WO2021093423A1 - 一种标记用户的方法和装置 - Google Patents

一种标记用户的方法和装置 Download PDF

Info

Publication number
WO2021093423A1
WO2021093423A1 PCT/CN2020/112797 CN2020112797W WO2021093423A1 WO 2021093423 A1 WO2021093423 A1 WO 2021093423A1 CN 2020112797 W CN2020112797 W CN 2020112797W WO 2021093423 A1 WO2021093423 A1 WO 2021093423A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
node
relationship chain
access
message link
Prior art date
Application number
PCT/CN2020/112797
Other languages
English (en)
French (fr)
Inventor
戚华南
周正
胡周丽
费妍茹
赵帅
Original Assignee
北京沃东天骏信息技术有限公司
北京京东世纪贸易有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京沃东天骏信息技术有限公司, 北京京东世纪贸易有限公司 filed Critical 北京沃东天骏信息技术有限公司
Publication of WO2021093423A1 publication Critical patent/WO2021093423A1/zh

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9536—Search customisation based on social or collaborative filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0269—Targeted advertisements based on user profile or attribute
    • G06Q30/0271—Personalized advertisement
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services

Definitions

  • the present invention relates to the field of computer technology, and in particular to a method and device for marking users.
  • Modern marketing or operations generally combine operational marketing experience, social hotspots, advertising reach, big data analysis and other comprehensive solutions to selectively conduct operations or marketing, such as online promotion, big data to identify people, consumption power, historical consumption records, etc. Comprehensive analysis of methods, so as to push news for each user group.
  • embodiments of the present invention provide a method and device for marking users to solve the technical problems of redundant push and invalid push.
  • a method for marking users including: obtaining user tracking information corresponding to each message link, and constructing a user relationship chain based on the user tracking information corresponding to each message link , And obtain the user tracking data of each node user in the user relationship chain; and mark the user of each node according to the user tracking data and user portrait data of each node user in the user relationship chain.
  • the message link includes an original message link and a sharing message link generated after at least one fission of the original message link.
  • the user tracking information includes channel identification, the user's first platform identification, user's location information, device information, access time, access times, access duration, and access trajectory; and wherein, the device information includes the The IP address, model, brand, and device identification of the device.
  • the user tracking information includes channel identification, user's second platform identification, user's location information, device information, access time, access times, access duration, and access trajectory; and wherein, the device information includes the The IP address, model, brand, and device identification of the device.
  • the user tracking information includes channel identification, user's first platform identification, user's second platform identification, user's location information, device information, access time, access times, access duration, and access trajectory; and where,
  • the device information includes the IP address, model, brand, and device identification of the device.
  • the method further includes: for any node user in the user relationship chain, if the user tracking information contains information about the node user
  • the first platform identifier is used to name the node user using the first platform identifier, otherwise the node user is named using the second platform identifier.
  • the method further includes: determining the each node user according to the marking result of each node user The push strategy of the node user; and the user tracking information generated based on the push strategy, update the user relationship chain and the user tracking data of each node user in the user relationship chain, thereby updating the mark of each node user.
  • the user tracking information further includes the association relationship between the user's first platform identifier and the second platform identifier; after naming the node user with the second platform identifier, it also includes: according to the node user The associated relationship between the first platform identifier and the second platform identifier of the node user is named after the first platform identifier.
  • the user tracking data includes the number of reposts, access probability, and conversion rate.
  • a device for marking users including: a construction module for obtaining user tracking information corresponding to each message link, and constructing the user tracking information corresponding to each message link User relationship chain, and obtain the user tracking data of each node user in the user relationship chain; and a marking module, which is used to compare the user tracking data and user portrait data of each node user in the user relationship chain to each node The user is flagged.
  • an electronic device including: one or more processors; a storage device, configured to store one or more programs, when the one or more programs are Execution by one or more processors, so that the one or more processors implement the method described in any one of the foregoing embodiments.
  • a computer-readable medium having a computer program stored thereon, and when the program is executed by a processor, the method described in any of the foregoing embodiments is implemented.
  • An embodiment of the above-mentioned invention has the following advantages or beneficial effects: because the user tracking information corresponding to each message link is used to construct a user relationship chain and the user tracking data of each node user is obtained, thereby combining user portrait data to mark each node user Therefore, it overcomes the technical problems of redundant push and invalid push in the prior art.
  • the embodiment of the present invention constructs a user relationship chain according to the user tracking information corresponding to each message link, and performs data analysis and marking on each node user in the user relationship chain, and matches an appropriate push strategy based on the marking result to avoid redundant push and invalidity Push to improve the reach and conversion rate in a targeted manner.
  • Fig. 1 is a schematic diagram of the main flow of a method for marking users according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of the main flow of a method for marking users according to a reference embodiment of the present invention
  • FIG. 3 is a schematic diagram of the main modules of the device for marking users according to an embodiment of the present invention.
  • Fig. 4 is an exemplary system architecture diagram to which the embodiment of the present invention can be applied;
  • Fig. 5 is a schematic structural diagram of a computer system suitable for implementing the terminal device or the server of the embodiment of the present invention.
  • Fig. 1 is a schematic diagram of the main flow of a method for marking users according to an embodiment of the present invention.
  • the method for marking users may include:
  • Step 101 Obtain user tracking information corresponding to each message link, construct a user relationship chain according to the user tracking information corresponding to each message link, and obtain user tracking data of each node user in the user relationship chain.
  • the message link includes an original message link and a sharing message link generated after at least one fission of the original message link.
  • the server pushes the original message link to the user terminal through channels such as mobile phone text messages, various social software, large-screen delivery, or advertising.
  • the user makes the original message link fission through sharing, forwarding, etc. to generate at least one sharing message link, and other users can continue Visit the shared message link generated by the fission.
  • the text content received in each text message is the same, but the link information inside is different. It is dynamically and personalized for a certain user, who has clicked this link several times, when and where, and this Follow-up browsing and purchases of the link can be tracked based on this message link.
  • the information that the server pushes to the group is the same, but when the user in the group clicks, the message link is dynamically processed, and the information of the user who currently clicks the message link is added or reported (similar to cookie, WeChat) Unique mark, unique device number, brand, model, etc.), combined with the added or reported information to integrate the message link, can uniquely identify the current user and track the user's subsequent behavior.
  • a large amount of user tracking information can be collected through the user tracking information corresponding to each message link, and a large amount of user tracking information can be linked to build
  • the user relationship chain is obtained, and the user tracking data of each node user in the user relationship chain can also be analyzed and obtained.
  • the user tracking information includes channel identification, the user's first platform identification, user's location information, device information, access time, number of access times, access duration, and access trajectory.
  • the user tracking information includes channel identification, user's second platform identification, user's location information, device information, access time, access times, access duration, and access trajectory.
  • the user tracking information includes channel identification, user's first platform identification, user's second platform identification, user's location information, device information, access time, access times, access duration, and access trajectory.
  • the device information includes the IP address, model, brand, and device identification of the device.
  • the user tracking data includes the number of reposts, access probability, and conversion rate, and may also include the user's location information, access habits, consumption ability, and the like.
  • the user's trajectory can be understood by obtaining the IP address of the user's device, and the same place has the same IP. If users go to different places, whether they are connected by WIFI or 4G, the IP of the device will be different, so information such as the location and track of the user can be accurately analyzed based on the IP address. For example, if a user has always been one or a few fixed IP addresses, then the user may be an abnormal or inactive user, and the possibility of participating in activities is lower. There is also a special situation, for example, a user has always been Certain IPs are fixed, but the user’s activity is very high, whether it’s clicking, sharing or subsequent purchases, then the user is an inactive fixed user, and special marks are also required. It may be an enterprise user, or a refresher. Users etc. If you want to accurately mark a user, you can further combine the user profile data of the user to draw a more accurate conclusion.
  • user A shares a message link with user B.
  • user B clicks the message link
  • user B’ s user tracking information will be reported.
  • the message link will also report the user tracking information of user C, user D, and user E.
