WO2025112970A1 - 泛身份认证的方法和系统 - Google Patents

泛身份认证的方法和系统 Download PDF

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Publication number
WO2025112970A1
WO2025112970A1 PCT/CN2024/126012 CN2024126012W WO2025112970A1 WO 2025112970 A1 WO2025112970 A1 WO 2025112970A1 CN 2024126012 W CN2024126012 W CN 2024126012W WO 2025112970 A1 WO2025112970 A1 WO 2025112970A1
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WIPO (PCT)
Prior art keywords
pan
identity
target
authentication
question
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English (en)
French (fr)
Inventor
任翔
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Alipay Hangzhou Information Technology Co Ltd
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Alipay Hangzhou Information Technology Co Ltd
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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/45—Structures or tools for the administration of authentication
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation

Definitions

  • This specification relates to the field of identity authentication, and in particular to a method and system for universal identity authentication.
  • pan-identity authentication which can perform pan-identity authentication on users so that users can only publish content related to their authenticated pan-identities, thereby improving the quality of content published by users.
  • the method and system for pan-identity authentication provided in this specification can effectively authenticate the pan-identity of users who share content in a certain field.
  • the present specification provides a method for pan-identity authentication, which is applied to a computing device, comprising: receiving a pan-identity authentication request corresponding to a target user, the pan-identity authentication request being used to request authentication of whether the target user has a target pan-identity; determining at least one authentication question corresponding to the target pan-identity, and obtaining the target user's answer to the at least one authentication question; and determining a pan-identity authentication result corresponding to the target user based on the target user's answer to the at least one authentication question.
  • the target pan-identity includes a domain identity corresponding to a target domain
  • the authentication question includes a question asking for knowledge of the target domain
  • the determining of at least one authentication question corresponding to the target pan-identity and obtaining the target user's answer to the at least one authentication question includes: determining the first authentication question based on the target pan-identity and obtaining the target user's answer to the first authentication question; and looping the following steps until a preset end condition: generating an i-th authentication question based on the target pan-identity, the i-1th authentication question, and at least one of the answers corresponding to the i-1th authentication question, wherein during the loop execution, i takes values in ascending order among integers greater than 1, and obtaining the target user's answer to the i-th authentication question.
  • determining the first authentication question based on the target pan-identity includes: obtaining a preset question set corresponding to the target pan-identity, the preset question set including at least one candidate question; and selecting a candidate question from the preset question set as the first authentication question.
  • determining the first authentication question based on the target pan-identity includes: Target pan-identity, obtain at least one knowledge point corresponding to the target field; select a target knowledge point from the at least one knowledge point; and generate a target authentication question based on the target knowledge point through artificial intelligence content generation AIGC, and determine the target authentication question as the first authentication question.
  • the generating of the i-th authentication question based on the target pan-identity, the i-1th authentication question, and at least one of the answers corresponding to the i-1th authentication question includes: determining at least one knowledge point corresponding to the target field based on the target pan-identity, the i-1th authentication question, and at least one of the answers corresponding to the i-1th authentication question; selecting a target knowledge point from the at least one knowledge point; and generating a target authentication question based on the target knowledge point through artificial intelligence content generation AIGC, and determining the target authentication question as the i-th authentication question.
  • the determining of at least one knowledge point corresponding to the target domain based on the target pan-identity, the i-1th authentication question, and at least one of the answers to the i-1th authentication question includes: determining at least one knowledge point corresponding to the target domain based on the target pan-identity, the i-1th authentication question, and at least one of the answers to the i-1th authentication question through a pan-identity model, wherein the pan-identity model is trained based on multiple sample pan-identities and multiple sample knowledge points under each sample pan-identity, and the multiple sample pan-identities include the target pan-identity.
  • the artificial intelligence content generation AIGC generates the target authentication question based on the target knowledge point, including: determining a target presentation form suitable for presenting the target knowledge point based on the target pan-identity; and generating the target authentication question presented in the target presentation form based on the target knowledge point and the target presentation form through the AIGC.
  • the preset termination condition includes: the number of the first i authentication questions reaches a preset number; or the current total evaluation score of the answers to the first i authentication questions is lower than a preset score.
  • determining the pan-identity authentication result corresponding to the target user based on the target user's answer to the at least one authentication question includes: for each of the at least one authentication question, generating a confirmation question based on the answer corresponding to the authentication question, and inputting the confirmation question into a pan-identity model to obtain an answer evaluation corresponding to the authentication question, wherein the pan-identity model is trained based on multiple sample pan-identities and multiple sample knowledge points under each sample pan-identity, and the multiple sample pan-identities include the target pan-identity; and determining the pan-identity authentication result based on the answer evaluation corresponding to each of the at least one authentication question.
  • the determining the pan-identity authentication result based on the answer evaluation corresponding to each of the at least one authentication question includes: determining a total evaluation score based on the answer evaluation corresponding to each of the at least one authentication question; and determining the pan-identity authentication result based on the total evaluation score includes: determining that the total evaluation score is higher than a preset score, then determining that the pan-identity authentication result is that the target user has the target pan-identity, or determining that If the total evaluation score is lower than the preset score, then the pan-identity authentication result is determined to be that the target user does not have the target pan-identity.
  • the authentication question is presented in any one or more forms of text, image, video, and audio.
  • the present specification also provides a system for pan-identity authentication, comprising at least one storage medium storing at least one set of instruction sets for implementing pan-identity authentication; and at least one processor communicatively connected to the at least one storage medium, wherein when the pan-identity authentication system is running, the at least one processor reads the at least one instruction set and implements any one of the pan-identity authentication methods described in the first aspect.
  • the method and system for pan-identity authentication can determine at least one authentication question corresponding to the target pan-identity after receiving the pan-identity authentication request corresponding to the target user, and obtain the target user's answer to the at least one authentication question, thereby authenticating whether the target user has the target pan-identity based on the answer.
  • This specification implements effective authentication of pan-identity in the form of questions and answers, and improves the accuracy of authentication results.
  • the target user can only publish content related to the pan-identity that has been authenticated, thereby improving the quality of content publishing.
  • FIG1 shows a schematic diagram of a pan-identity authentication scenario provided according to some embodiments of this specification.
  • FIG. 2 shows a hardware structure diagram of a computing device provided according to some embodiments of the present specification.
  • FIG3 shows a flow chart of a method for universal identity authentication provided according to some embodiments of this specification.
  • FIG4 shows a schematic diagram of a user interface for entering pan-identity authentication according to some embodiments of this specification.
  • FIG5 shows a schematic diagram of a user interface for pan-identity authentication provided according to some embodiments of this specification.
  • FIG6 shows a schematic diagram of a user interface for pan-identity authentication provided according to some embodiments of this specification.
  • FIG. 7 shows a schematic diagram of a user interface for pan-identity authentication provided according to some embodiments of this specification.
  • FIG8 shows a schematic diagram of a user interface for pan-identity authentication provided according to some embodiments of this specification.
  • FIG9 shows a schematic diagram of a user interface for pan-identity authentication provided according to some embodiments of this specification.
  • FIG10 shows a schematic diagram of a user interface for pan-identity authentication provided according to some embodiments of this specification.
  • FIG. 11 shows a schematic diagram of an interface for passing a pan-identity authentication according to some embodiments of this specification.
  • FIG. 12 shows a schematic diagram of an interface showing a failure of pan-identity authentication according to some embodiments of this specification.
  • X includes at least one of A, B or C
  • X includes at least A, or X includes at least B, or X includes at least C. That is, X may include only any one of A, B, and C, or may include any combination of A, B, and C and other possible contents/elements at the same time.
  • the any combination of A, B, and C may be A, B, C, AB, AC, BC, or ABC.
  • association relationship between structures can be a direct association relationship or an indirect association relationship.
  • A when describing "A is connected to B", unless it is explicitly stated that A is directly connected to B, it should be understood that A can be directly connected to B or indirectly connected to B; for another example, when describing "A is above B", unless it is explicitly stated that A is directly above B (AB is adjacent and A is above B), it should be understood that A can be directly above B or indirectly above B (AB is separated by other elements and A is above B). And so on.
  • pan-identity When a user publishes content on the Internet, the user's pan-identity can be authenticated through the pan-identity authentication method provided in this manual. By authenticating the user's pan-identity, the reliability of the user's identity and the published content can be guaranteed.
  • the content can be text, graphics, audio, video, live broadcast, etc.
  • Pan-identity refers to an identity that meets the user's various activities on the Internet, such as content creation, sharing and promotion, and sharing of interests and hobbies. Pan-identity can also be understood as the domain identity of the field to which the main content posted by the user belongs.
  • the field may include: digital, home appliances, home furnishings, food, parenting, beauty and personal care, dressing, travel, automobiles, sports, finance, financial management, computer peripherals, play models, film and television, books, outdoor, photography, audio and video, daily necessities, pets, games, software, mobile phones, watches, stationery, health, medicine, etc.
  • Pan-identity for example, is a digital enthusiast, gourmet, food lover, food certification creator, dressing expert, traveler, financial expert, game expert, anchor, doctor, nurse, etc. It should be understood by those skilled in the art that the pan-identity can also be other types of identities, which are not listed one by one in this specification.
  • This specification does not limit the timing of pan-identity authentication.
  • Some content publishing platforms may have a large amount of user content before using the method in this specification. At this time, the content publishing platform can still use the method in this specification to perform pan-identity authentication on each user, but subsequent content creation and publishing can only be achieved after the pan-identity authentication is passed.
  • Some newly launched content publishing platforms can perform pan-identity authentication on each user when they first go online to ensure that the content published by each user is published after the pan-identity authentication is passed, thereby ensuring the high quality of the content from the source.
  • Fig. 1 shows a schematic diagram of a pan-identity authentication scenario 001 provided according to some embodiments of this specification.
  • the scenario 001 may include a target user 100 , a client 200 , a server 300 , and a network 400 .
  • the target user 100 may be any user who performs universal identity authentication.
  • the client 200 can display various pages for the target user 100 to view and trigger, thereby realizing human-computer interaction.
  • the trigger can be a click trigger, a voice trigger, an image trigger, etc.
  • the target user 100 can initiate a pan-identity authentication request on the client 200 by triggering the client 200.
  • the client 200 can collect image data of the target user 100, etc.
  • the image data is, for example, a face image, a fingerprint image, an iris image, a retina image, a hand shape image, etc.
  • the client 200 can also collect behavioral characteristics of the target user 100, such as sound characteristics, behavioral characteristics, gait characteristics, etc. It should be noted that the user data obtained in this specification is authorized by the user and does not involve user privacy.
  • the method of universal identity authentication can be executed on the client 200.
  • the client 200 can store data or instructions for executing the method of universal identity authentication described in this specification, and can execute or be used to execute the data or instructions.
  • the client 200 may include a hardware device with data information processing functions and the necessary programs required to drive the hardware device to work.
  • the client 200 can be communicatively connected to the server 300.
  • the server 300 can be communicatively connected to multiple clients 200.
  • the client 200 can interact with the server 300 through the network 400 to receive or send messages, etc., such as receiving or sending universal identity authentication requests and universal identity authentication results.
  • the client 200 may include a mobile device, a tablet computer, a laptop computer, a built-in device of a motor vehicle or the like, a vending machine, a vending cabinet, or any combination thereof.
  • the mobile device may include a smart home device, a smart mobile device, a virtual reality device, an augmented reality device or the like, or any combination thereof.
  • the smart home device may include a smart TV, a desktop computer, etc., or any combination thereof.
  • the intelligent mobile device may include a smart phone, a personal digital assistant, a gaming device, a navigation device, etc., or any combination thereof.
  • the virtual reality device or the augmented reality device may include a virtual reality helmet, virtual reality glasses, a virtual reality patch, an augmented reality helmet, augmented reality glasses, an augmented reality patch, or the like, or any combination thereof.
  • the virtual reality device or the augmented reality device may include Google Glass, a head-mounted display, VR, etc.
  • the built-in device in the motor vehicle may include an on-board computer, an on-board TV, etc.
  • the client 200 may include an image acquisition device for acquiring biological images, such as a facial image of the target user 100.
