WO2019056965A1 - 基于身份验证装置的内容数据推荐方法、装置和存储介质 - Google Patents

基于身份验证装置的内容数据推荐方法、装置和存储介质 Download PDF

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Publication number
WO2019056965A1
WO2019056965A1 PCT/CN2018/105113 CN2018105113W WO2019056965A1 WO 2019056965 A1 WO2019056965 A1 WO 2019056965A1 CN 2018105113 W CN2018105113 W CN 2018105113W WO 2019056965 A1 WO2019056965 A1 WO 2019056965A1
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WIPO (PCT)
Prior art keywords
information
content data
recommended content
user
attribute information
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PCT/CN2018/105113
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English (en)
French (fr)
Inventor
徐立
徐妙然
张忠福
刘毅
刁益帆
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深圳市商汤科技有限公司
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Application filed by 深圳市商汤科技有限公司 filed Critical 深圳市商汤科技有限公司
Priority to JP2019562420A priority Critical patent/JP7036837B2/ja
Priority to SG11201912060QA priority patent/SG11201912060QA/en
Publication of WO2019056965A1 publication Critical patent/WO2019056965A1/zh
Priority to US16/706,761 priority patent/US20200112756A1/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/4223—Cameras
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/10—Protecting distributed programs or content, e.g. vending or licensing of copyrighted material ; Digital rights management [DRM]
    • G06F21/12—Protecting executable software
    • G06F21/121—Restricting unauthorised execution of programs
    • G06F21/123—Restricting unauthorised execution of programs by using dedicated hardware, e.g. dongles, smart cards, cryptographic processors, global positioning systems [GPS] devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174—Facial expression recognition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866—Management of end-user data
    • H04N21/25875—Management of end-user data involving end-user authentication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/418—External card to be used in combination with the client device, e.g. for conditional access
    • H04N21/4182—External card to be used in combination with the client device, e.g. for conditional access for identification purposes, e.g. storing user identification data, preferences, personal settings or data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/441—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card
    • H04N21/4415—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/482—End-user interface for program selection
    • H04N21/4826—End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client 
    • H04N21/65—Transmission of management data between client and server
    • H04N21/658—Transmission by the client directed to the server
    • H04N21/6582—Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81—Monomedia components thereof
    • H04N21/812—Monomedia components thereof involving advertisement data

Definitions

  • the present invention relates to the field of information processing technologies, and in particular, to a content data recommendation method, apparatus, and storage medium based on an identity verification apparatus.
  • Human-proof comparison devices are used more and more in life, such as telecom business halls, banks, Internet cafes, hotels and other places. When people do business in these places, they must first compare people and documents.
  • the existing human-proof comparison device only has the function of detecting and recognizing, and does not have any other media push function.
  • the person and the document are compared, the user needs to stay in front of the device for a period of time, and the user needs to visually look ahead. There is no display of any information in front, and there is no display of commercial information. In this process, people have the attention to idle, they will feel boring and boring.
  • An object of the embodiments of the present invention is to provide a technical solution for content data recommendation based on an identity verification device.
  • a content data recommendation method based on an identity verification device includes: acquiring a first image of a user, acquiring attribute information of the user from the first image, and transmitting the attribute information to a content server, so that the content server is The attribute information is used to determine the first recommended content data of the user; the first recommended content data fed back by the content server is received, and the recommended content corresponding to the first recommended content data is displayed.
  • the method when the acquiring the first image of the user, the method further includes: obtaining the user's ID information; performing identity verification according to the first image and the credential information, and obtaining the result of the identity verification.
  • the obtaining the credential information of the user comprises: identifying information in the credential chip by the card reader, and acquiring the credential information of the user based on the information in the credential chip.
  • the obtaining the user's ID information includes: identifying an image information in the ID image by an Optical Character Recognition (OCR) module, and acquiring the user's ID information based on the image information.
  • OCR Optical Character Recognition
  • the method further includes: extracting identity information of the user from the credential information; and sending the identity information to the content server to enable the content
  • the server determines the second recommended content data of the user according to the identity information, and receives the second recommended content data that is fed back by the content server, and displays the recommended content corresponding to the second recommended content data.
  • the method further includes: acquiring a second image of the user, and acquiring facial expression information of the user from the second image. Transmitting the facial expression information and the attribute information to the content server, so that the content server determines the third recommended content data of the user according to the facial expression information and the attribute information; receiving The third recommended content data fed back by the content server displays the recommended content corresponding to the third recommended content data.
  • the identity information comprises at least one of the following: gender, age, domicile, birthday, constellation.
  • the attribute information includes at least one of: skin color, hairstyle, whether to wear glasses, whether to wear jewelry, gender, age, hair color, whether makeup.
  • a content data recommendation method based on an identity verification device includes: receiving attribute information of a user sent by the terminal device; determining first recommended content data of the user according to the attribute information; and pushing the first recommended content data to the terminal device.
  • the determining, according to the attribute information, the first recommended content data of the user comprising: matching the attribute information with indicator information of a plurality of recommended content data, respectively; a matching score of the attribute information and the indicator information of each recommended content data; determining the first recommended content data according to the matching score.
  • the method further includes: receiving identity information of the user sent by the terminal device; determining second recommended content data of the user according to the identity information; Pushing the second recommended content data to the terminal device.
  • the determining the second recommended content data of the user according to the identity information comprises: matching the identity information with indicator information of multiple recommended content data; and calculating the a matching score of the identity information and the indicator information of each recommended content data; determining the second recommended content data according to the matching score.
  • the method further includes: receiving facial expression information and attribute information of the user sent by the terminal device; according to the facial expression The information and the attribute information determine third recommended content data of the user; and the third recommended content data is pushed to the terminal device.
  • the determining the third recommended content data of the user according to the facial expression information and the attribute information comprises: determining, according to the facial expression information, that the third recommended content data belongs to Matching the attribute information with the indicator information of the plurality of recommended content data under the type; calculating, according to the matching result, a matching score of the attribute information and the indicator information of each recommended content data under the type; The third recommended content data is determined according to the matching score.
  • the identity information comprises at least one of the following: gender, age, domicile, birthday, constellation.
  • the attribute information includes at least one of: skin color, hairstyle, whether to wear glasses, whether to wear jewelry, gender, age, hair color, whether makeup.
  • a content data recommendation apparatus based on an identity verification apparatus.
  • the device includes: a first acquiring module, configured to acquire a first image of the user, and obtain attribute information of the user from the first image, in response to the operation of the identity verification; the first sending module is configured to: The attribute information obtained by the obtaining module is sent to the content server, so that the content server determines the first recommended content data of the user according to the attribute information; and the first receiving module is configured to receive the feedback from the content server.
  • the first recommended content data exhibits recommended content corresponding to the first recommended content data.
  • the device further includes: an identity verification module, configured to acquire the user's ID information when the first acquisition module acquires the first image of the user; according to the first image and the credential information Authenticate and get the result of the authentication.
  • an identity verification module configured to acquire the user's ID information when the first acquisition module acquires the first image of the user; according to the first image and the credential information Authenticate and get the result of the authentication.
  • the identity verification module includes: a first acquisition submodule configured to identify information in the credential chip by the card reader, and obtain the user's credential information based on the information in the credential chip.
  • the identity verification module includes: a second acquisition submodule configured to identify image information in the certificate image by the OCR module, and obtain the user's ID information based on the image information.
  • the apparatus further includes: an extracting module configured to: after the identity verification module acquires the user's ID information, extract the identity information of the user from the credential information; and the second sending module is configured to Sending the identity information to the content server, so that the content server determines the second recommended content data of the user according to the identity information; and the second receiving module is configured to receive the information fed back by the content server
  • the second recommendation content data is used to display the recommended content corresponding to the second recommended content data.
  • the device further includes: a second acquiring module, configured to acquire a second image of the user in the process that the second receiving module displays the recommended content corresponding to the second recommended content data, Acquiring facial expression information of the user in the second image;
  • the third sending module is configured to send the facial expression information and the attribute information obtained by the second acquiring module to the content server, so that Determining, by the content server, the third recommended content data of the user according to the facial expression information and the attribute information;
  • the third receiving module is configured to receive the third recommended content data fed back by the content server, and display The recommended content corresponding to the third recommended content data.
  • the identity information comprises at least one of the following: gender, age, domicile, birthday, constellation.
  • the attribute information includes at least one of: skin color, hairstyle, whether to wear glasses, whether to wear jewelry, gender, age, hair color, whether makeup.
  • a content data recommendation apparatus based on an identity verification apparatus.
  • the device includes: a fourth receiving module, configured to receive attribute information of a user sent by the terminal device; the first determining module, configured to determine, according to the attribute information received by the fourth receiving module, the first recommendation of the user And the fourth sending module is configured to push the first recommended content data determined by the first determining module to the terminal device.
  • the first determining module is configured to: match the attribute information with the indicator information of the plurality of recommended content data, and calculate an index of the attribute information and each recommended content data based on the matching result. a matching score of the information; determining the first recommended content data according to the matching score.
  • the apparatus further includes: a fifth receiving module, configured to: after the fourth receiving module receives the attribute information of the user sent by the terminal device, receive the identity information of the user sent by the terminal device; a module, configured to determine second recommended content data of the user according to the identity information received by the fifth receiving module, and a fifth sending module configured to determine the second recommended content determined by the second determining module Data is pushed to the terminal device.
  • a fifth receiving module configured to: after the fourth receiving module receives the attribute information of the user sent by the terminal device, receive the identity information of the user sent by the terminal device
  • a module configured to determine second recommended content data of the user according to the identity information received by the fifth receiving module
  • a fifth sending module configured to determine the second recommended content determined by the second determining module Data is pushed to the terminal device.
  • the second determining module is configured to: match the identity information with the indicator information of the plurality of recommended content data; and calculate, according to the matching result, the indicator information of the identity information and each recommended content data. Matching score; determining the second recommended content data based on the matching score.
  • the apparatus further includes: a sixth receiving module, configured to: after the fifth sending module pushes the second recommended content data to the terminal device, receive the user of the user sent by the terminal device a facial expression information and attribute information; a third determining module, configured to determine third recommended content data of the user according to the facial expression information and the attribute information received by the sixth receiving module; and a sixth sending module, And configured to push the third recommended content data determined by the third determining module to the terminal device.
  • a sixth receiving module configured to: after the fifth sending module pushes the second recommended content data to the terminal device, receive the user of the user sent by the terminal device a facial expression information and attribute information
  • a third determining module configured to determine third recommended content data of the user according to the facial expression information and the attribute information received by the sixth receiving module
  • a sixth sending module And configured to push the third recommended content data determined by the third determining module to the terminal device.
  • the third determining module is configured to: determine, according to the facial expression information, a type to which the third recommended content data belongs; and the attribute information and the plurality of recommended content under the type The indicator information of the data is matched; the matching score of the attribute information and the indicator information of each recommended content data under the type is calculated based on the matching result; and the third recommended content data is determined according to the matching score.
  • the identity information comprises at least one of the following: gender, age, domicile, birthday, constellation.
  • the attribute information includes at least one of: skin color, hairstyle, whether to wear glasses, whether to wear jewelry, gender, age, hair color, whether makeup.
  • a computer readable storage medium having stored thereon computer program instructions, wherein the program instructions are executed by a processor to implement the first aspect of the embodiments of the present invention
  • a computer program product comprising computer program instructions, wherein the program instructions are executed by a processor to implement the identity verification according to the first aspect of the embodiments of the present invention
  • an electronic device includes: a first processor, a first memory, a first communication element, and a first communication bus, the first processor, the first memory And the first communication element completes communication with each other through the first communication bus; the first memory is configured to store at least one executable instruction, the executable instruction causing the first processor to perform the present invention
  • an electronic device comprising: a second processor, a second memory, a second communication element, and a second communication bus, the second processor, the second memory And the second communication element completes communication with each other through the second communication bus; the second memory is configured to store at least one executable instruction, the executable instruction causing the second processor to perform the present invention
  • the step of the identity verification device-based content data recommendation method of the second aspect of the embodiment is configured to store at least one executable instruction, the executable instruction causing the second processor to perform the present invention.
  • the user image in response to the operation of the identity verification, the user image is acquired, the attribute information of the user is obtained from the user image, and the attribute information of the user is sent to the content server, so that the content server is Determining the recommended content data of the user by the attribute information; receiving the recommended content data fed back by the content server, and displaying the recommended content corresponding to the recommended content data, so that the user can recommend the accurate content data without interruption to the user It not only eliminates the boring and boring feeling of the user in the authentication process, but also can obtain the content data related to the user by using the waiting time of the authentication to maximize the recommendation effect.
  • FIG. 1 is a flowchart of a content data recommendation method based on an identity verification apparatus according to a first embodiment of the present invention
  • FIG. 2 is a flowchart of a content data recommendation method based on an identity verification device according to Embodiment 2 of the present invention
  • FIG. 3 is a flowchart of a method for recommending content data based on an identity verification apparatus according to Embodiment 3 of the present invention
  • FIG. 4 is a flowchart of a content data recommendation method based on an identity verification apparatus according to Embodiment 4 of the present invention.
  • FIG. 5 is a schematic structural diagram of a content data recommendation apparatus based on an identity verification apparatus according to Embodiment 5 of the present invention.
  • FIG. 6 is a schematic structural diagram of a content data recommendation apparatus based on an identity verification apparatus according to Embodiment 6 of the present invention.
  • FIG. 7 is a schematic structural diagram of a content data recommendation apparatus based on an identity verification apparatus according to Embodiment 7 of the present invention.
  • FIG. 8 is a schematic structural diagram of a content data recommendation apparatus based on an identity verification apparatus according to Embodiment 8 of the present invention.
  • FIG. 9 is a schematic structural diagram of a content data recommendation apparatus based on an identity verification apparatus according to Embodiment 9 of the present invention.
  • FIG. 10 is a schematic structural diagram of a content data recommendation apparatus based on an identity verification apparatus according to Embodiment 10 of the present invention.
  • FIG. 11 is a schematic structural diagram of an electronic device according to Embodiment 11 of the present invention.
  • FIG. 12 is a schematic structural diagram of an electronic device according to Embodiment 12 of the present invention.
  • FIG. 1 is a flow chart of a content data recommendation method based on an identity verification device according to a first embodiment of the present invention. As shown in FIG. 1, the content data recommendation method based on the identity verification apparatus of this embodiment includes the following steps:
  • step S101 in response to the operation of the identity verification, the first image of the user is acquired, and the attribute information of the user is acquired from the first image.
  • the first image may be a video image in a sequence of video frames.
  • the first image may include a user's head image.
  • the attribute information includes at least one of the following: skin color, hairstyle, whether to wear glasses, whether to wear jewelry, gender, age, hair color, whether makeup.
  • the identity verification device is an electronic device with an authentication function.
  • the attribute information of the user may be obtained from the first image of the user based on the method of deep learning. It can be understood that the embodiment of the present invention is not limited to obtaining the attribute information of the user from the user image by using the deep learning method, and any method that can obtain the attribute information of the user from the user image can be applied thereto.
  • step S102 the attribute information is sent to the content server, so that the content server determines the first recommended content data of the user according to the attribute information.
  • the content server may be a server having an advertisement distribution function
  • the first recommended content data may be image data or video data including advertisement information, and corresponds to attribute information sent to the content server.
  • step S103 the first recommended content data fed back by the content server is received, and the recommended content corresponding to the first recommended content data is displayed.
  • the recommendation method of the content data in response to the operation of the identity verification, the user image is acquired, the attribute information of the user is obtained from the user image, and the attribute information of the user is sent to the content server, so that the content server is configured according to the content server.
  • the attribute information determines recommended content data of the user. And receiving the recommended content data that is fed back by the content server, and displaying the recommended content corresponding to the recommended content data, so that the user can recommend the accurate content data without interruption, thereby eliminating the user in the identity verification process.
  • the boring and boring feeling you can use the authentication waiting time to get the user-related content data to maximize the recommendation effect.