  • the records of these association chains have fixed association relationships and cross association relationships (there may be multiple cross relationships, in fact, the cross relationship here) The more, the closer their relationship chain is), and the user relationship chain is constructed based on these relationships.
  • a message link is pushed to different user groups.
  • different users in different user groups click on the message link, they can obtain different user unique tags to mark different users.
  • the user's unique mark which is integrated and combined with other information, and the user's click is made dynamic through this unique mark, and a unique chain tracking relationship is established for subsequent clicks and analysis tracking.
  • Through the user tracking information corresponding to each message link who clicks the message link in the same WeChat group, and who can be identified in different user groups, and is used to establish a horizontal relationship chain and a vertical cross relationship chain.
  • the embodiment of the present invention can track the message links accessed, forwarded, and shared by each user, and even if the user is not logged in, it can analyze who to follow, at what time, and how many people opened the user’s link and proceeded.
  • the reachability value of a certain user is calculated through deep recursion, and then accurate push can be made for these users with high reachability value, thereby increasing the reach and conversion rate. It can be seen that the embodiment of the present invention can track the relationship chain between users and accurately analyze the user tracking data of each user without the user's perception, so that different push policies can be configured for different users.
  • step 101 may be: cyclically executing the program, timing the program, triggering the statistical execution program when the user browses for a certain number of times, or triggering the business activity time range periodically Preset statistical procedures and other methods.
  • the node user For any node user in the user relationship chain, if the node user's first platform identifier exists in the user tracking information, the node user is named after the first platform identifier, otherwise the node user is named after the second platform
  • the identifier names the node user. If there is no authorization relationship between the first platform and the second platform, it is impossible to know whether there is an association relationship between the first platform identifier and the second platform identifier. Therefore, the node user is first named after the first platform identifier. If based on the subsequent data collection, the association relationship between the user’s first platform identifier and the second platform identifier can be based on the association relationship between the node user’s first platform identifier and the second platform identifier. The first platform identifier names the node user, so as to associate the user portrait data of the node user from the first platform.
  • Step 102 Mark the user of each node according to the user tracking data and user portrait data of the user of each node in the user relationship chain.
  • the user portrait data or user group portrait data associated with the node user can be obtained from the database, and then combined with the user tracking data of the node user and the user portrait data or user Group profile data, etc., mark the node user. According to the marking result, a push strategy that matches the marking result is determined, and the push information is dynamically filled with the recommended page data, thereby increasing the conversion rate.
  • combining the user relationship chain and the profile data of the user group where the node user is located can also predict the preferences and preferences of potential users that may be shared, and promote further fission sharing and spreading to reach potential users.
  • the method further includes: determining the push of each node user according to the marking result of each node user Strategy; based on the user tracking information generated by the push strategy, update the user relationship chain and the user tracking data of each node user in the user relationship chain, thereby updating the mark of each node user.
  • new user tracking information will be generated, and user portrait data may also be updated. Therefore, the user relationship chain and the user tracking data of each node user in the user relationship chain can be updated based on the newly generated user tracking information, and then the node users can be updated based on the new user tracking data and updated user profile data. Mark.
  • it is also necessary to update the user relationship chain constructed in step 101 according to the new user tracking information such as adding node users, increasing the association relationship between node users, or deleting node users.
  • step 102 it is possible to count which users are deep relationship chain users, such as users with multiple relationship points, multiple open records, multiple purchase records, etc., which are users with only one contact, the way of contact Whether it is reached through active push, or through other people's content sharing, after multiple data analysis, if a user has been through the sharing of friends to obtain the touch, then you can mark different types of users. If the user has a complex reach relationship chain or transaction conversion record, you can mark which users are active users, which users are big V users, etc., and give priority or rewarding push in subsequent reach activities to promote the optimization of push effects.
  • users are deep relationship chain users, such as users with multiple relationship points, multiple open records, multiple purchase records, etc.
  • users can be counted as users with low access frequency or access probability or users who never access. You can mark such users as cold users based on business indicators. For cold users, you can Demand for personalized incentives or push less and not push meaningless reach, so as to improve reach or conversion in a targeted manner.
  • the present invention constructs a user relationship chain based on the user tracking information corresponding to each message link and obtains user tracking data of each node user, thereby marking each node user with the user portrait data
  • the technical means solve the technical problems of redundant push and invalid push in the prior art.
  • the embodiment of the present invention constructs a user relationship chain according to the user tracking information corresponding to each message link, and performs data analysis and marking on each node user in the user relationship chain, and matches an appropriate push strategy based on the marking result to avoid redundant push and invalidity Push to improve the reach and conversion rate in a targeted manner.
  • Fig. 2 is a schematic diagram of the main flow of a method for marking users according to a reference embodiment of the present invention. As shown in FIG. 2, as another embodiment of the present invention, the method for marking users may include:
  • Step 201 Obtain user tracking information corresponding to each message link.
  • the message link includes an original message link and a sharing message link generated after at least one fission of the original message link.
  • the server pushes the original message link to the user terminal through channels such as mobile phone text messages, various social software, large-screen delivery, or advertising.
  • the user makes the original message link fission through sharing, forwarding, etc. to generate at least one sharing message link, and other users can continue Visit the shared message link generated by the fission.
  • Step 202 Construct a user relationship chain according to the user tracking information corresponding to each message link, and obtain user tracking data of each node user in the user relationship chain.
  • a large amount of user tracking information can be collected through the user tracking information corresponding to each message link, and a large amount of user tracking information can be linked to build
  • the user relationship chain is obtained, and the user tracking data of each node user in the user relationship chain can also be analyzed and obtained.
  • the user tracking information includes channel identification, the user's first platform identification, user's location information, device information, access time, number of access times, access duration, and access trajectory.
  • the user tracking information includes channel identification, user's second platform identification, user's location information, device information, access time, access times, access duration, and access trajectory.
  • the user tracking information includes channel identification, user's first platform identification, user's second platform identification, user's location information, device information, access time, access times, access duration, and access trajectory.
  • the device information includes the IP address, model, brand, and device identification of the device.
  • the user tracking data includes the number of reposts, access probability, and conversion rate, and may also include the user's location information, access habits, consumption ability, and the like.
  • Step 203 For any node user in the user relationship chain, if the node user's first platform identifier exists in the user tracking information, the node user is named after the first platform identifier, otherwise The second platform identifier names the node user.
  • Step 204 Obtain user portrait data associated with the users of each node.
  • Step 205 Mark the user of each node according to the user tracking data and user portrait data of the user of each node in the user relationship chain.
  • the user portrait data or user group portrait data associated with the node user can be obtained from the database, and then combined with the user tracking data of the node user and the user portrait data or user Group profile data, etc., mark the node user.
  • Step 206 Determine the push strategy of each node user according to the marking result of each node user.
  • Step 207 Based on the user tracking information generated by the push strategy, update the user relationship chain and the user tracking data of each node user in the user relationship chain, thereby updating the tag of each node user.
  • the node user s association relationship between the first platform identifier and the second platform identifier should also be used to The first platform identifier names the node user.
  • FIG. 3 is a schematic diagram of the main modules of an apparatus for marking users according to an embodiment of the present invention.
  • the apparatus 300 for marking users includes a construction module 301 and a marking module 302.
  • the construction module 301 is configured to obtain user tracking information corresponding to each message link, construct a user relationship chain according to the user tracking information corresponding to each message link, and obtain user tracking data of each node user in the user relationship chain;
  • the marking module 302 is configured to mark the users of each node according to the user tracking data and user portrait data of the users of each node in the user relationship chain.
  • the message link includes an original message link and a sharing message link generated after at least one fission of the original message link.