  • the image acquisition device may be a two-dimensional image acquisition device (such as an RGB camera), or a two-dimensional image acquisition device (such as an RGB camera) and a depth image acquisition device (such as a 3D structured light camera, a laser detector, etc.).
  • the client 200 may be a device with positioning technology for locating the position of the client 200.
  • the client 200 may have one or more of the following functions: NFC (Near Field Communication), WIFI (Wireless Fidelity), 3G/4G/5G, POS (Point Of Sale) card swiping function, QR code scanning function, barcode scanning function, Bluetooth, infrared, SMS (Short Message Service), MMS (Multimedia Message Service).
  • the client 200 may be installed with one or more application programs (APPs).
  • APPs application programs
  • the APP can provide the target user 100 with the ability and interface to interact with the outside world through the network 400.
  • the APP includes but is not limited to: web browser APP programs, search APP programs, chat APP programs, shopping APP programs, video APP programs, financial management APP programs, instant messaging tools, email clients, social platform software, etc.
  • a target APP may be installed on the client 200.
  • the target user 100 can trigger a pan-identity authentication request through the target APP.
  • the target APP can respond to the pan-identity authentication request and execute a pan-identity authentication method.
  • the server 300 may be a server that provides various services, such as a background server that provides support for the page displayed by the target APP on the client 200.
  • the method of universal identity authentication may be executed on the server 300.
  • the server 300 may store data or instructions for executing the method of universal identity authentication described in this specification, and may execute or be used to execute the data or instructions.
  • the server 300 may include a hardware device with a data information processing function and the necessary programs required to drive the hardware device to work.
  • the server 300 may be connected to multiple clients 200 for communication and receive data sent by the client 200.
  • the network 400 is a medium for providing a communication connection between the client 200 and the server 300.
  • the network 400 can facilitate the exchange of information or data.
  • the client 200 and the server 300 can be connected to the network 400 and transmit information or data to each other through the network 400.
  • the network 400 can be any type of wired or wireless network, or a combination thereof.
  • the network 400 can include a cable network, a wired network, a fiber optic network, a telecommunications network, an intranet, the Internet, a local area network (LAN), a wide area network (WAN), a wireless local area network (WLAN), a metropolitan area network (MAN), a wide area network (WAN), a public switched telephone network (PSTN), a Bluetooth network, a ZigBee network, a near field communication (NFC) network, or a similar network.
  • the network 400 can include one or more network access points.
  • the network 400 can include a wired or wireless network access point, such as a base station or an Internet exchange point, through which one or more components of the client 200 and the server 300 can be connected. To connect to the network 400 to exchange data or information.
  • clients 200, servers 300 and networks 400 in Fig. 1 is merely illustrative. Any number of clients 200, servers 300 and networks 400 may be provided according to implementation requirements.
  • the method of universal identity authentication may be completely executed on the client 200 , may be completely executed on the server 300 , or may be partially executed on the client 200 and partially executed on the server 300 .
  • FIG2 shows a hardware structure diagram of a computing device 600 provided according to some embodiments of the present specification.
  • the system for pan-identity authentication provided by the embodiments of the present specification may correspond to the computing device 600.
  • the computing device 600 may execute the method for pan-identity authentication described in the present specification.
  • the method for pan-identity authentication is introduced in other parts of the present specification.
  • the computing device 600 may be the client 200.
  • the computing device 600 may be the server 300.
  • the computing device 600 may be the server 300.
  • the method for pan-identity authentication may be partially executed on the client 200 and partially executed on the server 300, the computing device 600 may be either the client 200 or the server 300.
  • the computing device 600 may include at least one storage medium 630 and at least one processor 620.
  • the computing device 600 may further include a communication port 650 and an internal communication bus 610.
  • the computing device 600 may further include an I/O component 660.
  • the internal communication bus 610 may connect various system components, including the storage medium 630 , the processor 620 , and the communication port 650 .
  • I/O components 660 support input/output between computing device 600 and other components.
  • the communication port 650 is used for data communication between the computing device 600 and the outside world.
  • the communication port 650 can be used for data communication between the computing device 600 and the network 400.
  • the communication port 650 can be a wired communication port or a wireless communication port.
  • the storage medium 630 may include a data storage device.
  • the data storage device may be a non-temporary storage medium or a temporary storage medium.
  • the data storage device may include one or more of a disk 632, a read-only storage medium (ROM) 634, or a random access storage medium (RAM) 636.
  • the storage medium 630 may store at least one set of instruction sets for implementing pan-identity authentication.
  • the instruction is a computer program code, and the computer program code may include a program, a routine, an object, a component, a data structure, a process, a module, etc. for executing the method of pan-identity authentication provided in this specification.
  • the storage medium 630 may also store a pan-identity authentication model for implementing the method of pan-identity authentication.
  • the model may be one or more instruction sets for executing corresponding instructions stored in the storage medium 630, and executed by the processor 620 in the computing device 600.
  • the model may also be a part of the circuit, hardware device or module in the computing device 600.
  • At least one processor 620 can be connected to at least one storage medium 630 and a communication port 650 through an internal communication bus 610. At least one processor 620 is used to execute the at least one instruction set mentioned above. When the computing device 600 is running, at least one processor 620 can read the at least one instruction set and execute the method of universal identity authentication provided in this specification according to the instructions of the at least one instruction set. The processor 620 can execute all the steps included in the method of universal identity authentication.
  • the processor 620 can be in the form of one or more processors. In some embodiments, the processor 620 can include one or more hardware processors, such as a microcontroller, a microprocessor, a reduced instruction set computer, or a processor.
  • the invention may be a computer (RISC), an application specific integrated circuit (ASIC), an application specific instruction set processor (ASIP), a central processing unit (CPU), a graphics processing unit (GPU), a physical processing unit (PPU), a microcontroller unit, a digital signal processor (DSP), a field programmable gate array (FPGA), an advanced RISC machine (ARM), a programmable logic device (PLD), any circuit or processor capable of performing one or more functions, etc., or any combination thereof.
  • RISC computer
  • ASIC application specific integrated circuit
  • ASIP application specific instruction set processor
  • CPU central processing unit
  • GPU graphics processing unit
  • PPU physical processing unit
  • microcontroller unit a digital signal processor
  • DSP digital signal processor
  • FPGA field programmable gate array
  • ARM advanced RISC machine
  • PLD programmable logic device
  • the computing device 600 in this specification may also include multiple processors, and therefore, the operations and/or method steps disclosed in this specification may be performed by one processor as described in this specification, or may be performed jointly by multiple processors.
  • the processor 620 of the computing device 600 in this specification performs step A and step B, it should be understood that step A and step B may also be performed jointly or separately by two different processors 620 (for example, the first processor performs step A, the second processor performs step B, or the first and second processors perform steps A and B together).
  • the computing device can receive a pan-identity authentication request corresponding to the target user, determine at least one authentication question corresponding to the target pan-identity, and obtain the target user's answer to the at least one authentication question, and effectively authenticate whether the target user has the target pan-identity in the form of questions and answers.
  • This specification can perform pan-identity authentication on users before they create and publish content. Only after the authentication is passed can content be created and published, and the emergence of low-quality content can be avoided through pre-management.
  • the method of pan-identity authentication provided in this specification is described in detail below in conjunction with Figure 3.
  • FIG3 shows a flowchart of a method P100 for pan-identity authentication provided according to some embodiments of this specification.
  • the computing device 600 can execute the method P100 for pan-identity authentication described in this specification.
  • the processor 620 can read the instruction set stored in its local storage medium, and then execute the method P100 for pan-identity authentication described in this specification according to the provisions of the instruction set.
  • the method P100 can include steps S120 to S160.
  • S120 Receive a pan-identity authentication request corresponding to the target user 100, where the pan-identity authentication request is used to request authentication of whether the target user 100 has a target pan-identity.
  • the target pan-identity may be a domain identity corresponding to the target domain.
  • the target domain may be, for example, the food domain, the finance domain, the dressing domain, the beauty domain, the travel domain, the reading domain, the medical domain, etc. Accordingly, the target pan-identity may be, for example, a food lover, a financial expert, a dressing expert, a beauty expert, a traveler, a book recommender, a doctor, a nurse, etc.
  • Target user 100 can perform pan-identity authentication on various content publishing platforms. For example, if target user 100 wants to publish food videos on a food platform, such as store exploration videos and homemade dishes videos, he can authenticate the pan-identity "food lover” on the food platform. For example, if target user 100 wants to share financial management experience and publish financial management graphic content on a financial management platform, he can authenticate the pan-identity "financial management expert" on the financial management platform. For another example, The target user 100 hopes to spread some basic medical knowledge to the public on the medical platform, such as simple bandaging methods, how to physically reduce fever, etc., and can authenticate the pan-identity "doctor” or “nurse” on the medical platform.
  • FIG4 shows a user interface schematic diagram for entering pan-identity authentication according to some embodiments of this specification. As shown in FIG4, the target user 100 can trigger the option of "enter pan-identity authentication" to enter the pan-identity authentication process.
  • the pan-identity can be divided into a personal interest identity and a professional identity.
  • the professional identity can be an identity with a professional certificate in a certain field (such as a professional qualification certificate), such as a doctor, nurse, teacher, etc.
  • the personal interest identity is an identity that indicates a person is interested in affairs in a certain field and has certain abilities in that field, such as a food lover, a fashion expert, etc. Accordingly, the pan-identity authentication can be divided into personal interest identity authentication and professional identity authentication.
  • Figure 5 shows a user interface diagram of a pan-identity authentication provided according to some embodiments of the present specification.
  • the option of "personal interest identity authentication” can be triggered to select the personal interest identity authentication
  • the option of "professional identity authentication” can be triggered to select the professional identity authentication.
  • the client 200 may display a user interface for selecting a target pan-identity, and the user interface for selecting a target pan-identity may include a variety of pan-identity types for the target user 100 to select.
  • the user interface for selecting a target pan-identity corresponding to the professional identity authentication may include a variety of pan-identity types such as doctor, nurse, teacher, etc.
  • the user interface for selecting a target pan-identity corresponding to the personal interest identity authentication may include a variety of pan-identity types such as food lover, fashion expert, etc.
  • Figure 6 shows a schematic diagram of a user interface for selecting a target pan-identity provided according to some embodiments of the present specification, and Figure 6 is a user interface for selecting a target pan-identity corresponding to the personal interest identity authentication.
  • the target user 100 can trigger the option of confirming authentication to initiate the pan-identity authentication request, so that the client 200 can receive the pan-identity authentication request. As shown in FIG6 , the target user 100 can trigger the “confirm” option to initiate the pan-identity authentication request.
  • the credibility of the content published by users who have passed the professional identity authentication is higher, thereby improving the content quality of the content publishing platform. Even if there is no domain expertise certificate, the credibility of the content published by users who have passed the personal interest identity authentication is relatively high after strict authentication by the pan-identity authentication method provided in this specification, which can also improve the content quality of the content publishing platform.
  • the number of users who do not have domain expertise certificates is likely to be higher than the number of users who have domain expertise certificates. Therefore, providing users who do not have domain expertise certificates with the opportunity to authenticate their personal interests can improve the richness of content on the content publishing platform.
  • the pan-identity authentication may also include other types of authentication, for example, the pan-identity authentication may be divided into personal interest authentication, primary professional authentication, intermediate professional authentication, advanced professional authentication, etc. In some embodiments, the pan-identity authentication may not be divided into types, and this specification does not limit whether the pan-identity authentication is divided into types.
  • the computing device 600 may receive a pan-identity authentication request triggered by the target user 100 through the above user interface.
  • the client 200 can send a pan-identity authentication request to the computing device 600 , so that the computing device 600 receives the pan-identity authentication request from the client 200 .
  • S140 Determine at least one authentication question corresponding to the target pan-identity, and obtain an answer of the target user 100 to the at least one authentication question.
  • the type of the authentication question may match the type of the target pan-identity, for example, the authentication question may be a question asking about the knowledge of the target field. For example, if the target pan-identity is a food lover, the target user 100 may be asked an authentication question about the knowledge of the food field. For another example, if the target pan-identity is a doctor, the target user 100 may be asked an authentication question about the knowledge of the medical field, and so on.
