FIG. 4 shows a flowchart of step S320 in the information pushing method provided on the basis of the embodiment provided in FIG. 3.
  • FIG. 5 shows a flowchart of step S330 in the information pushing method provided on the basis of the embodiment provided in FIG. 3.
  • Fig. 6 shows a flowchart of an information pushing method provided by another embodiment of the present application.
  • Fig. 7 shows a functional module diagram of an information pushing device provided by an embodiment of the present application.
  • FIG. 8 shows a structural block diagram of a server for executing the information pushing method according to an embodiment of the present application proposed by an embodiment of the present application.
  • Fig. 9 shows a storage medium provided by an embodiment of the present application for storing or carrying program code for implementing the information pushing method according to the embodiment of the present application.
  • the application program collects the user data of the user. For example, when using Taobao, the user's browsing information and purchase information can be collected. Thus, different applications can collect different user data.
  • the user data collected through each application program can be used to construct a corresponding user portrait through the user data.
  • the user portrait is information labeling, which refers to a labeled user model data abstracted through data analysis of a person's identity data, consumption data, and behavior data.
  • User portraits provide a company or enterprise with a sufficient information foundation to accurately locate user groups and user needs, so that information can be pushed based on user portraits.
  • the user identification is inconsistent in different applications. For example, user A uses application B and application C, the identification of user A in application B is X, and the identification of user A by application C is Y. When the user data collected by the application B and the application C are obtained, it is impossible to determine whether the user data identified as X and the user data identified as Y belong to the same user, so that it is difficult to generate a comprehensive user portrait.
  • the inventor proposes the information push method of the present application, which associates user data collected by different applications in the same electronic device with the same user ID, and the user ID corresponds to the electronic device; generated according to the user data associated with the user ID The user portrait corresponding to the user ID; and push information to the electronic device corresponding to the user ID according to the user portrait.
  • user data collected by different applications can be unified, synchronized to the same user, and a comprehensive user portrait can be generated based on the user data collected by different applications, thereby realizing accurate information push.
  • an embodiment of the present application provides an information push method, which can be applied to a user terminal.
  • This embodiment describes a step flow on the user terminal side.
  • the specific method may include:
  • Step S110 Associate user data collected by different applications in the same electronic device with the same user identification, and the user identification corresponds to the electronic device.
  • the user's behavior data in the application program for example, the user's browsing information, viewing information, etc.
  • the way the application collects user data can be buried.
  • the server collects user data collected by each application a reporting interface can be set up, and the application can report the collected user data to the server through the reporting interface, so that the server can obtain the data collected by each application.
  • user data collected by different applications have different user identifications. Therefore, for user data collected by different applications, it is difficult to distinguish which user data comes from the same electronic device.
  • the user data collected by different applications will all include the device identification code, so the device identification code in the user data can be used to determine which data belongs to the same user.
  • the device identification code in user data a collected by application A is Aa
  • the device identification code in user data b collected by application B is Aa. From this, it can be determined that user data a and user data b are in the same Generated on an electronic device. In this way, user data from the same electronic device can be distinguished from user data collected by different applications.
  • a user whose source corresponds to user data of the same electronic device that is, the user data from the same electronic device is generated by the behavior of the same user.
  • the user data collected by different applications in the same electronic device can be associated with the same user identification, and the user identification corresponds to the electronic device, so that different
  • the association relationship between the user data and the application program is converted into the association relationship between the user data and the user, which facilitates the establishment of a corresponding user portrait according to the user data associated with the user.
  • the electronic device may be an electronic device capable of running application programs, such as a smart phone, a tablet computer, or an e-book. If the electronic device is a smart phone, user data corresponding to multiple applications installed in the smart phone can be collected; if the electronic device is a tablet computer, users corresponding to multiple applications installed in the tablet computer can be collected data.
  • Step S120 Generate a user portrait corresponding to the user ID according to the user data associated with the user ID.
  • the user data is an association relationship with the user identification, where one user identification may be an identifier representing the same user.
  • the user data associated with the user identifier is user data corresponding to a certain user, and the user data includes data collected by various applications.
  • the user data associated with the user identification is relatively complete, so that the user portrait corresponding to the user identification that can be generated based on the user data associated with the user identification is also relatively complete.
  • the user data may be tag data. Therefore, when the user portrait associated with the user identification is generated, the user data associated with the user identification can be directly integrated as the user Identify the corresponding user portrait.
  • the user data may be basic data collected by various applications.
  • the user data associated with the user identification is obtained, the user data may be tagged and converted into corresponding tag data. Therefore, a user portrait corresponding to the user identification can be generated according to the association relationship between the user identification and the tag data.
  • Step S130 Push information to the electronic device corresponding to the user identifier according to the user portrait.
  • the user ID and the user portrait corresponding to the user ID can be correspondingly stored, and when the information is pushed, the electronic image corresponding to the user ID can be sent to the user ID according to the user portrait.
  • the device pushes information.
  • the data to be pushed can be known, and the user who needs to be pushed can be determined based on the user portrait, so that the information to be pushed can be pushed to the electronic device corresponding to the user ID to indicate the electronic device
  • the data to be pushed is received, and the data to be pushed is displayed.
  • different users can be pushed differently according to the user portrait, so that the push content can be specially formulated for a single user, and more accurate data recommendation can be realized.
  • This application proposes an information push method that associates user data collected by different applications in the same electronic device with the same user ID, and the user ID corresponds to the electronic device; the user ID corresponding is generated based on the user data associated with the user ID User portrait; push information to the electronic device corresponding to the user ID according to the user portrait.
  • user data collected by different applications can be unified and synchronized to the same user.
  • a comprehensive user portrait can be generated to achieve accurate information push and make information push more targeted.
  • FIG. 2 another embodiment of the present application provides an information push method. Based on the foregoing embodiments, this embodiment focuses on associating user data collected by different applications in the same electronic device with the same user identifier.
  • the process, the method can include:
  • Step S210 Obtain the device identification code carried in the user data collected by each application.
  • the user data collected by each application program acquired by the electronic device usually includes the user's behavior data, the time when the user's behavior was generated, and the corresponding device identification code.
  • each piece of user data can be analyzed, and the device identification code in the user data can be extracted.
  • the device identification code may be a unique identification of the electronic device that generates the user data, and different electronic devices have different device identification codes.
  • Step S220 Use the device identification code as the user identification and associate it with the user data.
  • the device identification code is obtained, since different electronic devices correspond to different device identification codes, the same device identification code will not appear.
  • the user ID is used to identify different users. Since the device identification code is a unique identification of an electronic device, and the user identification is an identification of a different user, and the user identification corresponds to an electronic device, the device identification code can be used as the user identification.
  • the user data can be associated with the device identification code.
  • a user may have multiple electronic devices. Therefore, it may appear that the same user data corresponds to different device identification codes.
  • one user identification may include multiple electronic devices. Different device identification codes. It can be to obtain the user registration information corresponding to each application; determine whether there are applications with the same user registration information in different applications; if it exists, determine that the user data collected by the application with the same user registration information is carried Whether the device identification codes of are the same; if they are the same, use the device identification code as the user identification; if they are not the same, associate different device identification codes with the user data of the application with the same registration information.
  • each user data corresponds to an application program, so that user registration information of each application program can be acquired, where the user registration information may be the normal use of the application program.
  • the user registration information may be the normal use of the application program.
  • some information needs to be filled in, and the information filled in by the user can be considered as user registration information.
  • the collected user registration information may be the same.
  • the user's registration information can be a phone number
  • the application WeChat the user's registration information also includes the phone number. Therefore, when the same user uses QQ and WeChat, QQ and WeChat are The obtained user registration information is the same.
  • the user may have two electronic devices, one is a mobile phone and the other is a tablet.
  • the user usually uses WeChat on the mobile phone and QQ on the tablet. Then, the user with the same user registration information is the device in the user data collected by WeChat
  • the identification code is different from the device identification code in the user data collected by QQ. Then the device identification code of the mobile phone and the device identification code of the tablet correspond to the same user. Therefore, in addition to associating the user data collected by QQ with the device identification code of the user data collected by QQ, it can also be associated with the device identification code carried in the user data collected by WeChat.
  • the device identification code of the electronic device using WeChat is D, and the user data collected by WeChat is dd; the device identification code of the electronic device using QQ is E, and the user data collected by QQ is ee.
  • the user registration information of WeChat and QQ is the same, then the data can be associated with ED:dd,ee, where the user ID includes E and D, indicating that the device identification code E and the device identification code D correspond to the same user, and the user ID is associated
  • the user data is dd and ee.