  • the user tracking information includes channel identification, user's first platform identification, user's location information, device information, access time, access times, access duration, and access trajectory;
  • the device information includes the IP address, model, brand, and device identification of the device.
  • the user tracking information includes channel identification, user's second platform identification, user's location information, device information, access time, access times, access duration, and access trajectory;
  • the device information includes the IP address, model, brand, and device identification of the device.
  • the user tracking information includes channel identification, user's first platform identification, user's second platform identification, user's location information, device information, access time, access times, access duration, and access trajectory;
  • the device information includes the IP address, model, brand, and device identification of the device.
  • the construction module 301 is also used to:
  • the node user After constructing a user relationship chain based on the user tracking information corresponding to each message link, for any node user in the user relationship chain, if the node user’s first platform identifier exists in the user tracking information, it will be The first platform identifier names the node user, otherwise the node user is named after the second platform identifier.
  • the marking module 302 is further configured to:
  • the building module 301 is also used for:
  • the user relationship chain and the user tracking data of each node user in the user relationship chain are updated, thereby updating the mark of each node user.
  • the user tracking information further includes an association relationship between the user's first platform identifier and the second platform identifier;
  • the building module 301 is also used for:
  • the node user After naming the node user using the second platform identifier, the node user is named using the first platform identifier according to the association relationship between the first platform identifier and the second platform identifier of the node user.
  • the user tracking data includes the number of reposts, access probability, and conversion rate.
  • the present invention constructs a user relationship chain based on the user tracking information corresponding to each message link and obtains user tracking data of each node user, thereby marking each node user with the user portrait data
  • the technical means solve the technical problems of redundant push and invalid push in the prior art.
  • the embodiment of the present invention constructs a user relationship chain according to the user tracking information corresponding to each message link, and performs data analysis and marking on each node user in the user relationship chain, and matches an appropriate push strategy based on the marking result to avoid redundant push and invalidity Push to improve the reach and conversion rate in a targeted manner.
  • FIG. 4 shows an exemplary system architecture 400 of a method for marking a user or a device for marking a user to which an embodiment of the present invention can be applied.
  • the system architecture 400 may include terminal devices 401, 402, 403, a network 404, and a server 405.
  • the network 404 is used to provide a medium for communication links between the terminal devices 401, 402, 403 and the server 405.
  • the network 404 may include various connection types, such as wired, wireless communication links, or fiber optic cables, and so on.
  • the user can use the terminal devices 401, 402, and 403 to interact with the server 405 via the network 404 to receive or send messages and so on.
  • Various communication client applications may be installed on the terminal devices 401, 402, and 403, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only examples).
  • the terminal devices 401, 402, and 403 may be various electronic devices that have a display screen and support web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and so on.
  • the server 405 may be a server that provides various services, for example, a back-end management server (just an example) that provides support for shopping websites browsed by users using the terminal devices 401, 402, and 403.
  • the background management server can analyze and process the received item information query request and other data, and feed back the processing results (such as target push information, item information-only examples) to the terminal device.
  • the method for marking users provided by the embodiment of the present invention is generally executed by the server 405, and accordingly, the device for marking users is generally set in the server 405.
  • the method for marking users provided in the embodiments of the present invention may also be executed by terminal devices 401, 402, and 403. Accordingly, the device for marking users may be set in terminal devices 401, 402, and 403.
  • terminal devices, networks, and servers in FIG. 4 are merely illustrative. According to implementation needs, there can be any number of terminal devices, networks, and servers.
  • FIG. 5 shows a schematic structural diagram of a computer system 500 suitable for implementing a terminal device of an embodiment of the present invention.
  • the terminal device shown in FIG. 5 is only an example, and should not bring any limitation to the function and scope of use of the embodiment of the present invention.
  • the computer system 500 includes a central processing unit (CPU) 501, which can be based on a program stored in a read-only memory (ROM) 502 or a program loaded from a storage portion 508 into a random access memory (RAM) 503 And perform various appropriate actions and processing.
  • ROM read-only memory
  • RAM random access memory
  • various programs and data required for the operation of the system 500 are also stored.
  • the CPU 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504.
  • An input/output (I/O) interface 505 is also connected to the bus 504.
  • the following components are connected to the I/O interface 505: an input part 506 including a keyboard, a mouse, etc.; an output part 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and speakers, etc.; a storage part 508 including a hard disk, etc. ; And a communication section 509 including a network interface card such as a LAN card, a modem, and the like. The communication section 509 performs communication processing via a network such as the Internet.
  • the driver 510 is also connected to the I/O interface 505 as needed.
  • a removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as required, so that the computer program read therefrom is installed into the storage portion 508 as required.
  • the process described above with reference to the flowchart can be implemented as a computer software program.
  • the disclosed embodiments of the present invention include a computer program, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart.
  • the computer program can be downloaded and installed from the network through the communication section 509.
  • the computer program can also be installed from the removable medium 511 through the communication section 509.
  • the computer program can also be downloaded and installed from the network through the communication section 509, and installed from the removable medium 511.
  • the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two.
  • the computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or a combination of any of the above. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable removable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • the computer-readable storage medium may be any tangible medium that contains or stores a program, and the program may be used by or in combination with an instruction execution system, apparatus, or device.
  • a computer-readable signal medium may include a data signal propagated in a baseband or as a part of a carrier wave, and a computer-readable program code is carried therein. This propagated data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the computer-readable signal medium may also be any computer-readable medium other than the computer-readable storage medium.
  • the computer-readable medium may send, propagate, or transmit the program for use by or in combination with the instruction execution system, apparatus, or device .
  • the program code contained on the computer-readable medium can be transmitted by any suitable medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.
  • each block in the flowchart or block diagram may represent a module, program segment, or part of the code, and the above-mentioned module, program segment, or part of the code contains one or more for realizing the specified logic function.
  • Executable instructions may also occur in a different order from the order marked in the drawings. For example, two blocks shown in succession can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved.
  • each block in the block diagram or flowchart, and the combination of blocks in the block diagram or flowchart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by It is realized by a combination of dedicated hardware and computer instructions.
  • the modules involved in the embodiments described in the present invention can be implemented in software or hardware.
  • the described modules may also be provided in the processor.
  • a processor includes a building module and a marking module, wherein the names of these modules do not constitute a limitation on the module itself under certain circumstances.
  • the present invention also provides a computer-readable medium.
  • the computer-readable medium may be included in the device described in the above embodiment; or it may exist alone without being assembled into the device.
  • the above-mentioned computer-readable medium carries one or more programs.
  • the device includes: acquiring user tracking information corresponding to each message link, and according to the corresponding information of each message link
  • User tracking information constructs a user relationship chain, and obtains the user tracking data of each node user in the user relationship chain; according to the user tracking data and user portrait data of each node user in the user relationship chain, perform the user tracking on each node user mark.
  • the technical solution of the embodiment of the present invention because the user relationship chain is constructed according to the user tracking information corresponding to each message link and the user tracking data of each node user is obtained, the technical means of marking the user of each node combined with the user portrait data is adopted, so It overcomes the technical problems of redundant push and invalid push in the prior art.
  • the embodiment of the present invention constructs a user relationship chain according to the user tracking information corresponding to each message link, and performs data analysis and marking on each node user in the user relationship chain, and matches an appropriate push strategy based on the marking result to avoid redundant push and invalidity Push to improve the reach and conversion rate in a targeted manner.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Strategic Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Engineering & Computer Science (AREA)
  • Game Theory and Decision Science (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

