WO2020082829A1 - Procédé, appareil et dispositif de prédiction d'âge utilisateur - Google Patents

Procédé, appareil et dispositif de prédiction d'âge utilisateur Download PDF

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Publication number
WO2020082829A1
WO2020082829A1 PCT/CN2019/097440 CN2019097440W WO2020082829A1 WO 2020082829 A1 WO2020082829 A1 WO 2020082829A1 CN 2019097440 W CN2019097440 W CN 2019097440W WO 2020082829 A1 WO2020082829 A1 WO 2020082829A1
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WO
WIPO (PCT)
Prior art keywords
age
user
mobile phone
phone number
users
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PCT/CN2019/097440
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English (en)
Chinese (zh)
Inventor
陈弢
徐峰
陈帅
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阿里巴巴集团控股有限公司
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Publication of WO2020082829A1 publication Critical patent/WO2020082829A1/fr

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    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • 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

Definitions

  • This application relates to the field of computer technology, and in particular, to a method, device, and device for predicting user age.
  • the age of a mobile phone number user is generally determined by means of identity authentication, and for a mobile phone number without identity authentication, the age of the user cannot be determined.
  • the embodiment of the present specification provides a user age prediction method for predicting the user age of a mobile phone number without identity authentication.
  • the embodiment of the present specification also provides a user age prediction method, including:
  • the age of the user of the target mobile phone number is predicted.
  • the embodiment of the present specification also provides a user age prediction method, including:
  • the age of the user of the target account is predicted.
  • An embodiment of this specification also provides a user age prediction device, including:
  • the first determination module is used to determine the target mobile phone number that needs to predict the user's age
  • a second determining module configured to determine the remark information of the target mobile phone number stored in the address book of other users, and the age of the other users;
  • the prediction module is used to predict the user age of the target mobile phone number based on the remark information and the ages of the other users.
  • An embodiment of this specification also provides a user age prediction device, including:
  • the first determining module is used to determine the target account that needs to predict the user's age
  • a second determination module configured to determine the remark information of the target account saved in the address book of other users, and the age of the other users;
  • the prediction module is configured to predict the age of the user of the target account based on the remark information and the age of the other users.
  • An embodiment of this specification also provides an electronic device, including:
  • a memory arranged to store computer executable instructions that, when executed, causes the processor to perform the steps of the user age prediction method described above.
  • Embodiments of the present specification also provide a computer-readable storage medium that stores a computer program on the computer-readable storage medium, and the computer program is executed by a processor to perform the steps of the user age prediction method described above.
  • the user's age of the target mobile phone number is predicted based on the remark information stored in the address book of other users and the target mobile phone number of which the user's age cannot be directly known, and the age of other users, and based on the remark information and the age of other users.
  • the user age of the mobile phone number without identity authentication can be further predicted, and comprehensive data support can be improved for business promotion and marketing.
  • FIG. 1 is a schematic diagram of an application scenario provided by this specification
  • FIG. 2 is a schematic flowchart of a user age prediction method according to an embodiment of the present specification
  • step 260 is a schematic flowchart of an implementation manner of step 260 provided by an embodiment of the present specification
  • FIG. 4 is a schematic diagram of statistical analysis results of remark information provided by an embodiment of the present specification.
  • FIG. 5 is a schematic flowchart of an age prediction step based on a title note provided by an embodiment of the present specification
  • FIG. 6 is a schematic flowchart of a user age prediction method according to another embodiment of the present specification.
  • FIG. 7 is a schematic structural diagram of a user age prediction device according to an embodiment of the present specification.
  • FIG. 8 is a schematic structural diagram of a user age prediction device according to another embodiment of the present specification.
  • FIG. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present specification.
  • the age of a user is generally determined by identity authentication, and the age of a user who has passed identity authentication cannot be determined, resulting in the inability to maximize the size of the user group, and thus the optimal marketing and promotion effects.
  • users also known as users, refer to people who use computers or network services, usually have a user account and are identified by a user name; the user account can be a mobile phone number or an account of a client; the client Or referred to as the client, which refers to the program corresponding to the server to provide local services for customers; identity authentication, also known as “identity verification” or “identity authentication”, refers to the confirmation of the identity of the operator in the computer and computer network system Process to determine whether the user has access to and use of certain resources.
  • the present invention provides a method for predicting the age of a user.
  • the user's address book is obtained by extracting other users' remarks on the target mobile phone number
  • the age of the user can further predict the age of the user of the target mobile phone number based on the remark information and the ages of other users.
  • the user age of the mobile phone number without identity authentication can be further predicted, and comprehensive data support can be improved for business promotion and marketing.
  • the address book refers to the book that records the communication address
  • the communication address includes: name, phone number, unit phone, mobile phone, fax number, e-mail, etc .
  • the remark information refers to the explanation of other users recorded, including: Communication address and explanation of communication address.
  • the application scenario includes: a server 111, a user equipment set 112, and a database 113; where:
  • the user equipment set 112 includes multiple user equipment, and a client corresponding to the server 111 is installed on the user equipment.
  • the client is used to collect the address book on the user equipment based on the authority granted by the user and mention it to the server 111;