  • the user logo can also be a self-defined symbol.
  • a user-defined symbol can be used to distinguish users.
  • it can also be to obtain user registration information of each application, determine the user ID corresponding to the user registration information according to the mapping table; and compare the user data collected by each application with the corresponding Associated with the user ID.
  • the server may pre-store a mapping table, the mapping table including the correspondence between user registration information and user identification, and the mapping table may be obtained through big data analysis.
  • the user registration information may be searched in the mapping table, and the user identification is the same as the one found in the mapping table.
  • the device identification code corresponding to the user registration information can refer to Table 1.
  • each user registration information corresponds to a user ID.
  • Different user registration information may correspond to the same user ID, indicating that the user registration information of different applications used by the same user may be different.
  • user data collected by each application can be associated with the user ID.
  • more user data in other dimensions can be obtained through the associated user data. It may be extracting user identity information from the user data, and associating the user identity information with the user identity; obtaining user data from other platforms according to the user identity information; and according to the association between the identity information and the user identity The relationship is to associate the user data obtained from other platforms with the user identification.
  • the user identity information may be a phone number.
  • the user data may be unified into the user identity. Specifically, since the user data corresponds to the user identity, the identity information is extracted from the user data, the association relationship between the identity information and the user identity can be obtained, so that the user data corresponding to the user identity information can be converted into the association relationship with the user identity.
  • Step S230 Generate a user portrait corresponding to the user ID according to the user data associated with the user ID.
  • Step S240 Push information to the electronic device corresponding to the user identifier according to the user portrait.
  • Steps S230 to S240 can refer to the corresponding parts of the foregoing embodiment, and details are not described herein again.
  • This application proposes an information push method to obtain the device identification code carried in the user data collected by each application; use the device identification code as the user identification to associate with the user data; and associate according to the user identification Generate a user portrait corresponding to the user ID from the user data; push the user portrait to the electronic device corresponding to the user ID according to the user portrait.
  • user data collected by different applications can be unified and synchronized to the same user.
  • a comprehensive user portrait can be generated to achieve accurate information push and make information push more targeted.
  • FIG. 3 another embodiment of the present application provides an information push method. This embodiment focuses on generating the user corresponding to the user ID based on the user data associated with the user ID on the basis of the foregoing embodiment.
  • the process of portrait, the method can include:
  • Step S310 Associate user data collected by different applications in the same electronic device with the same user ID, and the user ID corresponds to the electronic device.
  • step S310 reference may be made to the corresponding part of the foregoing embodiment, and details are not described herein again.
  • Step S320 Perform preset processing on the user data associated with the user identifier to obtain processed user data.
  • the user data associated with the user identification is obtained.
  • the user data associated with the user identifier includes users collected by each application. In the user data collected by each application, there may be duplicate user data or relatively abnormal user data. In this way, the user data associated with each user identification can be cleaned through preset processing. By performing preset processing on the user data associated with the user identification, the user data associated with each user identification can be made more conducive to data analysis and data mining.
  • performing the preset processing on the user data associated with the user identifier may be deduplication processing on the repeated user data. It may be to obtain the user data associated with each user identification, and for the user data associated with each user identification, determine whether there are multiple user data with the same content in the user data; if so, to the user data associated with the user identification Perform deduplication processing.
  • deduplication processing multiple pieces of user data with the same content can be retained, and the rest of the user data with the same content can be deleted.
  • the preset processing of the user data associated with the user identification may be to unify the format of each piece of user data, and the preset format may be preset, and the format of the user data is not the preset format.
  • data format conversion is performed, so that the format of user data associated with the user identification can be unified, so as to facilitate data analysis and data mining using the user data.
  • the pre-processing of user data associated with the user may be to perform format unification and de-duplication processing on the user data.
  • the order of format unification and de-duplication processing is not specifically limited, and the user identification may be performed first.
  • the associated user data is deduplicated, and then the deduplicated user data is formatted uniformly; it can also be that the user data is formatted first, and then the formatted user data is deduplicated. It can be selected according to actual use, and there is no specific limitation here.
  • the user data associated with the user ID includes user data collected by reading applications
  • the user data associated with the user ID is usually filtered according to the needs of the analysis, so that the user data associated with the user ID is selected.
  • it is also necessary to determine the user data that needs to be pre-processed it is also necessary to determine the user data that needs to be pre-processed. Specifically, refer to Figure 4, which may include the following steps:
  • Step S321 Determine the target demand.
  • a requirement list may be displayed in advance, and the requirement list includes multiple analysis requirements, so that the analysis requirement selected by the user from the requirement list can be used as the target requirement to filter user data.
  • Step S322 Obtain the correlation between the user data and the target demand according to the target demand.
  • the correlation between the user data and the target demand can be obtained according to the target demand.
  • each piece of user data will correspond to an application.
  • the correlation between the application corresponding to the user data and the target demand can be determined according to the target demand;
  • the correlation degree between the application program and the target demand is used as the correlation degree between the user data collected by the application program and the target demand.
  • the application corresponding to the user data can be obtained. Since the target demand is the analysis of the user's spending power, the user's payment transaction data needs to be obtained, so that the user's payment transaction data needs to be obtained.
  • the correlation between the application and the target demand is determined according to the ratio of the number of payment transaction data in the user data collected by the application to the total number of user data collected by the application.
  • the correlation between the target demand and the target demand can be determined. .
  • Step S323 Determine user data that needs to be pre-processed according to the correlation between the user data and the target demand.
  • the correlation degree between the user data and the target demand it can be determined whether the correlation degree between the user data and the target demand is greater than the preset correlation degree; if it is greater, the user data is regarded as the need for preset processing data. If the correlation degree with the target demand is less than the preset correlation degree, it indicates that the corresponding user data may be data that has nothing to do with the target demand, or data that has a small relationship with the target demand and does not have analytical significance.
  • the target demand is the analysis of the user's consumption ability, and the applications corresponding to the user data are Alipay, Douyin, JD, Youku Video; through data analysis, the correlation between the above-mentioned application and the target demand is 99%, 0%, 80%, 2%. From this, it can be determined that the correlation between the user data collected by Alipay and the target demand is 99%, the correlation between the user data collected by Douyin and the target demand is 0%, and the user data collected by JD.com is between the target demand and the target demand.
  • the correlation degree of is 80%, and the correlation degree between the user data collected by Youku Video and the target demand is 10%.
  • the preset correlation degree is 60%, so that the user data of the user collected by Alipay and the user data of the user collected by JD can be used as user data that needs to be pre-processed.
  • Step S330 Generate a user portrait corresponding to the user identifier according to the processed user data.
  • the processed user data can be obtained, so that the user portrait corresponding to the user identification can be generated according to the processed user data.
  • the user data collected by each application can be tag data or basic behavior data.
  • the user portrait is usually described by label data.
  • FIG. 5 may specifically include the following steps:
  • Step S331 Obtain the processed user data.
  • Step S332 Determine whether the processed user data is tag data, if yes, execute step S333; if not, execute step S334.
  • Step S333 Use the tag data associated with the user identification as the user portrait corresponding to the user identification.
  • Step S334 Analyze the processed user data and transform it into the label data, and use the label data as the user portrait corresponding to the user identification.
  • the processed user data associated with the user identification After performing preset processing on the user data associated with the user identification, the processed user data associated with the user identification can be obtained; thus, it can be determined whether the user data is tag data, and if the processed user data is tag data, Then, the processed user processing may not be converted again, and the label data associated with the user identification may be directly used as the user portrait corresponding to the user identification. If it is determined that the processed user data is not label data, the processed user data needs to be analyzed and converted into the label data, and the label data converted from the user data is used as the user corresponding to the user identification portrait. Specifically, converting user data into label data can obtain the label data through big data analysis combined with a corresponding algorithm, so that the label data can be used as a user portrait corresponding to the user identification.
  • S340 Push information to the electronic device corresponding to the user identifier according to the user portrait.
  • step S340 reference may be made to the corresponding part of the foregoing embodiment, and details are not described herein again.
  • This application proposes an information push method that associates user data collected by different applications in the same electronic device with the same user ID, and the user ID corresponds to the electronic device; the user data associated with the user ID is obtained by preset processing The processed user data; the user portrait corresponding to the user identification is generated according to the processed user data; the information is pushed to the electronic device corresponding to the user identification according to the user portrait.