一种标记用户的方法和装置，涉及计算机技术领域。该方法包括：获取各个消息链接对应的用户跟踪信息，根据所述各个消息链接对应的用户跟踪信息构建用户关系链，并得到所述用户关系链中各个节点用户的用户跟踪数据（S101）；根据所述用户关系链中各个节点用户的用户跟踪数据，对所述各个节点用户进行标记（S102）。该方法能够解决冗余推送和无效推送的技术问题。

Description

一种标记用户的方法和装置
本申请要求2019年11月11日提交的中国专利申请号201911097091.4的优先权，其全部内容通过引用并入本文。
技术领域
本发明涉及计算机技术领域，尤其涉及一种标记用户的方法和装置。
背景技术
现代营销或运营一般是结合运营营销经验、社会热点、广告触达、大数据分析等综合方案，有选择性地进行运营或营销，比如网络推广、大数据识别人群、消费能力、历史消费记录等方式综合分析，从而针对各个用户群体进行消息推送。
在实现本发明过程中，发明人发现现有技术中至少存在如下问题：
根据经验或数据分析等对各个用户群体进行标记，并没有精准到单个用户，导致冗余推送和无效推送的问题。
发明内容
有鉴于此，本发明实施例提供一种标记用户的方法和装置，以解决冗余推送和无效推送的技术问题。
为实现上述目的，根据本发明实施例的一个方面，提供了一种标记用户的方法，包括：获取各个消息链接对应的用户跟踪信息，根据所述各个消息链接对应的用户跟踪信息构建用户关系链，并得到所述用户关系链中各个节点用户的用户跟踪数据；以及根据所述用户关系链中各个节点用户的用户跟踪数据和用户画像数据，对所述各个节点用户进行标记。
可选地，所述消息链接包括原始消息链接和所述原始消息链接经过至少一次裂变产生的分享消息链接。
可选地，所述用户跟踪信息包括渠道标识、用户的第一平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹；以及其中，所述设备信息包括所述设备的IP地址、型号、品牌和设备标识。
可选地，所述用户跟踪信息包括渠道标识、用户的第二平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹；以及其中，所述设备信息包括所述设备的IP地址、型号、品牌和设备标识。
可选地，所述用户跟踪信息包括渠道标识、用户的第一平台标识、用户的第二平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹；以及其中，所述设备信息包括所述设备的IP地址、型号、品牌和设备标识。
可选地，根据所述各个消息链接对应的用户跟踪信息构建用户关系链之后，还包括：对于所述用户关系链中的任意一个节点用户，若所述用户跟踪信息中存在所述节点用户的第一平台标识，则以第一平台标识对所述节点用户进行命名，否则以第二平台标识对所述节点用户进行命名。
可选地，根据所述用户关系链中各个节点用户的用户跟踪数据和用户画像数据，对所述各个节点用户进行标记之后，还包括：根据所述各个节点用户的标记结果，确定所述各个节点用户的推送策略；以及基于所述推送策略产生的用户跟踪信息，更新所述用户关系链以及所述用户关系链中各个节点用户的用户跟踪数据，从而更新所述各个 节点用户的标记。
可选地，所述用户跟踪信息还包括用户的第一平台标识与第二平台标识之间的关联关系；以第二平台标识对所述节点用户进行命名之后，还包括：根据所述节点用户的第一平台标识与第二平台标识之间的关联关系，以所述第一平台标识对所述节点用户进行命名。
可选地，所述用户跟踪数据包括转发次数、访问概率和转化率。
另外，根据本发明实施例的另一个方面，提供了一种标记用户的装置，包括：构建模块，用于获取各个消息链接对应的用户跟踪信息，根据所述各个消息链接对应的用户跟踪信息构建用户关系链，并得到所述用户关系链中各个节点用户的用户跟踪数据；以及标记模块，用于根据所述用户关系链中各个节点用户的用户跟踪数据和用户画像数据，对所述各个节点用户进行标记。
根据本发明实施例的另一个方面，还提供了一种电子设备，包括：一个或多个处理器；存储装置，用于存储一个或多个程序，当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现上述任一实施例所述的方法。
根据本发明实施例的另一个方面，还提供了一种计算机可读介质，其上存储有计算机程序，所述程序被处理器执行时实现上述任一实施例所述的方法。
上述发明中的一个实施例具有如下优点或有益效果：因为采用根据各个消息链接对应的用户跟踪信息构建用户关系链并得到各个节点用户的用户跟踪数据，从而结合用户画像数据对各个节点用户进行标记的技术手段，所以克服了现有技术中冗余推送和无效推送的技术问题。本发明实施例根据各个消息链接对应的用户跟踪信息构建用户关 系链，并对用户关系链中的各个节点用户进行数据分析和标记，基于标记结果来匹配合适的推送策略，避免冗余推送和无效推送，从而有针对性地提高触达率和转化率。
上述的非惯用的可选方式所具有的进一步效果将在下文中结合具体实施方式加以说明。
附图说明
附图用于更好地理解本发明，不构成对本发明的不当限定。其中：
图1是根据本发明实施例的标记用户的方法的主要流程的示意图；
图2是根据本发明一个可参考实施例的标记用户的方法的主要流程的示意图；
图3是根据本发明实施例的标记用户的装置的主要模块的示意图；
图4是本发明实施例可以应用于其中的示例性系统架构图；
图5是适于用来实现本发明实施例的终端设备或服务器的计算机系统的结构示意图。
具体实施方式
以下结合附图对本发明的示范性实施例做出说明，其中包括本发明实施例的各种细节以助于理解，应当将它们认为仅仅是示范性的。因此，本领域普通技术人员应当认识到，可以对这里描述的实施例做出各种改变和修改，而不会背离本发明的范围和精神。同样，为了清楚和简明，以下的描述中省略了对公知功能和结构的描述。
图1是根据本发明实施例的标记用户的方法的主要流程的示意图。作为本发明的一个实施例。如图1所示，所述标记用户的方法可以包括：
步骤101，获取各个消息链接对应的用户跟踪信息，根据所述各个消息链接对应的用户跟踪信息构建用户关系链，并得到所述用户关系链中各个节点用户的用户跟踪数据。
为了构建用户关系链，需要获取各个消息链接对应的用户跟踪信息。其中，所述消息链接包括原始消息链接和所述原始消息链接经过至少一次裂变产生的分享消息链接。服务端通过手机短信、各种社交软件、大屏投放或者广告投放等渠道向用户终端推送原始消息链接，用户通过分享、转发等方式使原始消息链接裂变产生至少一条分享消息链接，其他用户可以继续访问裂变产生的分享消息链接。
对于手机短信，每个短信收到的文字内容一样，但是里面的链接信息不一样，针对某用户进行了动态化和个性化的处理，何人在何时何地点击了几次这个链接，以及这个链接后续的浏览和购买等行为都可以依据此消息链接进行追踪。
对于社交软件，服务端推送到群的信息是一样的，但是当群内的用户点击时会对这个消息链接进行动态化处理，加入或上报当前点击这个消息链接的用户的信息(类似cookie、微信唯一标记、设备唯一编号、品牌、型号等)，结合加入或上报的这些信息对消息链接进行整合，可以唯一识别出当前用户，并对该用户之后的行为进行跟踪。
对于静态大屏比如地铁广告二维码、电梯电视广告等，用户进行扫码访问链接时，由于不像在社交软件可以获取社交软件分配的唯一标记或用户信息，这个时候可以根据当前大屏的位置、用户设备的IP地址、设备型号等信息对用户进行跟踪，以便后续进行行为跟踪与分析。由于这些用户的信息不够全面并不能完全的识别当前用户，可以在后续用户登录或者能获取到准确的用户标记时候进行关联或替换。
在用户点击、点击后购买或者转发后进行分享裂变跟踪，从而得到用户跟踪信息，通过各个消息链接对应的用户跟踪信息可以收集到大量的用户跟踪信息，对大量的用户跟踪信息进行关联就可以构建得到用户关系链，同时也可以分析得到所述用户关系链中各个节点用户 的用户跟踪数据。
可选地，所述用户跟踪信息包括渠道标识、用户的第一平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹。可选地，所述用户跟踪信息包括渠道标识、用户的第二平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹。可选地，所述用户跟踪信息包括渠道标识、用户的第一平台标识、用户的第二平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹。其中，所述设备信息包括所述设备的IP地址、型号、品牌和设备标识。可选地，所述用户跟踪数据包括转发次数、访问概率和转化率，还可以包括用户的位置信息、访问习惯、消费能力等。
如果用户处于未登录态，通过获取用户设备的IP地址可以了解用户的轨迹，同一个地方IP相同。如果用户到不同的地方，不管是用WIFI还是用4G连接，设备的IP会不同，因此可以基于IP地址准确地分析出用户所处的位置和轨迹等信息。比如某用户一直是一个或者固定的少数几个IP地址，那么该用户可能是非正常或者非活跃用户，那么参与活动活跃的可能性就更低，也有一种比较特殊的情况，比如某用户一直是固定的某些IP，但是该用户的活跃度很高，不管是点击、分享还是后续的购买行为，那么该用户是一种非活跃的固定用户，也需要特殊标记，可能是企业用户、刷手用户等。如果要准确标记用户，可以进一步结合该用户的用户画像数据得出更加准确的结论。