  • the server 111 is used to receive the mobile phone number reported by the client and its corresponding address book and store it in the database 113; check the mobile phone number without identity authentication in the database 113 as the target mobile phone number; check that the target is stored in the database 113 Other users 'remarks about the target phone number in the phone number's address book, and the age of other users' authentication, and predict the user's age of the target phone number.
  • the user equipment refers to the terminal equipment used by the user, which can be a PC terminal or a mobile terminal; a mobile terminal, or mobile communication terminal refers to a computer device that can be used in mobile. Broadly speaking, it includes a mobile phone, a notebook, Tablet computers, POS machines and even car computers. But in most cases it refers to mobile phones or smartphones and tablets with multiple application functions.
  • FIG. 2 is a schematic flowchart of a user age prediction method according to an embodiment of the present specification. The method may be executed by the server 111 in FIG. 1. Referring to FIG. 2, the method may specifically include the following steps:
  • Step 220 Determine a target mobile phone number that needs to predict the user's age; one implementation method may be:
  • a mobile phone number that has not been authenticated is selected.
  • the user based on user authorization, read the user ’s mobile phone number and check whether the mobile phone number is bound to any authenticated account. If it is, the identity information that can be authenticated directly obtains the age of the user of the mobile phone number; otherwise, it cannot be Get the user's age directly, and use the phone number as the target phone number.
  • Step 240 Determine the remark information of the target mobile phone number stored in the address book of other users and the age of the other users;
  • an implementation manner of the step of determining remark information may be:
  • the mobile phone number address book refers to the address book on the user device that stores the mobile phone number, for example: mobile phone address book;
  • the remark information set for the target mobile phone number refers to the name and title of the user's remarks when establishing the contact corresponding to the target mobile phone number ,
  • Note name and description information for example: the user creates a new contact for a new mobile phone number, and notes the name, ringtone and other information.
  • Another implementation of the step of determining remark information may be:
  • Specific examples can be:
  • application A's account a, application B's account b Based on the user authorization and the authorization of other partners, view one or more application accounts registered by the user with the target mobile phone number, for example: application A's account a, application B's account b; then, read application A's other The address book of the user and other users of application B to obtain the address book of account a and the address book of account b, respectively, and further view the remark information of other users of application A on account a and the other users of application B Remark information on account b, and then statistically analyze the remark information corresponding to account a and account b.
  • application A's account a, application B's account b Based on the user authorization and the authorization of other partners, view one or more application accounts registered by the user with the target mobile phone number, for example: application A's account a, application B's account b; then, read application A's other The address book of the user and other users of application B to obtain the address book of account a and the address
  • other partners refer to the owners of the application, for example: the owner of the application A, the owner of the application B; the account a and account b may be the account provided by the application owner, or may be the target mobile phone number itself.
  • the method further includes the step of filtering the address book to filter out the address book in which the target mobile phone number is saved and the mobile phone number corresponding to the address book has passed the identity authentication.
  • This implementation can be:
  • the implementation of the step of determining the age of the other user may be:
  • the age of the other users who have passed the identity authentication is determined.
  • Step 260 Predict the user age of the target mobile phone number based on the remark information and the ages of the other users.
  • One of its implementation methods can be:
  • Step S1 based on the remark information, predict the age relationship between the other user and the user of the target mobile phone number;
  • the remarks information reflects the age relationship between users to some extent. For example, if other users remark old brother, they can reflect that the user of the target mobile phone number is older; other users remark old brother, then they can The user who responds to the target phone number is younger.
  • Step S2 Determine the user age of the target mobile phone number based on the age relationship and the ages of the other users.
  • the remark information may be a title remark, accordingly, referring to FIG. 3, an implementation manner of steps S1-S2 may be:
  • Step 320 Determine the social relationship between the other user and the user of the target mobile phone number based on the title remarks; referring to FIG. 4, specific examples thereof are:
  • the target phone number 187xxxxxxxx it can be saved by many other users, and the title remarks are also different based on different social relations; statistical analysis of the title remarks set by other users, the remarks are 'Wei Hongmiao' 266 Times, record (Wei Hongmiao, 266, social relationship is none); remarks are 'Mr. Wei' 73 times, record (Mr. Wei, 73, social relationship is none), notes are 'brother-in-law' 7 times, record (brother-in-law, 7. The social relationship is the brother-in-law and the younger uncle (little aunt)), the remark is "second uncle" 6 times, the record (second uncle, 6, the social relationship is uncle and nephew) and so on.
  • Step 340 Based on the social relationship, predict the age relationship between the other user and the user of the target mobile phone number.
  • Step 360 based on the age of each other user and the age relationship between the other user and the user of the target mobile phone number, determine the user age of the target mobile phone number;
  • Step 380 Perform statistical analysis on the user age of the target mobile phone number corresponding to each other user to determine the user age of the target mobile phone number.
  • steps 340 to 380 see FIG. 5, which can be specifically exemplified as:
  • the age relationship corresponding to the remarks of each title of "Wei Hongmiao" by other users in FIG. 4 is determined. If it is the title of the older generation, the age relationship is determined as the weight of the older generation plus age, which is the average age difference of 23 years; if it is the title of the older generation, the age relationship is determined as the weight of the older generation plus age, The value is the difference between the average age of two generations, 46 years old; if the title of the younger generation is determined, the age relationship is determined as the weight of the younger generation.