  • pre-processing the user data associated with the user ID remove unnecessary data from the user data, so as to analyze the user data, and then generate the corresponding user portrait based on the processed user data, thereby generating a comprehensive user portrait , In order to achieve accurate information push, making information push more targeted.
  • FIG. 6 another embodiment of the present application provides an information pushing method. This embodiment focuses on pushing information to the electronic device corresponding to the user identifier based on the user portrait based on the previous embodiment.
  • the process, the method can include:
  • Step S410 Associate user data collected by different applications in the same electronic device with the same user ID, where the user ID corresponds to the electronic device.
  • Step S420 Generate a user portrait corresponding to the user ID according to the user data associated with the user ID.
  • step S410 to step S420 refer to the corresponding part of the foregoing embodiment, which will not be repeated here.
  • the user portrait of a single user can be analyzed, and the push data can be formulated for the user. It can also be based on the push data to determine the user who needs to be pushed.
  • Step S430 Obtain the data to be pushed.
  • Step S440 Determine the tag data corresponding to the data to be pushed.
  • Step S450 Determine whether there is tag data corresponding to the data to be pushed in the user portrait.
  • Step S460 If it exists, send the data to be pushed to the electronic device corresponding to the user identifier.
  • step S430 to step S460 describe that there is data to be pushed, and the user who needs to push information is determined according to the user portrait.
  • user portraits corresponding to all user IDs can be stored in a server.
  • the server determines the tag data corresponding to the data to be pushed; judging the user Whether there is tag data in the portrait corresponding to the data to be pushed, if it exists, it means that the user represented by the user portrait may be interested in the content of the pushed data; if it does not exist, it means that the user represented by the user portrait is not going to push The content of the data is not of interest.
  • the server may determine the tag data corresponding to the data to be pushed according to the field to which the data to be pushed belongs, so as to determine that the tag data corresponding to the data to be pushed is sports-related tag data.
  • the server can determine whether there is a user ID of the sports-related label data in the user portrait; if there is sports-related label data in the user portrait, it indicates that the user corresponding to the user ID may be If you are interested in sports information, if there is no sports-related tag data in the user portrait, it indicates that the user corresponding to the user ID is not interested in sports information, and therefore has a low desire to receive the push data. Therefore, the push target of the data to be pushed can be determined according to the user portrait, and invalid information push can be avoided.
  • Step S470 Obtain tag data in the user portrait.
  • Step S480 Determine the data to be pushed related to the tag data.
  • Step S490 Send the data to be pushed to the electronic device corresponding to the user identification.
  • Steps S430 to S460 describe the analysis of a single user's portrait and the customized push for the user.
  • some high-value users need to be pushed.
  • high-value users can be users who have a long registration time in a certain application, or users who consume a lot of money in the application.
  • the definition of high-value users can be different in different business needs. It can be selected in combination with actual analysis, and there is no specific limitation here.
  • the user portrait corresponding to the high-value user can be obtained; thus, the label data in the user portrait can be obtained, and the data to be pushed related to the label data can be determined according to the label data , And then send the data to be pushed to the electronic device corresponding to the user ID for display.
  • the user portrait when analyzing a user portrait of a certain high-value user, the user portrait includes the tag data of the programmer. Then you can push technical news related to the programmer’s tag information and code development; if the user profile also includes a data tag that likes to buy luxury goods, you can push the fashion show of luxury brands and new styles for the data tag. Some news released.
  • the data to be pushed is determined according to the user portrait, the user's interests and hobbies can be better grasped, so that the data to be pushed can be of interest to the user, and the user's satisfaction can be improved.
  • step S430 to step S460 are executed after step S410 and step S420 are executed, step S470 to step S490 will not be executed again; if step S410 and step S420 are executed, If step S470 to step S490 continue to be executed, step S430 to step S460 will not be executed again.
  • step S430 to step S460 are an information pushing method
  • steps S470 to S490 are another information pushing method.
  • the specific information push method to be selected can be selected according to actual needs, and there is no specific limitation here.
  • This application proposes an information push method and provides two information push methods, one of which is to associate user data collected by different applications in the same electronic device with the same user ID, and the user ID corresponds to the electronic device; according to the The user data associated with the user ID generates a user portrait corresponding to the user ID; obtains the data to be pushed; determines the tag data corresponding to the data to be pushed; determines whether there is a user portrait corresponding to the data to be pushed Tag data; if it exists, send the data to be pushed to the electronic device corresponding to the user ID.
  • the other is to associate user data collected by different applications in the same electronic device with the same user ID, and the user ID corresponds to the electronic device; according to the user data associated with the user ID, a user portrait corresponding to the user ID is generated Obtain the tag data in the user portrait; determine the data to be pushed related to the tag data; send the data to be pushed to the electronic device corresponding to the user identification.
  • the user data collected by different applications is unified and synchronized to the same user. According to the user data collected by different applications, a comprehensive user portrait is generated to achieve accurate information push and make information push more targeted.
  • FIG. 7 shows an information pushing device 500 provided by an embodiment of the present application, which is applied to an electronic device.
  • the device 500 includes an association module 510, a generating module 520, and a pushing module 530.
  • the associating module 510 is used to associate user data collected by different applications in the same electronic device with the same user ID, and the user ID corresponds to the electronic device; the generating module 520 is used to associate according to the user ID The user data corresponding to the user identification is generated by the user portrait; the push module 530 pushes information to the electronic device corresponding to the user identification according to the user portrait.
  • association module 510 is further configured to obtain a device identification code carried in the user data collected by each application; use the device identification code as the user identification to associate with the user data.
  • the device 500 further includes an obtaining module for obtaining user registration information corresponding to each application; judging whether there is an application with the same user registration information in different applications; if it exists, judging the user registration Whether the device identification codes carried in the user data collected by applications with the same information are the same; if they are the same, the device identification code is used as the user identification; if they are not the same, the different device identification codes are the same as the registration information.
  • an obtaining module for obtaining user registration information corresponding to each application; judging whether there is an application with the same user registration information in different applications; if it exists, judging the user registration Whether the device identification codes carried in the user data collected by applications with the same information are the same; if they are the same, the device identification code is used as the user identification; if they are not the same, the different device identification codes are the same as the registration information.
  • mapping table is pre-stored, and the mapping table includes the corresponding relationship between user registration information and user identification.
  • the association module 510 is also used to obtain user registration information of each application; and determine the mapping table according to the mapping table.
  • the user ID corresponding to the user registration information; the user data collected by each application program is associated with the corresponding user ID.
  • association module 510 is further configured to look up the user registration information in the mapping table; the user identification is the device identification code corresponding to the user registration information found in the mapping table.
  • the acquisition module is also used to extract user identity information from the user data, associate the user identity information with the user identity; obtain user data from other platforms according to the user identity information; The association relationship between the identity information and the user ID is associated with the user data obtained from other platforms and the user ID.
  • the generating module 520 is further configured to perform preset processing on the user data associated with the user identifier to obtain processed user data; and generate a user portrait corresponding to the user identifier according to the processed user data.
  • the generating module 520 is further configured to determine whether there are multiple user data with the same content in the user data associated with the user identification; if so, perform deduplication processing on the user data associated with the user identification.
  • the generating module 520 is also used to determine user data that needs to be pre-processed.
  • the generating module 520 is also used to determine the target demand; obtain the correlation degree between user data and the target demand according to the target demand; determine the need for preset according to the correlation degree between the user data and the target demand Processed user data.
  • the generating module 520 is further configured to determine the correlation degree between the application program corresponding to the user data and the target demand according to the target demand; collect the correlation degree between the application program and the target demand as the application program The degree of relevance of the user data to the target demand.
  • the generating module 520 is also used to determine whether the correlation degree between the user data and the target demand is greater than a preset correlation degree; if so, the user data is regarded as user data that needs to be subjected to preset processing.
  • the generating module 520 is also used to determine whether the processed user data is label data; if not, the processed user data is analyzed and converted into the label data, and the label data is used as the label data.
  • the user data is tag data
  • the generating module 520 is further configured to use the tag data associated with the user identification as the user portrait corresponding to the user identification.
  • the push module 530 is also used to obtain the data to be pushed; determine the tag data corresponding to the data to be pushed; determine whether there is tag data corresponding to the data to be pushed in the user portrait; if it exists , The data to be pushed is sent to the electronic device corresponding to the user identifier.
  • the pushing module 530 is also used to obtain tag data in the user portrait; determine the data to be pushed related to the tag data; and send the data to be pushed to the electronic device corresponding to the user identification.