  • the authentication question may be a question presented in any one or more presentation forms of text, image, video, and audio.
  • the computing device 600 can determine multiple authentication questions corresponding to the target pan-identity for the target user 100, and provide the multiple authentication questions to the target user 100 at the same time. In some embodiments, the computing device 600 can determine multiple authentication questions corresponding to the target pan-identity in sequence, and provide them to the target user 100 in sequence. The target user 100 can answer in sequence, and the computing device 600 can obtain all answers at the same time after the target user 100 finishes answering, or obtain an answer once each time the target user 100 answers an authentication question. The following mainly introduces the method in which the computing device 600 determines multiple authentication questions in sequence.
  • the computing device 600 can determine the first authentication question based on the target pan-identity and obtain the target user 100's answer to the first authentication question.
  • the first authentication question is "How to make mousse cake?" or "Please select the key ingredients of bread from the following images.”
  • FIG. 7 shows a user interface diagram of a pan-identity authentication provided according to some embodiments of this specification.
  • the target pan-identity is a food lover, as shown in FIG. 7 , the first authentication question is "Please select the key ingredients of bread from the following images.”
  • the computing device 600 may pre-set a preset question set for each type of pan-identity, and the preset question set includes at least one candidate question.
  • the preset question set may be a candidate library for the first authentication question, or a candidate library for other authentication questions.
  • the computing device 600 may obtain the preset question set corresponding to the target pan-identity, and then select a candidate question from the preset question set as the first authentication question.
  • the selection method may be random selection.
  • each candidate question in the preset question set may also be sorted according to importance.
  • it may select the most important candidate question from the preset question set. For example, if the first authentication question needs to be selected, the most important candidate question may be selected as the first authentication question.
  • the first authentication question is generated by the preset question set to improve the convenience of pan-identity authentication.
  • the computing device 600 may obtain at least one knowledge point corresponding to the target domain based on the target pan-identity, and select a target knowledge point from the at least one knowledge point. Furthermore, the computing device 600 may generate a target authentication question based on the target knowledge point through AIGC (AI Generated Content), and determine the target authentication question as the first authentication question.
  • AIGC AI Generated Content
  • the knowledge point may be generated by a pan-identity model.
  • the knowledge point may be a knowledge point in text form.
  • the pan-identity model may be a large model for authenticating a pan-identity.
  • a large model refers to a large model with a large number of parameters and a complex structure.
  • the large model can reach tens of billions of parameters and can process massive amounts of data, so the large model can be applied to process large-scale data and complex problems.
  • the computing device 600 or other devices can pre-train the pan-identity model. When other devices train the pan-identity model, the trained pan-identity model can be sent to the computing device 600. This article takes the training of the pan-identity model by the computing device 600 as an example for introduction.
  • the pan-identity model can be trained based on multiple sample pan-identities and multiple sample knowledge points under each sample pan-identity, and the multiple sample pan-identities include the target pan-identity.
  • the computing device 600 can set multiple knowledge points under the corresponding field for each sample pan-identity.
  • the field of food includes multiple knowledge points such as food tasting, food production methods, source history, taste, etc.
  • Each knowledge point may include multiple knowledge points.
  • food production methods include cake production methods, bread production methods, flour fermentation methods, the ratio of water to flour in bread, and so on.
  • the knowledge points can be collected by crawling.
  • the computing device 600 can train the pan-identity model with each sample pan-identity and its corresponding knowledge points, so that the trained pan-identity model has the ability to obtain knowledge points under each pan-identity.
  • pan-identity model can be quickly expanded.
  • the computing device 600 can continue to train the pan-identity model with the knowledge points of the new pan-identity, so that the pan-identity model can authenticate the new pan-identity. Therefore, the pan-identity model can continuously enrich the knowledge points, continuously expand the authentication features, and respond to the changes of the pan-identity at any time.
  • the computing device 600 can use the trained pan-identity model to determine the authentication problem.
  • the computing device 600 can input the target pan-identity into the pan-identity model to obtain at least one knowledge point corresponding to the target field.
  • the sentence pattern of the knowledge point can be any sentence pattern, such as a question, a declarative sentence, an interrogative sentence, etc.
  • the computing device 600 can randomly select a target knowledge point from the at least one knowledge point.
  • the computing device 600 can select the most important one as the target knowledge point according to the importance of at least one knowledge point.
  • the embodiments of this specification do not limit the method of selecting the target knowledge point.
  • the pan-identity model Since the pan-identity model has a large amount of knowledge in multiple fields, the knowledge points produced by the pan-identity model based on a strong knowledge background are more reasonable and accurate, which improves the accuracy of the first authentication problem, thereby improving the accuracy of the pan-identity authentication.
  • the target knowledge point can be a knowledge point in text form.
  • the computing device 600 can determine the target presentation form suitable for presenting the target knowledge point.
  • the computing device 600 can determine the target presentation form based on the target pan-identity. For example, the food knowledge points corresponding to food lovers are suitable for presentation in the form of pictures and/or videos, the fitness knowledge points corresponding to fitness experts are suitable for presentation in the form of videos, the financial knowledge points corresponding to financial experts are suitable for presentation in the form of text and/or images, and the photography knowledge points corresponding to photography enthusiasts are suitable for presentation in the form of images, etc.
  • the computing device 600 can determine the target presentation form based on the target knowledge point.
  • the knowledge points of bread making methods are suitable for presentation in the form of text
  • the knowledge points of different shapes of bread baked into shapes are suitable for presentation in the form of images
  • the knowledge points of fitness teaching are suitable for presentation in the form of videos
  • the knowledge points of fitness results are suitable for presentation in the form of images, etc.
  • a suitable target presentation form can be set for the target knowledge point, which can improve the efficiency of pan-identity authentication.
  • users can more easily It is easy to understand the knowledge points of shapes displayed in images, so it can perform pan-identity authentication more efficiently, thereby improving the efficiency of pan-identity authentication.
  • it can also enrich the forms of interaction with users and improve the user experience when authenticating pan-identity.
  • the computing device 600 can generate interactive topics through the AIGC for the target user 100 to answer.
  • the AIGC can obtain the target knowledge point and the target presentation form, generate a target authentication question presented in the target presentation form, and determine the target authentication question as the first authentication question.
  • the first authentication question "How to make mousse cake?” is presented in text
  • the first authentication question "Which image is the shape of alkaline bread baked?” is presented in text and pictures
  • the first authentication question “Is the fitness action in the video correct?” is presented in video and text.
  • the first authentication question "Please select the key ingredients of bread from the following images” is presented in text and pictures.
  • the target knowledge point can be the core sentence component of the target authentication question.
  • the target knowledge point is "the key ingredients of bread”
  • the target authentication question is "Please select the key ingredients of bread from the following images?".
  • the computing device 600 may not specify the target presentation form, but may input the target knowledge point into the AIGC, and the AIGC itself generates the target authentication question presented in the target presentation form.
  • the AIGC may determine a target question type suitable for presenting a target knowledge point, and present the first certification question with the target question type.
  • the target question type may include multiple-choice questions, fill-in-the-blank questions, application questions, true-or-false questions, short-answer questions, etc.
  • the computing device 600 may present the first certification question in a target presentation format and a target question type. As shown in FIG7 , the first certification question “Please select the key ingredients of bread from the following images” is presented in the form of a graphic and a multiple-choice question.
  • the AIGC can generate content with certain creativity and quality based on artificial intelligence technologies such as GAN (Generative Adversarial Networks) and large pre-trained models.
  • GAN Geneative Adversarial Networks
  • This manual can automatically generate high-quality target authentication questions that match the target knowledge points through AIGC, thereby improving the accuracy of pan-identity authentication.
  • the computing device 600 may execute the following steps in a loop until a preset end condition is reached: based on the target pan-identity, the i-1th authentication question, and at least one of the answers to the i-1th authentication question, generate the i-th authentication question, in which i is sequentially taken from integers greater than 1 in ascending order, and the answer of the target user 100 to the i-th authentication question is obtained.
  • the preset end condition may be that the number of the first i authentication questions reaches a preset number, or the ratio between the number of wrong answers in the answers to the first i authentication questions and i is less than a preset ratio, or the current total evaluation score of the answers to the first i authentication questions is lower than a preset score.
  • the preset end condition may also be other conditions, which are not limited in this specification.
  • the computing device 600 may determine at least one knowledge point corresponding to the target domain based on the target pan-identity, the i-1th authentication question, and at least one of the answers to the i-1th authentication question. Specifically, the computing device 600 may determine at least one knowledge point corresponding to the target domain based on the target pan-identity, the i-1th authentication question, and at least one of the answers to the i-1th authentication question through a pan-identity model. Furthermore, the computing device 600 may select a target knowledge point from the at least one knowledge point, generate a target authentication question based on the target knowledge point through the AIGC, and determine the target authentication question as the i-th authentication question. The selecting of the target knowledge point and the generating of the target authentication question based on the target knowledge point The method of solving the problem can refer to the previous description and will not be repeated here.
  • the pan-identity model can obtain the target pan-identity when generating subsequent authentication questions, and output at least one knowledge point based only on the target pan-identity.
  • the pan-identity model can quickly generate each authentication question based only on the target pan-identity, thereby improving the efficiency of pan-identity authentication.
  • FIG. 8 shows a schematic diagram of a user interface for pan-identity authentication provided according to some embodiments of the present specification.
  • the answer to the first authentication question in Figure 7 selects flour and water.
  • the second authentication question determined based on the answer to the first authentication question is "What is the general ratio of flour to water in bread?".
  • the pan-identity model can output at least one knowledge point for determining the i-th authentication question based on the i-1th authentication question. Furthermore, the AIGC can generate the i-th authentication question based on the selected target knowledge point.
  • Figures 9 and 10 respectively show schematic diagrams of the user interface for the pan-identity authentication provided according to some embodiments of the present specification. As shown in Figure 9, the third authentication question is "What is the first step in making bread?", and as shown in Figure 10, the fourth authentication question determined based on the third authentication question is "What is the second step in making bread?".
  • the computing device 600 may also generate the i-th authentication question in other ways, for example, determining the i-th authentication question based on the aforementioned preset question set, such as selecting one from the preset question set as the i-th authentication question.
  • S160 Determine a pan-identity authentication result corresponding to the target user 100 based on the answer of the target user 100 to the at least one authentication question.
  • the computing device 600 can determine the answer evaluation of each answer, and determine the pan-identity authentication result corresponding to the target user 100 based on the answer evaluation of each answer. In some embodiments, for each authentication question in the at least one authentication question, the computing device 600 can generate a confirmation question based on the answer corresponding to the authentication question, and input the confirmation question into the pan-identity model to obtain the answer evaluation corresponding to the authentication question. It should be noted that the aforementioned computing device 600 inputting the answer corresponding to the i-1th authentication question into the pan-identity model may mean that the computing device 600 inputs the confirmation question corresponding to the answer into the pan-identity model.
  • the confirmation question can be used to request the pan-identity model to give an answer evaluation.
  • the confirmation question can be a question sentence generated based on the answer, such as "Are the key ingredients of bread flour and water?", "Is the ratio of flour to water in bread generally 5:3?", "How is the quality of this answer?", etc.
  • the confirmation question can be a declarative sentence generated based on the answer, such as "Please rate this answer", "Please evaluate this answer", etc.
  • the embodiments of this specification do not limit the sentence structure of the confirmation question.
  • the answer evaluation may be a score given to the answer.
  • the score range is, for example, 1-10 points or 0-100 points, etc.
  • the answer evaluation of "whip the whipped cream until it is foamy, add some syrup, put it into a piping bag and freeze it, and squeeze it on a glass cup” is 60 points.
  • the answer evaluation may be a quality level.
  • the quality level includes, for example, four levels: “incorrect”, “poor”, “average”, and "good”.
  • the pan-identity model may first give a score for each answer, and determine the quality level corresponding to the score based on the correspondence between the score and the quality level.
  • the score and the quality level is, for example, “incorrect” for 0-20 points, “poor” for 20-40 points, “average” for 40-60 points, and “good” for more than 60 points.
  • the answer evaluation may be the score and the quality level, that is, one answer may correspond to two types of answer evaluations.