  • the recommendation method of the content data in this embodiment may be performed by any suitable device having image or data processing capability, including but not limited to: a camera, a terminal, a mobile terminal, a personal computer (PC, Personal Computer), a server, an in-vehicle device, Entertainment devices, advertising devices, personal digital assistants (PDAs), tablets, laptops, handheld game consoles, smart glasses, smart watches, wearable devices, virtual display devices or display enhancement devices (such as Google Glass (Google) Glass), Oculus Rift (a head-mounted display), Hololens (a holographic image-based head-mounted display from Microsoft Corporation), Gear VR (a head-mounted display from South Korea's Samsung), etc.
  • a camera a terminal, a mobile terminal, a personal computer (PC, Personal Computer), a server, an in-vehicle device, Entertainment devices, advertising devices, personal digital assistants (PDAs), tablets, laptops, handheld game consoles, smart glasses, smart watches, wearable devices, virtual display devices or display enhancement devices (such as Google Glass (
  • FIG. 2 is a flow chart of a content data recommendation method based on an identity verification device according to a second embodiment of the present invention.
  • an electronic device having a face recognition function is taken as an execution subject, and a method for recommending content data according to an embodiment of the present invention is described.
  • the main body can refer to the embodiment to implement the recommendation operation of the corresponding content data.
  • the content data recommendation method based on the identity verification apparatus of this embodiment includes the following steps:
  • step S201 the identity information of the user is extracted from the document information.
  • the method when the acquiring the first image of the user, the method further includes: acquiring the user's ID information; performing identity verification according to the first image and the credential information, Get the result of the authentication. Wherein, after obtaining the user's ID information, the user's identity information is extracted from the credential information.
  • the obtaining the credential information of the user includes: identifying information in the credential chip by the card reader, and acquiring the credential information of the user based on the information in the credential chip.
  • the obtaining the credential information of the user includes: identifying, by the OCR module, image information in the credential image, and acquiring the credential information of the user based on the image information. It can be understood that the embodiment of the present invention is not limited to obtaining the user's ID information by recognizing the information in the ID chip by the card reader or by recognizing the image information in the ID image by the OCR module. Any method for obtaining the user's document information can be applied to the embodiment of the present invention.
  • the identity verification may include verifying the comparison between the user's real-time head image and the user's photo in the document, and determining whether the person's card is consistent, thereby ensuring the validity of the user's certificate.
  • the user's ID information includes the user's identity information and the ID photo.
  • the photo of the ID may be a photo of an ID card, a photo of a passport, or the like.
  • the method of deep learning is used to implement the similarity comparison between the head image and the ID photo in the first image of the user, and the real name verification of the user and the document is implemented, thereby ensuring the validity of the user ID.
  • the embodiment of the present invention is not limited to implementing the similarity comparison between the first image and the photo of the user by using the deep learning method, and any method for comparing the similarity between the first image and the photo of the user can be implemented. It can be applied to the embodiments of the present invention.
  • the identity information includes at least one of the following: gender, age, household registration, birthday, and constellation.
  • the result of the identity verification may include successful real-name authentication, real-name authentication failure, or real-life detection failure.
  • step S202 the identity information is sent to the content server, so that the content server determines the second recommended content data of the user according to the identity information.
  • the content server may be an advertisement distribution background.
  • the second recommended content data may be image data or video data containing advertisement information, and corresponds to identity information transmitted to the content server.
  • the second recommended content data may be an identifier, and the actual recommended content is stored locally at the electronic device.
  • the second recommended content data can also be a specific advertising video or image.
  • step S203 the second recommended content data fed back by the content server is received, and the recommended content corresponding to the second recommended content data is displayed.
  • second recommended content data corresponding to the identity information is received from the content server, and the second recommended content data is presented on a verification operation interface.
  • the electronic device having the face recognition function transmits the identity information of the user to the content server, and receives second recommended content data corresponding to the identity information from the content server. After receiving the second recommended content data, the second recommended content data is presented on a verification operation interface of the electronic device. When the second recommended content data is an identifier, the electronic device selects the corresponding recommended content according to the identifier for display. When the second recommended content data is a specific advertisement video or image, the electronic device extracts the recommended video or image in the second recommended content data, and then plays or displays.
  • the electronic device is first configured to perform face recognition related, for example, selecting a face detection mode as normal detection or silent detection, and setting a face recognition distance. Then, the electronic device is connected to the advertisement distribution background, and the advertisement distribution background automatically pushes the advertisement into the electronic device according to the scene in which the electronic device is located.
  • the display of the electronic device automatically plays a universal advertisement from the advertisement distribution background in full screen.
  • the electronic device acquires identity information in the identity card, and pushes the identity information to the advertisement distribution background, and the advertisement distribution background is based on the identity information. The gender, age, and household registration location in the push push push targeted advertisements to the electronic device.
  • the advertisement distribution background pushes a certain brand lipstick advertisement to the electronic device.
  • the targeted advertisement is being played, the camera of the electronic device is turned on, the response of the user watching the advertisement is obtained, the smile indicates that the expression is indifferent, the expression is indifferent, and the user's face reaction (face expression information) is uploaded to the advertisement distribution.
  • Face expression information face expression information
  • step S204 in the process of displaying the recommended content corresponding to the second recommended content data, acquiring a second image of the user, and acquiring facial expression information of the user from the second image.
  • the second image may be a video image in a sequence of video frames, and the second image may include a user's head image.
  • the facial expression information may be a facial expression of the user.
  • the camera of the electronic device captures the user image, and the electronic device acquires the facial expression information of the user from the user image using the method of deep learning.
  • the embodiment of the present invention is not limited to obtaining the facial expression information of the user from the user image by using the method of deep learning, and any method for acquiring the facial expression information of the user from the user image can be applied thereto.
  • step S205 the facial expression information and the attribute information are sent to the content server, so that the content server determines the third recommendation of the user according to the facial expression information and the attribute information.
  • Content data
  • the attribute information includes at least one of the following: skin color, hairstyle, whether to wear glasses, whether to wear jewelry, gender, age, hair color, whether makeup.
  • the third recommended content data may be image data or video data containing advertisement information, and corresponds to facial expression information and attribute information transmitted to the content server.
  • the third recommended content data may be an identification, and the actual recommended content is stored locally at the electronic device.
  • the third recommended content data may also be a specific advertising video or image.
  • step S206 the third recommended content data fed back by the content server is received, and the recommended content corresponding to the third recommended content data is displayed.
  • the third recommended content data corresponding to the facial expression information and the attribute information is received from the content server, and after the result of the identity verification is displayed, the third recommended content data is presented.
  • Corresponding recommended content When the third recommended content data is an identifier, the electronic device selects the corresponding recommended content according to the identifier to display.
  • the third recommended content data is a specific advertisement video or image, the electronic device extracts the recommended video or image in the third recommended content data, and then plays or displays.
  • the displaying the recommended content corresponding to the third recommended content data comprises: displaying the third recommended content data in a full screen form on the verification operation interface.
  • the advertisement recommended by the content server is displayed in a full screen form on the verification operation interface of the electronic device.
  • the display screen of the electronic device displays the electronic device on a large area on the left side.
  • the real-time video stream of the camera the display screen displays the ID card photo, name, and ID card local information of the user ID card on the right side.
  • the electronic device compares the user image captured by the camera in the live video stream with the ID card photo. Specifically, the electronic device uses a deep learning method to compare the user image captured by the camera in the real-time video stream with the ID card photo.
  • the real-time video stream of the camera is displayed on a large area on the left side of the display screen of the electronic device, and the result of the comparison of the human witnesses is displayed on the right side of the display area for a period of time.
  • the display of the electronic device plays a precise advertisement in full screen.
  • the precise advertisement at this time is attributed by the advertisement distribution platform according to the user's facial expression information, skin color, hairstyle, wearing glasses, wearing jewelry, and the like. Information to push. For example, a 20-year-old short-haired male who wears a targeted advertisement with a happy expression and a darker skin tone pushes an outdoor sports advertisement.
  • steps S201 to S204 of the present embodiment can be described in the following manner. Specifically, first, the electronic device performs pre-setting related to face recognition, for example, the face detection mode is selected as normal detection or silent detection, and the farthest recognition distance of the face is set. Then, the electronic device is connected to the advertisement distribution background, and the advertisement background automatically pushes the advertisement to the electronic device according to the scene in which the electronic device is located. When no one places an identity document on the electronic device, the display screen of the electronic device automatically plays the universal advertisement provided from the advertisement distribution background in full screen.
  • the face detection mode is selected as normal detection or silent detection
  • the farthest recognition distance of the face is set.
  • the electronic device is connected to the advertisement distribution background, and the advertisement background automatically pushes the advertisement to the electronic device according to the scene in which the electronic device is located.
  • the display screen of the electronic device automatically plays the universal advertisement provided from the advertisement distribution background in full screen.
  • the electronic device When an identity card is placed on the card reader of the electronic device, the electronic device instantaneously acquires identity information and pushes the identity information to the advertisement distribution background, and the advertisement distribution background is based on the identity information.
  • the gender, age, and household registration location push targeted advertisements to the electronic device.
  • the electronic device switches from a full-screen universal advertisement to a full-screen playback targeted advertisement, and plays a targeted advertisement for 3 seconds.
  • the gender of the identity information is female, the age is 20, and the household registration is Beijing, and then a certain one is pushed. Brand lipstick advertising.
  • the camera of the electronic device While the targeted advertisement is being played, the camera of the electronic device is turned on, the facial expression information of the user is acquired, and the facial expression information and attribute information of the user are transmitted to the advertisement distribution background in real time.
  • the facial expression information of the user is the response of the user to watch the advertisement, the expression smiles like, the expression is indifferent and does not like, and the facial expression information of the user can be uploaded to the advertisement distribution background as an optimization basis for subsequent advertisement distribution.
  • the electronic device while playing the targeted advertisement, the electronic device also obtains the ID card photo, name, and ID card local information of the user ID card according to the obtained ID image.
  • the process of obtaining the ID card photo, the name, and the ID card local information of the user ID card according to the ID card image takes a period of time, generally 3 seconds, that is, after the targeted advertisement is played, the electronic device can Obtain the local information of the ID card photo, name, and ID number of the user ID card.
  • the display screen displays the real-time video stream of the camera on a large area on the left side, and the display screen displays the ID card photo, name, and ID number of the user ID card on the right side of the small area. information.
  • the electronic device compares the user image captured by the camera in the live video stream with the ID card photo.
  • the large-area area on the right side of the display screen displays the real-time video stream of the camera, and the small area on the right side displays the result of the human witness comparison, and the duration is 5 seconds.
  • the display screen of the electronic device plays the precise advertisement in full screen, and the precise advertisement at this time is pushed by the advertisement distribution platform according to the facial expression information and attribute information of the obtained user. For example, a 20-year-old short-haired male who is not wearing glasses when playing a targeted advertisement, and a dark-skinned, push-out outdoor sports advertisement, has a continuous playing time of 10 seconds.
  • the electronic device After the completion of the playback of the precise advertisement, the electronic device automatically switches from full-screen playback of the precise advertisement to the full-screen playback of the general advertisement.
  • the general advertisement is an advertisement that is played when no one checks the person's card
  • the precise advertisement is a targeted advertisement that is pushed to the user after the person's card comparison.
  • the user's ID information is acquired, and the identity information of the user is obtained from the credential information, and the identity information of the user is sent to the content server, so that The content server determines second recommended content data of the user according to the identity information. And receiving the second recommended content data that is fed back by the content server, and displaying the recommended content corresponding to the second recommended content data on the verification operation interface, so that the targeted content data can be recommended without disturbing the user. While eliminating the boring and boring feeling of the user during the authentication process, the user can also obtain content data related to the user by using the waiting time of the authentication.
  • the user image is captured, and the user's facial expression information is acquired from the user image. And transmitting the facial expression information and the attribute information to the content server, and receiving, from the content server, third recommended content data corresponding to the facial expression information and the attribute information, and displaying the identity
  • the third recommended content data is presented, and the content data can be further accurately and unambiguously recommended to the user according to the facial expression reaction of the second recommended content data and the attribute information of the user, so as to maximize the recommendation effect.
  • the recommendation method of the content data of the embodiment is not limited to being executed by an electronic device having a face recognition function, and may be performed by any appropriate device having image or data processing capability, including but not limited to: a camera, a terminal, a mobile terminal, and a PC. , servers, in-vehicle devices, entertainment devices, advertising devices, PDAs, tablets, laptops, handheld game consoles, smart glasses, smart watches, wearable devices, virtual display devices or display enhancement devices (eg Google Glass, Oculus Rift, Hololens) , Gear VR) and so on.
  • FIG. 3 is a flow chart of a content data recommendation method based on an identity verification device according to a third embodiment of the present invention. As shown in FIG. 3, the content data recommendation method based on the identity verification apparatus of this embodiment includes the following steps:
  • step S301 the attribute information of the user transmitted by the terminal device is received.
  • the terminal device captures the user image in response to the operation of the identity verification, and acquires the attribute information of the user from the user image. After obtaining the attribute information of the user, the terminal device sends the attribute information of the user to the content server, and the content server receives the attribute information of the user sent by the terminal device.
  • the content server may be a server having an advertisement distribution function, and the attribute information of the user includes at least one of: skin color, hairstyle, whether to wear glasses, whether to wear jewelry, gender, age, hair color, whether makeup .
  • the identity verification device is an electronic device with an authentication function.
  • step S302 the first recommended content data of the user is determined according to the attribute information.
  • the content server determines the first recommended content data according to the attribute information.
  • the attribute information may be matched with the indicator information of the plurality of recommended content data respectively; and the attribute information is calculated based on the matching result. a matching score of the indicator information of each recommended content data; determining the first recommended content data according to the matching score.
  • the indicator information of each recommended content data may include at least one of the following: skin color information, hair style information, information on whether to wear glasses, information on whether to wear jewelry, gender information, age information, hair color information, whether makeup or not information.
  • the information of the user A's darker skin, the short hair information, the unworn glasses, and the jewelry may be respectively compared with the skin color information of the recommended content data. , hair style information, information on whether to wear glasses, and whether to wear jewelry information to match. If the skin color information of the recommended content data includes information with darker skin color, it indicates that the information of the skin color of the user A matches the skin color information of the recommended content data, and the corresponding matching score can be obtained. If the skin color information of the recommended content data does not include the darker skin color information, it indicates that the skin color information of the user A is not matched with the skin color information of the recommended content data, and the corresponding matching score cannot be obtained.
  • the hairstyle information of the recommended content data includes short hair information
  • the short hair information of the user A matches the hair style information of the recommended content data
  • the corresponding matching score can be obtained. If the hairstyle information of the recommended content data does not include the short message, it means that the short message of the user A does not match the hairstyle information of the recommended content data, and the corresponding matching score cannot be obtained. If the information of whether or not the recommended content data is worn is the unworn glasses, it is explained that the information of the user A's unworn glasses matches the information of the recommended content data whether or not the glasses are worn, and a corresponding matching score can be obtained.
  • the information of the recommended content data for wearing the glasses is the information for wearing the glasses, it is explained that the information of the glasses A of the user A does not match the information of whether or not the glasses of the recommended content data are worn, and the corresponding matching score cannot be obtained.
  • the information of the recommended content data to wear the jewelry is unworn jewelry, it is indicated that the information of the user A's unworn jewelry matches the information of the recommended content data whether or not the jewelry is worn, and the corresponding matching score can be obtained.
  • the information of the recommended content data to wear the jewelry is the information of wearing the jewelry, it indicates that the information of the user A's unworn jewelry does not match the information of the recommended content data whether or not the jewelry is worn, and the corresponding matching score cannot be obtained.
  • the matching score of each piece of information in the attribute information of the user A is accumulated, and a matching score of the attribute information of the user A and the indicator information of the recommended content data is obtained.
  • the recommended content data having the largest matching score is selected as the first recommended content data based on the matching score of the attribute information of the user A and the index information of the respective recommended content data. If there are two or more recommended content data with the highest matching score (two or more recommended content data have the same maximum matching score), the content server randomly selects one of the recommended content data with the largest matching score.