  • the information push method provided in this application associates user data collected by different applications in the same electronic device with the same user ID, and the user ID corresponds to the electronic device; user data associated with the user ID A user portrait corresponding to the user identification is generated; and information is pushed to the electronic device corresponding to the user identification according to the user portrait.
  • user data collected by different applications can be unified and synchronized to the same user.
  • a comprehensive user portrait can be generated to achieve accurate information push and make information push more targeted.
  • the coupling or direct coupling or communication connection between the displayed or discussed modules may be through some interfaces, and the indirect coupling or communication connection between the devices or modules may be electrical, Mechanical or other forms.
  • each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
  • the above-mentioned integrated modules can be implemented in the form of hardware or software function modules.
  • FIG. 8 shows a structural block diagram of a server provided by an embodiment of the present application.
  • the server 600 in this application may include one or more of the following components: a processor 610, a memory 620, and one or more application programs, where one or more application programs may be stored in the memory 620 and configured to be operated by one Or multiple processors 610 execute, and one or more programs are configured to execute the method described in the foregoing method embodiment.
  • the processor 610 may include one or more processing cores.
  • the processor 610 uses various interfaces and lines to connect various parts of the entire server 600, and executes the server by running or executing instructions, programs, code sets, or instruction sets stored in the memory 620, and calling data stored in the memory 620. 600's various functions and processing data.
  • the processor 610 may use at least one of digital signal processing (Digital Signal Processing, DSP), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), and Programmable Logic Array (Programmable Logic Array, PLA).
  • DSP Digital Signal Processing
  • FPGA Field-Programmable Gate Array
  • PLA Programmable Logic Array
  • the processor 610 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), a modem, and the like.
  • the CPU mainly processes the operating system, user interface, and application programs; the GPU is used for rendering and drawing of display content; the modem is used for processing wireless communication. It can be understood that the above-mentioned modem may not be integrated into the processor 610, but may be implemented by a communication chip alone.
  • the memory 620 may include random access memory (RAM) or read-only memory (Read-Only Memory).
  • the memory 620 may be used to store instructions, programs, codes, code sets or instruction sets.
  • the memory 620 may include a program storage area and a data storage area, where the program storage area may store instructions for implementing the operating system and instructions for implementing at least one function (such as touch function, sound playback function, image playback function, etc.) , Instructions used to implement the following various method embodiments, etc.
  • the storage data area can also store data created by the server 600 during use (such as phone book, audio and video data, chat record data) and the like.
  • FIG. 9 shows a structural block diagram of a computer-readable storage medium provided by an embodiment of the present application.
  • the computer-readable storage medium 700 stores program codes, and the program codes can be invoked by a processor to execute the methods described in the foregoing method embodiments.
  • the computer-readable storage medium 700 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM.
  • the computer-readable storage medium 700 includes a non-transitory computer-readable storage medium.
  • the computer-readable storage medium 700 has a storage space for the program code 710 for executing any method steps in the above-mentioned methods. These program codes can be read from or written into one or more computer program products.
  • the program code 710 may be compressed in a suitable form, for example.

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Abstract

