WO2020082829A1

WO2020082829A1 - User age prediction method, apparatus, and device

Info

Publication number: WO2020082829A1
Application number: PCT/CN2019/097440
Authority: WO
Inventors: 陈弢; 徐峰; 陈帅
Original assignee: 阿里巴巴集团控股有限公司
Priority date: 2018-10-24
Filing date: 2019-07-24
Publication date: 2020-04-30
Also published as: CN109376927A; TW202032466A

Abstract

Disclosed by the present application are a user age prediction method, apparatus, and device. The method comprises: with regard to there being no way to directly learn a target mobile phone number of a user age, collecting an address list of other users the user ages of which may be directly learned, viewing comment information of another user in the address list for a target mobile phone number, and predicting user age for the target mobile phone number on the basis of the age and comment information of the other user.

Description

User age prediction method, device and equipment

Technical field

This application relates to the field of computer technology, and in particular, to a method, device, and device for predicting user age.

Background technique

At present, 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.

Therefore, a reliable user age prediction scheme is needed.

Summary of the invention

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:

Determine the target mobile phone number that needs to predict the user's age;

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;

Based on the remark information and the ages of the other users, the age of the user of the target mobile phone number is predicted.

Determine the target account that needs to predict the user's age;

Determine the remark information of the target account saved in the address book of other users, and the age of the other users;

Based on the remark information and the ages of the other users, 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.

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:

Processor; and

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 above at least one technical solution adopted by the embodiments of the present specification can achieve the following beneficial effects:

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. Compared with the scheme of determining the user's age by means of identity authentication in the prior art, 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.

BRIEF DESCRIPTION

The drawings described here are used to provide a further understanding of the present application and form a part of the present application. The schematic embodiments and descriptions of the present application are used to explain the present application and do not constitute an undue limitation on the present application. In the drawings:

FIG. 1 is a schematic diagram of an application scenario provided by this specification;

2 is a schematic flowchart of a user age prediction method according to an embodiment of the present specification;

3 is a schematic flowchart of an implementation manner of step 260 provided by an embodiment of the present specification;

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;

6 is a schematic flowchart of a user age prediction method according to another embodiment of the present specification;

7 is a schematic structural diagram of a user age prediction device according to an embodiment of the present specification;

8 is a schematic structural diagram of a user age prediction device according to another embodiment of the present specification;

9 is a schematic structural diagram of an electronic device according to an embodiment of the present specification.

detailed description

In order to make the purpose, technical solutions and advantages of the present application more clear, the technical solutions of the present application will be described clearly and completely in conjunction with specific embodiments of the present application and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in this application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the scope of protection of this application.

Combined with the statements in the background technology section, in marketing, promotion and other scenarios, it is generally necessary to cover as many user groups as possible, and in order to improve the effect, more consistent strategies will be formulated for user groups of different ages; therefore, need Determine the age of as many users as possible.

At present, 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.

Among them, 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.

Based on this, the present invention provides a method for predicting the age of a user. For a target mobile phone number where the user's age cannot be directly known, 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. Compared with the scheme of determining the user's age by means of identity authentication in the prior art, 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.

Among them, 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 of the present invention will be exemplarily described below with reference to FIG. 1.

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.

Among them, 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.

The technical solutions provided by the embodiments of the present application will be described in detail below in conjunction with the drawings.

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:

From the database 113, a mobile phone number that has not been authenticated is selected.

For example: 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;

It should be noted that an implementation manner of the step of determining remark information may be:

Obtain the mobile phone number address book in which the target mobile phone number is stored; determine the remark information set by other users stored in the mobile phone number address book for the target mobile phone number.

Among them, 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:

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. Specific examples can be:

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.

Among them, 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.

Optionally, before obtaining the address book or before performing step 260, 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:

Screening the address books of the other users to filter out the address books of other users who have passed the identity authentication.

It is not difficult to understand that when other users use mobile phone numbers to register application accounts, they may not have been authenticated. Therefore, they cannot directly obtain the age of this part of other users, and they cannot provide help for predicting the age of the target mobile phone number. The address book of other users in this part is filtered to reduce the amount of data processing.