举例来说，用户A分享消息链接给用户B，用户B点击该消息链接时会上报用户B的用户跟踪信息，如果用户B分享该消息链接到群里，用户C、用户D和用户E如果点击该消息链接，也会上报用户C、用户D和用户E的用户跟踪信息，这些关联链的记录有固定的关联关系，也有交叉的关联关系(还可能有多条交叉关系，其实这里的交叉关系越多，则表明他们的关系链越紧密)，从而基于这些关联关系构 建用户关系链。
而且一个消息链接推送到不同的用户群，在不同用户群中的不同用户点击该消息链接时，可以获取到不同的用户唯一标记来标记不同用户，有应用程序提供的唯一标记，也有设备、网络等其他信息综合组合在一起标记的用户唯一标记，通过这个唯一标记和用户点击进行动态化，为后续的点击和分析跟踪建立起唯一链式跟踪关系。通过各个消息链接对应的用户跟踪信息，有哪些人在同一个微信群中点击消息链接，有哪些人在不同的用户群中都可以识别出来，用于建立水平关系链和垂直交叉关系链。
本发明实施例可以针对各个用户访问、转发、分享过的消息链接进行跟踪，即使在用户无登录的情况下也可以分析出跟踪谁，在什么时间，有多少人打开了这个用户的链接并进行了浏览、购买或分享等操作，通过深度递归计算出某个用户的触达能力值，然后可以针对这些触达能力值高的用户进行精准推送，从而提高触达率和转化率。可见，本发明实施例可以在用户无感知的情况下追踪出各个用户之间的关系链以及准确地分析出各个用户的用户跟踪数据，从而能够为不同用户配置不同的推送策略。
可选地，在获取或收集到用户上报的跟踪信息后，步骤101的实现方式可以是：循环执行程序、定时执行程序、用户浏览达到一定次数时触发统计执行程序或者业务活动时间范围周期进行触发预设的统计程序等方式。
对于所述用户关系链中的任意一个节点用户，若所述用户跟踪信息中存在所述节点用户的第一平台标识，则以第一平台标识对所述节点用户进行命名，否则以第二平台标识对所述节点用户进行命名。如果第一平台与第二平台之间没有授权关系，那么无法获知第一平台标识与第二平台标识之间是否存在关联关系，因此优先以第一平台标识 对所述节点用户进行命名。如果基于后续的数据采集，用户的第一平台标识与第二平台标识之间的关联关系，则可以根据所述节点用户的第一平台标识与第二平台标识之间的关联关系，以所述第一平台标识对所述节点用户进行命名，以便于从第一平台中关联出所述节点用户的用户画像数据。
步骤102，根据所述用户关系链中各个节点用户的用户跟踪数据和用户画像数据，对所述各个节点用户进行标记。
对于所述用户关系链中的任意一个节点用户，可以从数据库中获取到与该节点用户关联的用户画像数据或者用户群画像数据等，然后结合该节点用户的用户跟踪数据以及用户画像数据或者用户群画像数据等，对该节点用户进行标记。根据标记结果，确定与标记结果匹配的推送策略，将推送信息动态填充推荐页数据，从而提高转化率。另外，结合用户关系链以及节点用户所在的用户群的画像数据也可以预测可能分享的潜在用户的喜好和偏好，提升触达潜在用户的进一步裂变分享传播。
可选地，根据所述用户关系链中各个节点用户的用户跟踪数据，对所述各个节点用户进行标记之后，还包括：根据所述各个节点用户的标记结果，确定所述各个节点用户的推送策略；基于所述推送策略产生的用户跟踪信息，更新所述用户关系链以及所述用户关系链中各个节点用户的用户跟踪数据，从而更新所述各个节点用户的标记。根据推送策略向节点用户推送信息后，又会产生新的用户跟踪信息，也可能会更新用户画像数据。因此可以基于新产生的用户跟踪信息更新所述用户关系链以及所述用户关系链中各个节点用户的用户跟踪数据，然后根据新的用户跟踪数据和更新后的用户画像数据更新所述各个节点用户的标记。同时还需要根据新的用户跟踪信息对步骤101中构建的用户关系链进行更新，比如增加节点用户、增加节点用户之间的关联关系或者删除节点用户等。
另外，如果新的用户跟踪信息中还有用户的第一平台标识与第二平台标识之间的关联关系，则根据所述节点用户的第一平台标识与第二平台标识之间的关联关系，以所述第一平台标识对所述节点用户进行命名。
比如，通过步骤102可以统计出哪些用户是深度关系链用户，比如有多个关系点的用户、多次打开的记录、多次购买的记录等，哪些是只有一次触达用户，触达的方式是主动推送方式触达，还是通过其他人分享内容的触达，在经过多次的数据分析后，如果一个用户一直是通过好友的分享来获取到的触达，那么可标记不同类型的用户。如果用户有复杂触达关系链或者成交转化记录，那么可以标记出哪些用户是活跃用户、哪些用户是大V用户等，在后续触达活动中优先或者奖励性质的推送，以促进优化推送效果。
又比如，经过多次的触达，可以统计出哪些是访问频率或者访问概率较少的用户或者是从不访问的用户，可以根据业务指标标记这类用户为冷用户，针对冷用户可以根据业务需求进行个性化激励或者少推送不推送无意义的触达，从而有针对性地提升触达或转化。
根据上面所述的各种实施例，可以看出本发明通过根据各个消息链接对应的用户跟踪信息构建用户关系链并得到各个节点用户的用户跟踪数据，从而结合用户画像数据对各个节点用户进行标记的技术手段，解决了现有技术中冗余推送和无效推送的技术问题。本发明实施例根据各个消息链接对应的用户跟踪信息构建用户关系链，并对用户关系链中的各个节点用户进行数据分析和标记，基于标记结果来匹配合适的推送策略，避免冗余推送和无效推送，从而有针对性地提高触达率和转化率。
图2是根据本发明一个可参考实施例的标记用户的方法的主要流 程的示意图。如图2所示，作为本发明的另一个实施例，所述标记用户的方法可以包括：
步骤201，获取各个消息链接对应的用户跟踪信息。
为了构建用户关系链，需要获取各个消息链接对应的用户跟踪信息。其中，所述消息链接包括原始消息链接和所述原始消息链接经过至少一次裂变产生的分享消息链接。服务端通过手机短信、各种社交软件、大屏投放或者广告投放等渠道向用户终端推送原始消息链接，用户通过分享、转发等方式使原始消息链接裂变产生至少一条分享消息链接，其他用户可以继续访问裂变产生的分享消息链接。
步骤202，根据所述各个消息链接对应的用户跟踪信息构建用户关系链，并得到所述用户关系链中各个节点用户的用户跟踪数据。
在用户点击、点击后购买或者转发后进行分享裂变跟踪，从而得到用户跟踪信息，通过各个消息链接对应的用户跟踪信息可以收集到大量的用户跟踪信息，对大量的用户跟踪信息进行关联就可以构建得到用户关系链，同时也可以分析得到所述用户关系链中各个节点用户的用户跟踪数据。
可选地，所述用户跟踪信息包括渠道标识、用户的第一平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹。可选地，所述用户跟踪信息包括渠道标识、用户的第二平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹。可选地，所述用户跟踪信息包括渠道标识、用户的第一平台标识、用户的第二平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹。
其中，所述设备信息包括所述设备的IP地址、型号、品牌和设备标识。可选地，所述用户跟踪数据包括转发次数、访问概率和转化率， 还可以包括用户的位置信息、访问习惯、消费能力等。
步骤203，对于所述用户关系链中的任意一个节点用户，若所述用户跟踪信息中存在所述节点用户的第一平台标识，则以第一平台标识对所述节点用户进行命名，否则以第二平台标识对所述节点用户进行命名。
步骤204，获取与所述各个节点用户关联的用户画像数据。
步骤205，根据所述用户关系链中各个节点用户的用户跟踪数据和用户画像数据，对所述各个节点用户进行标记。
对于所述用户关系链中的任意一个节点用户，可以从数据库中获取到与该节点用户关联的用户画像数据或者用户群画像数据等，然后结合该节点用户的用户跟踪数据以及用户画像数据或者用户群画像数据等，对该节点用户进行标记。
步骤206，根据所述各个节点用户的标记结果，确定所述各个节点用户的推送策略。
步骤207，基于所述推送策略产生的用户跟踪信息，更新所述用户关系链以及所述用户关系链中各个节点用户的用户跟踪数据，从而更新所述各个节点用户的标记。
如果所述用户跟踪信息还包括用户的第一平台标识与第二平台标识之间的关联关系，则还要根据所述节点用户的第一平台标识与第二平台标识之间的关联关系，以所述第一平台标识对所述节点用户进行命名。
另外，在本发明一个可参考实施例中标记用户的方法的具体实施 内容，在上面所述标记用户的方法中已经详细说明了，故在此重复内容不再说明。
图3是根据本发明实施例的标记用户的装置的主要模块的示意图，如图3所示，所述标记用户的装置300包括构建模块301和标记模块302。其中，构建模块301，用于获取各个消息链接对应的用户跟踪信息，根据所述各个消息链接对应的用户跟踪信息构建用户关系链，并得到所述用户关系链中各个节点用户的用户跟踪数据；标记模块302，用于根据所述用户关系链中各个节点用户的用户跟踪数据和用户画像数据，对所述各个节点用户进行标记。
可选地，所述消息链接包括原始消息链接和所述原始消息链接经过至少一次裂变产生的分享消息链接。
可选地，所述用户跟踪信息包括渠道标识、用户的第一平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹；
其中，所述设备信息包括所述设备的IP地址、型号、品牌和设备标识。
可选地，所述用户跟踪信息包括渠道标识、用户的第二平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹；