本申请公开了一种信息推送方法、装置、服务器及存储介质。所述方法包括：将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；根据所述用户画像向所述用户标识对应的电子设备进行信息推送。从而可以将不同的应用程序收集用户数据进行统一，同步到同一个用户，根据不同的应用程序收集的用户数据，生成全面的用户画像，从而实现精准的信息推送。

Description

信息推送方法、装置、服务器及存储介质 技术领域
本申请涉及大数据技术领域，更具体地，涉及一种信息推送方法、装置、服务器及存储介质。
背景技术
随着科技的发展，人们的生活日益丰富，手机、平板电脑等移动终端使用越来越广泛，功能也越来越多，已经成为人们日常生活的必备的电子设备。为了提高用户对电子设备使用的便捷性，可以向用户进行信息推送。但是，通常推送的信息精确性不高，不符合用户的实际需求。
发明内容
本申请提出了一种信息推送方法、装置、服务器及存储介质，以实现精准的信息推送。
第一方面，本申请实施例提供了一种信息推送方法，应用于服务器，该方法包括：将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；根据所述用户画像向所述用户标识对应的电子设备进行信息推送。
第二方面，本申请实施例提供了一种信息推送装置，应用于服务器，该装置包括：关联模块，用于将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；生成模块，用于根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；推送模块，根据所述用户画像向所述用户标识对应的电子设备进行信息推送。
第三方面，本申请实施例提供了一种服务器，该服务器包括一个或多个处理器；存储器；一个或多个应用程序，其中所述一个或多个应用程序被存储在所述存储器中并被配置为由所述一个或多个处理器执行，所述一个或多个程序配置用于执行如上述应用于服务器的方法。
第四方面，本申请实施列提供一种计算机可读存储介质，所述计算机可读存储介质中存储有程序代码，其中，在所述程序代码运行时执行上述的方法。
相对于现有技术，本申请提出的信息推送方法，将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；根据所述用户画像向所述用户标识对应的电子设备进行信息推送。从而可以将不同的应用程序收集用户数据进行统一，同步到同一个用户，根据不同的应用程序收集的用户数据，生成全面的用户画像，从而实现精准的信息推送。
本申请的这些方面或其他方面在以下实施例的描述中会更加简明易懂。
附图说明
为了更清楚地说明本申请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申请的一些实施例，对于本领域技术人员来讲，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示出了本申请一个实施例提供的信息推送方法的流程图。
图2示出了本申请另一个实施例提供的信息推送方法的流程图。
图3示出了本申请再一个实施例提供的信息推送方法的流程图。
图4示出了在图3所提供的实施例的基础上提供的信息推送方法中步骤S320的流程图。
图5示出了在图3所提供的实施例的基础上提供的信息推送方法中步骤S330的流程图。
图6示出了本申请又一个实施例提供的信息推送方法的流程图。
图7示出了本申请一个实施例提供的信息推送装置的功能模块图。
图8示出了本申请实施例提出的用于执行根据本申请实施例的信息推送方法的服务器的结构框图。
图9示出了本申请实施例提供的用于保存或者携带实现根据本申请实施例的信息推送方法的程序代码的存储介质。
具体实施方式
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述。
随着技术的发展，人们在生活中经常使用手机，平板电脑等电子设备，人们通过在电子设备上安装多种应用程序来满足日常的工作或娱乐的需求。人们在使用电子设备上的应用程序程序时，应用程序会对使用者的用户数据进行收集，例如，在使用淘宝时，可以收集到使用者的浏览信息以及购买信息。从而，不同的应用程序可以收集的不同的用户数据。
通过各个应用程序收集到的用户数据，可以通过所述用户数据构建对应的用户画像。其中，用户画像即信息标签化，指对一个人的身份数据、消费数据、行为数据等经过数据分析抽象出的一个标签化的用户模型数据。用户画像为公司或企业提供了足够的信息基础，可以精准定位用户群体以及用户需求，由此，可以根据用户画像进行信息推送。
发明人在研究中发现，若仅针对某个应用程序所收集的用户数据生成用户画像，则会出现用户画像片面，用户画像不全等现象；若基于该用户画像进行信息推送，则会造成推送不准确的情况，从而影响业务的发展。发明人认为需要根据多个应用程序收集的用户数据生成用户画像，才能得到全面的用户画像，基于全面的用户画像才能进行精准的信息推送。然而，发明人发现不同的应用程序中，对用户的标识不一致。例如，用户A使用了应用程序B和应用程序C，应用程序B中对用户A的标识为X，而应用程序C对用户A的标识为Y。在获取到应用程序B和应用程序C收集的用户数据时，则无法确定标识为X的用户数据和标识为Y的用户数据是否是属于同一个用户的，从而难以生成全面的用户画像。
因此，发明人提出本申请的信息推送方法，将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；根据所述用户画像向所述用户标识对应的电子设备进行信息推送。从而可以将不同的应用程序收集用户数据进行统一，同步到同一个用户，根据不同的应用程序收集的用户数据，生成全面的用户画像，从而实现精准的信息推送。
下面将对本申请实施例进行详细的说明。
请参阅图1，本申请实施例提供了一种信息推送方法，可应用于用户终端，本实施例描述的是用户终端侧的步骤流程，具体的该方法可以包括：
步骤S110：将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备。
在电子设备中，可以安装多个不同的应用程序，用户在使用这些应用程序 时，可以收集到用户在所述应用程序中的行为数据，例如，用户的浏览信息，观看信息等。其中，应用程序收集用户数据的方式可以是埋点。通过预先在应用程序中进行埋点，在用户使用所述应用程序的过程中，则可以根据所述埋点获取到对应的用户数据。在所述服务器收集各个应用程序收集的用户数据时，可以设置一个上报接口，应用程序可以通过所述上报接口将收集到的用户数据上报给服务器，从而所述服务器可以获取到各个应用程序收集的用户数据。
其中，不同的应用程序收集的用户数据中对用户的标识不同。由此，对不同的应用程序收集的用户数据，难以区分哪些用户数据是来源于同一个电子设备的。但是在不同的应用程序收集的用户数据中，都会包括设备识别码，由此可以通过所述用户数据中的设备识别码来确定哪些数据是数据同一个用户的。例如，应用程序A收集到的用户数据a中的设备识别码为Aa，应用程序B收集到的用户数据b中的设备识别码为Aa，由此可以确定用户数据a和用户数据b是在同一台电子设备上产生的。由此可以在不同的应用程序收集的用户数据中区分出来源于同一个电子设备的用户数据。
通常情况下，来源与同一电子设备的用户数据对应的一个用户，即来源于同一电子设备的用户数据是同一个用户的行为所产生的。在获取到同一电子设备中不同应用程序收集的用户数据时，可以将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备，从而可以将不同的用户数据与应用程序的关联关系，转换为用户数据与用户的关联关系，方便根据所述用户关联的用户数据，建立对应的用户画像。其中，电子设备可以是智能手机、平板电脑、电子书等能够运行应用程序的电子设备。若电子设备为智能手机，则可以收集到该智能手机中安装的多个应用程序对应的用户数据，若电子设备为平板电脑，则可以收集到该平板电脑中安装的多个应用程序对应的用户数据。
步骤S120：根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像。
在获取到同一电子设备中不同应用程序收集的用户数据关联到同一用户标识后，所述用户数据则为与用户标识的关联关系，其中，一个用户标识，可以是表示同一个用户的标识符。此时，所述用户标识关联的用户数据则为某个用户对应的用户数据，所述用户数据中包括各个应用程序收集的数据。由此，所述用户标识关联的用户数据较为完整，从而可以根据用户标识关联的用户数据生成的与所述用户标识对应的用户画像也较为完整。
作为一种实施方式，所述用户数据可以是标签数据，从而，在生成与所述用户标识关联的用户画像时，则可以直接将所述用户标识所关联的用户数据整合在一起作为所述用户标识对应的用户画像。
作为另一种实施方式，所述用户数据可以是各个应用程序收集到的基础数据，在获取到所述用户标识关联的用户数据时，可以将所述用户数据标签化，转换为对应的标签数据，从而可以根据所述用户标识与所述标签数据的关联关系，生成与所述用户标识对应的用户画像。
步骤S130：根据所述用户画像向所述用户标识对应的电子设备进行信息推送。
在生成所述用户标识对应的用户画像后，可以将所述用户标识以及所述用户标识对应的用户画像对应存储起来，在信息推送时，可以根据所述用户画像向所述用户标识对应的电子设备进行信息推送。
在进行信息推送时，可以已知待推送数据，根据所述用户画像确定需要推送的用户，从而可以将所述待推送信息推送给与所述用户标识对应的电子设备，以指示所述电子设备接收所述待推送数据，将所述待推送数据进行展示。此外，还可以是根据所述用户画像，对不同的用户进行不同的信息推送，从而可以实现为单个用户专门制定推送内容，实现较为精准的数据推荐。
本申请提出信息推送方法，将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；根据所述用户画像向所述用户标识对应的电子设备进行信息推送。从而可以将不同的应用程序收集用户数据进行统一，同步到同一个用户，根据不同的应用程序收集的用户数据，生成全面的用户画像，以实现精准的信息推送，使得信息推送更加具有针对性。
请参阅图2，本申请另一实施例提供了一种信息推送方法，本实施例在前述实施例的基础上，重点描述了将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识的过程，该方法可以包括：
步骤S210：获取每个应用程序收集的所述用户数据中携带的设备识别码。
在电子设备获取到各个应用程序收集的用户数据中，通常会包括用户的行为数据，用户行为产生的时间，以及对应的设备识别码等。对每个应用程序收集到的用户数据，可以对每条用户数据进行分析，提取所述用户数据中的设备识别码。其中，所述设备识别码可以是产生所述用户数据的电子设备的唯一标识，不同的电子设备的设备识别码不同。