Based on this, the implementation of the step of determining the age of the other user may be:

Based on the identity information such as the ID card number, ID card image and the like provided during the identity authentication, 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;

It is not difficult to understand that 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:

For 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.

For steps 340 to 380, see FIG. 5, which can be specifically exemplified as:

First, construct the corresponding relationship between the title remarks-social relationship-age relationship, for example: brother-in-law relationship-same age, second uncle-nephew nephew relationship-age increase, or further determine the ageing weight or decrease corresponding to social relationship Age weight

Then, based on the corresponding relationship, 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.

Finally, based on the age of each other user and its corresponding ageing weight or ageing weight, calculate the user age based on the target mobile phone number predicted by each other user; average and weight each predicted age value The integration process such as averaging results in the final predicted user age of the target mobile phone number.

It can be seen that, in this embodiment, when predicting the age of the user of the target mobile phone number, 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. Compared with the scheme of determining the user's age by means of identity authentication in the prior art, 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;

Among them, 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. Of course, some application operators also allow the use of mobile phones Number as the user's account.

In addition, 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:

Identify the accounts that have been authenticated and those that have not been authenticated among the accounts of the users of application A, and store their address books in the first database and the second database; when it is necessary to predict the account a in the first database When 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.

For 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.

It can be seen that when predicting the user age of the target account of the application, 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.

In addition, the above method embodiments are described as a series of action combinations for the sake of simple description, but those skilled in the art should know that the embodiments of the present invention are not limited by the sequence of actions described because In embodiments of the invention, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

FIG. 7 is a schematic structural diagram of a user age prediction device according to an embodiment of the present specification. Referring to FIG. 7, 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.

Optionally, the first determining module 71 is specifically used to:

Determine the mobile phone number that has not been authenticated as the target mobile phone number.

Optionally, 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.

Optionally, 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.

Optionally, the second determination module 72 is specifically used to:

Based on the identity information provided during identity authentication, the ages of the other users who have passed the identity authentication are determined.

Optionally, the prediction module 73 is specifically used for:

Based on the remark information, 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.

Optionally, the remark information includes: a title remark; a prediction module 73, specifically used for:

Based on the appellation remarks, 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.

Optionally, the prediction module 73 is specifically used for:

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, 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.

It can be seen that 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. Compared with the scheme of determining the user's age by means of identity authentication in the prior art, 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. Referring to FIG. 8, 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.

Optionally, the first determining module 81 is specifically used for:

Determine the account without identity authentication as the target account.

Optionally, the second determining module 82 is specifically used to:

Obtain the application address book where the target account is stored; determine the remark information set by other users stored in the application address book for the target account.

Optionally, 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.

Optionally, the second determining module 82 is specifically used to:

Optionally, the prediction module 83 is specifically used for:

Based on the remark information, 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.

Optionally, the remark information includes: a title remark; wherein, the prediction module 83 is specifically used for:

Based on the appellation remarks, determine the social relationship between the other user and the target account user; based on the social relationship, predict the age relationship between the other user and the target account user.

Optionally, the prediction module 83 is specifically used for:

Determine the user age of the target account based on the age of each other user and the age relationship between the other user and the user of the target account; perform the user age of the target account corresponding to each other user Statistical analysis to determine the user age of the target account.

It can be seen that when predicting the user age of the target account of the application, 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 without identity authentication, and improve all-round data support for business promotion and marketing.

In addition, for the above-mentioned device implementations, since they are basically similar to the method implementations, the description is relatively simple, and the relevant parts can be referred to the description of the method implementations. It should be noted that among the various components of the device of the present invention, the components therein are logically divided according to the functions to be realized, but the present invention is not limited to this, and each component can be re-divided as needed Or combination.

9 is a schematic structural diagram of an electronic device according to an embodiment of the present specification. Referring to FIG. 9, the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory. Required hardware. 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. Of course, in addition to the software implementation, 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. Specifically, 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.