其中，所述设备信息包括所述设备的IP地址、型号、品牌和设备标识。
可选地，所述用户跟踪信息包括渠道标识、用户的第一平台标识、用户的第二平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹；
其中，所述设备信息包括所述设备的IP地址、型号、品牌和设备 标识。
可选地，所述构建模块301还用于：
根据所述各个消息链接对应的用户跟踪信息构建用户关系链之后，对于所述用户关系链中的任意一个节点用户，若所述用户跟踪信息中存在所述节点用户的第一平台标识，则以第一平台标识对所述节点用户进行命名，否则以第二平台标识对所述节点用户进行命名。
可选地，所述标记模块302还用于：
根据所述用户关系链中各个节点用户的用户跟踪数据和用户画像数据，对所述各个节点用户进行标记之后，根据所述各个节点用户的标记结果，确定所述各个节点用户的推送策略；
所述构建模块301还用于：
基于所述推送策略产生的用户跟踪信息，更新所述用户关系链以及所述用户关系链中各个节点用户的用户跟踪数据，从而更新所述各个节点用户的标记。
可选地，所述用户跟踪信息还包括用户的第一平台标识与第二平台标识之间的关联关系；
所述构建模块301还用于：
以第二平台标识对所述节点用户进行命名之后，根据所述节点用户的第一平台标识与第二平台标识之间的关联关系，以所述第一平台标识对所述节点用户进行命名。
可选地，所述用户跟踪数据包括转发次数、访问概率和转化率。
根据上面所述的各种实施例，可以看出本发明通过根据各个消息链接对应的用户跟踪信息构建用户关系链并得到各个节点用户的用户跟踪数据，从而结合用户画像数据对各个节点用户进行标记的技术手段，解决了现有技术中冗余推送和无效推送的技术问题。本发明实施 例根据各个消息链接对应的用户跟踪信息构建用户关系链，并对用户关系链中的各个节点用户进行数据分析和标记，基于标记结果来匹配合适的推送策略，避免冗余推送和无效推送，从而有针对性地提高触达率和转化率。
需要说明的是，在本发明所述标记用户的装置的具体实施内容，在上面所述标记用户的方法中已经详细说明了，故在此重复内容不再说明。
图4示出了可以应用本发明实施例的标记用户的方法或标记用户的装置的示例性系统架构400。
如图4所示，系统架构400可以包括终端设备401、402、403，网络404和服务器405。网络404用以在终端设备401、402、403和服务器405之间提供通信链路的介质。网络404可以包括各种连接类型，例如有线、无线通信链路或者光纤电缆等等。
用户可以使用终端设备401、402、403通过网络404与服务器405交互，以接收或发送消息等。终端设备401、402、403上可以安装有各种通讯客户端应用，例如购物类应用、网页浏览器应用、搜索类应用、即时通信工具、邮箱客户端、社交平台软件等(仅为示例)。
终端设备401、402、403可以是具有显示屏并且支持网页浏览的各种电子设备，包括但不限于智能手机、平板电脑、膝上型便携计算机和台式计算机等等。
服务器405可以是提供各种服务的服务器，例如对用户利用终端设备401、402、403所浏览的购物类网站提供支持的后台管理服务器(仅为示例)。后台管理服务器可以对接收到的物品信息查询请求等数据进行分析等处理，并将处理结果(例如目标推送信息、物品信息 ——仅为示例)反馈给终端设备。
需要说明的是，本发明实施例所提供的标记用户的方法一般由服务器405执行，相应地，所述标记用户的装置一般设置在服务器405中。本发明实施例所提供的标记用户的方法也可以由终端设备401、402、403执行，相应地，所述标记用户的装置可以设置在终端设备401、402、403中。
应该理解，图4中的终端设备、网络和服务器的数目仅仅是示意性的。根据实现需要，可以具有任意数目的终端设备、网络和服务器。
下面参考图5，其示出了适于用来实现本发明实施例的终端设备的计算机系统500的结构示意图。图5示出的终端设备仅仅是一个示例，不应对本发明实施例的功能和使用范围带来任何限制。
如图5所示，计算机系统500包括中央处理单元(CPU)501，其可以根据存储在只读存储器(ROM)502中的程序或者从存储部分508加载到随机访问存储器(RAM)503中的程序而执行各种适当的动作和处理。在RAM 503中，还存储有系统500操作所需的各种程序和数据。CPU 501、ROM 502以及RAM503通过总线504彼此相连。输入/输出(I/O)接口505也连接至总线504。
以下部件连接至I/O接口505：包括键盘、鼠标等的输入部分506；包括诸如阴极射线管(CRT)、液晶显示器(LCD)等以及扬声器等的输出部分507；包括硬盘等的存储部分508；以及包括诸如LAN卡、调制解调器等的网络接口卡的通信部分509。通信部分509经由诸如因特网的网络执行通信处理。驱动器510也根据需要连接至I/O接口505。可拆卸介质511，诸如磁盘、光盘、磁光盘、半导体存储器等等，根据需要安装在驱动器510上，以便于从其上读出的计算机程序根据需要被安装入存储部分508。
特别地，根据本发明公开的实施例，上文参考流程图描述的过程可以被实现为计算机软件程序。例如，本发明公开的实施例包括一种计算机程序，其包括承载在计算机可读介质上的计算机程序，该计算机程序包含用于执行流程图所示的方法的程序代码。在这样的实施例中，该计算机程序可以通过通信部分509从网络上被下载和安装。在这样的实施例中，该计算机程序也可以通过通信部分509从可拆卸介质511被安装。在这样的实施例中，该计算机程序还可以通过通信部分509从网络上被下载和安装，以及，从可拆卸介质511被安装。在该计算机程序被中央处理单元(CPU)501执行时，执行本发明的系统中限定的上述功能。
需要说明的是，本发明所示的计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质或者是上述两者的任意组合。计算机可读存储介质例如可以是——但不限于——电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。计算机可读存储介质的更具体的例子可以包括但不限于：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机访问存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本发明中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。而在本发明中，计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算机可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限 于：无线、电线、光缆、RF等等，或者上述的任意合适的组合。
附图中的流程图和框图，图示了按照本发明各种实施例的系统、方法和计算机程序的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段、或代码的一部分，上述模块、程序段、或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。也应当注意，在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个接连地表示的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图或流程图中的每个方框、以及框图或流程图中的方框的组合，可以用执行规定的功能或操作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
描述于本发明实施例中所涉及到的模块可以通过软件的方式实现，也可以通过硬件的方式来实现。所描述的模块也可以设置在处理器中，例如，可以描述为：一种处理器包括构建模块和标记模块，其中，这些模块的名称在某种情况下并不构成对该模块本身的限定。
作为另一方面，本发明还提供了一种计算机可读介质，该计算机可读介质可以是上述实施例中描述的设备中所包含的；也可以是单独存在，而未装配入该设备中。上述计算机可读介质承载有一个或者多个程序，当上述一个或者多个程序被一个该设备执行时，使得该设备包括：获取各个消息链接对应的用户跟踪信息，根据所述各个消息链接对应的用户跟踪信息构建用户关系链，并得到所述用户关系链中各个节点用户的用户跟踪数据；根据所述用户关系链中各个节点用户的用户跟踪数据和用户画像数据，对所述各个节点用户进行标记。
根据本发明实施例的技术方案，因为采用根据各个消息链接对应的用户跟踪信息构建用户关系链并得到各个节点用户的用户跟踪数据， 从而结合用户画像数据对各个节点用户进行标记的技术手段，所以克服了现有技术中冗余推送和无效推送的技术问题。本发明实施例根据各个消息链接对应的用户跟踪信息构建用户关系链，并对用户关系链中的各个节点用户进行数据分析和标记，基于标记结果来匹配合适的推送策略，避免冗余推送和无效推送，从而有针对性地提高触达率和转化率。
上述具体实施方式，并不构成对本发明保护范围的限制。本领域技术人员应该明白的是，取决于设计要求和其他因素，可以发生各种各样的修改、组合、子组合和替代。任何在本发明的精神和原则之内所作的修改、等同替换和改进等，均应包含在本发明保护范围之内。