步骤S220：将所述设备识别码作为所述用户标识，与所述用户数据关联。
在获取到所述设备识别码后，由于不同的电子设备对应不同的设备识别码，不会出现相同的设备识别码。而用户标识是用来标识不同的用户的。由于设备识别码为对电子设备的唯一标识，用户标识为对不同用户的标识，并且，用户标识对应电子设备，从而可以将所述设备识别码作为所述用户标识。
在获取到用户数据中携带的设备识别码时，则可以将用户数据与所述设备识别码进行关联。然而，在一些情况下，一个用户可能拥有多个电子设备，由此，可能出现同一用户数据对应着不同的设备识别码，在将用户数据与用户标识进行关联时，一个用户标识可以包括多个不同的设备识别码。可以是获取每个应用程序对应的用户注册信息；判断在不同的应用程序中，是否存在用户注册信息相同的应用程序；若存在，判断所述用户注册信息相同的应用程序收集的用户数据中携带的设备识别码是否相同；若相同，将所述设备识别码作为所述用户识别；若不相同，将不同的设备识别码分别与所述注册信息相同的应用程序的用户数据关联。
具体的，在获取到的用户数据中，每个用户数据都会对应着一个应用程序，从而可以获取每个应用程序的用户注册信息，其中，所述用户注册信息可以是在正常使用所述应用程序之前，需要完成的一些信息填写，用户填写的这些信息，则可以认为是用户注册信息。不同的应用程序中，收集的用户注册信息可能是相同的。例如，在应用程序QQ中，用户的注册信息可以是电话号码，在应用程序微信中，用户的注册信息中也包括电话号码，由此，在同一个用户使用QQ和微信时，QQ和微信所获取到的用户注册信息是相同的。然而，用户可能拥有两个电子设备，一个是手机，一个是平板，用户通常在手机上使用微信，在平板上使用QQ，那么，用户注册信息相同的用户，微信收集到的用户数据中的设备识别码与QQ收集到的用户数据中的设备识别码不同。那么手机的设备识别码与平板的设备识别码所对应的用户其实是同一个。从而可以将QQ收集的用户数据除了与收集QQ的用户数据的设备识别码进行关联之外，还可以与微信收集的用户数据中携带的设备识别码进行关联。
例如，同一个用户，使用微信的电子设备的设备识别码为D，微信收集到的用户数据为dd；使用QQ的电子设备的设备识别码为E，QQ收集到的用户数据为ee。微信和QQ的用户注册信息相同，那么可以将数据关联为E-D:dd，ee，其中，用户标识包括E和D，表示设备识别码E与设备识别码D对应同一个用户，而关联该用户标识的用户数据则为dd和ee。
此外，用户标识还可以是自定义的一个标识符号。例如，在一个用户对应多个设备识别码时，可以使用自定义的符号对用户进行区分。在将用户数据与用户标识进行关联时，还可以是获取每个应用程序的用户注册信息，根据映射表确定所述用户注册信息对应的用户标识；将每个应用程序收集到的用户数据与对应的所述用户标识进行关联。其中，服务器可以预先存储映射表，所述映射表包括用户注册信息与用户标识的对应关系，该映射表可以是通过大数据分析后得到的。在根据所述映射表确定所述注册信息所对应的用户标识时，可以是在所述映射表中查找所述用户注册信息，所述用户标识为在所述映射表中查找到的与所述用户注册信息对应的设备识别码。具体的，所述映射表的内容可以参照表1。
表1
用户注册信息 F G H
用户标识 f f g
在表1中，每个用户注册信息都对应着一个用户标识，其中不同的用户注册信息，可能对应着同一个用户标识，表明同一个用户所使用的不同的应用程序的用户注册信息可能不同。由此，对于每一个应用程序收集到用户数据，都可以与用户标识进行关联。
在将所述用户数据与用户标识进行关联后，还可以通过所述关联后的用户数据，获取到更多其他维度的用户数据。可以是从所述用户数据中提取用户身份信息，将所述用户身份信息与所述用户标识进行关联；根据所述用户身份信息从其他平台获取用户数据；根据所述身份信息与用户标识的关联关系，将从其他平台获取的所述用户数据与用户标识进行关联。
其中，所述用户身份信息可以是电话号码，在获取到某些将用户身份信息关联的用户数据时，可以将这些用户数据统一到用户标识中，具体的，由于用户数据与用户标识对应，在从所述用户数据中提取身份信息时，则可以获得身份信息与用户标识的关联关系，从而可以将用户身份信息对应的用户数据转换为与用户标识的关联关系。
步骤S230：根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像。
步骤S240：根据所述用户画像向所述用户标识对应的电子设备进行信息推送。
步骤S230至步骤S240可参照前述实施例对应部分，在此不再赘述。
本申请提出信息推送方法，获取每个应用程序收集的所述用户数据中携带的设备识别码；将所述设备识别码作为所述用户标识，与所述用户数据关联；根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；根据所述用户画像向所述用户标识对应的电子设备进行推送。从而可以将不同的应用程序收集用户数据进行统一，同步到同一个用户，根据不同的应用程序收集的用户数据，生成全面的用户画像，以实现精准的信息推送，使得信息推送更加具有针对性。
请参阅图3，本申请另一实施例提供了一种信息推送方法，本实施例在前述实施例的基础上，重点描述了根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像的过程，该方法可以包括：
步骤S310：将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备。
步骤S310可参照前述实施例对应部分，在此不再赘述。
步骤S320：对所述用户标识关联的用户数据进行预设处理得到处理后的用户数据。
将各个应用程序收集的用户数据与所述用户标识进行关联后，得到与用户标识关联的用户数据。与用户标识关联的用户数据包括了各个应用程序收集的用户，在各个应用程序收集的用户数据中，可能会存在重复的用户数据或是较为异常的用户数据。从而可以通过预设处理对每个用户标识关联的用户数据进行清洗。通过对用户标识关联的用户数据进行预设处理，可以使得每个用户标识关联的用户数据更加利于数据分析和数据挖掘。
作为一种实施方式，对用户标识关联的用户数据进行预设处理可以是对重复的用户数据进行去重处理。可以是获取每个用户标识关联的用户数据，对每个用户标识关联的用户数据，判断所述用户数据中是否存在多个相同内容的用户数据；若是，则对所述用户标识关联的用户数据进行去重处理。进行去重处理时，可以是将多个相同内容的用户数据，保留一条相同的用户数据，删除其余的相同内容的用户数据。
在一些实施方式中，对用户标识关联的用户数据进行预设处理可以是将每条用户数据的格式进行统一，可以预先设定预设格式，将用户数据的格式不为所述预设格式的用户数据，进行数据格式的转换，从而可以将所述用户标识关联的用户数据的格式进行统一，以便于利用所述用户数据进行数据分析和数据 挖掘。
在一些实施方式中，对用户关联的用户数据进行预设处理可以是对用户数据进行格式统一以及去重处理，其中进行格式统一和去重处理的顺序并不具体限定，可以是先对用户标识关联的用户数据进行去重处理，再对去重处理后的用户数据进行格式统一；也可以是先对用户数据进行格式统一，再对格式统一的用户数据进行去重处理。可根据实际的使用进行选择，在此不做具体限定。
由于用户标识关联的用户数据中包括读个应用程序收集的用户数据，在进行数据分析时，通常会根据分析的需求对用户标识关联的用户数据进行筛选，从而在对所述用户标识关联的用户数据进行预设处理之前，还需要确定需要进行预设处理的用户数据。具体的，可参阅图4，可以包括以下步骤：
步骤S321：确定目标需求。
在对用户标识关联的用户数据进行分析时，通常会根据目标需求对数据进行分析。作为一种实施方式，可以预先展示一个需求列表，所述需求列表中包括多个分析需求，从而可以将用户从所述需求列表中所选择的分析需求作为所述目标需求对用户数据进行筛选。
步骤S322：根据所述目标需求获取用户数据与所述目标需求的相关度。
在确定目标需求后，则可以根据所述目标需求获取用户数据与目标需求的相关度。作为一种实施方式，每条用户数据都会对应的一个应用程序，在确定用户数据与目标需求的相关度时，可以根据目标需求确定用户数据对应的应用程序与目标需求的相关度；将所述应用程序与所述目标需求的相关度作为所述应用程序收集到的用户数据与所述目标需求的相关度。
例如，目标需求为对该用户的消费能力的分析，则可以获取用户数据对应的应用程序，由于目标需求为对该用户的消费能力的分析，则需要获取到该用户的支付交易数据，从而可以根据应用程序收集的用户数据中的支付交易数据的条数占该应用程序收集的用户数据的总条数的比值确定所述应用程序与目标需求的相关度。其中，支付交易数据的条数占该应用程序收集的用户数据的总条数的比值越高，表示该应用程序与目标需求的相关度越高；支付交易数据的条数占该应用程序收集的用户数据的总条数的比值越低，表示该应用程序与目标需求的相关度越低，根据应用程序与目标需求的相关度，从而可以确定目标需求获取用户数据与所述目标需求的相关度。
步骤S323：根据所述用户数据与所述目标需求的相关度确定需要进行预设处理的用户数据。
在获取到用户数据与目标需求的相关度时，可以判断所述用户数据与所述目标需求的相关度是否大于预设相关度；若大于，则将所述用户数据作为需要进行预设处理的数据。若与所述目标需求的相关度小于预设相关度，表明对应的用户数据可能是与目标需求无关的数据，或是与目标需求的关系较小，不具备分析意义的数据。
例如，目标需求为对该用户的消费能力的分析，用户数据对应的应用程序有支付宝，抖音，京东，优酷视频；通过数据分析，得到上述的应用程序与目标需求之间的相关度分别为99％，0％，80％，2％。由此，可以确定支付宝收集的用户数据与目标需求之间的相关度为99％，抖音收集的用户数据与目标需求之间的相关度为0％，京东收集的用户数据与目标需求之间的相关度为80％，优酷视频收集的用户数据与目标需求之间的相关度为10％。预设相关度为60％，从而可以将支付宝收集的该用户的用户数据与京东收集的该用户的用户数据作为需要进行预设处理的用户数据。
步骤S330：根据所述处理后的用户数据生成所述用户标识对应的用户画像。
在对用户标识关联的用户数据进行预设处理后，可以得到处理后的用户数据，从而可以根据处理后的用户数据生成所述用户标识对应的用户画像。其中，各个应用程序收集的用户数据可以标签数据，也可以是基础的行为数据。在生成用户画像时，通常是以标签数据描述用户画像。在根据所述处理后的用户数据生成所述用户标识对应的用户画像，可以参照图5，具体可包括以下步骤：
步骤S331：获取处理后的用户数据。