  • the computing device 600 may determine the pan-identity authentication result based on the answer evaluation corresponding to each of the at least one authentication question.
  • the computing device 600 may determine the total evaluation score based on the answer evaluation corresponding to each of the at least one authentication question.
  • the total evaluation score may be the sum or average of the scores of each answer of the target user 100, and the embodiment of this specification does not limit the method for determining the total evaluation score.
  • the computing device 600 may determine the pan-identity authentication result based on the total evaluation score. For example, when the total evaluation score is higher than the preset score, the pan-identity authentication result is determined to be that the target user 100 has the target pan-identity. When the total evaluation score is lower than the preset score, the pan-identity authentication result is determined to be that the target user 100 does not have the target pan-identity.
  • the computing device 600 can determine the total number of target quality levels from the answer evaluations corresponding to each of the at least one authentication question, and determine the pan-identity authentication result based on the total number of target quality levels. For example, when the total number of target quality levels is higher than a preset threshold, the pan-identity authentication result is determined to be that the target user 100 has the target pan-identity. When the total number of target quality levels is lower than a preset threshold, the pan-identity authentication result is determined to be that the target user 100 does not have the target pan-identity.
  • the target quality level is, for example, "good".
  • the computing device 600 can determine the total evaluation score and the total number of the target quality levels based on the answer evaluation corresponding to each of the at least one authentication question, and jointly determine the pan-identity authentication result based on the total evaluation score and the total number of the target quality levels. For example, when the total evaluation score is higher than the preset score and the total number of the target quality levels is higher than the preset threshold, the pan-identity authentication result is determined to be that the target user 100 has the target pan-identity. When the total evaluation score is lower than the preset score and the total number of the target quality levels is lower than the preset threshold, the pan-identity authentication result is determined to be that the target user 100 does not have the target pan-identity.
  • the pan-identity authentication result can be displayed through the interactive interface.
  • a schematic diagram of a pan-identity authentication interface is provided. As shown in FIG. 11, when the target user 100 passes the authentication, “Congratulations, you passed the authentication!” is displayed.
  • FIG. 12 shows a schematic diagram of a pan-identity authentication interface that fails according to some embodiments of the present specification. As shown in FIG. 12, when the target user 100 fails the authentication, “Sorry, you failed the authentication!” is displayed.
  • the computing device 600 when the computing device 600 is a server 300, after obtaining the pan-identity authentication result, the computing device 600 can send the pan-identity authentication result to the client 200, so that the client 200 can display the pan-identity authentication result to the target user through an interactive interface.
  • the target pan-identity authentication of the target user 100 can be passed, the target pan-identity can be displayed as an account label next to the target account used by the target user 100 to publish content. Other users who browse the content published by the target user 100 can view the target pan-identity, which helps the other users understand the quality of the content published by the target user 100.
  • pan-identity authentication of users. Faced with various pan-identities, if manual authentication is used, the person in charge of authentication needs to have knowledge in various fields. Therefore, manual authentication is relatively difficult. This manual adopts a pan-identity identification method based on a large model and AIGC.
  • a large model is used to achieve effective authentication, and the large model can also continuously expand the knowledge points of new pan-identities to adapt to the development of the times; on the other hand, through the automatic generation strategy of AIGC, a variety of interactive presentation forms can be used to test and verify the pan-identity of users on the Internet. Users who pass the authentication method of this manual can produce high-quality content and enhance the competitiveness of users themselves and content publishing platforms.
  • the computing device 600 can determine at least one authentication question corresponding to the target pan-identity, and obtain the target user's answer to the at least one authentication question, thereby authenticating whether the target user has the target pan-identity based on the answer.
  • This specification implements effective authentication of the pan-identity in the form of questions and answers, and improves the accuracy of the authentication results.
  • the target user can only publish content related to the pan-identity that has been authenticated, thereby improving the quality of content publishing.
  • the present specification provides a non-transitory storage medium storing at least one set of executable instructions for performing pan-identity authentication.
  • the executable instructions When the executable instructions are executed by the processor, the executable instructions instruct the processor to implement the steps of the pan-identity authentication method P100 described in the present specification.
  • various aspects of the present specification can also be implemented in the form of a program product, which includes a program code.