Claims (12)

  1. 一种标记用户的方法，包括：
    获取各个消息链接对应的用户跟踪信息，根据所述各个消息链接对应的用户跟踪信息构建用户关系链，并得到所述用户关系链中各个节点用户的用户跟踪数据；以及
    根据所述用户关系链中各个节点用户的用户跟踪数据和用户画像数据，对所述各个节点用户进行标记。
  2. 根据权利要求1所述的方法，其中，所述消息链接包括原始消息链接和所述原始消息链接经过至少一次裂变产生的分享消息链接。
  3. 根据权利要求1所述的方法，其中，所述用户跟踪信息包括渠道标识、用户的第一平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹；
    其中，所述设备信息包括所述设备的IP地址、型号、品牌和设备标识。
  4. 根据权利要求1所述的方法，其中，所述用户跟踪信息包括渠道标识、用户的第二平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹；
    其中，所述设备信息包括所述设备的IP地址、型号、品牌和设备标识。
  5. 根据权利要求1所述的方法，其中，所述用户跟踪信息包括渠道标识、用户的第一平台标识、用户的第二平台标识、用户的位置信息、设备信息、访问时间、访问次数、访问时长和访问轨迹；
    其中，所述设备信息包括所述设备的IP地址、型号、品牌和设备标识。
  6. 根据权利要求3-5中任一所述的方法，其中，根据所述各个消息链接对应的用户跟踪信息构建用户关系链之后，还包括：
    对于所述用户关系链中的任意一个节点用户，若所述用户跟踪信息中存在所述节点用户的第一平台标识，则以第一平台标识对所述节点用户进行命名，否则以第二平台标识对所述节点用户进行命名。
  7. 根据权利要求6所述的方法，其中，根据所述用户关系链中各个节点用户的用户跟踪数据和用户画像数据，对所述各个节点用户进行标记之后，还包括：
    根据所述各个节点用户的标记结果，确定所述各个节点用户的推送策略；以及
    基于所述推送策略产生的用户跟踪信息，更新所述用户关系链以及所述用户关系链中各个节点用户的用户跟踪数据，从而更新所述各个节点用户的标记。
  8. 根据权利要求7所述的方法，其中，所述用户跟踪信息还包括用户的第一平台标识与第二平台标识之间的关联关系；
    以第二平台标识对所述节点用户进行命名之后，还包括：
    根据所述节点用户的第一平台标识与第二平台标识之间的关联关系，以所述第一平台标识对所述节点用户进行命名。
  9. 根据权利要求1所述的方法，其中，所述用户跟踪数据包括转发次数、访问概率和转化率。
  10. 一种标记用户的装置，包括：
    构建模块，用于获取各个消息链接对应的用户跟踪信息，根据所述各个消息链接对应的用户跟踪信息构建用户关系链，并得到所述用户关系链中各个节点用户的用户跟踪数据；以及
    标记模块，用于根据所述用户关系链中各个节点用户的用户跟踪数据和用户画像数据，对所述各个节点用户进行标记。
  11. 一种电子设备，包括：
    一个或多个处理器；
    存储装置，用于存储一个或多个程序，
    当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现如权利要求1-9中任一所述的方法。
  12. 一种计算机可读介质，其上存储有计算机程序，所述程序被处理器执行时实现如权利要求1-9中任一所述的方法。
PCT/CN2020/112797 2019-11-11 2020-09-01 一种标记用户的方法和装置 WO2021093423A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201911097091.4 2019-11-11
CN201911097091.4A CN112784152A (zh) 2019-11-11 2019-11-11 一种标记用户的方法和装置