步骤S332：确定所述处理后的用户数据是否为标签数据，若是，执行步骤S333；若否，执行步骤S334。
步骤S333：将关联到所述用户标识的标签数据作为所述用户标识对应的用户画像。
步骤S334：对所述处理后的用户数据进行分析转化为所述标签数据，以所述标签数据作为所述用户标识对应的用户画像。
在对用户标识关联的用户数据进行预设处理后，可以获取到该用户标识关联的处理后的用户数据；从而可以判断所述用户数据是否为标签数据，若处理后的用户数据为标签数据，则可以不对处理后的用户处理再进行转换，可以直接将关联到所述用户标识的标签数据作为所述用户标识对应的用户画像。若确定所述处理后的用户数据不为标签数据，则需要对所述处理后的用户数据进行 分析转化为所述标签数据，以所述用户数据转换的标签数据作为所述用户标识对应的用户画像。具体的，将用户数据转换为标签数据可以通过大数据分析，结合对应的算法得到所述标签数据，从而可以将所述标签数据作为所述用户标识对应的用户画像。
S340：根据所述用户画像向所述用户标识对应的电子设备进行信息推送。
步骤S340可参照前述实施例对应部分，在此不再赘述。
本申请提出信息推送方法，将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；对所述用户标识关联的而用户数据进行预设处理得到处理后的用户数据；根据所述处理后的用户数据生成所述用户标识对应的用户画像；根据所述用户画像向所述用户标识对应的电子设备进行信息推送。通过对用户标识关联的用户数据进行预设处理，去除用户数据中不需要的数据，以便于根据该用户数据进行分析，再根据处理后的用户数据生成对应的用户画像，从而生成全面的用户画像，以实现精准的信息推送，使得信息推送更加具有针对性。
请参阅图6，本申请又一实施例提供了一种信息推送方法，本实施例在前述实施例的基础上，重点描述了根据所述用户画像向所述用户标识对应的电子设备进行信息推送的过程，该方法可以包括：
步骤S410：将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备。
步骤S420：根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像。
步骤S410至步骤S420可参照前述实施例对应部分，在此不再赘述。
在根据用户画像进行信息推送时，可以对单个用户的用户画像进行分析，对用户制定推送数据，还可以是根据推送数据，确定需要推送的用户。
步骤S430：获取待推送数据。
步骤S440：确定所述待推送数据所对应的标签数据。
步骤S450：判断所述用户画像中是否存在与所述待推送数据所对应的标签数据。
步骤S460：若存在，则向所述用户标识对应的电子设备发送所述待推送数据。
其中，步骤S430至步骤S460描述的是存在待推送数据，根据用户画像确定需要进行信息推送的用户。具体的，所有的用户标识对应的用户画像可以存 储在一个服务器中，在进行信息推送时，可以是获取待推送数据，所述服务器确定所述待推送数据所对应的标签数据；判断所述用户画像中是否存在与所述待推送数据对应的标签数据，若存在，表明该用户画像所代表的用户可能会对待推送数据的内容感兴趣，若不存在，表明该用户画像所代表的用户对待推送数据的内容不感兴趣。
例如，待推送数据为体育信息，服务器可以根据所述待推送数据所所属的领域确定待推送数据对应的标签数据，从而可以确定所述待推送数据对应的标签数据为与体育相关的标签数据。在确定待推送数据对应的标签数据后，服务器可以判断用户画像中是否存在与体育相关的标签数据的用户标识；若用户画像中存在与体育相关的标签数据，表明该用户标识对应的用户可能会对体育信息产生兴趣，若用户画像中不存在与体育相关的标签数据，表明该用户标识对应的用户对体育信息不感兴趣，从而接收该推送数据的欲望较低。从而可以根据用户画像对待推送数据的推送对象进行确定，避免无效的信息推送。
步骤S470：获取所述用户画像中的标签数据。
步骤S480：确定与所述标签数据相关的待推送数据。
步骤S490：将所述待推送数据发送给所述用户标识对应的电子设备。
步骤S430至步骤S460描述的是对单个用户画像进行分析，为该用户定制推送的情况。具体的，在一些业务需求中，需要对一些高价值用户进行推送制定。其中，高价值用户可以是在某个应用程序中的注册时间较长的用户，或是在应用程序中消耗的金钱较高的用户，其中，不同业务需求中，对高价值用户的定义可以不同，可以结合实际的分析进行选择，在此不做具体的限定。
在确定高价值用户后，则可以获取到与对应所述高价值用户的用户画像；从而可以获取到用户画像中的标签数据，根据所述标签数据，确定与所述标签数据相关的待推送数据，再将待推送数据发送给所述用户标识对应的电子设备进行展示。
例如，在分析某个高价值用户的用户画像时，所述用户画像中包括程序员的标签数据。则可以针对程序员的标签信息推送与代码开发等相关的技术新闻；若所述用户画像中还包括爱购买奢侈品的数据标签，则可以针对该数据标签，推送奢侈品牌的时装秀，以及新款发布的一些新闻。在根据用户画像确定待推送数据时，可以更好的掌握用户的兴趣爱好，从而可以使得待推送数据是用户感兴趣的，从而可以提升用户的满意度。
需要说明的是，在该实施例中，若在执行步骤S410和步骤S420后，继续 执行步骤S430至步骤S460，则不会再执行步骤S470至步骤S490；若在执行步骤S410和步骤S420后，继续执行步骤S470至步骤S490，则不会再执行步骤S430至步骤S460。其中，步骤S430至步骤S460为一种信息推送方式，步骤S470至步骤S490为另一种信息推送方式。具体需要选用哪一种信息推送方式，可根据实际的需求进行选择，在此不做具体限定。
本申请提出信息推送方法，提供了两种信息推送方式，其中一种为将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；获取待推送数据；确定所述待推送数据所对应的标签数据；判断所述用户画像中是否存在与所述待推送数据所对应的标签数据；若存在，则向所述用户标识对应的电子设备发送所述待推送数据。另一种为将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；获取所述用户画像中的标签数据；确定与所述标签数据相关的待推送数据；将所述待推送数据发送给所述用户标识对应的电子设备。将不同的应用程序收集用户数据进行统一，同步到同一个用户，根据不同的应用程序收集的用户数据，生成全面的用户画像，以实现精准的信息推送，使得信息推送更加具有针对性。
请参阅图7，其示出了本申请实施例提供的一种信息推送装置500，应用于电子设备，所述装置500包括关联模块510、生成模块520、推送模块530。
所述关联模块510，用于将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；所述生成模块520，用于根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；所述推送模块530，根据所述用户画像向所述用户标识对应的电子设备进行信息推送。
进一步的，所述关联模块510还用于获取每个应用程序收集的所述用户数据中携带的设备识别码；将所述设备识别码作为所述用户标识，与所述用户数据关联。
进一步的，所述装置500还包括获取模块，用于获取每个应用程序对应的用户注册信息；判断在不同应用程序中，是否存在用户注册信息相同的应用程序；若存在，判断所述用户注册信息相同的应用程序收集的用户数据中携带的设备识别码是否相同；若相同，执行将所述设备识别码作为所述用户标识；若 不相同，将不同的设备识别码分别与注册信息相同的应用程序的用户数据关联。
进一步的，预先存储有映射表，所述映射表包括用户注册信息与用户标识的对应关系，所述关联模块510还用于获取每个应用程序的用户注册信息；根据所述映射表确定所述用户注册信息所对应的用户标识；将每个应用程序收集到的用户数据与对应的所述用户标识进行关联。
进一步的，所述关联模块510还用于在所述映射表中查找所述用户注册信息；所述用户标识为在所述映射表中查找到的与所述用户注册信息对应的设备识别码。
进一步的，所述获取模块还用于从所述用户数据中提取用户身份信息，将所述用户身份信息与所述用户标识进行关联；根据所述用户身份信息从其他平台获取用户数据；根据所述身份信息与用户标识的关联关系，将从其他平台获取的所述用户数据与用户标识进行关联。
进一步的，所述生成模块520还用于对所述用户标识关联的用户数据进行预设处理得到处理后的用户数据；根据所述处理后的用户数据生成所述用户标识对应的用户画像。
进一步的，所述生成模块520还用于判断所述用户标识关联的用户数据中是否存在多个相同内容的用户数据；若是，则对所述用户标识关联的用户数据进行去重处理。
进一步的，所述生成模块520还用于确定需要进行预设处理的用户数据。
进一步的，所述生成模块520还用于确定目标需求；根据所述目标需求获取用户数据与所述目标需求的相关度；根据所述用户数据与所述目标需求的相关度确定需要进行预设处理的用户数据。
进一步的，所述生成模块520还用于根据目标需求确定用户数据对应的应用程序与所述目标需求的相关度；将所述应用程序与所述目标需求的相关度作为所述应用程序收集到的用户数据与所述目标需求的相关度。
进一步的，所述生成模块520还用于判断所述用户数据与所述目标需求的相关度是否大于预设相关度；若是，将所述用户数据作为需要进行预设处理的用户数据。
进一步的，所述生成模块520还用于确定所述处理后的用户数据是否为标签数据；若否，对所述处理后的用户数据进行分析转化为所述标签数据，以所述标签数据作为所述用户标识对应的用户画像。
进一步的，所述用户数据为标签数据，所述生成模块520还用于将关联到 所述用户标识的标签数据作为所述用户标识对应的用户画像。
进一步的，所述推送模块530还用于获取待推送数据；确定所述待推送数据所对应的标签数据；判断所述用户画像中是否存在与所述待推送数据所对应的标签数据；若存在，则向所述用户标识对应的电子设备发送所述待推送数据。
进一步的，所述推送模块530还用于获取所述用户画像中的标签数据；确定与所述标签数据相关的待推送数据；将所述待推送数据发送给所述用户标识对应的电子设备。
需要说明的是，所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述装置和模块的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