  • the content data is recommended as the first recommended content data.
  • the first recommended content data may be image data or video data including advertisement information.
  • step S303 the first recommended content data is pushed to the terminal device.
  • the content server pushes the first recommended content data to the terminal device.
  • the method for recommending the content data provided by the embodiment, receiving the attribute information of the user sent by the terminal device; determining the first recommended content data according to the attribute information of the user; and pushing the determined first recommended content data to the terminal device, Thereby it is possible to recommend accurate content data for the user.
  • the recommendation method of the content data of this embodiment is not limited to being executed by the content server, and may be performed by any appropriate device having image or data processing capability, including but not limited to: a camera, a terminal, a mobile terminal, a PC, a server, an in-vehicle device. , entertainment devices, advertising devices, PDAs, tablets, laptops, handheld game consoles, smart glasses, smart watches, wearable devices, virtual display devices or display enhancement devices (such as Google Glass, Oculus Rift, Hololens, Gear VR), etc. .
  • the content data recommendation method based on the identity verification apparatus of this embodiment includes the following steps:
  • step S401 the identity information of the user sent by the terminal device is received.
  • the terminal device acquires the credential information in response to the operation of the identity verification, and acquires the identity information of the user from the credential information. After obtaining the identity information of the user, the terminal device sends the identity information of the user to the content server, and the content server receives the identity information of the user sent by the terminal device.
  • the content server may be a server having an advertisement distribution function, and the identity information of the user includes at least one of the following: gender, age, household registration, birthday, and constellation.
  • the content server before receiving the identity information of the user sent by the terminal device, receives the identifier information sent by the terminal device, and determines the presentation duration and the content range of the accurate recommended content data according to the identifier information of the terminal device.
  • the identifier information may be a device code of the terminal device, and the device code identifies an application scenario of the terminal device.
  • the content server determines, according to the identification information of the terminal device, a scenario in which the terminal device is located, and a presentation duration and a content range of the accurate recommended content data corresponding to the scenario in which the terminal device is located. . For example, after comparing the Internet cafe scene people and documents, accurate advertisements such as game advertisements will be played. After the hotel scene and the documents are compared, accurate advertisements such as attraction advertisements will be played. The playing time of the precise advertisement needs to be set according to factors such as the speed of the person's flow in the actual scene.
  • step S402 the second recommended content data of the user is determined according to the identity information.
  • the content server determines the second recommended content data of the user according to the identity information.
  • the identity information may be matched with the indicator information of the plurality of recommended content data; and the identity information and each are calculated based on the matching result. a matching score of the indicator information of the recommended content data; determining the second recommended content data according to the matching score.
  • the indicator information of each recommended content data may include at least one of the following: gender information, age information, household registration information, skin color information, hair style information, information on whether to wear glasses, information on whether to wear jewelry, gender information, Age information, hair color information, and information on whether or not to make up.
  • the identity information of User B is female, 20 years old, and the household registration is Beijing
  • the information of the gender of the user B is female, the information of the age of 20, the information of the household registration location of Beijing, and the gender of the recommended content data.
  • Information, age information, and household registration location information are matched. If the gender information of the recommended content data includes a female, the information indicating that the gender of the user B is female matches the gender information of the recommended content data, and the corresponding matching score obtained is 0.3. If the gender information of the recommended content data does not include a female, the information indicating that the gender of the user B is not matched with the gender information of the recommended content data, and the corresponding matching score is 0.
  • the age information of the recommended content data includes 20 years old
  • the information indicating that the age B of the user B is 20 years old matches the age information of the recommended content data
  • the corresponding matching score obtained is 0.4. If the age information of the recommended content data does not include 20 years old, the information indicating that the age of the user B is 20 years old does not match the age information of the recommended content data, and the corresponding matching score obtained is 0. If the information of the household registration location of the recommended content data includes Beijing, it indicates that the information of the household registration location of the user B matches the information of the household registration location of the recommended content data, and the corresponding matching score obtained is 0.3.
  • the information of the household registration location of the recommended content data does not include Beijing, it indicates that the information of the household registration of the user B does not match the information of the household registration location of the recommended content data, and the corresponding matching score obtained is 0. Then, the matching score of each piece of information in the identity information of the user B is accumulated, and a matching score of the identity information of the user B and the indicator information of the recommended content data is obtained. Finally, based on the matching score of the attribute information of the user B and the indicator information of the respective recommended content data, the recommended content data having the largest matching score is selected as the second recommended content data. If there are two or more recommended content data having the same maximum matching score, the content server randomly selects one recommended content data as the second recommended content data from the recommended content data having the largest matching score.
  • the second recommended content data may be image data or video data including advertisement information.
  • user B's identity information is female, age 20, and household registration is Beijing; brand 1 lipstick advertising is for women, ages 20-30, and household registration is Beijing, Shanghai, Guangzhou, Shenzhen and other first-tier cities; The brand 2 lipstick advertising is for women, aged between 20 and 30, and the household registration is second-tier cities such as Changsha, Hefei and Shenyang.
  • the identity information of the user B is matched with the indicator information of the two advertisements.
  • step S403 the second recommended content data is pushed to the terminal device.
  • the content server pushes the second recommended content data to the terminal device.
  • step S404 after the second recommended content data is pushed to the terminal device, the facial expression information and attribute information of the user transmitted by the terminal device are received.
  • the terminal device after receiving the second recommended content data pushed by the content server, displays the second recommended content data on its display screen.
  • the camera of the terminal device In the process of displaying the second recommended content data, the camera of the terminal device is in an open state, acquiring an image that the user views the second recommended content data, and acquiring facial expression information of the user from the image.
  • the terminal device After acquiring the facial expression information and the attribute information of the user, the terminal device sends the acquired facial expression information and attribute information to the content server.
  • the attribute information of the user may include: a skin color, a hairstyle, whether to wear glasses, whether to wear jewelry, gender, age, hair color, whether makeup, and the facial expression information is a face for the user to view the second recommended content data. expression.
  • step S405 the third recommended content data of the user is determined according to the facial expression information and the attribute information.
  • the content server determines the third recommended content of the user according to the facial expression information and the attribute information. data.
  • the type of the third recommended content data may be determined according to the facial expression information; and the attribute information is The index information of the plurality of recommended content data under the type is matched; the matching score of the attribute information and the indicator information of each recommended content data under the type is calculated based on the matching result; and the determining is determined according to the matching score Third recommended content data.
  • the indicator information of each recommended content data may include gender information, age information, household registration information, skin color information, hair style information, information on whether to wear glasses, information on whether to wear jewelry, gender information, age information, color information, Whether to make up the information.
  • the facial expression information is a facial expression that the user views the second recommended content data. If the facial expression is displayed as a positive expression such as happy, it indicates that the recommended content data of the type is subject to the user's attention and preference, and the follow-up will continue to deliver the same type of recommended content data; if the facial expression is displayed as a negative expression such as annoying, The type of recommended content data is objectionable to the user, and subsequent types of recommended content data will not continue to be served.
  • the attribute information may be matched with the indicator information of the plurality of recommended content data under the type; and the attribute is calculated based on the matching result. a matching score of the information with the indicator information of each recommended content data under the type; determining the third recommended content data according to the matching score.
  • the specific matching process is similar to the step S302 in the third embodiment, and details are not described herein again.
  • the fourth recommended content data may also be determined according to the identity information of the user obtained in step S401 and the facial expression information and attribute information of the user obtained in step S404.
  • the type of the fourth recommended content data may be determined according to the facial expression information; and the attribute information and the identity information are matched with the indicator information of the plurality of recommended content data under the type; And calculating, according to the matching result, a matching score of the attribute information and the identifier information of the identifier information of each piece of recommended content data under the type; and determining the fourth recommended content data according to the matching score.
  • the matching process is similar to the step S302 in the third embodiment, and details are not described herein again.
  • step S406 the third recommended content data is pushed to the terminal device.
  • the content server pushes the third recommended content data to the terminal device.
  • the recommendation method of the content data provided by the embodiment, receiving the identity information of the user sent by the terminal device; determining the second recommended content data of the user according to the identity information of the user; and pushing the determined second recommended content data To the terminal device, it is possible to recommend content data related to itself for the user.
  • the facial expression information and the attribute information of the user sent by the terminal device are received, and the third recommended content data is determined according to the facial expression information of the user and the attribute information.
  • the determined third recommended content data is further pushed to the terminal device, so that the user can recommend accurate content data related to itself.
  • the recommendation method of the content data of this embodiment is not limited to being executed by the content server, and may be performed by any suitable device having image or data processing capability, including but not limited to: a camera, a terminal, a mobile terminal, a PC, a server, an in-vehicle device, Entertainment devices, advertising devices, PDAs, tablets, laptops, handheld game consoles, smart glasses, smart watches, wearable devices, virtual display devices or display enhancement devices (such as Google Glass, Oculus Rift, Hololens, Gear VR).
  • a camera a terminal, a mobile terminal, a PC, a server, an in-vehicle device, Entertainment devices, advertising devices, PDAs, tablets, laptops, handheld game consoles, smart glasses, smart watches, wearable devices, virtual display devices or display enhancement devices (such as Google Glass, Oculus Rift, Hololens, Gear VR).
  • FIG. 5 is a block diagram showing the structure of a content data recommending apparatus based on an identity verification apparatus according to Embodiment 5 of the present invention.
  • the content verification method-based content data recommendation method flow as described in the first embodiment can be performed.
  • the content data recommendation apparatus includes a first acquisition module 501, a first transmission module 502, and a first receiving module 503.
  • the first obtaining module 501 is configured to acquire a first image of the user, and obtain attribute information of the user from the first image, in response to the operation of the identity verification;
  • the first sending module 502 is configured to send the attribute information obtained by the first acquiring module 501 to the content server, so that the content server determines the first recommended content data of the user according to the attribute information;
  • the first receiving module 503 is configured to receive the first recommended content data that is fed back by the content server, and display the recommended content corresponding to the first recommended content data.
  • the content data recommendation device obtained by the embodiment obtains the user image in response to the operation of the identity verification, acquires the attribute information of the user from the user image, and sends the attribute information of the user to the content server, so that the content server is configured according to the content server.
  • the attribute information is used to determine the recommended content data of the user; the recommended content data fed back by the content server is received, and the recommended content corresponding to the recommended content data is displayed, so that the user can be recommended without any interruption.
  • the data not only eliminates the boring and boring feeling of the user in the authentication process, but also can obtain the content data related to the user by using the waiting time of the authentication to maximize the recommendation effect.
  • FIG. 6 is a schematic structural diagram of a content data recommendation apparatus based on an identity verification apparatus according to Embodiment 6 of the present invention.
  • the content verification method-based content data recommendation method flow as described in the second embodiment can be performed.
  • the content data recommendation apparatus includes a first acquisition module 601, a first transmission module 602, and a first reception module 603.
  • the first obtaining module 601 is configured to acquire the first image of the user, and obtain the attribute information of the user from the first image, in response to the operation of the identity verification.
  • the first sending module 602 is configured to: The attribute information obtained by the obtaining module 601 is sent to the content server, so that the content server determines the first recommended content data of the user according to the attribute information; the first receiving module 603 is configured to receive the content server feedback.
  • the first recommended content data the recommended content corresponding to the first recommended content data.
  • the device further includes: an identity verification module 604, configured to acquire the user's ID information when the first acquisition module 601 acquires the first image of the user; according to the first image and the The identity information is authenticated and the result of the authentication is obtained.
  • an identity verification module 604 configured to acquire the user's ID information when the first acquisition module 601 acquires the first image of the user; according to the first image and the The identity information is authenticated and the result of the authentication is obtained.
  • the identity verification module 604 includes: a first obtaining submodule 6041 configured to identify information in the credential chip by the card reader, and obtain the credential information of the user based on the information in the credential chip.
  • the identity verification module 604 includes: a second acquisition submodule 6042 configured to identify image information in the certificate image by the OCR module, and obtain the user's ID information based on the image information.
  • FIG. 7 is a schematic structural diagram of a content data recommendation apparatus based on an identity verification apparatus according to Embodiment 7 of the present invention.
  • the content verification method-based content data recommendation method flow as described in the second embodiment can be performed.
  • the content data recommendation apparatus includes a first acquisition module 701, a first transmission module 702, and a first receiving module 703.
  • the first obtaining module 701 is configured to acquire the first image of the user and obtain the attribute information of the user from the first image in response to the operation of the identity verification.
  • the first sending module 702 is configured to: The attribute information obtained by the obtaining module 701 is sent to the content server, so that the content server determines the first recommended content data of the user according to the attribute information; the first receiving module 703 is configured to receive the content server feedback.
  • the first recommended content data the recommended content corresponding to the first recommended content data.
  • the apparatus further includes: an extraction module 704, configured to: after the identity verification module acquires the user's ID information, extract the identity information of the user from the credential information; the second sending module 705, configure Sending the identity information to the content server, so that the content server determines the second recommended content data of the user according to the identity information; and the second receiving module 706 is configured to receive the feedback from the content server.
  • the second recommended content data exhibits recommended content corresponding to the second recommended content data.
  • the device further includes: a second obtaining module 707, configured to acquire a second image of the user in the process that the second receiving module displays the recommended content corresponding to the second recommended content data, Acquiring the facial expression information of the user from the second image; the third sending module 708 is configured to send the facial expression information and the attribute information obtained by the second obtaining module 707 to the content server And the content server determines the third recommended content data of the user according to the facial expression information and the attribute information; the third receiving module 709 is configured to receive the third recommended content that is fed back by the content server. Data, showing recommended content corresponding to the third recommended content data.
  • the identity information comprises at least one of the following: gender, age, domicile, birthday, constellation.
  • the attribute information includes at least one of: skin color, hairstyle, whether to wear glasses, whether to wear jewelry, gender, age, hair color, whether makeup.
  • FIG. 8 is a block diagram showing the structure of a content data recommending apparatus based on an identity verification apparatus according to Embodiment 8 of the present invention.
  • An identity verification device-based content data recommendation method flow as described in the third embodiment can be performed.
  • the content data recommendation device includes a fourth receiving module 801, a first determining module 802, and a fourth transmitting module 803.
  • the fourth receiving module 801 is configured to receive attribute information of the user sent by the terminal device
  • the first determining module 802 is configured to determine, according to the attribute information received by the fourth receiving module 801, the first recommended content data of the user;
  • the fourth sending module 803 is configured to push the first recommended content data determined by the first determining module 802 to the terminal device.
  • the content data recommendation device receives the attribute information of the user sent by the terminal device, and determines the first recommended content data according to the attribute information of the user; and then pushes the determined first recommended content data to the terminal device, thereby Ability to recommend accurate content data to users.
  • FIG. 9 is a schematic structural diagram of a content data recommendation apparatus based on an identity verification apparatus according to Embodiment 9 of the present invention.
  • An identity verification device based content data recommendation method flow as described in the fourth embodiment can be performed.
  • the content data recommendation device includes a fourth receiving module 901, a first determining module 902, and a fourth transmitting module 903.
  • the fourth receiving module 901 is configured to receive the attribute information of the user that is sent by the terminal device.
  • the first determining module 902 is configured to determine the first recommendation of the user according to the attribute information received by the fourth receiving module 901.
  • the fourth sending module 903 is configured to push the first recommended content data determined by the first determining module 902 to the terminal device.
  • the first determining module 902 is configured to: match the attribute information with the indicator information of the plurality of recommended content data, and calculate the attribute information and each recommended content data based on the matching result. a matching score of the indicator information; determining the first recommended content data according to the matching score.
  • the device further includes: a fifth receiving module 904, configured to: after receiving the attribute information of the user sent by the terminal device, receive the identity information of the user sent by the terminal device;
  • the determining module 905 is configured to determine the second recommended content data of the user according to the identity information received by the fifth receiving module 904, and the fifth sending module 906 is configured to determine the location determined by the second determining module 905 The second recommended content data is pushed to the terminal device.
  • the second determining module 905 is configured to: match the identity information with the indicator information of the plurality of recommended content data; and calculate an indicator of the identity information and each recommended content data based on the matching result. a matching score of the information; determining the second recommended content data according to the matching score.