  • the program code When the program product is run on a pan-identity authentication system, the program code is used to enable the pan-identity authentication system to execute the steps of the pan-identity authentication method P100 described in the present specification.
  • the program product for implementing the above method can use a portable compact disk read-only memory (CD-ROM) to include program code and can be run on a pan-identity authentication system.
  • CD-ROM portable compact disk read-only memory
  • the program product of the present specification is not limited to this.
  • the readable storage medium can be any tangible medium containing or storing a program, which can be used by the instruction execution system or used in combination with it.
  • the program product can use any combination of one or more readable media.
  • the readable medium can be a readable signal medium or a readable storage medium.
  • the readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof.
  • readable storage media include: an electrical connection with one or more conductors, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.
  • the computer-readable storage medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof.
  • the readable storage medium may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, device, or device.
  • the program code contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination thereof.
  • Program code for performing the operations of this specification may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., and conventional procedural programming languages such as "C" or similar programming languages.
  • the program code may be executed entirely on the pan-identity-authenticated system, partially on the pan-identity-authenticated system, as a stand-alone software package, partially on the pan-identity-authenticated system and partially on a remote computing device, or entirely on a remote computing device.

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Abstract

本说明书提供的泛身份认证的方法和系统，计算设备在接收到目标用户对应的泛身份认证请求后，可以确定与目标泛身份对应的至少一个认证问题，并获得目标用户对该至少一个认证问题的回答，从而基于该回答来认证目标用户是否具有目标泛身份，本说明书通过问答的形式实现了泛身份的有效认证，提升了认证结果的准确性。进一步的，目标用户只能发布其认证通过的泛身份相关的内容，从而能够提升内容发布的质量。

Description

泛身份认证的方法和系统 技术领域
本说明书涉及身份认证领域，尤其涉及一种泛身份认证的方法和系统。
背景技术
近年来互联网内容产业在快速发展，从传统的图文到音视频再到目前流行的直播。随着在线内容创作工具和内容分享平台的完善与发展，内容创作的成本和门槛进一步降低，每个用户都能低成本地分享内容。然而，内容创作门槛和成本的降低容易出现内容质量差、不负责任的情况。比如，对于一个并不具有美食领域知识的用户，其发布的美食相关的内容大概率是不够专业的甚至是错误的。因此，这些用户发布的美食相关的内容容易对其他用户造成误导。
因此，需要一种泛身份认证的方法和系统，能够对用户进行泛身份认证，使得用户只能发布其认证通过的泛身份相关的内容，从而提升用户所发布内容的质量。
背景技术部分的内容仅仅是发明人个人所知晓的信息，并不代表上述信息在本公开申请日之前已经进入公共领域，也不代表其可以成为本公开的现有技术。
发明内容
本说明书提供的泛身份认证的方法和系统，能够对进行某领域内容分享的用户进行泛身份的有效认证。
第一方面，本说明书提供一种泛身份认证的方法，应用于计算设备，包括：接收目标用户对应的泛身份认证请求，所述泛身份认证请求用于请求认证所述目标用户是否具有目标泛身份；确定与所述目标泛身份对应的至少一个认证问题，并获得所述目标用户对所述至少一个认证问题的回答；以及基于所述目标用户对所述至少一个认证问题的回答，确定所述目标用户对应的泛身份认证结果。
在一些实施例中，所述目标泛身份包括目标领域对应的领域身份，所述认证问题包括询问所述目标领域的知识的问题。
在一些实施例中，所述确定与所述目标泛身份对应的至少一个认证问题，并获得所述目标用户对所述至少一个认证问题的回答，包括：基于所述目标泛身份确定第1个认证问题，并获得所述目标用户对所述第1个认证问题的回答；以及循环执行如下步骤直至预设结束条件：基于所述目标泛身份、第i-1个认证问题、以及所述第i-1个认证问题对应的回答中的至少一项，生成第i个认证问题，在所述循环执行的过程中，所述i在大于1的整数中按照从小到大的顺序依次取值，以及获得所述目标用户对所述第i个认证问题的回答。
在一些实施例中，所述基于所述目标泛身份确定第1个认证问题，包括：获得所述目标泛身份对应的预设问题集，所述预设问题集中包括至少一个候选问题；以及从所述预设问题集中选取一个候选问题作为所述第1个认证问题。
在一些实施例中，所述基于所述目标泛身份确定第1个认证问题，包括：基于所述 目标泛身份，获得所述目标领域对应的至少一个知识点；从所述至少一个知识点中选取目标知识点；以及通过人工智能生成内容AIGC基于所述目标知识点生成目标认证问题，并将所述目标认证问题确定为所述第1个认证问题。
在一些实施例中，所述基于所述目标泛身份，获得所述目标领域对应的至少一个知识点，包括：将所述目标泛身份输入泛身份模型以获得所述目标领域对应的至少一个知识点，所述泛身份模型是根据多种样本泛身份以及每种样本泛身份下的多个样本知识点训练得到的，所述多种样本泛身份包括所述目标泛身份。
在一些实施例中，所述基于所述目标泛身份、第i-1个认证问题、以及所述第i-1个认证问题对应的回答中的至少一项，生成第i个认证问题，包括：基于所述目标泛身份、所述第i-1个认证问题、以及所述第i-1个认证问题对应的回答中的至少一项，确定所述目标领域对应的至少一个知识点；从所述至少一个知识点中选取目标知识点；以及通过人工智能生成内容AIGC基于所述目标知识点生成目标认证问题，并将所述目标认证问题确定为所述第i个认证问题。
在一些实施例中，所述基于所述目标泛身份、第i-1个认证问题、以及所述第i-1个认证问题对应的回答中的至少一项，确定所述目标领域对应的至少一个知识点，包括：通过泛身份模型基于所述目标泛身份、所述第i-1个认证问题、以及所述第i-1个认证问题对应的回答中的至少一项，确定所述目标领域对应的至少一个知识点，所述泛身份模型是根据多种样本泛身份以及每种样本泛身份下的多个样本知识点训练得到的，所述多种样本泛身份包括所述目标泛身份。
在一些实施例中，所述通过人工智能生成内容AIGC基于所述目标知识点生成所述目标认证问题，包括：基于所述目标泛身份确定适于呈现所述目标知识点的目标呈现形式；以及通过所述AIGC基于所述目标知识点和所述目标呈现形式，生成以所述目标呈现形式呈现的所述目标认证问题。
在一些实施例中，所述预设结束条件包括：前i个认证问题的数量达到预设数量；或者所述前i个认证问题的回答的当前评价总分低于预设分值。
在一些实施例中，所述基于所述目标用户对所述至少一个认证问题的回答，确定所述目标用户对应的泛身份认证结果，包括：针对所述至少一个认证问题中的每个认证问题，基于所述认证问题对应的回答生成确认问题，并将所述确认问题输入泛身份模型以获得所述认证问题对应的回答评价，其中，所述泛身份模型是根据多种样本泛身份以及每种样本泛身份下的多个样本知识点训练得到的，所述多种样本泛身份包括所述目标泛身份；以及基于所述至少一个认证问题各自对应的所述回答评价确定所述泛身份认证结果。
在一些实施例中，所述基于所述至少一个认证问题各自对应的所述回答评价确定所述泛身份认证结果，包括：基于所述至少一个认证问题各自对应的所述回答评价确定评价总分；以及基于所述评价总分确定所述泛身份认证结果，包括：确定所述评价总分高于预设分值，则确定所述泛身份认证结果为所述目标用户具有所述目标泛身份，或者确 定所述评价总分低于所述预设分值，则确定所述泛身份认证结果为所述目标用户不具有所述目标泛身份。
在一些实施例中，所述认证问题是以文本、图像、视频、音频中的任意一种或多种呈现形式呈现的问题。
第二方面，本说明书还提供一种泛身份认证的系统，包括至少一个存储介质，存储有至少一组指令集用于实现泛身份认证；以及至少一个处理器，同所述至少一个存储介质通信连接，其中当所述泛身份认证的系统运行时，所述至少一个处理器读取所述至少一个指令集并实施第一方面中任一项所述泛身份认证的方法。
由以上技术方案可知，本说明书提供的泛身份认证的方法和系统，计算设备在接收到目标用户对应的泛身份认证请求后，可以确定与目标泛身份对应的至少一个认证问题，并获得目标用户对该至少一个认证问题的回答，从而基于该回答来认证目标用户是否具有目标泛身份，本说明书通过问答的形式实现了泛身份的有效认证，提升了认证结果的准确性。进一步的，目标用户只能发布其认证通过的泛身份相关的内容，从而能够提升内容发布的质量。
本说明书提供的泛身份认证的方法和系统的其他功能将在以下说明中部分列出。根据描述，以下数字和示例介绍的内容将对那些本领域的普通技术人员显而易见。本说明书提供的泛身份认证的方法和系统的创造性方面可以通过实践或使用下面详细示例中所述的方法、装置和组合得到充分解释。
附图说明
为了更清楚地说明本说明书实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本说明书的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1示出了根据本说明书的一些实施例提供的一种泛身份认证场景的示意图。
图2示出了根据本说明书的一些实施例提供的一种计算设备的硬件结构图。
图3示出了根据本说明书的一些实施例提供的一种泛身份认证的方法的流程图。
图4示出了根据本说明书的一些实施例提供的一种进入泛身份认证的用户界面示意图。
图5示出了根据本说明书的一些实施例提供的一种泛身份认证的用户界面示意图。
图6示出了根据本说明书的一些实施例提供的一种泛身份认证的用户界面示意图。
图7示出了根据本说明书的一些实施例提供的一种泛身份认证的用户界面示意图。
图8示出了根据本说明书的一些实施例提供的一种泛身份认证的用户界面示意图。
图9示出了根据本说明书的一些实施例提供的一种泛身份认证的用户界面示意图。
图10示出了根据本说明书的一些实施例提供的一种泛身份认证的用户界面示意图。
图11示出了根据本说明书的一些实施例提供的一种泛身份认证通过的界面示意图。
图12示出了根据本说明书的一些实施例提供的一种泛身份认证未通过的界面示意图。
具体实施方式
以下描述提供了本说明书的特定应用场景和要求，目的是使本领域技术人员能够制造和使用本说明书中的内容。对于本领域技术人员来说，对所公开的实施例的各种局部修改是显而易见的，并且在不脱离本说明书的精神和范围的情况下，可以将这里定义的一般原理应用于其他实施例和应用。因此，本说明书不限于所示的实施例，而是与权利要求一致的最宽范围。
这里使用的术语仅用于描述特定示例实施例的目的，而不是限制性的。比如，除非上下文另有明确说明，这里所使用的，单数形式“一”，“一个”和“该”也可以包括复数形式。当在本说明书中使用时，术语“包括”、“包含”和/或“含有”意思是指所关联的整数，步骤、操作、元素和/或组件存在，但不排除一个或多个其他特征、整数、步骤、操作、元素、组件和/或组的存在或在该系统/方法中可以添加其他特征、整数、步骤、操作、元素、组件和/或组。
考虑到以下描述，本说明书的这些特征和其他特征、以及结构的相关元件的操作和功能、以及部件的组合和制造的经济性可以得到明显提高。参考附图，所有这些形成本说明书的一部分。然而，应该清楚地理解，附图仅用于说明和描述的目的，并不旨在限制本说明书的范围。还应理解，附图未按比例绘制。
本说明书中使用的流程图示出了根据本说明书中的一些实施例的系统实现的操作。应该清楚地理解，流程图的操作可以不按顺序实现。相反，操作可以以反转顺序或同时实现。此外，可以向流程图添加一个或多个其他操作。可以从流程图中移除一个或多个操作。
在本说明书中，“X包括A、B或C中的至少一个”所表达的意思是X至少包括A，或X至少包括B，或X至少包括C。也就是说，X可以只包括A、B、C的任意一个，或者同时包括A、B、C的任意组合以及其他可能的内容/元素。所述A、B、C的任意组合可以是A、B、C、AB、AC、BC、或ABC。