综上所述，本申请提供的信息推送方法，将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；根据所述用户画像向所述用户标识对应的电子设备进行信息推送。从而可以将不同的应用程序收集用户数据进行统一，同步到同一个用户，根据不同的应用程序收集的用户数据，生成全面的用户画像，以实现精准的信息推送，使得信息推送更加具有针对性。
在本申请所提供的几个实施例中，所显示或讨论的模块相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或模块的间接耦合或通信连接，可以是电性，机械或其它的形式。
另外，在本申请各个实施例中的各功能模块可以集成在一个处理模块中，也可以是各个模块单独物理存在，也可以两个或两个以上模块集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。
请参考图8，其示出了本申请实施例提供的一种服务器的结构框图。本申请中的服务器600可以包括一个或多个如下部件：处理器610、存储器620，以及一个或多个应用程序，其中一个或多个应用程序可以被存储在存储器620中并被配置为由一个或多个处理器610执行，一个或多个程序配置用于执行如前述方法实施例所描述的方法。
处理器610可以包括一个或者多个处理核。处理器610利用各种接口和线路连接整个服务器600内的各个部分，通过运行或执行存储在存储器620内的指令、程序、代码集或指令集，以及调用存储在存储器620内的数据，执行服 务器600的各种功能和处理数据。可选地，处理器610可以采用数字信号处理(Digital Signal Processing，DSP)、现场可编程门阵列(Field－Programmable Gate Array，FPGA)、可编程逻辑阵列(Programmable Logic Array，PLA)中的至少一种硬件形式来实现。处理器610可集成中央处理器(Central Processing Unit，CPU)、图像处理器(Graphics Processing Unit，GPU)和调制解调器等中的一种或几种的组合。其中，CPU主要处理操作系统、用户界面和应用程序等；GPU用于负责显示内容的渲染和绘制；调制解调器用于处理无线通信。可以理解的是，上述调制解调器也可以不集成到处理器610中，单独通过一块通信芯片进行实现。
存储器620可以包括随机存储器(Random Access Memory，RAM)，也可以包括只读存储器(Read-Only Memory)。存储器620可用于存储指令、程序、代码、代码集或指令集。存储器620可包括存储程序区和存储数据区，其中，存储程序区可存储用于实现操作系统的指令、用于实现至少一个功能的指令(比如触控功能、声音播放功能、图像播放功能等)、用于实现下述各个方法实施例的指令等。存储数据区还可以存储服务器600在使用中所创建的数据(比如电话本、音视频数据、聊天记录数据)等。
请参考图9，其示出了本申请实施例提供的一种计算机可读存储介质的结构框图。该计算机可读存储介质700中存储有程序代码，所述程序代码可被处理器调用执行上述方法实施例中所描述的方法。
计算机可读存储介质700可以是诸如闪存、EEPROM(电可擦除可编程只读存储器)、EPROM、硬盘或者ROM之类的电子存储器。可选地，计算机可读存储介质700包括非瞬时性计算机可读介质(non-transitory computer-readable storage medium)。计算机可读存储介质700具有执行上述方法中的任何方法步骤的程序代码710的存储空间。这些程序代码可以从一个或者多个计算机程序产品中读出或者写入到这一个或者多个计算机程序产品中。程序代码710可以例如以适当形式进行压缩。
最后应说明的是：以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不驱使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (20)

  1. 一种信息推送方法，其特征在于，应用于服务器，所述方法包括：
    将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；
    根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；
    根据所述用户画像向所述用户标识对应的电子设备进行信息推送。
  2. 根据权利要求1所述的方法，其特征在于，所述将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，包括：
    获取每个应用程序收集的所述用户数据中携带的设备识别码；
    将所述设备识别码作为所述用户标识，与所述用户数据关联。
  3. 根据权利要求1所述方法，其特征在于，所述方法还包括：
    获取每个应用程序对应的用户注册信息；
    判断在不同应用程序中，是否存在用户注册信息相同的应用程序；
    若存在，判断所述用户注册信息相同的应用程序收集的用户数据中携带的设备识别码是否相同；
    若相同，执行将所述设备识别码作为所述用户标识；
    若不相同，将不同的设备识别码分别与注册信息相同的应用程序的用户数据关联。
  4. 根据权利要求1所述的方法，其特征在于，预先存储有映射表，所述映射表包括用户注册信息与用户标识的对应关系，将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，包括：
    获取每个应用程序的用户注册信息；
    根据所述映射表确定所述用户注册信息所对应的用户标识；
    将每个应用程序收集到的用户数据与对应的所述用户标识进行关联。
  5. 根据权利要求4所述的方法，其特征在于，所述根据所述映射表确定所述注册信息所对应的用户标识，包括：
    在所述映射表中查找所述用户注册信息；
    所述用户标识为在所述映射表中查找到的与所述用户注册信息对应的设备识别码。
  6. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    从所述用户数据中提取用户身份信息，将所述用户身份信息与所述用户标识进行关联；
    根据所述用户身份信息从其他平台获取用户数据；
    根据所述身份信息与用户标识的关联关系，将从其他平台获取的所述用户数据与用户标识进行关联。
  7. 根据权利要求1-6任一项所述的方法，其特征在于，所述根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像，包括：
    对所述用户标识关联的用户数据进行预设处理得到处理后的用户数据；
    根据所述处理后的用户数据生成所述用户标识对应的用户画像。
  8. 根据权利要求7所述的方法，其特征在于，所述对所述用户标识关联的用户数据进行预设处理得到处理后的用户数据，包括：
    判断所述用户标识关联的用户数据中是否存在多个相同内容的用户数据；
    若是，则对所述用户标识关联的用户数据进行去重处理。
  9. 根据权利要求7所述的方法，其特征在于，所述根据所述处理后的用户数据生成所述用户画像之前，还包括：
    确定需要进行预设处理的用户数据。
  10. 根据权利要求9所述的方法，其特征在于，所述确定需要进行预设处理的用户数据，包括：
    确定目标需求；
    根据所述目标需求获取用户数据与所述目标需求的相关度；
    根据所述用户数据与所述目标需求的相关度确定需要进行预设处理的用户数据。
  11. 根据权利要求10所述的方法，其特征在于，所述根据所述目标需求获取用户数据与所述目标需求的相关度，包括：
    根据目标需求确定用户数据对应的应用程序与所述目标需求的相关度；
    将所述应用程序与所述目标需求的相关度作为所述应用程序收集到的用户数据与所述目标需求的相关度。
  12. 根据权利要求10所述的方法，其特征在于，所述根据所述用户数据与所述目标需求的相关度确定需要进行预设处理的用户数据，包括：
    判断所述用户数据与所述目标需求的相关度是否大于预设相关度；
    若是，将所述用户数据作为需要进行预设处理的用户数据。
  13. 根据权利要求7-12任一项所述的方法，其特征在于，所述根据所述处理后的用户数据生成所述用户标识对应的用户画像，包括：
    确定所述处理后的用户数据是否为标签数据；
    若否，对所述处理后的用户数据进行分析转化为所述标签数据，以所述标签数据作为所述用户标识对应的用户画像。
  14. 根据权利要求7-12任一项所述的方法，其特征在于，所述用户数据为标签数据，所述根据所述处理后的用户数据生成所述用户标识对应的用户画像，包括：
    将关联到所述用户标识的标签数据作为所述用户标识对应的用户画像。
  15. 根据权利要求1-14任一项所述的方法，其特征在于，所述根据所述用户画像向所述用户标识对应的电子设备进行信息推送，包括：
    获取待推送数据；
    确定所述待推送数据所对应的标签数据；
    判断所述用户画像中是否存在与所述待推送数据所对应的标签数据；
    若存在，则向所述用户标识对应的电子设备发送所述待推送数据。
  16. 根据权利要求1-14任一项所述的方法，其特征在于，所述根据所述用户画像向所述用户标识对应的电子设备进行信息推送，包括：
    获取所述用户画像中的标签数据；
    确定与所述标签数据相关的待推送数据；
    将所述待推送数据发送给所述用户标识对应的电子设备。
  17. 一种信息推送装置，其特征在于，应用于服务器，所述装置包括：
    关联模块，用于将同一电子设备中不同应用程序收集的用户数据关联到同一用户标识，所述用户标识对应所述电子设备；
    生成模块，用于根据所述用户标识关联的用户数据生成所述用户标识对应的用户画像；
    推送模块，根据所述用户画像向所述用户标识对应的电子设备进行信息推送。
  18. 根据权利要求17所述的装置，其特征在于，所述关联模块还用于获取每个应用程序收集的所述用户数据中携带的设备识别码；将所述设备识别码作为所述用户标识，与所述用户数据关联。
  19. 一种服务器，其特征在于，所述电子设备包括：
    一个或多个处理器；
    一个或多个应用程序，其中所述一个或多个应用程序被存储在所述存储器中并被配置为由所述一个或多个处理器执行，所述一个或多个程序配置用于执行如权利要求1至16任一项所述的方法。
  20. 一种计算机可读取存储介质，其特征在于，所述计算机可读取存储介质中存储有程序代码，所述程序代码可被处理器调用执行如权利要求1至16任一项所述的方法。
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