  • FIG. 10 is a schematic structural diagram of a content data recommendation apparatus based on an identity verification apparatus according to Embodiment 10 of the present invention.
  • An identity verification device based content data recommendation method flow as described in the fourth embodiment can be performed.
  • the content data recommending apparatus includes a fourth receiving module 1001, a first determining module 1002, and a fourth transmitting module 1003.
  • the fourth receiving module 1001 is configured to receive the attribute information of the user that is sent by the terminal device.
  • the first determining module 1002 is configured to determine the first recommendation of the user according to the attribute information received by the fourth receiving module 1001.
  • the fourth sending module 1003 is configured to push the first recommended content data determined by the first determining module 1002 to the terminal device.
  • the apparatus further includes: a sixth receiving module 1004, configured to: after the fifth sending module pushes the second recommended content data to the terminal device, receive the user sent by the terminal device a facial expression information and attribute information; a third determining module 1005, configured to determine third recommended content data of the user according to the facial expression information and the attribute information received by the sixth receiving module 1004; The sending module 1006 is configured to push the third recommended content data determined by the third determining module 1005 to the terminal device.
  • a sixth receiving module 1004 configured to: after the fifth sending module pushes the second recommended content data to the terminal device, receive the user sent by the terminal device a facial expression information and attribute information
  • a third determining module 1005 configured to determine third recommended content data of the user according to the facial expression information and the attribute information received by the sixth receiving module 1004
  • the sending module 1006 is configured to push the third recommended content data determined by the third determining module 1005 to the terminal device.
  • the third determining module 1005 is configured to: determine, according to the facial expression information, a type to which the third recommended content data belongs; and use the attribute information and multiple recommendations under the type The indicator information of the content data is matched; the matching score of the attribute information and the indicator information of each recommended content data under the type is calculated based on the matching result; and the third recommended content data is determined according to the matching score.
  • the identity information comprises at least one of the following: gender, age, domicile, birthday, constellation.
  • the attribute information includes at least one of: skin color, hairstyle, whether to wear glasses, whether to wear jewelry, gender, age, hair color, whether makeup.
  • the embodiment of the invention further provides an electronic device, which may be, for example, a mobile terminal, a PC, a tablet computer, a server, or the like.
  • an electronic device which may be, for example, a mobile terminal, a PC, a tablet computer, a server, or the like.
  • the electronic device 1100 includes one or more first processors, a first communication component, etc., the one or more first processors such as: one or more central processing units (CPUs) 1101, and / or one or more image processor (GPU) 1113, etc., the first processor may be loaded into random access memory (RAM) 1103 according to executable instructions stored in read only memory (ROM) 1102 or from storage portion 1108.
  • RAM random access memory
  • ROM read only memory
  • the executable instructions execute various appropriate actions and processes.
  • the first read only memory 1102 and the random access memory 1103 are collectively referred to as a first memory.
  • the first communication component includes a communication component 1112 and/or a communication interface 1109.
  • the communication component 1112 can include, but is not limited to, a network card.
  • the network card can include, but is not limited to, an IB (Infiniband) network card.
  • the communication interface 1109 includes a communication interface of a network interface card such as a local area network (LAN) card, a modem, or the like.
  • the communication interface 1109 performs communication processing via a network such as the Internet.
  • the first processor can communicate with read only memory 1102 and/or random access memory 1103 to execute executable instructions, connect to communication component 1112 via first communication bus 1104, and communicate with other target devices via communication component 1112, thereby completing The operation corresponding to the content data recommendation method of the identity verification device provided by the embodiment of the present invention, for example, in response to the operation of the identity verification, acquiring the first image of the user, and acquiring the attribute of the user from the first image Transmitting the attribute information to the content server, so that the content server determines the first recommended content data of the user according to the attribute information; receiving the first recommended content data fed back by the content server, and displaying The recommended content corresponding to the first recommended content data.
  • RAM 1103 various programs and data required for the operation of the device can be stored.
  • the CPU 1101 or the GPU 1113, the ROM 1102, and the RAM 1103 are connected to each other through the first communication bus 1104.
  • ROM 1102 is an optional module.
  • the RAM 1103 stores executable instructions or writes executable instructions to the ROM 1102 at runtime, the executable instructions causing the first processor to perform operations corresponding to the above-described communication methods.
  • An input/output (I/O) interface 1105 is also coupled to the first communication bus 1104.
  • the communication component 1112 can be integrated or can be configured to have multiple sub-modules (e.g., multiple IB network cards) and be on a communication bus link.
  • the following components are connected to the I/O interface 1105: an input portion 1106 including a keyboard, a mouse, etc.; an output portion 1107 including a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a speaker; a storage portion 1108 including a hard disk or the like And a communication interface 1109 including a network interface card such as a LAN card, modem, or the like.
  • Driver 1110 is also connected to I/O interface 1105 as needed.
  • a removable medium 1111 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory or the like is mounted on the drive 1110 as needed so that a computer program read therefrom is installed into the storage portion 1108 as needed.
  • FIG. 11 is only an optional implementation manner.
  • the number and type of components in the foregoing FIG. 11 may be selected, deleted, added, or replaced according to actual needs;
  • Different function components can also be implemented in separate settings or integrated settings, such as GPU and CPU detachable settings or GPU can be integrated on the CPU, communication components can be separated, or integrated on the CPU or GPU. and many more.
  • an embodiment of the invention includes a computer program product comprising a computer program tangibly embodied on a machine readable medium, the computer program comprising program code for executing the method illustrated in the flowchart, the program code comprising the corresponding execution
  • An instruction corresponding to the method step provided by the embodiment of the present invention for example, in response to an operation of the identity verification, acquiring a first image of the user, and acquiring attribute information of the user from the first image; and transmitting the attribute information to the content Determining, by the server, the first recommended content data of the user according to the attribute information; receiving the first recommended content data fed back by the content server, and displaying a recommendation corresponding to the first recommended content data content.
  • the computer program can be downloaded and installed from the network via a communication component, and/or installed from removable media 1111.
  • the embodiment of the invention further provides an electronic device, which may be, for example, a mobile terminal, a PC, a tablet computer, a server, or the like.
  • an electronic device which may be, for example, a mobile terminal, a PC, a tablet computer, a server, or the like.
  • the electronic device 1200 includes one or more second processors, a second communication component, etc., the one or more second processors such as one or more central processing units (CPUs) 1201, and / or one or more image processor (GPU) 1213, etc., the second processor may be loaded into random access memory (RAM) 1203 according to executable instructions stored in read only memory (ROM) 1202 or from storage portion 1208.