  • the value is the average age difference, 23 years old; if the age is determined
  • the relationship is the same age appellation, the age of the user of the target mobile phone number can be taken as the age of the other user, or further subdivision of the same age appellation, including: for older cousin appellations such as 'brother', 'sister',
  • the age relationship is determined as the weight of the peers plus age, and the value is the average age difference between the older brother and the older sister.
  • the remark information about the target mobile phone number stored in the address book of other users and the age of other users are obtained, and based on the remark information and the age of other users, the prediction The age of the user out of the target phone number.
  • the user age of the mobile phone number without identity authentication can be further predicted, and comprehensive data support can be improved for business promotion and marketing.
  • FIG. 6 is a schematic flowchart of a user age prediction method according to another embodiment of the present specification. The method may be executed by the server 111 in FIG. 1. Referring to FIG. 6, the method may specifically include the following steps:
  • Step 620 Determine a target account that needs to predict the user's age
  • the target account refers to the account that the user applies to the application server to distinguish certain resources that other users access to the server, which can be a combination of numbers, letters, characters, etc.
  • the application server can distinguish certain resources that other users access to the server, which can be a combination of numbers, letters, characters, etc.
  • some application operators also allow the use of mobile phones Number as the user's account.
  • operators generally require users to perform identity authentication to facilitate application operations, but also allow users not to perform identity authentication, for example: using the guest login method; for user groups that have already been authenticated, users can be directly obtained through the operator Age, and for groups of users who have not been authenticated, their age needs to be predicted.
  • Step 640 Determine the remark information of the target account and the age of the other user saved in the address book of other users; assuming that the target account is the account a of the application A, the implementation of step 640 may be exemplified by:
  • the user's age read the address book of account a or other accounts that have a friend relationship with account a from the second database, and determine the remark information of account a saved in the address book, and the age of other account identity authentication .
  • Step 660 Predict the age of the user of the target account based on the remark information and the age of the other users.
  • step 660 since it is similar to step 260 in the embodiment for FIG. 2 and has a similar implementation manner, step 660 will not be repeated here.
  • this embodiment obtains the remark information about the target account and the age of the other account saved in the address book corresponding to the other account of the application, and based on the remark information and the other account ’s age.
  • Age predict the user's age of the target account. Compared with the scheme of determining the user's age by means of identity authentication in the prior art, it can further predict the user age of the account that has not been authenticated, and improve all-round data support for business promotion and marketing.
  • FIG. 7 is a schematic structural diagram of a user age prediction device according to an embodiment of the present specification.
  • the device may specifically include: a first determination module 71, a second determination module 72, and a prediction module 73, where:
  • the first determining module 71 is used to determine a target mobile phone number that needs to predict the user's age
  • the second determination module 72 is used to determine the remark information of the target mobile phone number saved in the address book of other users and the age of the other users;
  • the prediction module 73 is configured to predict the user age of the target mobile phone number based on the remark information and the ages of the other users.
  • the first determining module 71 is specifically used to:
  • the second determination module 72 is specifically used to:
  • the second determination module 72 is specifically used to:
  • Determining at least one application account associated with the target mobile phone number obtaining an application account address book in which the at least one application account is stored; determining note information set by other users stored in the application address book for the at least one application account As the remark information of the target mobile phone number.
  • the device further includes:
  • the screening module is used for screening the address books of the other users to screen out the address books of other users who have passed the identity authentication.
  • the second determination module 72 is specifically used to:
  • the ages of the other users who have passed the identity authentication are determined.
  • the prediction module 73 is specifically used for:
  • an age relationship between the other user and the user of the target mobile phone number is predicted; based on the age relationship and the age of the other user, the user age of the target mobile phone number is determined.
  • the remark information includes: a title remark; a prediction module 73, specifically used for:
  • the social relationship between the other user and the user of the target mobile phone number is determined; based on the social relationship, the age relationship between the other user and the user of the target mobile phone number is predicted.
  • the prediction module 73 is specifically used for:
  • the user age of the target mobile phone number is determined; for the target mobile phone number corresponding to each other user Perform statistical analysis on the user's age to determine the user's age of the target mobile phone number.
  • this embodiment predicts the target mobile phone based on the remark information stored in the address book of other users and the age of other users, and the age of other users, based on the remark information and the age of other users The user age of the number.
  • the user age of the mobile phone number without identity authentication can be further predicted, and comprehensive data support can be improved for business promotion and marketing.
  • FIG. 8 is a schematic structural diagram of a user age prediction apparatus according to another embodiment of the present specification.
  • the apparatus may specifically include: a first determination module 81, a second determination module 82, and a prediction module 83, where:
  • the first determining module 81 is used to determine a target account that needs to predict the user's age
  • the second determination module 82 is used to determine the remark information of the target account saved in the address book of other users and the age of the other users;
  • the prediction module 83 is configured to predict the age of the user of the target account based on the remark information and the age of the other users.