The processor is used to execute the program stored in the memory and specifically execute:

Determine the target mobile phone number that needs to predict the user's age;

or,

Determine the target account that needs to predict the user's age;

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. In the implementation process, 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.

Based on the same invention, 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. When 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 in this specification are described in a progressive manner. The same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant part can be referred to the description of the method embodiment.

The foregoing describes specific embodiments of the present specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the particular order shown or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Those skilled in the art should understand that 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.

The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram and a combination of the flow and / or block in the flowchart and / or block diagram may be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, embedded processing machine, or other programmable data processing device to produce a machine that enables the generation of instructions executed by the processor of the computer or other programmable data processing device A device for realizing the functions specified in one block or multiple blocks of one flow or multiple blocks of a flowchart.

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.

In a typical configuration, the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and 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.

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. According to the definition in this article, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

It should also be noted that the terms "include", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device that includes a series of elements not only includes those elements, but also includes Other elements not explicitly listed, or include elements inherent to such processes, methods, goods, or equipment. Without more restrictions, the element defined by the sentence "include one ..." does not exclude that there are other identical elements in the process, method, commodity, or equipment that includes the element.

Those skilled in the art should understand that 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.

The above is only an embodiment of the present application, and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included in the scope of the claims of this application.

Claims

A user age prediction method, including:

Determine the target mobile phone number that needs to predict the user's age;

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;

Based on the remark information and the ages of the other users, the age of the user of the target mobile phone number is predicted.
According to the method of claim 1, determining the target mobile phone number that needs to predict the user's age includes:

Determine the mobile phone number that has not been authenticated as the target mobile phone number.
According to the method of claim 1, determining the remark information of the target mobile phone number stored in the address book of other users includes:

Obtain a mobile phone number address book in which the target mobile phone number is stored;

Determining the remark information set by other users in the mobile phone number address book on the target mobile phone number.
According to the method of claim 1, determining the remark information of the target mobile phone number stored in the address book of other users includes:

Determine 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 the remark information set by the other users in the application address book on the at least one application account as the remark information of the target mobile phone number.
The method according to claim 3 or 4, before determining the remark information of the target mobile phone number stored in the address book of other users, further comprising:

Screening the address books of the other users to filter out the address books of other users who have passed the identity authentication.
According to the method of claim 5, determining the age of the other user includes:

Based on the identity information provided during identity authentication, the ages of the other users who have passed the identity authentication are determined.
The method according to claim 1, based on the remark information and the ages of the other users, predicting the user age of the target mobile phone number includes:

Predict the age relationship between the other user and the user of the target mobile phone number based on the remark information;

The user age of the target mobile phone number is determined based on the age relationship and the ages of the other users.
The method according to claim 7, wherein the remark information includes: a title remark;

Wherein, based on the remark information, predicting the age relationship between the other user and the user of the target mobile phone number includes:

Determine the social relationship between the other user and the user of the target mobile phone number based on the title remarks;

Based on the social relationship, an age relationship between the other user and the user of the target mobile phone number is predicted.
The method according to claim 7, determining the user age of the target mobile phone number based on the age relationship and the ages of the other users includes:

Determine the age of the user of the target mobile phone number 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;

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.
A user age prediction method, including:

Determine the target account that needs to predict the user's age;

Determine the remark information of the target account saved in the address book of other users, and the age of the other users;

Based on the remark information and the ages of the other users, the age of the user of the target account is predicted.
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.
The apparatus according to claim 11, the second determining module is specifically configured 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 apparatus according to claim 11, the prediction module is specifically configured to:

Based on the remark information, 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.
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 used to predict the age of the user of the target account based on the remark information and the age of the other users.
An electronic device, including:

Processor; and

A memory arranged to store computer-executable instructions which, when executed, causes the processor to perform the steps of the method according to any one of claims 1 to 10.
A computer-readable storage medium having a computer program stored on it, which when executed by a processor implements the steps of the method according to any one of claims 1 to 10.