  • RAM random access memory
  • ROM read only memory
  • the executable instructions execute various appropriate actions and processes.
  • the second read only memory 1202 and the random access memory 1203 are collectively referred to as a second memory.
  • the second communication component includes a communication component 1212 and/or a communication interface 1209.
  • the communication component 1212 may include, but is not limited to, a network card, which may include, but is not limited to, an IB (Infiniband) network card
  • the communication interface 1209 includes a communication interface of a network interface card such as a LAN card, a modem, etc.
  • the communication interface 1209 is via an Internet connection, for example
  • the network performs communication processing.
  • the second processor can communicate with read only memory 1202 and/or random access memory 1203 to execute executable instructions, connect to communication component 1212 via second communication bus 1204, and communicate with other target devices via communication component 1212, thereby completing The operation corresponding to the content data recommendation method of the identity verification device provided by the embodiment of the present invention, for example, receiving the attribute information of the user sent by the terminal device; determining the first recommended content data of the user according to the attribute information; Pushing the first recommended content data to the terminal device.
  • RAM 1203 various programs and data required for the operation of the device can be stored.
  • the CPU 1201 or the GPU 1213, the ROM 1202, and the RAM 1203 are connected to each other through the second communication bus 1204.
  • ROM 1202 is an optional module.
  • the RAM 1203 stores executable instructions, or writes executable instructions to the ROM 1202 at runtime, the executable instructions causing the second processor to perform operations corresponding to the above-described communication methods.
  • An input/output (I/O) interface 1205 is also coupled to the second communication bus 1204.
  • the communication component 1212 can be integrated or can be configured to have multiple sub-modules (e.g., multiple IB network cards) and be on a communication bus link.
  • the following components are connected to the I/O interface 1205: an input portion 1206 including a keyboard, a mouse, etc.; an output portion 1207 including a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a speaker; a storage portion 1208 including a hard disk or the like And a communication interface 1209 including a network interface card such as a LAN card, modem, or the like.
  • Driver 1210 is also coupled to I/O interface 1205 as needed.
  • a removable medium 1211 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory or the like, is mounted on the drive 1210 as needed so that a computer program read therefrom is installed into the storage portion 1208 as needed.
  • FIG. 12 is only an optional implementation manner.
  • the number and type of components in the foregoing FIG. 12 may be selected, deleted, added, or replaced according to actual needs;
  • Different function components can also be implemented in separate settings or integrated settings, such as GPU and CPU detachable settings or GPU can be integrated on the CPU, communication components can be separated, or integrated on the CPU or GPU. and many more.
  • an embodiment of the invention includes a computer program product comprising a computer program tangibly embodied on a machine readable medium, the computer program comprising program code for executing the method illustrated in the flowchart, the program code comprising the corresponding execution
  • the instruction corresponding to the method step provided by the embodiment of the present invention for example, receiving attribute information of the user sent by the terminal device; determining first recommended content data of the user according to the attribute information; and pushing the first recommended content data to The terminal device.
  • the computer program can be downloaded and installed from the network via a communication component, and/or installed from the removable media 1211.
  • the above-described functions defined in the method of the embodiments of the present invention are performed when the computer program is executed by the second processor.
  • the above method according to an embodiment of the present invention may be implemented in hardware, firmware, or implemented as software or computer code that may be stored in a recording medium such as a CD ROM, a RAM, a floppy disk, a hard disk, or a magneto-optical disk, or implemented by
  • the network downloads computer code originally stored in a remote recording medium or non-transitory machine readable medium and stored in a local recording medium so that the methods described herein can be stored using a general purpose computer, a dedicated processor or programmable
  • Such software processing on a recording medium of dedicated hardware such as an ASIC or an FPGA.
  • a computer, processor, microprocessor controller or programmable hardware includes storage components (eg, RAM, ROM, flash memory, etc.) that can store or receive software or computer code, when the software or computer code is The processing methods described herein are implemented when the processor or hardware is accessed and executed. Moreover, when a general purpose computer accesses code for implementing the processing shown herein, the execution of the code converts the general purpose computer into a special purpose computer for performing the processing shown herein.

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Abstract

本发明实施例公开了一种基于身份验证装置的内容数据推荐方法、装置和存储介质，涉及信息处理领域。其中，所述方法包括：响应于身份验证的操作，获取用户的第一图像，从所述第一图像中获取用户的属性信息；将所述属性信息发送给内容服务器，以使所述内容服务器根据所述属性信息确定所述用户的第一推荐内容数据；接收所述内容服务器反馈的所述第一推荐内容数据，展现所述第一推荐内容数据对应的推荐内容。

Description

基于身份验证装置的内容数据推荐方法、装置和存储介质
相关申请的交叉引用
本申请要求在2017年9月21日提交中国专利局、申请号为201710862046.8、发明名称为“基于身份验证装置的内容数据推荐方法、装置和存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明涉及信息处理技术领域，尤其涉及一种基于身份验证装置的内容数据推荐方法、装置和存储介质。
背景技术
随着商业社会的发展，商品日益丰富，商品的广告投放也是无处不在。但当今社会的信息爆炸，使人们对铺天盖地的广告没有兴趣。人们也不能在众多广告中快速寻觅到与自身相关的商品广告。
人-证比对装置在生活中应用得越来越广泛，例如电信营业厅、银行、网吧、酒店等场所。当人们在这些场所办理业务时，首先要进行人和证件的比对。现有的人-证比对装置只有检测和识别的功能，没有任何其它的媒体推送功能，而在人和证件比对时，需要用户在装置前停留一段时间，也需要用户目视前方，而前方没有任何信息的显示，更没有商业信息的显示。在这个过程中，人们有关注度的闲置，会感觉到枯燥和无聊。
发明内容
本发明实施例的目的在于，提供一种基于身份验证装置的内容数据推荐的技术方案。
根据本发明实施例的第一方面，提供了一种基于身份验证装置的内容数据推荐方法。所述方法包括：响应于身份验证的操作，获取用户的第一图像，从所述第一图像中获取用户的属性信息；将所述属性信息发送给内容服务器，以使所述内容服务器根据所述属性信息确定所述用户的第一推荐内容数据；接收所述内容服务器反馈的所述第一推荐内容数据，展现所述第一推荐内容数据对应的推荐内容。
在一实施例中，所述获取用户的第一图像时，所述方法还包括：获取 用户的证件信息；根据所述第一图像和所述证件信息进行身份验证，获得身份验证的结果。
在一实施例中，所述获取用户的证件信息，包括：通过读卡器识别证件芯片中的信息，基于所述证件芯片中的信息获取用户的证件信息。
在一实施例中，所述获取用户的证件信息，包括：通过光学字符识别(OCR，Optical Character Recognition)模块识别证件图像中的图像信息，基于所述图像信息获取用户的证件信息。
在一实施例中，所述获取用户的证件信息之后，所述方法还包括：从所述证件信息中提取用户的身份信息；将所述身份信息发送给所述内容服务器，以使所述内容服务器根据所述身份信息确定所述用户的第二推荐内容数据；接收所述内容服务器反馈的所述第二推荐内容数据，展现所述第二推荐内容数据对应的推荐内容。
在一实施例中，在展现所述第二推荐内容数据对应的推荐内容的过程中，所述方法还包括：获取用户的第二图像，从所述第二图像中获取用户的人脸表情信息；将所述人脸表情信息和所述属性信息发送给所述内容服务器，以使所述内容服务器根据所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据；接收所述内容服务器反馈的所述第三推荐内容数据，展现所述第三推荐内容数据对应的推荐内容。
在一实施例中，所述身份信息包括以下中的至少一者：性别、年龄、户籍地、生日、星座。
在一实施例中，所述属性信息包括以下中的至少一者：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。
根据本发明实施例的第二方面，提供了一种基于身份验证装置的内容数据推荐方法。所述方法包括：接收终端设备发送的用户的属性信息；根据所述属性信息确定所述用户的第一推荐内容数据；将所述第一推荐内容数据推送至所述终端设备。
在一实施例中，所述根据所述属性信息确定所述用户的第一推荐内容数据，包括：将所述属性信息分别与多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述属性信息与各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第一推荐内容数据。
在一实施例中，在接收终端设备发送的用户的属性信息之后，所述方法还包括：接收终端设备发送的用户的身份信息；根据所述身份信息确定所述用户的第二推荐内容数据；将所述第二推荐内容数据推送至所述终端设备。
在一实施例中，所述根据所述身份信息确定所述用户的第二推荐内容数据，包括：将所述身份信息与多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述身份信息与各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第二推荐内容数据。
在一实施例中，在将所述第二推荐内容数据推送至所述终端设备之后，所述方法还包括：接收终端设备发送的用户的人脸表情信息和属性信息；根据所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据；将所述第三推荐内容数据推送至所述终端设备。
在一实施例中，所述根据所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据，包括：根据所述人脸表情信息确定所述第三推荐内容数据所属的类型；将所述属性信息与所述类型下的多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述属性信息与所述类型下的各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第三推荐内容数据。
在一实施例中，所述身份信息包括以下中的至少一者：性别、年龄、户籍地、生日、星座。
在一实施例中，所述属性信息包括以下中的至少一者：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。
根据本发明实施例的第三方面，提供了一种基于身份验证装置的内容数据推荐装置。所述装置包括：第一获取模块，配置为响应于身份验证的操作，获取用户的第一图像，从所述第一图像中获取用户的属性信息；第一发送模块，配置为将所述第一获取模块获得的所述属性信息发送给内容服务器，以使所述内容服务器根据所述属性信息确定所述用户的第一推荐内容数据；第一接收模块，配置为接收所述内容服务器反馈的所述第一推荐内容数据，展现所述第一推荐内容数据对应的推荐内容。
在一实施例中，所述装置还包括：身份验证模块，配置为在所述第一获取模块获取用户的第一图像时，获取用户的证件信息；根据所述第一图像和所述证件信息进行身份验证，获得身份验证的结果。
在一实施例中，所述身份验证模块，包括：第一获取子模块，配置为通过读卡器识别证件芯片中的信息，基于所述证件芯片中的信息获取用户的证件信息。
在一实施例中，所述身份验证模块，包括：第二获取子模块，配置为通过OCR模块识别证件图像中的图像信息，基于所述图像信息获取用户的证件信息。
在一实施例中，所述装置还包括：提取模块，配置为在所述身份验证模块获取用户的证件信息之后，从所述证件信息中提取用户的身份信息；第二发送模块，配置为将所述身份信息发送给所述内容服务器，以使所述内容服务器根据所述身份信息确定所述用户的第二推荐内容数据；第二接收模块，配置为接收所述内容服务器反馈的所述第二推荐内容数据，展现所述第二推荐内容数据对应的推荐内容。