在本说明书中，除非明确说明，否则结构之间产生的关联关系可以是直接的关联关系也可以是间接的关联关系。比如，当描述“A与B连接”时，除非明确说明了A与B直接连接，否则应当理解成A可以与B直接连接，也可以与B间接地连接；再比如，当描述“A在B之上”时，除非明确说明了A直接在B的上方(AB相邻且A在B的上方)，否则应当理解成A可以直接在B的上方，A也可以间接地在B之上(AB之间隔着其他元素，且A在B的上方)。以此类推。
在对本说明书具体实施例说明之前，先对本说明书的应用场景进行如下介绍：
当用户在互联网发布内容时，都可以通过本说明书提供的泛身份认证的方法对用户的泛身份进行认证，通过对用户泛身份的认证，可以保证用户身份和发布内容的可靠性。 其中，所述内容可以是文本、图文、音频、视频、直播等。泛身份是指符合用户在互联网中进行各种活动的身份，比如进行内容创作、分享推广、兴趣爱好传播分享的身份。泛身份也可以理解为用户发布的主要内容所属领域的领域身份，该领域可以包括：数码、家电、家居、美食、育儿、美妆个护、穿搭、旅游、汽车、运动、金融、理财、电脑外设、玩模、影视、图书、户外、摄影、影音、日百、宠物、游戏、软件、手机、腕表、文具、健康、医学，等等。泛身份比如为数码发烧友、美食家、美食爱好者、美食认证创作者、穿搭达人、旅行家、理财达人、游戏达人、主播、医生、护士，等等。本领域技术人员应当理解的是，所述泛身份还可以是其他类型的身份，本说明书对此不做一一列举。
本说明书对泛身份认证的时机不做限定。一些内容发布平台在利用本说明书方法之前可能存在大量的用户内容，此时，该内容发布平台仍然可以利用本说明书方法对各个用户进行泛身份认证，但后续的内容创作和发布可以是在泛身份认证通过后才能实现。一些新上线的内容发布平台可以在刚开始上线时就对每个用户进行泛身份认证，保证每个用户发布的内容都是在泛身份认证通过之后发布的，从而从源头上保证内容的高质量。
图1示出了根据本说明书的一些实施例提供的一种泛身份认证场景001的示意图。如图1所示，所述场景001可以包括目标用户100、客户端200、服务器300以及网络400。
目标用户100可以是任意一个进行泛身份认证的用户。
客户端200可以显示各种页面供目标用户100查看、触发，从而实现人机交互。所述触发可以是点击触发、语音触发、图像触发等等。目标用户100可以通过触发客户端200从而在客户端200上发起泛身份认证请求。客户端200可以采集目标用户100的图像数据等。所述图像数据比如为人脸图像、指纹图像、虹膜图像、视网膜图像、手型图像等。客户端200还可以采集目标用户100的行为特征，比如，声音特征、行为特征、步态特征等等。需要说明的是，本说明书获取到的用户数据经过用户授权，不涉及用户隐私。
在一些实施例中，所述泛身份认证的方法可以在客户端200上执行。此时，客户端200可以存储有执行本说明书描述的泛身份认证的方法的数据或指令，并可以执行或用于执行所述数据或指令。在一些实施例中，客户端200可以包括具有数据信息处理功能的硬件设备和驱动该硬件设备工作所需必要的程序。如图1所示，客户端200可以与服务器300进行通信连接。在一些实施例中，服务器300可以与多个客户端200进行通信连接。在一些实施例中，客户端200可以通过网络400与服务器300交互，以接收或发送消息等，比如接收或发送泛身份认证请求和泛身份认证结果。在一些实施例中，客户端200可以包括移动设备、平板电脑、笔记本电脑、机动车辆的内置设备或类似内容、售货机、售货柜，或其任意组合。在一些实施例中，所述移动设备可包括智能家居设备、智能移动设备、虚拟现实设备、增强现实设备或类似设备，或其任意组合。在一些实施例中，所述智能家居装置可包括智能电视、台式电脑等，或任意组合。在一些实施例中， 所述智能移动设备可包括智能手机、个人数字辅助、游戏设备、导航设备等，或其任意组合。在一些实施例中，所述虚拟现实设备或增强现实设备可能包括虚拟现实头盔、虚拟现实眼镜、虚拟现实补丁、增强现实头盔、增强现实眼镜、增强现实补丁或类似内容，或其中的任何组合。例如，所述虚拟现实设备或所述增强现实设备可能包括谷歌眼镜、头戴式显示器、VR等。在一些实施例中，所述机动车中的内置装置可包括车载计算机、车载电视等。在一些实施例中，客户端200可以包括图像采集设备，用于采集生物图像，比如目标用户100的人脸图像。在一些实施例中，所述图像采集设备可以是二维图像采集设备(比如RGB摄像头)，也可以是二维图像采集设备(比如RGB摄像头)和深度图像采集设备(比如3D结构光摄像头、激光探测器，等等)。在一些实施例中，客户端200可以是具有定位技术的设备，用于定位客户端200的位置。在一些实施例中，客户端200可以具有如下一种或多种功能：NFC(Near Field Communication，近场通信)、WIFI(Wireless Fidelity，无线保真)、3G/4G/5G、POS(Point Of Sale，销售终端)机刷卡功能、二维码扫码功能、条形码扫码功能、蓝牙、红外、SMS(Short Message Service)、MMS(Multimedia Message Service，多媒体消息)。
在一些实施例中，客户端200可以安装有一个或多个应用程序(APP)。所述APP能够为目标用户100提供通过网络400同外界交互的能力以及界面。所述APP包括但不限于：网页浏览器类APP程序、搜索类APP程序、聊天类APP程序、购物类APP程序、视频类APP程序、理财类APP程序、即时通信工具、邮箱客户端、社交平台软件等等。在一些实施例中，客户端200上可以安装有目标APP。在一些实施例中，目标用户100可以通过所述目标APP触发泛身份认证请求。所述目标APP可以响应于所述泛身份认证请求，执行泛身份认证的方法。
服务器300可以是提供各种服务的服务器，例如对客户端200上的目标APP显示的页面提供支持的后台服务器。在一些实施例中，所述泛身份认证的方法可以在服务器300上执行。此时，服务器300可以存储有执行本说明书描述的泛身份认证的方法的数据或指令，并可以执行或用于执行所述数据或指令。在一些实施例中，服务器300可以包括具有数据信息处理功能的硬件设备和驱动该硬件设备工作所需必要的程序。服务器300可以与多个客户端200通信连接，并接收客户端200发送的数据。
网络400用以在客户端200和服务器300之间提供通信连接的介质。网络400可以促进信息或数据的交换。如图1所示，客户端200和服务器300可以同网络400连接，并且通过网络400互相传输信息或数据。在一些实施例中，网络400可以是任何类型的有线或无线网络，也可以是其组合。比如，网络400可以包括电缆网络，有线网络、光纤网络、电信通信网络、内联网、互联网、局域网(LAN)、广域网(WAN)、无线局域网(WLAN)、大都市市区网(MAN)、广域网(WAN)、公用电话交换网(PSTN)、蓝牙网络、ZigBee网络、近场通信(NFC)网络或类似网络。在一些实施例中，网络400可以包括一个或多个网络接入点。例如，网络400可以包括有线或无线网络接入点，如基站或互联网交换点，通过该接入点，客户端200和服务器300的一个或多个组件可 以连接到网络400以交换数据或信息。
应该理解，图1中的客户端200、服务器300和网络400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客户端200、服务器300和网络400。
需要说明的是，所述泛身份认证的方法可以完全在客户端200上执行，也可以完全在服务器300上执行，还可以部分在客户端200上执行，部分在服务器300上执行。
图2示出了根据本说明书的一些实施例提供的一种计算设备600的硬件结构图。本说明书的实施例提供的泛身份认证的系统可以对应于计算设备600。计算设备600可以执行本说明书描述的泛身份认证的方法。所述泛身份认证的方法在本说明书中的其他部分介绍。当所述泛身份认证的方法在客户端200上执行时，计算设备600可以是客户端200。当所述泛身份认证的方法在服务器300上执行时，计算设备600可以是服务器300。当所述泛身份认证的方法可以部分在客户端200上执行，部分在服务器300上执行时，计算设备600既可以是客户端200，也可以是服务器300。
如图2所示，计算设备600可以包括至少一个存储介质630和至少一个处理器620。在一些实施例中，计算设备600还可以包括通信端口650和内部通信总线610。同时，计算设备600还可以包括I/O组件660。
内部通信总线610可以连接不同的系统组件，包括存储介质630、处理器620和通信端口650。
I/O组件660支持计算设备600和其他组件之间的输入/输出。
通信端口650用于计算设备600同外界的数据通信，比如，通信端口650可以用于计算设备600同网络400之间的数据通信。通信端口650可以是有线通信端口也可以是无线通信端口。
存储介质630可以包括数据存储装置。所述数据存储装置可以是非暂时性存储介质，也可以是暂时性存储介质。比如，所述数据存储装置可以包括磁盘632、只读存储介质(ROM)634或随机存取存储介质(RAM)636中的一种或多种。存储介质630可以存储有至少一组指令集用于实现泛身份认证。所述指令是计算机程序代码，所述计算机程序代码可以包括执行本说明书提供的泛身份认证的方法的程序、例程、对象、组件、数据结构、过程、模块等等。所述存储介质630还可以存储有泛身份认证模型用于实现泛身份认证的方法。此时，所述模型可以是存储在所述存储介质630中的一个或者多个执行对应指令的指令集，并且由计算设备600中的处理器620来执行。当然，所述模型也可以是计算设备600中的一部分电路、硬件设备或者模组。
至少一个处理器620可以同至少一个存储介质630以及通信端口650通过内部通信总线610通信连接。至少一个处理器620用以执行上述至少一个指令集。当计算设备600运行时，至少一个处理器620可以读取所述至少一个指令集，并且根据所述至少一个指令集的指示，执行本说明书提供的泛身份认证的方法。处理器620可以执行泛身份认证的方法包含的所有步骤。处理器620可以是一个或多个处理器的形式，在一些实施例中，处理器620可以包括一个或多个硬件处理器，例如微控制器，微处理器，精简指令集计 算机(RISC)，专用集成电路(ASIC)，特定于应用的指令集处理器(ASIP)，中心处理单元(CPU)，图形处理单元(GPU)，物理处理单元(PPU)，微控制器单元，数字信号处理器(DSP)，现场可编程门阵列(FPGA)，高级RISC机器(ARM)，可编程逻辑器件(PLD)，能够执行一个或多个功能的任何电路或处理器等，或其任何组合。仅仅为了说明问题，在本说明书中计算设备600中仅描述了一个处理器620。然而，应当注意，本说明书中计算设备600还可以包括多个处理器，因此，本说明书中披露的操作和/或方法步骤可以如本说明书所述的由一个处理器执行，也可以由多个处理器联合执行。例如，如果在本说明书中计算设备600的处理器620执行步骤A和步骤B，则应该理解，步骤A和步骤B也可以由两个不同处理器620联合或分开执行(例如，第一处理器执行步骤A，第二处理器执行步骤B，或者第一和第二处理器共同执行步骤A和B)。
随着内容创作门槛和成本的降低，互联网上涌现了大量参差不齐、质量低下甚至低俗、容易误导大众的内容。为了提升用户发布内容的准确性和可靠性，目前各大内容发布平台通常通过在用户创作内容的过程中提示敏感字词、内容创作完成之后进行内容审核、和/或在发布内容之后进行下架等事后管理的方式来过滤质量低下的内容，效率低下。
而本说明书提供的泛身份认证的方法中，计算设备可以接收目标用户对应的泛身份认证请求，确定与目标泛身份对应的至少一个认证问题，并获得目标用户对该至少一个认证问题的回答，通过问答的形式有效认证目标用户是否具有目标泛身份。本说明书可以在用户创作及发布内容之前就对用户进行泛身份认证，只有在认证通过后才能创作及发布内容，通过事前管理的方式避免低质量内容的出现。下面结合图3对本说明书提供的泛身份认证的方法进行详细说明。
图3示出了根据本说明书的一些实施例提供的一种泛身份认证的方法P100的流程图。如前所述，计算设备600可以执行本说明书所述的泛身份认证的方法P100。具体地，处理器620可以读取存储在其本地存储介质中的指令集，然后根据所述指令集的规定，执行本说明书所述的泛身份认证的方法P100。如图3所示，所述方法P100可以包括步骤S120至S160。
S120：接收目标用户100对应的泛身份认证请求，所述泛身份认证请求用于请求认证所述目标用户100是否具有目标泛身份。
所述目标泛身份可以是目标领域对应的领域身份。所述目标领域比如为美食领域、金融领域、穿搭领域、美妆领域、旅行领域、读书领域、医学领域，等等。相应地，目标泛身份比如为美食爱好者、理财大牛、穿搭达人、美妆达人、旅行家、书籍推荐者、医生、护士，等等。
目标用户100可以在各种内容发布平台上进行泛身份认证。比如，目标用户100希望在美食类平台上发布美食类视频，如探店视频、自制菜肴视频等，则可以在该美食类平台中认证泛身份“美食爱好者”。比如，目标用户100希望在理财类平台上分享理财经验，发布理财类图文内容，则可以在理财类平台上认证泛身份“理财大牛”。再比如， 目标用户100希望在医学类平台上向公众传播一些基础的医学知识，如简单包扎的方法、发烧后如何物理降温等，可以在该医学类平台上认证泛身份“医生”或者“护士”。图4示出了根据本说明书的一些实施例提供的一种进入泛身份认证的用户界面示意图。如图4所示，目标用户100可以触发“进入泛身份认证”的选项从而进入泛身份认证的流程。
在一些实施例中，所述泛身份可以分为个人兴趣身份和职业身份。所述职业身份可以是具备某领域的专业证明(如职业资格证)的身份，比如，医生、护士、教师等。所述个人兴趣身份是个人对某领域事务感兴趣且具备该领域一定能力的身份，比如，美食爱好者、穿搭达人等。相应地，所述泛身份认证可以分为个人兴趣身份认证和职业身份认证。图5示出了根据本说明书的一些实施例提供的一种泛身份认证的用户界面示意图。如图5所示，目标用户100选择泛身份认证的认证类型，可以触发“个人兴趣身份认证”的选项以选择个人兴趣身份认证，也可以触发“职业身份认证”的选项以选择职业身份认证。
目标用户100在选择认证类型之后，客户端200可以显示选择目标泛身份的用户界面，所述选择目标泛身份的用户界面中可以包括多种泛身份类型供目标用户100选择。所述职业身份认证对应的选择目标泛身份的用户界面中可以包括如医生、护士、教师等多种泛身份类型。所述个人兴趣身份认证对应的选择目标泛身份的用户界面中可以包括如美食爱好者、穿搭达人等多种泛身份类型。图6示出了根据本说明书的一些实施例提供的一种选择目标泛身份的用户界面示意图，图6是所述个人兴趣身份认证对应的选择目标泛身份的用户界面。