  • the first determining module 81 is specifically used for:
  • the second determining module 82 is specifically used to:
  • the device further includes:
  • the screening module is used for screening the application address book of the other users, so as to filter out the application address books of other users who have passed the identity authentication.
  • the second determining module 82 is specifically used to:
  • the ages of the other users who have passed the identity authentication are determined.
  • the prediction module 83 is specifically used for:
  • the age relationship between the other user and the user of the target account is predicted; based on the age relationship and the age of the other user, the user age of the target account is determined.
  • the remark information includes: a title remark; wherein, the prediction module 83 is specifically used for:
  • the prediction module 83 is specifically used for:
  • this embodiment obtains the remark information about the target account and the age of the other account saved in the address book corresponding to the other account of the application, and based on the remark information and the other account ’s age.
  • Age predict the user's age of the target account.
  • it can further predict the user age of the account without identity authentication, and improve all-round data support for business promotion and marketing.
  • the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory.
  • the processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it to form a user age prediction device at a logical level.
  • this application does not exclude other implementations, such as a logic device or a combination of software and hardware, etc., that is to say, the execution body of the following processing flow is not limited to each logical unit, it can also be Hardware or logic device.
  • the network interface, processor and memory can be connected to each other via a bus system.
  • the bus may be an ISA (Industry Standard Architecture, Industry Standard Architecture) bus, a PCI (Peripheral Components Interconnect, Peripheral Component Interconnect Standard) bus, or an EISA (Extended Industry Standard, Extended Industry Standard Architecture) bus, etc.
  • the bus can be divided into an address bus, a data bus, and a control bus. For ease of representation, only one bidirectional arrow is used in FIG. 9, but it does not mean that there is only one bus or one type of bus.
  • the memory is used to store programs.
  • the program may include program code, and the program code includes computer operation instructions.
  • the memory may include read-only memory and random access memory, and provide instructions and data to the processor.
  • the memory may include a high-speed random access memory (Random-Access Memory, RAM), or may also include a non-volatile memory (non-volatile memory), for example, at least one disk memory.
  • RAM Random-Access Memory
  • non-volatile memory non-volatile memory
  • the processor is used to execute the program stored in the memory and specifically execute:
  • the age of the user of the target mobile phone number is predicted.
  • the age of the user of the target account is predicted.
  • the method performed by the user age prediction device or the master node disclosed in the embodiments shown in FIGS. 7-8 of the present application may be applied to a processor, or implemented by a processor.
  • the processor may be an integrated circuit chip with signal processing capabilities.
  • each step of the above method may be completed by an integrated logic circuit of hardware in the processor or instructions in the form of software.
  • the aforementioned processor may be a general-purpose processor, including a central processor (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc .; it may also be a digital signal processor (Digital Signal Processor, DSP), dedicated integration Circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.
  • the methods, steps, and logical block diagrams disclosed in the embodiments of the present application may be implemented or executed.
  • the general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • the steps of the method disclosed in conjunction with the embodiments of the present application may be directly embodied and executed by a hardware decoding processor, or may be executed and completed by a combination of hardware and software modules in the decoding processor.
  • the software module may be located in a mature storage medium in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, an electrically erasable programmable memory, and a register.
  • the storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.
  • the user age prediction device can also execute the methods of FIGS. 2-3 and 5-6, and implement the method executed by the administrator node.
  • the embodiments of the present application also provide a computer-readable storage medium, where the computer-readable storage medium stores one or more programs, and the one or more programs include multiple application programs.
  • the electronic device is executed, the electronic device is caused to execute the user age prediction method provided in the embodiments corresponding to FIGS. 2-3 and 5-6.
  • the embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.
  • computer usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • These computer program instructions may also be stored in a computer readable memory that can guide a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, the instructions The device implements the functions specified in one block or multiple blocks of the flowchart one flow or multiple flows and / or block diagrams.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operating steps are performed on the computer or other programmable device to produce computer-implemented processing, which is executed on the computer or other programmable device
  • the instructions provide steps for implementing the functions specified in one block or multiple blocks of the flowchart one flow or multiple flows and / or block diagrams.
  • the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.
  • processors CPUs
  • input / output interfaces output interfaces
  • network interfaces network interfaces
  • memory volatile and non-volatile memory
  • the memory may include non-permanent memory, random access memory (RAM) and / or non-volatile memory in computer-readable media, such as read only memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
  • RAM random access memory
  • ROM read only memory
  • flash RAM flash memory
  • Computer-readable media including permanent and non-permanent, removable and non-removable media, can store information by any method or technology.
  • the information may be computer readable instructions, data structures, modules of programs, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, read-only compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, Magnetic tape cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media can be used to store information that can be accessed by computing devices.
  • computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.
  • the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.
  • computer usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.