在一实施例中，所述装置还包括：第二获取模块，配置为在所述第二接收模块展现所述第二推荐内容数据对应的推荐内容的过程中，获取用户 的第二图像，从所述第二图像中获取用户的人脸表情信息；第三发送模块，配置为将所述第二获取模块获得的所述人脸表情信息和所述属性信息发送给所述内容服务器，以使所述内容服务器根据所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据；第三接收模块，配置为接收所述内容服务器反馈的所述第三推荐内容数据，展现所述第三推荐内容数据对应的推荐内容。
在一实施例中，所述身份信息包括以下中的至少一者：性别、年龄、户籍地、生日、星座。
在一实施例中，所述属性信息包括以下中的至少一者：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。
根据本发明实施例的第四方面，提供了一种基于身份验证装置的内容数据推荐装置。所述装置包括：第四接收模块，配置为接收终端设备发送的用户的属性信息；第一确定模块，配置为根据所述第四接收模块接收的所述属性信息确定所述用户的第一推荐内容数据；第四发送模块，配置为将所述第一确定模块确定的所述第一推荐内容数据推送至所述终端设备。
在一实施例中，所述第一确定模块，配置为：将所述属性信息分别与多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述属性信息与各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第一推荐内容数据。
在一实施例中，所述装置还包括：第五接收模块，配置为在所述第四接收模块接收终端设备发送的用户的属性信息之后，接收终端设备发送的用户的身份信息；第二确定模块，配置为根据所述第五接收模块接收的所述身份信息确定所述用户的第二推荐内容数据；第五发送模块，配置为将所述第二确定模块确定的所述第二推荐内容数据推送至所述终端设备。
在一实施例中，所述第二确定模块，配置为：将所述身份信息与多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述身份信息与各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第二推荐内容数据。
在一实施例中，所述装置还包括：第六接收模块，配置为在所述第五发送模块将所述第二推荐内容数据推送至所述终端设备之后，接收终端设备发送的用户的人脸表情信息和属性信息；第三确定模块，配置为根据所述第六接收模块接收的所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据；第六发送模块，配置为将所述第三确定模块确定的所述第三推荐内容数据推送至所述终端设备。
在一实施例中，所述第三确定模块，配置为：根据所述人脸表情信息确定所述第三推荐内容数据所属的类型；将所述属性信息与所述类型下的多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述属性信息与所述类型下的各个推荐内容数据的指标信息的匹配得分；根据所述 匹配得分确定所述第三推荐内容数据。
在一实施例中，所述身份信息包括以下中的至少一者：性别、年龄、户籍地、生日、星座。
在一实施例中，所述属性信息包括以下中的至少一者：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。
根据本发明实施例的第五方面，提供了一种计算机可读存储介质，其上存储有计算机程序指令，其中，所述程序指令被处理器执行时实现本发明实施例第一方面所述的基于身份验证装置的内容数据推荐方法的步骤；或者，所述程序指令被处理器执行时实现本发明实施例第二方面所述的基于身份验证装置的内容数据推荐方法的步骤。
根据本发明实施例的第六方面，提供了一种计算机程序产品，其包括有计算机程序指令，其中，所述程序指令被处理器执行时实现本发明实施例第一方面所述的基于身份验证装置的内容数据推荐方法的步骤；或者，所述程序指令被处理器执行时实现本发明实施例第二方面所述的基于身份验证装置的内容数据推荐方法的步骤。
根据本发明实施例的第七方面，提供了一种电子设备，包括：第一处理器、第一存储器、第一通信元件和第一通信总线，所述第一处理器、所述第一存储器和所述第一通信元件通过所述第一通信总线完成相互间的通信；所述第一存储器用于存放至少一可执行指令，所述可执行指令使所述第一处理器执行如本发明实施例第一方面所述的基于身份验证装置的内容数据推荐方法的步骤。
根据本发明实施例的第八方面，提供了一种电子设备，包括：第二处理器、第二存储器、第二通信元件和第二通信总线，所述第二处理器、所述第二存储器和所述第二通信元件通过所述第二通信总线完成相互间的通信；所述第二存储器用于存放至少一可执行指令，所述可执行指令使所述第二处理器执行如本发明实施例第二方面所述的基于身份验证装置的内容数据推荐方法的步骤。
根据本发明实施例提供的技术方案，响应于身份验证的操作，获取用户图像，从用户图像中获取用户的属性信息，并将用户的属性信息发送给内容服务器，以使所述内容服务器根据所述属性信息确定所述用户的推荐内容数据；接收所述内容服务器反馈的所述推荐内容数据，并展现所述推荐内容数据对应的推荐内容，从而能够对用户无打扰地推荐精准化的内容数据，既消除了用户在身份验证过程中的枯燥和无聊的感觉，又可以利用身份验证的等待时间获取与用户相关的内容数据，达到推荐效果的最大化。
附图说明
图1是根据本发明实施例一的一种基于身份验证装置的内容数据推荐 方法的流程图；
图2是根据本发明实施例二的一种基于身份验证装置的内容数据推荐方法的流程图；
图3是根据本发明实施例三的一种基于身份验证装置的内容数据推荐方法的流程图；
图4是根据本发明实施例四的一种基于身份验证装置的内容数据推荐方法的流程图；
图5是根据本发明实施例五的一种基于身份验证装置的内容数据推荐装置的结构示意图；
图6是根据本发明实施例六的一种基于身份验证装置的内容数据推荐装置的结构示意图；
图7是根据本发明实施例七的一种基于身份验证装置的内容数据推荐装置的结构示意图；
图8是根据本发明实施例八的一种基于身份验证装置的内容数据推荐装置的结构示意图；
图9是根据本发明实施例九的一种基于身份验证装置的内容数据推荐装置的结构示意图；
图10是根据本发明实施例十的一种基于身份验证装置的内容数据推荐装置的结构示意图；
图11是根据本发明实施例十一的一种电子设备的结构示意图；
图12是根据本发明实施例十二的一种电子设备的结构示意图。
具体实施方式
下面结合附图(若干附图中相同的标号表示相同的元素)和实施例，对本发明实施例的具体实施方式作进一步详细说明。以下实施例用于说明本发明，但不用来限制本发明的范围。
本领域技术人员可以理解，本发明实施例中的“第一”、“第二”等术语仅用于区别不同步骤、设备或模块等，既不代表任何特定技术含义，也不表示它们之间的必然逻辑顺序。
实施例一
图1是根据本发明实施例一的一种基于身份验证装置的内容数据推荐方法的流程图。如图1所示，本实施例的基于身份验证装置的内容数据推荐方法包括以下步骤：
在步骤S101中，响应于身份验证的操作，获取用户的第一图像，从所述第一图像中获取用户的属性信息。
其中，所述第一图像可为视频帧序列中的视频图像。具体地，所述第一图像可包括用户的头部图像。所述属性信息包括以下至少之一：肤色、 发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。所述身份验证装置为具有身份验证功能的电子设备。
在具体的实施方式中，可基于深度学习的方法从用户的第一图像中获取用户的属性信息。可以理解的是，本发明实施例不限于使用深度学习的方法从用户图像中获取用户的属性信息，任何可从用户图像中获取用户的属性信息的方法均可适用于此。
在步骤S102中，将所述属性信息发送给内容服务器，以使所述内容服务器根据所述属性信息确定所述用户的第一推荐内容数据。
其中，所述内容服务器可为具有广告分发功能的服务器，所述第一推荐内容数据可为包含广告信息的图像数据或视频数据，并且与发送至内容服务器的属性信息相对应。
在步骤S103中，接收所述内容服务器反馈的所述第一推荐内容数据，展现所述第一推荐内容数据对应的推荐内容。
根据本实施例提供的内容数据的推荐方法，响应于身份验证的操作，获取用户图像，从用户图像中获取用户的属性信息，并将用户的属性信息发送给内容服务器，使得所述内容服务器根据所述属性信息确定所述用户的推荐内容数据。然后，接收所述内容服务器反馈的所述推荐内容数据，并展现所述推荐内容数据对应的推荐内容，从而能够对用户无打扰地推荐精准化的内容数据，既消除了用户在身份验证过程中的枯燥和无聊的感觉，又可以利用身份验证的等待时间获取与用户相关的内容数据，达到推荐效果的最大化。
本实施例的内容数据的推荐方法可以由任意适当的具有图像或数据处理能力的设备执行，包括但不限于：摄像头、终端、移动终端、个人计算机(PC，Personal Computer)、服务器、车载设备、娱乐设备、广告设备、个人数码助理(PDA，Personal Digital Assistant)、平板电脑、笔记本电脑、掌上游戏机、智能眼镜、智能手表、可穿戴设备、虚拟显示设备或显示增强设备(如谷歌眼镜(Google Glass)、Oculus Rift(一种头戴式显示器)、Hololens(微软公司的一种基于全息影像式的头戴式显示器)、Gear VR(韩国三星公司的一种头戴式显示器))等。
实施例二
图2是根据本发明实施例二的一种基于身份验证装置的内容数据推荐方法的流程图。
在本实施例中，以具有人脸识别功能的电子设备为执行主体为例，对本发明实施例的内容数据的推荐方法进行说明，但本领域技术人员应当明了，在实际应用中，其它的执行主体可参照本实施例实现相应的内容数据的推荐操作。
如图2所示，本实施例的基于身份验证装置的内容数据推荐方法包括以下步骤：
在步骤S201中，从证件信息中提取用户的身份信息。
基于前述实施例一，在具体的实施方式中，所述获取用户的第一图像时，所述方法还包括：获取用户的证件信息；根据所述第一图像和所述证件信息进行身份验证，获得身份验证的结果。其中，在获取用户的证件信息之后，从所述证件信息中提取用户的身份信息。
在本发明一种可选实施方式中，所述获取用户的证件信息，包括：通过读卡器识别证件芯片中的信息，基于所述证件芯片中的信息获取用户的证件信息。在本发明另一种可选实施方式中，所述获取用户的证件信息，包括：通过OCR模块识别证件图像中的图像信息，基于所述图像信息获取用户的证件信息。可以理解的是，本发明实施例并不限于通过读卡器识别证件芯片中的信息或通过OCR模块识别证件图像中的图像信息，来获取用户的证件信息。任何用于获取用户的证件信息的方法均可适用于本发明实施例。
其中，所述身份验证可包括用户实时的头部图像与证件中的用户照片的比对验证，确定人证是否一致，从而可保证用户证件的有效性。所述用户的证件信息包括用户的身份信息和证件照片。具体地，所述证件照片可为身份证的证件照片、护照的证件照片等。
在具体的实施方式中，采用深度学习的方法实现用户的第一图像中的头部图像和证件照片的相似度比对，实现用户与证件的实名验证，从而确保用户证件的有效性。可以理解的是，本发明实施例不限于采用深度学习的方法实现用户的第一图像和证件照片的相似度比对，任何可实现用户的第一图像和证件照片的相似度比对的方法均可适用于本发明实施例。
其中，所述身份信息包括以下至少之一：性别、年龄、户籍地、生日、星座。所述身份验证的结果可包括实名认证成功、实名认证失败或真人检测失败。
在网吧、营业厅、酒店等场景中，具有人脸识别功能的电子设备放置在办事柜台上。当用户在所述电子设备的读卡器位置放置身份证时，所述电子设备会瞬间获取到身份证信息，并从身份证信息中获取用户的身份信息。
在步骤S202中，将所述身份信息发送给所述内容服务器，以使所述内容服务器根据所述身份信息确定所述用户的第二推荐内容数据。
其中，所述内容服务器可为广告分发后台。所述第二推荐内容数据可为包含广告信息的图像数据或视频数据，并且与发送至内容服务器的身份信息相对应。举例来说，第二推荐内容数据可为标识，实际的推荐内容存储在电子设备本地。第二推荐内容数据也可为具体的广告视频或图像。
在步骤S203中，接收所述内容服务器反馈的所述第二推荐内容数据，展现所述第二推荐内容数据对应的推荐内容。
在具体的实施方式中，从所述内容服务器接收与所述身份信息相应的 第二推荐内容数据，并且在验证操作界面上展现所述第二推荐内容数据。
具体地，具有人脸识别功能的电子设备将用户的身份信息发送给内容服务器，并从内容服务器接收与所述身份信息相应的第二推荐内容数据。在接收到第二推荐内容数据之后，在所述电子设备的验证操作界面上展现所述第二推荐内容数据。当所述第二推荐内容数据为标识时，电子设备根据所述标识选择相应的推荐内容进行展示。当所述第二推荐内容数据为具体的广告视频或图像时，电子设备提取所述第二推荐内容数据中的推荐视频或图像，然后播放或显示。
在具体的实施方式中，首先将所述电子设备进行人脸识别相关的预先设置，例如将人脸检测模式选择为普通检测或静默检测，设置人脸最远识别距离。然后，将所述电子设备接入广告分发后台，广告分发后台会根据所述电子设备所处的场景自动推送广告到电子设备中。当无人将身份证放置在所述电子设备上时，所述电子设备的显示屏自动全屏播放来自广告分发后台提供的通用广告。当有人在所述电子设备的读卡器位置上放置身份证时，所述电子设备获取身份证中的身份信息，并将身份信息推送给所述广告分发后台，所述广告分发后台根据身份信息中的性别、年龄和户籍所在地推送针对性的广告到所述电子设备。例如，当身份信息中性别为女，年龄为20岁，户籍所在地为北京时，则所述广告分发后台向所述电子设备推送某品牌口红广告。在播放针对性广告的同时，电子设备的摄像头处于打开状态，获取用户观看该广告的反应，微笑表示喜欢，表情冷漠表示不喜欢，将用户的人脸反应(人脸表情信息)上传到广告分发后台，作为后续广告分发的优化根据。
在步骤S204中，在展现所述第二推荐内容数据对应的推荐内容的过程中，获取用户的第二图像，从所述第二图像中获取用户的人脸表情信息。
其中，所述第二图像可为视频帧序列中的视频图像，所述第二图像可包括用户的头部图像。具体地，所述人脸表情信息可为用户的脸部表情。
在电子设备的验证操作界面上展现所述第二推荐内容数据的过程中，电子设备的摄像头捕捉用户图像，并且电子设备使用深度学习的方法从用户图像中获取用户的人脸表情信息。可以理解的是，本发明实施例不限于使用深度学习的方法从用户图像中获取用户的人脸表情信息，任何可从用户图像中获取用户的人脸表情信息的方法均可适用于此。
在步骤S205中，将所述人脸表情信息和所述属性信息发送给所述内容服务器，以使所述内容服务器根据所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据。
其中，所述属性信息包括以下中的至少一者：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。所述第三推荐内容数据可为包含广告信息的图像数据或视频数据，并且与发送至内容服务器的人脸表情信息和属性信息相对应。举例来说，第三推荐内容数据可为标 识，实际的推荐内容存储在电子设备本地。第三推荐内容数据也可为具体的广告视频或图像。
在步骤S206中，接收所述内容服务器反馈的所述第三推荐内容数据，展现所述第三推荐内容数据对应的推荐内容。
在具体的实施方式中，从所述内容服务器接收与所述人脸表情信息和所述属性信息相应的第三推荐内容数据，并且在显示身份验证的结果后，展现所述第三推荐内容数据对应的推荐内容。当所述第三推荐内容数据为标识时，电子设备根据所述标识选择相应的推荐内容进行展示。当所述第三推荐内容数据为具体的广告视频或图像时，电子设备提取所述第三推荐内容数据中的推荐视频或图像，然后播放或显示。
在一实施例中，所述展现所述第三推荐内容数据对应的推荐内容，包括：在验证操作界面上，以全屏的形式展现所述第三推荐内容数据。具体地，在电子设备的验证操作界面上，以全屏的形式展现内容服务器推荐的广告。籍此，展现效果比较好，能更好地吸引用户注意，也能更好地展示广告。
在电子设备的验证操作界面将所述第二推荐内容数据展现完毕后，也即是基于用户身份信息的针对性广告播放完毕后，所述电子设备的显示屏靠左侧大面积显示电子设备的摄像头的实时视频流，所述显示屏靠右侧小面积显示用户身份证的身份证照片、姓名、身份证号码局部信息。然后，电子设备将摄像头在实时视频流中捕获的用户图像与身份证照片进行比对。具体地，电子设备采用深度学习的方法将摄像头在实时视频流中捕获的用户图像与身份证照片进行比对验证。在比对验证完成之后，所述电子设备的显示屏左侧大面积显示摄像头实时视频流，右侧小面积显示人证比对结果，持续显示一段时间。在显示完人证比对结果之后，电子设备的显示屏全屏播放精准广告，此时的精准广告由广告分发平台根据用户的人脸表情信息、肤色、发型、是否佩戴眼镜、是否佩戴首饰等属性信息来推送。例如，播放针对性广告时表情高兴，且肤色较黑的20岁未佩戴眼镜的短发男性，推送户外运动品广告。
在具体的实施方式中，可采用以下方式描述本实施例的步骤S201至步骤S204。具体地，首先将电子设备进行人脸识别相关的预先设置，例如人脸检测模式选择为普通检测或静默检测，设置人脸最远识别距离。然后，将电子设备接入广告分发后台，广告后台会根据电子设备所处的场景自动推送广告到电子设备中。当无人将身份证件放置在所述电子设备上时，所述电子设备的显示屏自动全屏播放来自广告分发后台提供的通用广告。当有人在所述电子设备的读卡器上放置身份证时，所述电子设备会瞬间获取到身份信息，并将身份信息推送给所述广告分发后台，所述广告分发后台会根据身份信息中的性别，年龄、户籍所在地推送针对性的广告到所述电子设备。此时，所述电子设备从全屏播放通用广告切换到全屏播放针对性 广告，并播放3秒的针对性广告，例如身份信息中性别为女，年龄为20岁，户籍所在地为北京，则推送某品牌口红广告。在播放针对性广告的同时，电子设备的摄像头处于打开状态，获取用户的人脸表情信息，并将用户的人脸表情信息和属性信息实时传送至广告分发后台。其中，用户的人脸表情信息即是用户观看该广告的反应，表情微笑表示喜欢，表情冷漠表示不喜欢，可将用户的人脸表情信息上传到广告分发后台，作为后续广告分发的优化根据。此外，在播放针对性广告的同时，电子设备还根据获取的身份证图像获取用户身份证的身份证照片、姓名、身份证号码局部信息。具体地，电子设备根据身份证图像获取用户身份证的身份证照片、姓名、身份证号码局部信息的过程需要一段时间，一般为3秒钟，即在针对性广告播放完毕后，电子设备便可获得用户身份证的身份证照片、姓名、身份证号码局部信息。在针对性广告播放完毕后，所述显示屏靠左侧大面积区域显示摄像头实时视频流，所述显示屏靠右侧小面积区域显示该用户身份证的身份证照片、姓名、身份证号码局部信息。然后，电子设备将摄像头在实时视频流中捕获的用户图像与身份证照片进行比对。在完成比对后，所述显示屏右侧大面积区域显示摄像头实时视频流，右侧小面积区域显示人证比对结果，持续时间为5秒。在显示完人证比对结果之后，电子设备的显示屏全屏播放精准广告，此时的精准广告由广告分发平台根据上述获得的用户的人脸表情信息和属性信息来推送。例如，播放针对性广告时表情高兴，且肤色较黑的20岁未佩戴眼镜的短发男性，推送户外运动品广告，持续播放时间为10秒。在完成精准广告的播放之后，所述电子设备从全屏播放精准广告自动切换到全屏播放通用广告。其中，通用广告是无人进行人证比对时播放的广告，精准广告是进行人证比对后对该用户推送的针对性广告。
根据本实施例提供的内容数据的推荐方法，响应于身份验证的操作，获取用户的证件信息，并从所述证件信息中获取用户的身份信息，并将用户的身份信息发送给内容服务器，使得所述内容服务器根据所述身份信息确定所述用户的第二推荐内容数据。然后，接收所述内容服务器反馈的所述第二推荐内容数据，并且在验证操作界面上展现所述第二推荐内容数据对应的推荐内容，从而能够对用户无打扰地推荐针对性的内容数据，在消除用户在身份验证过程中的枯燥和无聊的感觉的同时，还可以利用身份验证的等待时间获取与用户相关的内容数据。
此外，在验证操作界面上展现第二推荐内容数据的过程中，捕捉用户图像，并从用户图像中获取用户的人脸表情信息。然后，将所述人脸表情信息和所述属性信息发送给内容服务器，并从所述内容服务器接收与所述人脸表情信息和所述属性信息相应的第三推荐内容数据，并且在显示身份验证的结果后，展现第三推荐内容数据，能够根据用户对第二推荐内容数据的人脸表情反应和用户的属性信息进一步精准地对用户无打扰地推荐内 容数据，达到推荐效果的最大化。
本实施例的内容数据的推荐方法不限于由具有人脸识别功能的电子设备执行，可以由任意适当的具有图像或数据处理能力的设备执行，包括但不限于：摄像头、终端、移动终端、PC、服务器、车载设备、娱乐设备、广告设备、PDA、平板电脑、笔记本电脑、掌上游戏机、智能眼镜、智能手表、可穿戴设备、虚拟显示设备或显示增强设备(如Google Glass、Oculus Rift、Hololens、Gear VR)等。
实施例三
图3是根据本发明实施例三的一种基于身份验证装置的内容数据推荐方法的流程图。如图3所示，本实施例的基于身份验证装置的内容数据推荐方法包括以下步骤：
在步骤S301中，接收终端设备发送的用户的属性信息。
在本实施例中，终端设备响应于身份验证的操作，捕捉用户图像，并从用户图像中获取用户的属性信息。在获取到用户的属性信息之后，终端设备将用户的属性信息发送给内容服务器，内容服务器接收终端设备发送的用户的属性信息。其中，所述内容服务器可为具有广告分发功能的服务器，所述用户的属性信息包括以下中的至少一者：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。所述身份验证装置为具有身份验证功能的电子设备。