目标用户100在所述选择目标泛身份的用户界面中选择好目标泛身份后，可以触发确定认证的选项以发起所述泛身份认证请求，从而客户端200可以接收到所述泛身份认证请求。如图6所示，目标用户100可以触发“确认”选项发起所述泛身份认证请求。
通过将泛身份认证分为个人兴趣身份认证或者职业身份认证，经职业身份认证通过的用户所发布的内容的可信度更高，因此能够提高内容发布平台的内容质量。即使不具备领域专业证明，但经过本说明书提供的泛身份认证方法的严格认证，使得经个人兴趣身份认证通过的用户所发布的内容的可信度也比较高，也能够提高内容发布平台的内容质量。并且，不具备领域专业证明的用户数量大概率高于具备领域专业证明的用户数量，因此，为不具备领域专业证明的用户提供个人兴趣身份认证的机会，能够提升内容发布平台上内容的丰富性。
在一些实施例中，所述泛身份认证还可以包括其他类型的认证，比如，所述泛身份的认证可以分为个人兴趣身份认证、初级职业身份认证、中级职业身份认证、高级职业身份认证等。在一些实施例中，所述泛身份认证还可以不划分类型，本说明书对所述泛身份认证是否划分类型不做限定。
在一些实施例中，当计算设备600为客户端200时，计算设备600可以接收到目标用户100通过上述用户界面触发的泛身份认证请求。在一些实施例中，当计算设备600 为服务器300时，客户端200在检测到目标用户100通过上述用户界面触发的泛身份认证操作之后，可以向计算设备600发送泛身份认证请求，从而计算设备600接收到来自于客户端200的泛身份认证请求。
S140：确定与所述目标泛身份对应的至少一个认证问题，并获得所述目标用户100对所述至少一个认证问题的回答。
其中，所述认证问题的类型可以与目标泛身份的类型匹配，比如，所述认证问题可以是询问所述目标领域的知识的问题。比如目标泛身份是美食爱好者，则可以询问目标用户100美食领域的知识的认证问题，再比如目标泛身份是医生，则可以询问目标用户100医学领域的知识的认证问题，等等。另外，所述认证问题可以是以文本、图像、视频、音频中的任意一种或多种呈现形式呈现的问题。
在一些实施例中，计算设备600可以为目标用户100确定目标泛身份对应的多个认证问题，并将这多个认证问题同时提供给目标用户100。在一些实施例中，计算设备600可以依次确定目标泛身份对应的多个认证问题，并依次提供给目标用户100。目标用户100可以依次作答，计算设备600可以在目标用户100作答结束后同时获取所有的回答，也可以在目标用户100每答复完一个认证问题就获取一次回答。以下主要介绍计算设备600依次确定多个认证问题的方法。
计算设备600可以基于目标泛身份确定第1个认证问题，并获得目标用户100对所述第1个认证问题的回答。比如，第1个认证问题是“慕斯蛋糕怎么制作？”或者“请从以下图像中选择出面包的关键成分”，图7示出了根据本说明书的一些实施例提供的一种泛身份认证的用户界面示意图。当目标泛身份是美食爱好者时，如图7所示，第1个认证问题是“请从以下图像中选择出面包的关键成分”。
在一些实施例中，计算设备600可以预先为每种类型的泛身份设置一个预设问题集，所述预设问题集中包括至少一个候选问题。所述预设问题集可以是第1个认证问题的备选库，也可以是其他认证问题的备选库。在认证时，计算设备600可以获得所述目标泛身份对应的预设问题集，进而从所述预设问题集中选取一个候选问题作为所述第1个认证问题。所述选取的方式可以是随机选取。当然，所述预设问题集中的每个候选问题也可以按照重要程度进行排序，计算设备600每次选取时，可以从该预设问题集中选取当前最重要的候选问题，比如，当前需要选取第1个认证问题，则可以从中选取当前最重要的候选问题作为第1个认证问题。通过预设问题集生成第1个认证问题，提升泛身份认证的便捷性。
在一些实施例中，计算设备600可以基于所述目标泛身份，获得所述目标领域对应的至少一个知识点，并从所述至少一个知识点中选取目标知识点。进而，计算设备600可以通过AIGC(AI Generated Content，人工智能生成内容)基于所述目标知识点生成目标认证问题，并将所述目标认证问题确定为所述第1个认证问题。
其中，所述知识点可以通过泛身份模型生成。所述知识点可以是文字形式的知识点。所述泛身份模型可以是用于认证泛身份的大模型。大模型是指具有大量参数和复杂结构 的机器学习模型，大模型可以达到百亿级别的参数，能处理海量数据，因此大模型可以应用于处理大规模的数据和复杂的问题。计算设备600或者其他设备可以预先对所述泛身份模型进行训练，当其他设备训练泛身份模型时，可以将完成训练的泛身份模型发送给计算设备600。本文以计算设备600训练泛身份模型为例进行介绍。
所述泛身份模型可以根据多种样本泛身份以及每种样本泛身份下的多个样本知识点训练得到，所述多种样本泛身份包括所述目标泛身份。具体地，计算设备600可以为每种样本泛身份设置对应领域下的多种知识点，比如，美食领域包括美食品鉴、美食制作方式、来源历史、口味等多种知识点，每种知识点下可以包括多个知识点，比如，美食制作方式包括蛋糕的制作方式、面包的制作方式、面粉的发酵方式、面包的水和面粉的比例，等等。所述知识点可以通过爬虫手段采集得到。计算设备600可以用每种样本泛身份及其对应的知识点训练所述泛身份模型，使得训练完毕的泛身份模型具备获知每种泛身份下知识点的能力。
随着社会不断发展，内容更新迭代，新的泛身份层出不穷，为了及时响应这些变化，泛身份模型可以被快速扩展，计算设备600可以用新泛身份的知识点继续训练泛身份模型，便于泛身份模型认证新泛身份。因此泛身份模型可以不断丰富知识点，不断扩展认证特性，随时响应泛身份的变化。
计算设备600可以利用训练完成的泛身份模型确定认证问题。在确定第1个认证问题时，计算设备600可以将所述目标泛身份输入泛身份模型以获得所述目标领域对应的至少一个知识点。所述知识点的句式可以是任意句式，比如，问句、陈述句、疑问句等。进而，计算设备600可以随机地从所述至少一个知识点中选取目标知识点。或者，计算设备600可以按照至少一个知识点的重要程度选取最重要的一个作为目标知识点。本说明书实施例对选取目标知识点的方式不作限定。由于所述泛身份模型具备多个领域内的大量知识，因此所述泛身份模型依托强大的知识背景所产出的知识点更合理和准确，提升了第1个认证问题的准确性，从而提升了泛身份认证的准确性。
需要说明的是，目标知识点可以是文字形式的知识点，为了丰富目标知识点呈现给目标用户100时的呈现形式，计算设备600可以确定适于呈现目标知识点的目标呈现形式。在一些实施例中，计算设备600可以基于目标泛身份确定所述目标呈现形式。比如，美食爱好者对应的美食类知识点适合采用图文和/或视频的呈现形式、健身达人对应的健身类知识点适合采用视频的呈现形式、理财大牛对应的理财类知识点适合采用文字和/或图像的呈现形式、摄影发烧友对应的摄影类知识点适合采用图像的呈现形式，等等。在一些实施例中，计算设备600可以基于目标知识点确定所述目标呈现形式。比如，面包制作方式的知识点适合采用文字的呈现形式、不同面包烤制成型的形状的知识点适合采用图像的呈现形式、健身教学的知识点适合采用视频的呈现形式、健身成果的知识点适合采用图像的呈现形式，等等。
根据目标泛身份或者目标知识点本身可以为目标知识点设置合适的目标呈现形式，能够提升泛身份认证的效率，比如，相比较以文字叙述形状类的知识点而言，用户更容 易了解以图像展示的形状类知识点，因此便能更高效地进行泛身份认证，从而提升泛身份认证的效率。并且，还能丰富与用户交互时的交互形式，提高用户认证泛身份时的体验。
计算设备600可以通过所述AIGC生成交互式话题，供目标用户100回答。具体地，所述AIGC可以获取所述目标知识点和所述目标呈现形式，生成以所述目标呈现形式呈现的目标认证问题，并将所述目标认证问题确定为所述第1个认证问题。比如，以文字呈现第1个认证问题“慕斯蛋糕怎么制作？”、以图文呈现第1个认证问题“哪张图像是碱水面包烤制成型的形状？”、以视频和文字呈现第1个认证问题“视频中的健身动作是否正确？”。如图7所示，以图文呈现第1个认证问题“请从以下图像中选择出面包的关键成分”。其中，目标知识点可以是目标认证问题的核心句子成分。比如，目标知识点是“面包的关键成分”，目标认证问题是“请从以下图像中选择出面包的关键成分？”。当然，计算设备600也可以不指定目标呈现形式，而是可以将目标知识点输入所述AIGC，由AIGC自己生成以目标呈现形式的呈现的目标认证问题。
在一些实施例中，所述AIGC可以确定适于呈现目标知识点的目标题目类型，以所述目标题目类型呈现所述第1个认证问题。所述目标题目类型可以包括选择题、填空题、应用题、判断题、简答题等。计算设备600可以以目标呈现形式和目标题目类型共同展示所述第1个认证问题。如图7所示，以图文和选择题的方式展示第1个认证问题“请从以下图像中选择出面包的关键成分”。
其中，所述AIGC能够基于GAN(Generative Adversarial Networks，生成对抗网络)、大型预训练模型等人工智能技术生成具有一定创意和质量的内容。本说明书通过AIGC能够自动生成与目标知识点相匹配的高质量目标认证问题，提升泛身份认证的准确性。
对于第1个认证问题之后的其他认证问题，计算设备600可以循环执行如下步骤直至预设结束条件：基于所述目标泛身份、第i-1个认证问题、以及所述第i-1个认证问题对应的回答中的至少一项，生成第i个认证问题，在所述循环执行的过程中，所述i在大于1的整数中按照从小到大的顺序依次取值，并获得目标用户100对所述第i个认证问题的回答。其中，所述预设结束条件可以是前i个认证问题的数量达到预设数量，或者所述前i个认证问题的回答中错误回答的数量与所述i之间的比值小于预设比值，或者所述前i个认证问题的回答的当前评价总分低于预设分值。所述预设结束条件还可以是其他条件，本说明书对此不作限定。
在一些实施例中，计算设备600可以基于所述目标泛身份、所述第i-1个认证问题以及所述第i-1个认证问题对应的回答中的至少一项，确定所述目标领域对应的至少一个知识点。具体地，计算设备600可以通过泛身份模型基于所述目标泛身份、所述第i-1个认证问题、以及所述第i-1个认证问题对应的回答中的至少一项，确定所述目标领域对应的至少一个知识点。进而，计算设备600可以从所述至少一个知识点中选取目标知识点，通过所述AIGC基于所述目标知识点生成目标认证问题，并将所述目标认证问题确定为所述第i个认证问题。所述选取目标知识点和基于所述目标知识点生成目标认证 问题的方式可以参考前面的描述，在此不再赘述。
当计算设备600基于所述目标泛身份和所述泛身份模型确定所述至少一个知识点时，由于所述泛身份模型在生成第1个认证问题的过程中已经被输入了目标泛身份，因此，所述泛身份模型在生成后续认证问题时，可以获取到所述目标泛身份，并只基于目标泛身份输出至少一个知识点。本说明书中，所述泛身份模型可以只基于目标泛身份快速地生成每个认证问题，提升泛身份认证的效率。
当计算设备600基于第i-1个认证问题对应的回答和所述泛身份模型确定所述至少一个知识点时，可以将第i-1个认证问题对应的回答输入所述泛身份模型，所述泛身份模型输出用于确定第i个认证问题的至少一个知识点。进而，AIGC可以基于选择的目标知识点生成第i个认证问题。图8示出了根据本说明书的一些实施例提供的一种泛身份认证的用户界面示意图。图7中第1个认证问题的回答选择了面粉和水，如图8所示，根据第1个认证问题的回答确定的第2个认证问题是“面包中的面粉和水的比例一般是多少？”。
当计算设备600基于第i-1个认证问题和所述泛身份模型确定所述至少一个知识点时，所述泛身份模型可以根据第i-1个认证问题输出用于确定第i个认证问题的至少一个知识点。进而，AIGC可以基于选择的目标知识点生成第i个认证问题。图9和图10分别示出了根据本说明书的一些实施例提供的泛身份认证的用户界面示意图。如图9所示，第3个认证问题是“制作面包的第1步是什么？”，如图10所示，根据第3个认证问题确定的第4个认证问题是“制作面包的第2步是什么？”。
在本说明书中，在生成第i个认证问题时，还可以考虑第i-1个认证问题和/或第i-1个认证问题的回答，使得前后文衔接更通顺和连贯，且泛身份认证的过程更智能。在另一些实施例中，计算设备600也可以通过其它方式生成第i个认证问题，比如，基于前述的预设问题集确定第i个认证问题，如从所述预设问题集中选取一个作为第i个认证问题。
S160：基于所述目标用户100对所述至少一个认证问题的回答，确定所述目标用户100对应的泛身份认证结果。
计算设备600可以确定每个回答的回答评价，并基于每个回答的回答评价确定目标用户100对应的泛身份认证结果。在一些实施例中，针对所述至少一个认证问题中的每个认证问题，计算设备600可以基于所述认证问题对应的回答生成确认问题，并将所述确认问题输入所述泛身份模型以获得所述认证问题对应的回答评价。需要说明的是，前述计算设备600将第i-1个认证问题对应的回答输入泛身份模型可以指，计算设备600将该回答对应的确认问题输入所述泛身份模型中。
其中，所述确认问题可以用于请求泛身份模型给出回答的回答评价。所述确认问题可以是基于回答生成的问句，比如“面包的关键成分是面粉和水吗？”、“面包中面粉和水的比例一般是5:3吗？”、“这个回答的质量怎么样？”等。所述确认问题可以是基于回答生成的陈述句，比如，“请给这个回答打分”、“请评价一下这个回答”等。 本说明书实施例对所述确认问题的句式不进行限定。
在一些实施例中，所述回答评价可以是给回答打的分值。所述分值的范围比如为1-10分或者0-100分，等等。比如，某回答“将淡奶油打发至起泡，往里加一些糖浆，装进裱花袋之后冷冻，挤在玻璃杯上即可”的回答评价是60分。在一些实施例中，所述回答评价可以是质量档位。所述质量档位比如包括“不正确”、“不佳”、“一般”、“好”这四个档位。所述泛身份模型可以先给出每个回答的分值，并基于分值与质量档位的对应关系确定该分值对应的质量档位。所述分值与质量档位的对应关系比如为：0～20分之间对应“不正确”、20～40分之间对应“不佳”、40～60分之间对应“一般”、60分以上对应“好”。在一些实施例中，所述回答评价可以是所述分值和所述质量档位，即一个回答可以对应两种类型的回答评价。
进而，计算设备600可以基于所述至少一个认证问题各自对应的所述回答评价确定所述泛身份认证结果。在一些实施例中，当所述回答评价是所述分值时，计算设备600可以基于所述至少一个认证问题各自对应的所述回答评价确定评价总分。所述评价总分可以是目标用户100各个回答的分值的总和或者平均值，本说明书实施例对确定所述评价总分的方式不作限定。计算设备600可以基于所述评价总分确定所述泛身份认证结果。比如，当所述评价总分高于预设分值时，确定所述泛身份认证结果为目标用户100具有所述目标泛身份。当所述评价总分低于所述预设分值时，确定所述泛身份认证结果为目标用户100不具有所述目标泛身份。