Publications (1)

Publication Number Publication Date
WO2021093423A1 true WO2021093423A1 (zh) 2021-05-20

Family

ID=75749846

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2020/112797 WO2021093423A1 (zh) 2019-11-11 2020-09-01 一种标记用户的方法和装置

Country Status (2)

Country Link
CN (1) CN112784152A (zh)
WO (1) WO2021093423A1 (zh)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113221009A (zh) * 2021-05-26 2021-08-06 东莞市盟大塑化科技有限公司 一种邀请码生成方法、装置、设备及存储介质
CN113900907A (zh) * 2021-11-17 2022-01-07 杭州推啊网络科技有限公司 一种映射构建方法和系统
CN114745421A (zh) * 2022-03-30 2022-07-12 北京奇艺世纪科技有限公司 裂变路径数据的记录方法、装置、服务器及存储介质
CN117196662A (zh) * 2023-03-22 2023-12-08 山东浪潮爱购云链信息科技有限公司 一种基于电商平台的用户行为采集方法、设备及介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108920527A (zh) * 2018-06-07 2018-11-30 桂林电子科技大学 一种基于知识图谱的个性化推荐方法
CN109241427A (zh) * 2018-09-04 2019-01-18 中国平安人寿保险股份有限公司 信息推送方法、装置、计算机设备和存储介质
CN109242633A (zh) * 2018-09-20 2019-01-18 阿里巴巴集团控股有限公司 一种基于二部图网络的商品推送方法和装置
CN110413896A (zh) * 2019-06-06 2019-11-05 腾讯科技（北京）有限公司 网络信息推送方法、装置、计算机设备及存储介质

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2427682A1 (en) * 2000-11-03 2002-06-06 Galileo International, Inc. Method and apparatus for tracking consumer selections over a computer network
US9697528B2 (en) * 2012-06-25 2017-07-04 International Business Machines Corporation Tracking interactions with forwarded links by evaluating similarity of forwarded links and evaluating a chain of forwarding
CN104809225B (zh) * 2015-05-06 2018-11-20 泰康保险集团股份有限公司 链式信息传播追踪管理系统及方法
CN107169025B (zh) * 2017-04-11 2020-06-26 海南凯迪网络资讯股份有限公司 一种分享的智能跟踪方法、装置和系统
CN108345636A (zh) * 2017-12-31 2018-07-31 广东智媒云图科技股份有限公司 一种阅读情况跟踪方法、电子设备及存储介质
US20190289085A1 (en) * 2018-03-13 2019-09-19 Indigenous Software, Inc. System and method for tracking online user behavior across browsers or devices

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108920527A (zh) * 2018-06-07 2018-11-30 桂林电子科技大学 一种基于知识图谱的个性化推荐方法
CN109241427A (zh) * 2018-09-04 2019-01-18 中国平安人寿保险股份有限公司 信息推送方法、装置、计算机设备和存储介质
CN109242633A (zh) * 2018-09-20 2019-01-18 阿里巴巴集团控股有限公司 一种基于二部图网络的商品推送方法和装置
CN110413896A (zh) * 2019-06-06 2019-11-05 腾讯科技（北京）有限公司 网络信息推送方法、装置、计算机设备及存储介质

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113221009A (zh) * 2021-05-26 2021-08-06 东莞市盟大塑化科技有限公司 一种邀请码生成方法、装置、设备及存储介质
CN113900907A (zh) * 2021-11-17 2022-01-07 杭州推啊网络科技有限公司 一种映射构建方法和系统
CN113900907B (zh) * 2021-11-17 2024-01-30 杭州推啊网络科技有限公司 一种映射构建方法和系统
CN114745421A (zh) * 2022-03-30 2022-07-12 北京奇艺世纪科技有限公司 裂变路径数据的记录方法、装置、服务器及存储介质
CN114745421B (zh) * 2022-03-30 2023-10-10 北京奇艺世纪科技有限公司 裂变路径数据的记录方法、装置、服务器及存储介质
CN117196662A (zh) * 2023-03-22 2023-12-08 山东浪潮爱购云链信息科技有限公司 一种基于电商平台的用户行为采集方法、设备及介质

Also Published As

Publication number Publication date
CN112784152A (zh) 2021-05-11

Similar Documents

Publication Publication Date Title
US11729285B2 (en) Systems and methods for matching online users across devices
US10861055B1 (en) Method and system for identifying users across mobile and desktop devices
US11704694B2 (en) Systems and methods for inferring matches and logging-in of online users across devices
US20220230202A1 (en) Systems and methods for matching online users across devices
WO2021093423A1 (zh) 一种标记用户的方法和装置
US11100534B2 (en) Behavioral retargeting system and method for cookie-disabled devices
TWI462565B (zh) 行動裝置上對使用者追蹤資料之方法及其系統
US11494666B2 (en) Systems and methods for online content recommendation
US20200342041A1 (en) Audience on networked devices
US11677845B2 (en) Matching and attribution of user device events
WO2014146099A1 (en) Cross-domain id synchronization in online advertisement
US11276087B2 (en) Systems and methods for providing targeted content across user channels
US20120226561A1 (en) Aggregated Contextual Targeting Advertisements Using Instant Messaging Clients
US20110196742A1 (en) Method to drive a campaign workflow based on a short message service (sms) message response
US20150242885A1 (en) Invitational content attribution
US20150245110A1 (en) Management of invitational content during broadcasting of media streams
US20160027025A1 (en) Systems and methods of counting unique interactions between users of a software application
CN110727885A (zh) 一种互联网全局统一标识符生成系统及其生成方法
US10757203B2 (en) Method to enrich the browser cookies' attributes by graph propagation
CN110796543B (zh) 基于关系网络的定制信息获取方法、装置及电子设备
US20240054030A1 (en) Local and Remote Event Handling
US20230344913A1 (en) Systems and methods for matching online users across devices

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20888099

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20888099

Country of ref document: EP

Kind code of ref document: A1

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 210922)

122 Ep: pct application non-entry in european phase

Ref document number: 20888099

Country of ref document: EP

Kind code of ref document: A1