在步骤S302中，根据所述属性信息确定所述用户的第一推荐内容数据。
在具体的实施方式中，在接收到终端设备发送的用户的属性信息之后，所述内容服务器根据所述属性信息确定第一推荐内容数据。具体地，在根据所述属性信息确定所述用户的第一推荐内容数据时，可以将所述属性信息分别与多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述属性信息与各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第一推荐内容数据。其中，每个推荐内容数据的指标信息可包括以下中的至少一者：肤色信息、发型信息、是否佩戴眼镜的信息、是否佩戴首饰的信息、性别信息、年龄信息、发色信息、是否化妆的信息。
例如，用户A的属性信息为肤色较黑、短发、未佩戴眼镜和首饰，那么可将用户A的肤色较黑的信息、短发信息、未佩戴眼镜和首饰的信息分别与推荐内容数据的肤色信息、发型信息、是否佩戴眼镜的信息以及是否佩戴首饰的信息进行匹配。如果推荐内容数据的肤色信息包含肤色较黑的信息，则说明用户A的肤色较黑的信息与推荐内容数据的肤色信息相匹配，可以获得相应的匹配得分。如果推荐内容数据的肤色信息不包含肤色较黑的信息，则说明用户A的肤色较黑的信息与推荐内容数据的肤色信息不匹配，不能获得相应的匹配得分。类似地，如果推荐内容数据的发型信息包含短发信息，则说明用户A的短发信息与推荐内容数据的发型信息相匹配，可以获得相应的匹配得分。如果推荐内容数据的发型信息不包含短发信息， 则说明用户A的短发信息与推荐内容数据的发型信息不匹配，不能获得相应的匹配得分。如果推荐内容数据的是否佩戴眼镜的信息为未佩戴眼镜，则说明用户A的未佩戴眼镜的信息与推荐内容数据的是否佩戴眼镜的信息相匹配，可以获得相应的匹配得分。如果推荐内容数据的是否佩戴眼镜的信息为佩戴眼镜的信息，则说明用户A的未佩戴眼镜的信息与推荐内容数据的是否佩戴眼镜的信息不匹配，不能获得相应的匹配得分。如果推荐内容数据的是否佩戴首饰的信息为未佩戴首饰，则说明用户A的未佩戴首饰的信息与推荐内容数据的是否佩戴首饰的信息相匹配，可以获得相应的匹配得分。如果推荐内容数据的是否佩戴首饰的信息为佩戴首饰的信息，则说明用户A的未佩戴首饰的信息与推荐内容数据的是否佩戴首饰的信息不匹配，不能获得相应的匹配得分。然后，将用户A的属性信息中每项信息的匹配得分进行累加，得到用户A的属性信息与推荐内容数据的指标信息的匹配得分。最后，基于用户A的属性信息与各个推荐内容数据的指标信息的匹配得分选择匹配得分最大的推荐内容数据作为第一推荐内容数据。如果匹配得分最大的推荐内容数据有两个或两个以上(有两个或两个以上的推荐内容数据具有相同的最大匹配得分)，内容服务器则从匹配得分最大的推荐内容数据中随机选择一个推荐内容数据作为第一推荐内容数据。其中，所述第一推荐内容数据可为包含广告信息的图像数据或视频数据。
在步骤S303中，将所述第一推荐内容数据推送至所述终端设备。
在本实施例中，在根据所述属性信息确定得到第一推荐内容数据之后，所述内容服务器将所述第一推荐内容数据推送至所述终端设备。
根据本实施例提供的内容数据的推荐方法，接收终端设备发送的用户的属性信息；并根据用户的属性信息确定第一推荐内容数据；再将确定得到的第一推荐内容数据推送至终端设备，从而能够为用户推荐精准化的内容数据。
本实施例的内容数据的推荐方法不限于由内容服务器执行，可以由任意适当的具有图像或数据处理能力的设备执行，包括但不限于：摄像头、终端、移动终端、PC机、服务器、车载设备、娱乐设备、广告设备、PDA、平板电脑、笔记本电脑、掌上游戏机、智能眼镜、智能手表、可穿戴设备、虚拟显示设备或显示增强设备(如Google Glass、Oculus Rift、Hololens、Gear VR)等。
实施例四
图4是根据本发明实施例四的一种基于身份验证装置的内容数据推荐方法的流程图。如图4所示，本实施例的基于身份验证装置的内容数据推荐方法包括以下步骤：
在步骤S401中，接收终端设备发送的用户的身份信息。
在本实施例中，终端设备响应于身份验证的操作，获取证件信息，并从证件信息中获取用户的身份信息。在获取到用户的身份信息之后，终端 设备将用户的身份信息发送给内容服务器，内容服务器接收终端设备发送的用户的身份信息。其中，所述内容服务器可为具有广告分发功能的服务器，所述用户的身份信息包括以下中的至少一者：性别、年龄、户籍地、生日、星座。
在一实施例中，在接收终端设备发送的用户的身份信息之前，内容服务器接收终端设备发送的标识信息，并根据终端设备的标识信息确定精准的推荐内容数据的展现时长和内容范围。其中，所述标识信息可为终端设备的设备编码，所述设备编码标识出了所述终端设备的应用场景。
具体地，在终端设备接入内容服务器之后，内容服务器根据终端设备的标识信息确定出终端设备所处的场景，以及与终端设备所处的场景对应的精准的推荐内容数据的展现时长和内容范围。例如，网吧场景人和证件比对后会播放精准广告如游戏广告，在酒店入住场景人和证件比对后会播放精准广告如景点广告等。精准广告的播放时长需要事先根据实际场景的人流停留速度等因素进行设置。
在步骤S402中，根据所述身份信息确定所述用户的第二推荐内容数据。
在一种的实施方式中，在接收到终端设备发送的用户的身份信息之后，所述内容服务器根据所述身份信息确定所述用户的第二推荐内容数据。具体地，在根据所述身份信息确定所述用户的第二推荐内容数据时，可以将所述身份信息与多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述身份信息与各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第二推荐内容数据。其中，每个推荐内容数据的指标信息可包括以下中的至少一者：性别信息、年龄信息、户籍地信息、肤色信息、发型信息、是否佩戴眼镜的信息、是否佩戴首饰的信息、性别信息、年龄信息、发色信息、是否化妆的信息。
例如，用户B的身份信息为女、20岁、户籍地为北京，那么可将用户B的性别为女的信息、年龄为20岁的信息、户籍所在地为北京的信息分别与推荐内容数据的性别信息、年龄信息、户籍所在地信息进行匹配。如果推荐内容数据的性别信息包含女性，则说明用户B的性别为女的信息与推荐内容数据的性别信息相匹配，获得的相应的匹配得分为0.3。如果推荐内容数据的性别信息不包含女性，则说明用户B的性别为女的信息与推荐内容数据的性别信息不匹配，获得相应的匹配得分为0。类似地，如果推荐内容数据的年龄信息包含20岁，则说明用户B的年龄为20岁的信息与推荐内容数据的年龄信息相匹配，获得的相应的匹配得分为0.4。如果推荐内容数据的年龄信息不包含20岁，则说明用户B的年龄为20岁的信息与推荐内容数据的年龄信息不匹配，获得的相应的匹配得分为0。如果推荐内容数据的户籍所在地信息包含北京，则说明用户B的户籍所在地为北京的信息与推荐内容数据的户籍所在地信息相匹配，获得的相应的匹配得分为0.3。如果推荐内容数据的户籍所在地信息不包含北京，则说明用户B的户籍所 在地为北京的信息与推荐内容数据的户籍所在地信息不匹配，获得的相应的匹配得分为0。然后，将用户B的身份信息中每项信息的匹配得分进行累加，得到用户B的身份信息与推荐内容数据的指标信息的匹配得分。最后，基于用户B的属性信息与各个推荐内容数据的指标信息的匹配得分选择匹配得分最大的推荐内容数据作为第二推荐内容数据。如果有两个或两个以上的推荐内容数据具有相同的最大匹配得分，内容服务器则从匹配得分最大的推荐内容数据中随机选择一个推荐内容数据作为第二推荐内容数据。其中，所述第二推荐内容数据可为包含广告信息的图像数据或视频数据。
例如，用户B的身份信息为女、年龄20、户籍地为北京；品牌1口红广告投放范围为女性、年龄在20-30岁之间、户籍地为北京、上海、广州、深圳等一线城市；品牌2口红广告投放范围为女性、年龄在20-30岁之间，户籍地为长沙、合肥、沈阳等二线城市。然后，将用户B的身份信息分别与两则广告的指标信息进行匹配。根据上述的匹配策略，针对用户B的身份信息，品牌1口红的得分为0.3+0.4+0.3＝1，品牌2口红的得分为0.3+0.4＝0.7，因此，给用户B推送得分最高的品牌1口红的广告。
在步骤S403中，将所述第二推荐内容数据推送至所述终端设备。
在本实施例中，在根据所述身份信息确定得到第二推荐内容数据之后，所述内容服务器将所述第二推荐内容数据推送至所述终端设备。
在步骤S404中，在将所述第二推荐内容数据推送至所述终端设备之后，接收终端设备发送的用户的人脸表情信息和属性信息。
在一种实施方式中，终端设备在接收到内容服务器推送的第二推荐内容数据之后，在其显示屏上展现第二推荐内容数据。在展现第二推荐内容数据的过程中，终端设备的摄像头处于打开状态，获取用户观看第二推荐内容数据的图像，并从该图像中获取用户的人脸表情信息。在获取到用户的人脸表情信息和属性信息之后，终端设备将获取的人脸表情信息和属性信息发送给内容服务器。其中，所述用户的属性信息可包括：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆，所述人脸表情信息为用户观看第二推荐内容数据的脸部表情。
在步骤S405中，根据所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据。
在具体的实施方式中，在接收到终端设备发送的用户的人脸表情信息和属性信息之后，所述内容服务器根据所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据。具体地，在根据所述人脸表情信息和所述属性信息确定第三推荐内容数据时，可以根据所述人脸表情信息确定所述第三推荐内容数据所属的类型；将所述属性信息与所述类型下的多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述属性信息与所述类型下的各个推荐内容数据的指标信息的匹配得分；根据所述匹配 得分确定所述第三推荐内容数据。其中，每个推荐内容数据的指标信息可包括性别信息、年龄信息、户籍地信息、肤色信息、发型信息、是否佩戴眼镜的信息、是否佩戴首饰的信息、性别信息、年龄信息、发色信息、是否化妆的信息。
其中，所述人脸表情信息为用户观看第二推荐内容数据的脸部表情。如果脸部表情显示为高兴等积极的表情，说明该类型的推荐内容数据受到用户关注与偏爱，后续会继续投放相同类型的推荐内容数据；如果人脸表情显示为讨厌等消极的表情，说明该类型的推荐内容数据受到用户的反感，后续不会继续投放该类型的推荐内容数据。在根据用户的人脸表情信息确定第三推荐内容数据所属的类型之后，可将所述属性信息与所述类型下的多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述属性信息与所述类型下的各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第三推荐内容数据。具体的匹配过程与实施例三中的步骤S302类似，在此不再赘述。
在本发明的一种可选实施方式中，还可根据步骤S401中获得的用户的身份信息以及步骤S404中获得的用户的人脸表情信息和属性信息确定第四推荐内容数据。具体地，可根据所述人脸表情信息确定所述第四推荐内容数据所属的类型；将所述属性信息和所述身份信息与所述类型下的多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述属性信息和所述身份信息与所述类型下的各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第四推荐内容数据。其中，涉及的匹配过程与实施例三中的步骤S302类似，在此不再赘述。
在步骤S406中，将所述第三推荐内容数据推送至所述终端设备。
在本实施例中，在根据所述属性信息和所述人脸表情信息确定得到第三推荐内容数据之后，所述内容服务器将所述第三推荐内容数据推送至所述终端设备。
根据本实施例提供的内容数据的推荐方法，接收终端设备发送的用户的身份信息；并根据用户的身份信息确定所述用户的第二推荐内容数据；再将确定得到的第二推荐内容数据推送至终端设备，从而能够为用户推荐与自身相关的内容数据。
此外，在将第二推荐内容数据推送至终端设备之后，接收终端设备发送的用户的人脸表情信息和属性信息，并根据用户的人脸表情信息和所述属性信息确定第三推荐内容数据，再将确定得到的第三推荐内容数据推送至终端设备，从而能够为用户推荐与自身相关的精准内容数据。
本实施例的内容数据的推荐方法不限于由内容服务器执行，可以由任意适当的具有图像或数据处理能力的设备执行，包括但不限于：摄像头、终端、移动终端、PC、服务器、车载设备、娱乐设备、广告设备、PDA、平板电脑、笔记本电脑、掌上游戏机、智能眼镜、智能手表、可穿戴设备、 虚拟显示设备或显示增强设备(如Google Glass、Oculus Rift、Hololens、Gear VR)等。
实施例五
基于相同的技术构思，图5是示出根据本发明实施例五的一种基于身份验证装置的内容数据推荐装置的结构示意图。可用以执行如实施例一所述的基于身份验证装置的内容数据推荐方法流程。
参照图5，该内容数据推荐装置包括第一获取模块501、第一发送模块502和第一接收模块503。
第一获取模块501，配置为响应于身份验证的操作，获取用户的第一图像，从所述第一图像中获取用户的属性信息；
第一发送模块502，配置为将所述第一获取模501块获得的所述属性信息发送给内容服务器，以使所述内容服务器根据所述属性信息确定所述用户的第一推荐内容数据；
第一接收模块503，配置为接收所述内容服务器反馈的所述第一推荐内容数据，展现所述第一推荐内容数据对应的推荐内容。
通过本实施例提供的内容数据推荐装置，响应于身份验证的操作，获取用户图像，从用户图像中获取用户的属性信息，并将用户的属性信息发送给内容服务器，以使所述内容服务器根据所述属性信息确定所述用户的推荐内容数据；接收所述内容服务器反馈的所述推荐内容数据，并展现所述推荐内容数据对应的推荐内容，从而能够对用户无打扰地推荐精准化的内容数据，既消除了用户在身份验证过程中的枯燥和无聊的感觉，又可以利用身份验证的等待时间获取与用户相关的内容数据，达到推荐效果的最大化。
实施例六
基于相同的技术构思，图6是根据本发明实施例六的一种基于身份验证装置的内容数据推荐装置的结构示意图。可用以执行如实施例二所述的基于身份验证装置的内容数据推荐方法流程。
参照图6，该内容数据推荐装置包括第一获取模块601、第一发送模块602和第一接收模块603。其中，第一获取模块601，配置为响应于身份验证的操作，获取用户的第一图像，从所述第一图像中获取用户的属性信息；第一发送模块602，配置为将所述第一获取模块601获得的所述属性信息发送给内容服务器，以使所述内容服务器根据所述属性信息确定所述用户的第一推荐内容数据；第一接收模块603，配置为接收所述内容服务器反馈的所述第一推荐内容数据，展现所述第一推荐内容数据对应的推荐内容。
在一实施例中，所述装置还包括：身份验证模块604，配置为在所述第一获取模块601获取用户的第一图像时，获取用户的证件信息；根据所述第一图像和所述证件信息进行身份验证，获得身份验证的结果。
在一实施例中，所述身份验证模块604，包括：第一获取子模块6041， 配置为通过读卡器识别证件芯片中的信息，基于所述证件芯片中的信息获取用户的证件信息。
在一实施例中，所述身份验证模块604，包括：第二获取子模块6042，配置为通过OCR模块识别证件图像中的图像信息，基于所述图像信息获取用户的证件信息。
需要说明的是，对于本发明实施例提供的基于身份验证装置的内容数据推荐装置还涉及的具体细节已在本发明实施例提供的基于身份验证装置的内容数据推荐方法中作了详细的说明，在此不在赘述。
实施例七
基于相同的技术构思，图7是根据本发明实施例七的一种基于身份验证装置的内容数据推荐装置的结构示意图。可用以执行如实施例二所述的基于身份验证装置的内容数据推荐方法流程。
参照图7，该内容数据推荐装置包括第一获取模块701、第一发送模块702和第一接收模块703。其中，第一获取模块701，配置为响应于身份验证的操作，获取用户的第一图像，从所述第一图像中获取用户的属性信息；第一发送模块702，配置为将所述第一获取模块701获得的所述属性信息发送给内容服务器，以使所述内容服务器根据所述属性信息确定所述用户的第一推荐内容数据；第一接收模块703，配置为接收所述内容服务器反馈的所述第一推荐内容数据，展现所述第一推荐内容数据对应的推荐内容。
在一实施例中，所述装置还包括：提取模块704，配置为在所述身份验证模块获取用户的证件信息之后，从所述证件信息中提取用户的身份信息；第二发送模块705，配置为将所述身份信息发送给所述内容服务器，以使所述内容服务器根据所述身份信息确定所述用户的第二推荐内容数据；第二接收模块706，配置为接收所述内容服务器反馈的所述第二推荐内容数据，展现所述第二推荐内容数据对应的推荐内容。
在一实施例中，所述装置还包括：第二获取模块707，配置为在所述第二接收模块展现所述第二推荐内容数据对应的推荐内容的过程中，获取用户的第二图像，从所述第二图像中获取用户的人脸表情信息；第三发送模块708，配置为将所述第二获取模块707获得的所述人脸表情信息和所述属性信息发送给所述内容服务器，使得所述内容服务器根据所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据；第三接收模块709，配置为接收所述内容服务器反馈的所述第三推荐内容数据，展现所述第三推荐内容数据对应的推荐内容。
在一实施例中，所述身份信息包括以下中的至少一者：性别、年龄、户籍地、生日、星座。
在一实施例中，所述属性信息包括以下中的至少一者：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。
需要说明的是，对于本发明实施例提供的基于身份验证装置的内容数 据推荐装置还涉及的具体细节已在本发明实施例提供的基于身份验证装置的内容数据推荐方法中作了详细的说明，在此不在赘述。
实施例八
基于相同的技术构思，图8是示出根据本发明实施例八的一种基于身份验证装置的内容数据推荐装置的结构示意图。可用以执行如实施例三所述的基于身份验证装置的内容数据推荐方法流程。
参照图8，该内容数据推荐装置包括第四接收模块801、第一确定模块802和第四发送模块803。
第四接收模块801，配置为接收终端设备发送的用户的属性信息；
第一确定模块802，配置为根据所述第四接收模块801接收的所述属性信息确定所述用户的第一推荐内容数据；
第四发送模块803，配置为将所述第一确定模块802确定的所述第一推荐内容数据推送至所述终端设备。
通过本实施例提供的内容数据推荐装置，接收终端设备发送的用户的属性信息；并根据用户的属性信息确定第一推荐内容数据；再将确定得到的第一推荐内容数据推送至终端设备，从而能够为用户推荐精准化的内容数据。
实施例九
基于相同的技术构思，图9是根据本发明实施例九的一种基于身份验证装置的内容数据推荐装置的结构示意图。可用以执行如实施例四所述的基于身份验证装置的内容数据推荐方法流程。
参照图9，该内容数据推荐装置包括第四接收模块901、第一确定模块902和第四发送模块903。其中，第四接收模块901，配置为接收终端设备发送的用户的属性信息；第一确定模块902，配置为根据所述第四接收模块901接收的所述属性信息确定所述用户的第一推荐内容数据；第四发送模块903，配置为将所述第一确定模块902确定的所述第一推荐内容数据推送至所述终端设备。
在一实施例中，所述第一确定模块902，配置为：将所述属性信息分别与多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述属性信息与各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第一推荐内容数据。
在一实施例中，所述装置还包括：第五接收模块904，配置为在所述第四接收模块接收终端设备发送的用户的属性信息之后，接收终端设备发送的用户的身份信息；第二确定模块905，配置为根据所述第五接收模块904接收的所述身份信息确定所述用户的第二推荐内容数据；第五发送模块906，配置为将所述第二确定模块905确定的所述第二推荐内容数据推送至所述终端设备。
在一实施例中，所述第二确定模块905，配置为：将所述身份信息与多 个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述身份信息与各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第二推荐内容数据。
需要说明的是，对于本发明实施例提供的基于身份验证装置的内容数据推荐装置还涉及的具体细节已在本发明实施例提供的基于身份验证装置的内容数据推荐方法中作了详细的说明，在此不在赘述。
实施例十
基于相同的技术构思，图10是根据本发明实施例十的一种基于身份验证装置的内容数据推荐装置的结构示意图。可用以执行如实施例四所述的基于身份验证装置的内容数据推荐方法流程。
参照图10，该内容数据推荐装置包括第四接收模块1001、第一确定模块1002和第四发送模块1003。其中，第四接收模块1001，配置为接收终端设备发送的用户的属性信息；第一确定模块1002，配置为根据所述第四接收模块1001接收的所述属性信息确定所述用户的第一推荐内容数据；第四发送模块1003，配置为将所述第一确定模块1002确定的所述第一推荐内容数据推送至所述终端设备。