在一些实施例中，当所述回答评价是所述质量档位时，计算设备600可以从所述至少一个认证问题各自对应的所述回答评价中确定目标质量档位的总数量，基于目标质量档位的总数量确定所述泛身份认证结果。比如，当所述目标质量档位的总数量高于预设阈值时，确定所述泛身份认证结果为目标用户100具有所述目标泛身份。当所述目标质量档位的总数量低于预设阈值时，确定所述泛身份认证结果为目标用户100不具有所述目标泛身份。所述目标质量档位比如为“好”。
在一些实施例中，当所述回答评价是所述分值和所述质量档位时，计算设备600可以基于所述至少一个认证问题各自对应的所述回答评价，确定所述评价总分以及所述目标质量档位的总数量，基于所述评价总分以及所述目标质量档位的总数量共同确定所述泛身份认证结果。比如，当所述评价总分高于预设分值、且所述目标质量档位的总数量高于预设阈值时，确定所述泛身份认证结果为目标用户100具有所述目标泛身份。当所述评价总分低于预设分值、且所述目标质量档位的总数量低于预设阈值时，确定所述泛身份认证结果为目标用户100不具有所述目标泛身份。通过评价总分和目标质量档位的总数量共同判断目标用户100是否通过认证，可以避免在仅用评价总分评价时，目标用户100对认证问题回答的很差、但整体分数较高，却认证通过的情况，从而提升认证的准确性。
在一些实施例中，当计算设备600为客户端200时，计算设备600得到所述泛身份认证结果之后，可以通过交互界面显示所述泛身份认证结果。例如，图11示出了根 据本说明书的一些实施例提供的一种泛身份认证通过的界面示意图，如图11所示，当目标用户100认证通过后，显示“恭喜您认证通过！”图12示出了根据本说明书的一些实施例提供的一种泛身份认证未通过的界面示意图，如图12所示，当目标用户100认证未通过时，显示“很遗憾，您未通过认证！”
在一些实施例中，当计算设备600为服务器300时，计算设备600得到所述泛身份认证结果之后，可以向客户端200发送所述泛身份认证结果，以便客户端200通过交互界面向目标用户展示所述泛身份认证结果。
需要说明的是，如果目标用户100的目标泛身份认证通过，所述目标泛身份可以作为账号标签显示在目标用户100用于发布内容的目标账号旁边，浏览目标用户100所发布内容的其他用户可以查看到该目标泛身份，有助于该其他用户了解目标用户100所发布内容的质量。
互联网的内容产业更加看重的是用户能否沉淀出高质量内容，创造价值。如果用户没有泛身份下本应具备的专业知识可能会导致内容局限化，也会造成用户甚至内容发布平台劣于竞争对手。因此需要进行用户的泛身份认证。面对各种各样的泛身份，如果采用人工认证的话，需要认证负责人具备各个领域的知识，因此，人工认证是比较困难的。而本说明书采用基于大模型和AIGC的泛身份识别方法，一方面采用了大模型实现有效认证，而且大模型还可以不停扩展新泛身份的知识点以适应时代的发展；另一方面通过AIGC自动生成策略，能够采用可交互的多种呈现形式测试核验用户在互联网中的泛身份。通过本说明书方法认证通过的用户，能够产出高质量内容，提升用户自身和内容发布平台的竞争力。
综上所述，本说明书提供的泛身份认证的方法和系统，计算设备600在接收到目标用户对应的泛身份认证请求后，可以确定与目标泛身份对应的至少一个认证问题，并获得目标用户对该至少一个认证问题的回答，从而基于该回答来认证目标用户是否具有目标泛身份，本说明书通过问答的形式实现了泛身份的有效认证，提升了认证结果的准确性。进一步的，目标用户只能发布其认证通过的泛身份相关的内容，从而能够提升内容发布的质量。
本说明书另一方面提供一种非暂时性存储介质，存储有至少一组用来进行泛身份认证的可执行指令。当所述可执行指令被处理器执行时，所述可执行指令指导所述处理器实施本说明书所述的泛身份认证的方法P100的步骤。在一些可能的实施方式中，本说明书的各个方面还可以实现为一种程序产品的形式，其包括程序代码。当所述程序产品在泛身份认证系统上运行时，所述程序代码用于使泛身份认证的系统执行本说明书描述的泛身份认证的方法P100的步骤。用于实现上述方法的程序产品可以采用便携式紧凑盘只读存储器(CD-ROM)包括程序代码，并可以在泛身份认证的系统上运行。然而，本说明书的程序产品不限于此，在本说明书中，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使用或者与其结合使用。所述程序产品可以采用一个或多个可读介质的任意组合。可读介质可以是可读信号介质或者可读存储介质。 可读存储介质例如可以为但不限于电、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。可读存储介质的更具体的例子包括：具有一个或多个导线的电连接、便携式盘、硬盘、随机存取存储器(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。所述计算机可读存储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，其中承载了可读程序代码。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。可读存储介质还可以是可读存储介质以外的任何可读介质，该可读介质可以发送、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。可读存储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、有线、光缆、RF等等，或者上述的任意合适的组合。可以以一种或多种程序设计语言的任意组合来编写用于执行本说明书操作的程序代码，所述程序设计语言包括面向对象的程序设计语言—诸如Java、C++等，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在泛身份认证的系统上执行、部分地在泛身份认证的系统上执行、作为一个独立的软件包执行、部分在泛身份认证的系统上部分在远程计算设备上执行、或者完全在远程计算设备上执行。
上述对本说明书特定实施例进行了描述。其他实施例在所附权利要求书的范围内。在一些情况下，在权利要求书中记载的动作或步骤可以按照不同于实施例中的顺序来执行并且仍然可以实现期望的结果。另外，在附图中描绘的过程不一定要求示出特定顺序或者连续顺序才能实现期望的结果。在某些实施方式中，多任务处理和并行处理也是可以的或者是可能有利的。
综上所述，在阅读本详细公开内容之后，本领域技术人员可以明白，前述详细公开内容可以仅以示例的方式呈现，并且可以不是限制性的。尽管这里没有明确说明，本领域技术人员可以理解本说明书需求囊括对实施例的各种合理改变，改进和修改。这些改变，改进和修改旨在由本说明书提出，并且在本说明书的示例性实施例的精神和范围内。
此外，本说明书中的某些术语已被用于描述本说明书的实施例。例如，“一个实施例”，“实施例”和/或“一些实施例”意味着结合该实施例描述的特定特征，结构或特性可以包括在本说明书的至少一个实施例中。因此，可以强调并且应当理解，在本说明书的各个部分中对“实施例”或“一个实施例”或“替代实施例”的两个或更多个引用不一定都指代相同的实施例。此外，特定特征，结构或特性可以在本说明书的一个或多个实施例中适当地组合。
应当理解，在本说明书的实施例的前述描述中，为了帮助理解一个特征，出于简化本说明书的目的，本说明书将各种特征组合在单个实施例、附图或其描述中。然而，这并不是说这些特征的组合是必须的，本领域技术人员在阅读本说明书的时候完全有可能将其中一部分设备标注出来作为单独的实施例来理解。也就是说，本说明书中的实施 例也可以理解为多个次级实施例的整合。而每个次级实施例的内容在于少于单个前述公开实施例的所有特征的时候也是成立的。
本文引用的每个专利，专利申请，专利申请的出版物和其他材料，例如文章、书籍、说明书、出版物、文件、物品等，除了与其相关的任何历史起诉文件、可能与本文件不一致或相冲突的任何相同的、或者任何可能对权利要求的最宽范围具有限制性影响的任何相同的历史起诉文件，均可以通过引用结合于此，并用于现在或以后与本文件相关联的所有目的。此外，如果在与任何所包含的材料相关联的术语的描述、定义和/或使用与本文档相关的术语、描述、定义和/或之间存在任何不一致或冲突时，使用本文件中的术语为准。
最后，应理解，本文公开的申请的实施方案是对本说明书的实施方案的原理的说明。其他修改后的实施例也在本说明书的范围内。因此，本说明书披露的实施例仅仅作为示例而非限制。本领域技术人员可以根据本说明书中的实施例采取替代配置来实现本说明书中的申请。因此，本说明书的实施例不限于申请中被精确地描述过的实施例。

Claims (14)

  1. 一种泛身份认证的方法，应用于计算设备，包括：
    接收目标用户对应的泛身份认证请求，所述泛身份认证请求用于请求认证所述目标用户是否具有目标泛身份；
    确定与所述目标泛身份对应的至少一个认证问题，并获得所述目标用户对所述至少一个认证问题的回答；以及
    基于所述目标用户对所述至少一个认证问题的回答，确定所述目标用户对应的泛身份认证结果。
  2. 如权利要求1所述的方法，其中，所述目标泛身份包括目标领域对应的领域身份，所述认证问题包括询问所述目标领域的知识的问题。
  3. 如权利要求2所述的方法，其中，所述确定与所述目标泛身份对应的至少一个认证问题，并获得所述目标用户对所述至少一个认证问题的回答，包括：
    基于所述目标泛身份确定第1个认证问题，并获得所述目标用户对所述第1个认证问题的回答；以及
    循环执行如下步骤直至预设结束条件：
    基于所述目标泛身份、第i-1个认证问题、以及所述第i-1个认证问题对应的回答中的至少一项，生成第i个认证问题，在所述循环执行的过程中，所述i在大于1的整数中按照从小到大的顺序依次取值，以及
    获得所述目标用户对所述第i个认证问题的回答。
  4. 如权利要求3所述的方法，其中，所述基于所述目标泛身份确定第1个认证问题，包括：
    获得所述目标泛身份对应的预设问题集，所述预设问题集中包括至少一个候选问题；以及
    从所述预设问题集中选取一个候选问题作为所述第1个认证问题。
  5. 如权利要求3所述的方法，其中，所述基于所述目标泛身份确定第1个认证问题，包括：
    基于所述目标泛身份，获得所述目标领域对应的至少一个知识点；
    从所述至少一个知识点中选取目标知识点；以及
    通过人工智能生成内容AIGC基于所述目标知识点生成目标认证问题，并将所述目标认证问题确定为所述第1个认证问题。
  6. 如权利要求5所述的方法，其中，所述基于所述目标泛身份，获得所述目标领域对应的至少一个知识点，包括：
    将所述目标泛身份输入泛身份模型以获得所述目标领域对应的至少一个知识点，所述泛身份模型是根据多种样本泛身份以及每种样本泛身份下的多个样本知识点训练得到的，所述多种样本泛身份包括所述目标泛身份。
  7. 如权利要求3所述的方法，其中，所述基于所述目标泛身份、第i-1个认证问题、 以及所述第i-1个认证问题对应的回答中的至少一项，生成第i个认证问题，包括：
    基于所述目标泛身份、所述第i-1个认证问题、以及所述第i-1个认证问题对应的回答中的至少一项，确定所述目标领域对应的至少一个知识点；
    从所述至少一个知识点中选取目标知识点；以及
    通过人工智能生成内容AIGC基于所述目标知识点生成目标认证问题，并将所述目标认证问题确定为所述第i个认证问题。
  8. 如权利要求7所述的方法，其中，所述基于所述目标泛身份、第i-1个认证问题、以及所述第i-1个认证问题对应的回答中的至少一项，确定所述目标领域对应的至少一个知识点，包括：
    通过泛身份模型基于所述目标泛身份、所述第i-1个认证问题、以及所述第i-1个认证问题对应的回答中的至少一项，确定所述目标领域对应的至少一个知识点，所述泛身份模型是根据多种样本泛身份以及每种样本泛身份下的多个样本知识点训练得到的，所述多种样本泛身份包括所述目标泛身份。
  9. 如权利要求5或7所述的方法，其中，所述通过人工智能生成内容AIGC基于所述目标知识点生成所述目标认证问题，包括：
    基于所述目标泛身份确定适于呈现所述目标知识点的目标呈现形式；以及
    通过所述AIGC基于所述目标知识点和所述目标呈现形式，生成以所述目标呈现形式呈现的所述目标认证问题。
  10. 如权利要求3所述的方法，其中，所述预设结束条件包括：
    前i个认证问题的数量达到预设数量；或者
    所述前i个认证问题的回答的当前评价总分低于预设分值。
  11. 如权利要求1所述的方法，其中，所述基于所述目标用户对所述至少一个认证问题的回答，确定所述目标用户对应的泛身份认证结果，包括：
    针对所述至少一个认证问题中的每个认证问题，基于所述认证问题对应的回答生成确认问题，并将所述确认问题输入泛身份模型以获得所述认证问题对应的回答评价，其中，所述泛身份模型是根据多种样本泛身份以及每种样本泛身份下的多个样本知识点训练得到的，所述多种样本泛身份包括所述目标泛身份；以及
    基于所述至少一个认证问题各自对应的所述回答评价确定所述泛身份认证结果。
  12. 如权利要求11所述的方法，其中，所述基于所述至少一个认证问题各自对应的所述回答评价确定所述泛身份认证结果，包括：
    基于所述至少一个认证问题各自对应的所述回答评价确定评价总分；以及
    基于所述评价总分确定所述泛身份认证结果，包括：
    确定所述评价总分高于预设分值，则确定所述泛身份认证结果为所述目标用户具有所述目标泛身份，或者
    确定所述评价总分低于所述预设分值，则确定所述泛身份认证结果为所述目标用户不具有所述目标泛身份。
  13. 如权利要求1所述的方法，其中，所述认证问题是以文本、图像、视频、音频中的任意一种或多种呈现形式呈现的问题。
  14. 一种泛身份认证的系统，包括：
    至少一个存储介质，存储有至少一组指令集用于实现泛身份认证；以及
    至少一个处理器，同所述至少一个存储介质通信连接，
    其中当所述泛身份认证的系统运行时，所述至少一个处理器读取所述至少一个指令集并实施权利要求1-13中任一项所述泛身份认证的方法。
PCT/CN2024/126012 2023-11-29 2024-10-21 泛身份认证的方法和系统 Pending WO2025112970A1 (zh)

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