Abstract

L'invention concerne un procédé, un appareil et un dispositif permettant de prédire l'âge d'un utilisateur. Le procédé consiste à : par rapport au fait qu'il n'existe pas de moyen d'apprendre directement un numéro de téléphone mobile cible d'un âge utilisateur, collecter une liste d'adresses d'autres utilisateurs dont les âges peuvent être directement appris ; visualiser les informations de commentaire d'un autre utilisateur dans la liste d'adresses pour un numéro de téléphone mobile cible ; et prédire l'âge utilisateur pour le numéro de téléphone mobile cible d'après l'âge et les informations de commentaire de l'autre utilisateur.
PCT/CN2019/097440 2018-10-24 2019-07-24 Procédé, appareil et dispositif de prédiction d'âge utilisateur WO2020082829A1 (fr)

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CN201811241331.9A CN109376927A (zh) 2018-10-24 2018-10-24 一种用户年龄预测方法、装置及设备

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CN109376927A (zh) * 2018-10-24 2019-02-22 阿里巴巴集团控股有限公司 一种用户年龄预测方法、装置及设备
CN112488742A (zh) 2019-09-12 2021-03-12 北京三星通信技术研究有限公司 用户属性信息的预测方法、装置、电子设备及存储介质
CN111639966A (zh) * 2020-05-19 2020-09-08 上海连尚网络科技有限公司 用户年龄信息预测方法、装置、电子设备及介质
CN113505308B (zh) * 2021-09-09 2022-02-18 北京轻松筹信息技术有限公司 一种用户年龄的预测方法及装置、可读存储介质

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