在一实施例中，所述装置还包括：第六接收模块1004，配置为在所述第五发送模块将所述第二推荐内容数据推送至所述终端设备之后，接收终端设备发送的用户的人脸表情信息和属性信息；第三确定模块1005，配置为根据所述第六接收模块1004接收的所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据；第六发送模块1006，配置为将所述第三确定模块1005确定的所述第三推荐内容数据推送至所述终端设备。
在一实施例中，所述第三确定模块1005，配置为：根据所述人脸表情信息确定所述第三推荐内容数据所属的类型；将所述属性信息与所述类型下的多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述属性信息与所述类型下的各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第三推荐内容数据。
在一实施例中，所述身份信息包括以下中的至少一者：性别、年龄、户籍地、生日、星座。
在一实施例中，所述属性信息包括以下中的至少一者：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。
需要说明的是，对于本发明实施例提供的基于身份验证装置的内容数据推荐装置还涉及的具体细节已在本发明实施例提供的基于身份验证装置的内容数据推荐方法中作了详细的说明，在此不在赘述。
实施例十一
本发明实施例还提供了一种电子设备，例如可以是移动终端、PC、平板电脑、服务器等。下面参考图11，其示出了适于用来实现本发明实施例的终端设备或服务器的电子设备1100的结构示意图。如图11所示，电子 设备1100包括一个或多个第一处理器、第一通信元件等，所述一个或多个第一处理器例如：一个或多个中央处理单元(CPU)1101，和/或一个或多个图像处理器(GPU)1113等，第一处理器可以根据存储在只读存储器(ROM)1102中的可执行指令或者从存储部分1108加载到随机访问存储器(RAM)1103中的可执行指令而执行各种适当的动作和处理。本实施例中，第一只读存储器1102和随机访问存储器1103统称为第一存储器。第一通信元件包括通信组件1112和/或通信接口1109。其中，通信组件1112可包括但不限于网卡，所述网卡可包括但不限于IB(Infiniband)网卡，通信接口1109包括诸如局域网(LAN，Local Area Network)卡、调制解调器等的网络接口卡的通信接口，通信接口1109经由诸如因特网的网络执行通信处理。
第一处理器可与只读存储器1102和/或随机访问存储器1103中通信以执行可执行指令，通过第一通信总线1104与通信组件1112相连、并经通信组件1112与其他目标设备通信，从而完成本发明实施例提供的任一项基于身份验证装置的内容数据推荐方法对应的操作，例如，响应于身份验证的操作，获取用户的第一图像，并从所述第一图像中获取用户的属性信息；将所述属性信息发送给内容服务器，使得所述内容服务器根据所述属性信息确定所述用户的第一推荐内容数据；接收所述内容服务器反馈的所述第一推荐内容数据，并展现所述第一推荐内容数据对应的推荐内容。
此外，在RAM 1103中，还可存储有装置操作所需的各种程序和数据。CPU1101或GPU1113、ROM1102以及RAM1103通过第一通信总线1104彼此相连。在有RAM1103的情况下，ROM1102为可选模块。RAM1103存储可执行指令，或在运行时向ROM1102中写入可执行指令，可执行指令使第一处理器执行上述通信方法对应的操作。输入/输出(I/O)接口1105也连接至第一通信总线1104。通信组件1112可以集成设置，也可以设置为具有多个子模块(例如多个IB网卡)，并在通信总线链接上。
以下部件连接至I/O接口1105：包括键盘、鼠标等的输入部分1106；包括诸如阴极射线管(CRT)、液晶显示器(LCD)等以及扬声器等的输出部分1107；包括硬盘等的存储部分1108；以及包括诸如LAN卡、调制解调器等的网络接口卡的通信接口1109。驱动器1110也根据需要连接至I/O接口1105。可拆卸介质1111，诸如磁盘、光盘、磁光盘、半导体存储器等等，根据需要安装在驱动器1110上，以便于从其上读出的计算机程序根据需要被安装入存储部分1108。
需要说明的，如图11所示的架构仅为一种可选实现方式，在具体实践过程中，可根据实际需要对上述图11的部件数量和类型进行选择、删减、增加或替换；在不同功能部件设置上，也可采用分离设置或集成设置等实现方式，例如GPU和CPU可分离设置或者可将GPU集成在CPU上，通信元件可分离设置，也可集成设置在CPU或GPU上，等等。这些可替换的 实施方式均落入本发明的保护范围。
特别地，根据本发明实施例，上文参考流程图描述的过程可以被实现为计算机软件程序。例如，本发明实施例包括一种计算机程序产品，其包括有形地包含在机器可读介质上的计算机程序，计算机程序包含用于执行流程图所示的方法的程序代码，程序代码可包括对应执行本发明实施例提供的方法步骤对应的指令，例如，响应于身份验证的操作，获取用户的第一图像，并从所述第一图像中获取用户的属性信息；将所述属性信息发送给内容服务器，使得所述内容服务器根据所述属性信息确定所述用户的第一推荐内容数据；接收所述内容服务器反馈的所述第一推荐内容数据，并展现所述第一推荐内容数据对应的推荐内容。在这样的实施例中，该计算机程序可以通过通信元件从网络上被下载和安装，和/或从可拆卸介质1111被安装。在该计算机程序被第一处理器执行时，执行本发明实施例的方法中限定的上述功能。
实施例十二
本发明实施例还提供了一种电子设备，例如可以是移动终端、PC、平板电脑、服务器等。下面参考图12，其示出了适于用来实现本发明实施例的终端设备或服务器的电子设备1200的结构示意图。如图12所示，电子设备1200包括一个或多个第二处理器、第二通信元件等，所述一个或多个第二处理器例如：一个或多个中央处理单元(CPU)1201，和/或一个或多个图像处理器(GPU)1213等，第二处理器可以根据存储在只读存储器(ROM)1202中的可执行指令或者从存储部分1208加载到随机访问存储器(RAM)1203中的可执行指令而执行各种适当的动作和处理。本实施例中，第二只读存储器1202和随机访问存储器1203统称为第二存储器。第二通信元件包括通信组件1212和/或通信接口1209。其中，通信组件1212可包括但不限于网卡，所述网卡可包括但不限于IB(Infiniband)网卡，通信接口1209包括诸如LAN卡、调制解调器等的网络接口卡的通信接口，通信接口1209经由诸如因特网的网络执行通信处理。
第二处理器可与只读存储器1202和/或随机访问存储器1203中通信以执行可执行指令，通过第二通信总线1204与通信组件1212相连、并经通信组件1212与其他目标设备通信，从而完成本发明实施例提供的任一项基于身份验证装置的内容数据推荐方法对应的操作，例如，接收终端设备发送的用户的属性信息；根据所述属性信息确定所述用户的第一推荐内容数据；将所述第一推荐内容数据推送至所述终端设备。
此外，在RAM 1203中，还可存储有装置操作所需的各种程序和数据。CPU1201或GPU1213、ROM1202以及RAM1203通过第二通信总线1204彼此相连。在有RAM1203的情况下，ROM1202为可选模块。RAM1203存储可执行指令，或在运行时向ROM1202中写入可执行指令，可执行指令使第二处理器执行上述通信方法对应的操作。输入/输出(I/O)接口1205 也连接至第二通信总线1204。通信组件1212可以集成设置，也可以设置为具有多个子模块(例如多个IB网卡)，并在通信总线链接上。
以下部件连接至I/O接口1205：包括键盘、鼠标等的输入部分1206；包括诸如阴极射线管(CRT)、液晶显示器(LCD)等以及扬声器等的输出部分1207；包括硬盘等的存储部分1208；以及包括诸如LAN卡、调制解调器等的网络接口卡的通信接口1209。驱动器1210也根据需要连接至I/O接口1205。可拆卸介质1211，诸如磁盘、光盘、磁光盘、半导体存储器等等，根据需要安装在驱动器1210上，以便于从其上读出的计算机程序根据需要被安装入存储部分1208。
需要说明的，如图12所示的架构仅为一种可选实现方式，在具体实践过程中，可根据实际需要对上述图12的部件数量和类型进行选择、删减、增加或替换；在不同功能部件设置上，也可采用分离设置或集成设置等实现方式，例如GPU和CPU可分离设置或者可将GPU集成在CPU上，通信元件可分离设置，也可集成设置在CPU或GPU上，等等。这些可替换的实施方式均落入本发明的保护范围。
特别地，根据本发明实施例，上文参考流程图描述的过程可以被实现为计算机软件程序。例如，本发明实施例包括一种计算机程序产品，其包括有形地包含在机器可读介质上的计算机程序，计算机程序包含用于执行流程图所示的方法的程序代码，程序代码可包括对应执行本发明实施例提供的方法步骤对应的指令，例如，接收终端设备发送的用户的属性信息；根据所述属性信息确定所述用户的第一推荐内容数据；将所述第一推荐内容数据推送至所述终端设备。在这样的实施例中，该计算机程序可以通过通信元件从网络上被下载和安装，和/或从可拆卸介质1211被安装。在该计算机程序被第二处理器执行时，执行本发明实施例的方法中限定的上述功能。
需要指出，根据实施的需要，可将本发明实施例中描述的各个部件/步骤拆分为更多部件/步骤，也可将两个或多个部件/步骤或者部件/步骤的部分操作组合成新的部件/步骤，以实现本发明实施例的目的。
上述根据本发明实施例的方法可在硬件、固件中实现，或者被实现为可存储在记录介质(诸如CD ROM、RAM、软盘、硬盘或磁光盘)中的软件或计算机代码，或者被实现通过网络下载的原始存储在远程记录介质或非暂时机器可读介质中并将被存储在本地记录介质中的计算机代码，从而在此描述的方法可被存储在使用通用计算机、专用处理器或者可编程或专用硬件(诸如ASIC或FPGA)的记录介质上的这样的软件处理。可以理解，计算机、处理器、微处理器控制器或可编程硬件包括可存储或接收软件或计算机代码的存储组件(例如，RAM、ROM、闪存等)，当所述软件或计算机代码被计算机、处理器或硬件访问且执行时，实现在此描述的处理方法。此外，当通用计算机访问用于实现在此示出的处理的代码时，代码的 执行将通用计算机转换为用于执行在此示出的处理的专用计算机。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及方法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本发明实施例的范围。
以上实施方式仅用于说明本发明实施例，而并非对本发明实施例的限制，有关技术领域的普通技术人员，在不脱离本发明实施例的精神和范围的情况下，还可以做出各种变化和变型，因此所有等同的技术方案也属于本发明实施例的范畴，本发明实施例的专利保护范围应由权利要求限定。

Claims (36)

  1. 一种基于身份验证装置的内容数据推荐方法，所述方法包括：
    响应于身份验证的操作，获取用户的第一图像，从所述第一图像中获取用户的属性信息；
    将所述属性信息发送给内容服务器，以使所述内容服务器根据所述属性信息确定所述用户的第一推荐内容数据；
    接收所述内容服务器反馈的所述第一推荐内容数据，展现所述第一推荐内容数据对应的推荐内容。
  2. 根据权利要求1所述的方法，其中，所述获取用户的第一图像时，所述方法还包括：
    获取用户的证件信息；
    根据所述第一图像和所述证件信息进行身份验证，获得身份验证的结果。
  3. 根据权利要求2所述的方法，其中，所述获取用户的证件信息，包括：
    通过读卡器识别证件芯片中的信息，基于所述证件芯片中的信息获取用户的证件信息。
  4. 根据权利要求2所述的方法，其中，所述获取用户的证件信息，包括：
    通过光学字符识别OCR模块识别证件图像中的图像信息，基于所述图像信息获取用户的证件信息。
  5. 根据权利要求2所述的方法，其中，所述获取用户的证件信息之后，所述方法还包括：
    从所述证件信息中提取用户的身份信息；
    将所述身份信息发送给所述内容服务器，以使所述内容服务器根据所述身份信息确定所述用户的第二推荐内容数据；
    接收所述内容服务器反馈的所述第二推荐内容数据，展现所述第二推荐内容数据对应的推荐内容。
  6. 根据权利要求5所述的方法，其中，在展现所述第二推荐内容数据对应的推荐内容的过程中，所述方法还包括：
    获取用户的第二图像，从所述第二图像中获取用户的人脸表情信息；
    将所述人脸表情信息和所述属性信息发送给所述内容服务器，以使所述内容服务器根据所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据；
    接收所述内容服务器反馈的所述第三推荐内容数据，展现所述第三推荐内容数据对应的推荐内容。
  7. 根据权利要求5或6所述的方法，其中，所述身份信息包括以下至少之一：性别、年龄、户籍地、生日、星座。
  8. 根据权利要求1至7中任意一项权利要求所述的方法，其中，所述属性信息包括以下至少之一：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。
  9. 一种基于身份验证装置的内容数据推荐方法，所述方法包括：
    接收终端设备发送的用户的属性信息；
    根据所述属性信息确定所述用户的第一推荐内容数据；
    将所述第一推荐内容数据推送至所述终端设备。
  10. 根据权利要求9所述的方法，其中，所述根据所述属性信息确定所述用户的第一推荐内容数据，包括：
    将所述属性信息分别与多个推荐内容数据的指标信息进行匹配；
    基于匹配结果计算得到所述属性信息与各个推荐内容数据的指标信息的匹配得分；
    根据所述匹配得分确定所述第一推荐内容数据。
  11. 根据权利要求9所述的方法，其中，在接收终端设备发送的用户的属性信息之后，所述方法还包括：
    接收终端设备发送的用户的身份信息；
    根据所述身份信息确定所述用户的第二推荐内容数据；
    将所述第二推荐内容数据推送至所述终端设备。
  12. 根据权利要求11所述的方法，其中，所述根据所述身份信息确定所述用户的第二推荐内容数据，包括：
    将所述身份信息与多个推荐内容数据的指标信息进行匹配；
    基于匹配结果计算得到所述身份信息与各个推荐内容数据的指标信息的匹配得分；
    根据所述匹配得分确定所述第二推荐内容数据。
  13. 根据权利要求11所述的方法，其中，在将所述第二推荐内容数据推送至所述终端设备之后，所述方法还包括：
    接收终端设备发送的用户的人脸表情信息和属性信息；
    根据所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据；
    将所述第三推荐内容数据推送至所述终端设备。
  14. 根据权利要求13所述的方法，其中，所述根据所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据，包括：
    根据所述人脸表情信息确定所述第三推荐内容数据所属的类型；
    将所述属性信息与所述类型下的多个推荐内容数据的指标信息进行匹配；
    基于匹配结果计算得到所述属性信息与所述类型下的各个推荐内容数 据的指标信息的匹配得分；
    根据所述匹配得分确定所述第三推荐内容数据。
  15. 根据权利要求11至14中任意一项权利要求所述的方法，其中，所述身份信息包括以下中的至少一者：性别、年龄、户籍地、生日、星座。
  16. 根据权利要求9至15中任意一项权利要求所述的方法，其中，所述属性信息包括以下中的至少一者：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。
  17. 一种基于身份验证装置的内容数据推荐装置，所述装置包括：
    第一获取模块，配置为响应于身份验证的操作，获取用户的第一图像，从所述第一图像中获取用户的属性信息；
    第一发送模块，配置为将所述第一获取模块获得的所述属性信息发送给内容服务器，以使所述内容服务器根据所述属性信息确定所述用户的第一推荐内容数据；
    第一接收模块，配置为接收所述内容服务器反馈的所述第一推荐内容数据，展现所述第一推荐内容数据对应的推荐内容。
  18. 根据权利要求17所述的装置，其中，所述装置还包括：
    身份验证模块，配置为在所述第一获取模块获取用户的第一图像时，获取用户的证件信息；根据所述第一图像和所述证件信息进行身份验证，获得身份验证的结果。
  19. 根据权利要求18所述的装置，其中，所述身份验证模块，包括：
    第一获取子模块，配置为通过读卡器识别证件芯片中的信息，基于所述证件芯片中的信息获取用户的证件信息。
  20. 根据权利要求18所述的装置，其中，所述身份验证模块，包括：
    第二获取子模块，配置为通过光学字符识别OCR模块识别证件图像中的图像信息，基于所述图像信息获取用户的证件信息。
  21. 根据权利要求18所述的装置，其中，所述装置还包括：
    提取模块，配置为在所述身份验证模块获取用户的证件信息之后，从所述证件信息中提取用户的身份信息；
    第二发送模块，配置为将所述身份信息发送给所述内容服务器，以使所述内容服务器根据所述身份信息确定所述用户的第二推荐内容数据；
    第二接收模块，配置为接收所述内容服务器反馈的所述第二推荐内容数据，展现所述第二推荐内容数据对应的推荐内容。
  22. 根据权利要求21所述的装置，其中，所述装置还包括：
    第二获取模块，配置为在所述第二接收模块展现所述第二推荐内容数据对应的推荐内容的过程中，获取用户的第二图像，从所述第二图像中获取用户的人脸表情信息；
    第三发送模块，配置为将所述第二获取模块获得的所述人脸表情信息和所述属性信息发送给所述内容服务器，以使所述内容服务器根据所述人 脸表情信息和所述属性信息确定所述用户的第三推荐内容数据；
    第三接收模块，配置为接收所述内容服务器反馈的所述第三推荐内容数据，展现所述第三推荐内容数据对应的推荐内容。
  23. 根据权利要求21或22所述的装置，其中，所述身份信息包括以下中的至少一者：性别、年龄、户籍地、生日、星座。
  24. 根据权利要求17至23中任意一项权利要求所述的装置，其中，所述属性信息包括以下中的至少一者：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。
  25. 一种基于身份验证装置的内容数据推荐装置，所述装置包括：
    第四接收模块，配置为接收终端设备发送的用户的属性信息；
    第一确定模块，配置为根据所述第四接收模块接收的所述属性信息确定所述用户的第一推荐内容数据；
    第四发送模块，配置为将所述第一确定模块确定的所述第一推荐内容数据推送至所述终端设备。
  26. 根据权利要求25所述的装置，其中，所述第一确定模块，配置为：
    将所述属性信息分别与多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述属性信息与各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第一推荐内容数据。
  27. 根据权利要求25所述的装置，其中，所述装置还包括：
    第五接收模块，配置为在所述第四接收模块接收终端设备发送的用户的属性信息之后，接收终端设备发送的用户的身份信息；
    第二确定模块，配置为根据所述第五接收模块接收的所述身份信息确定所述用户的第二推荐内容数据；
    第五发送模块，配置为将所述第二确定模块确定的所述第二推荐内容数据推送至所述终端设备。
  28. 根据权利要求27所述的装置，其中，所述第二确定模块，配置为：
    将所述身份信息与多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述身份信息与各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第二推荐内容数据。
  29. 根据权利要求27所述的装置，其中，所述装置还包括：
    第六接收模块，配置为在所述第五发送模块将所述第二推荐内容数据推送至所述终端设备之后，接收终端设备发送的用户的人脸表情信息和属性信息；
    第三确定模块，配置为根据所述第六接收模块接收的所述人脸表情信息和所述属性信息确定所述用户的第三推荐内容数据；
    第六发送模块，配置为将所述第三确定模块确定的所述第三推荐内容数据推送至所述终端设备。
  30. 根据权利要求29所述的装置，其中，所述第三确定模块，配置为：
    根据所述人脸表情信息确定所述第三推荐内容数据所属的类型；将所述属性信息与所述类型下的多个推荐内容数据的指标信息进行匹配；基于匹配结果计算得到所述属性信息与所述类型下的各个推荐内容数据的指标信息的匹配得分；根据所述匹配得分确定所述第三推荐内容数据。
  31. 根据权利要求27至30中任意一项权利要求所述的装置，其中，所述身份信息包括以下中的至少一者：性别、年龄、户籍地、生日、星座。
  32. 根据权利要求25至31中任意一项权利要求所述的装置，其中，所述属性信息包括以下中的至少一者：肤色、发型、是否佩戴眼镜、是否佩戴首饰、性别、年龄、发色、是否化妆。
  33. 一种计算机可读存储介质，其上存储有计算机程序指令，其中，所述程序指令被处理器执行时实现权利要求1至8中任意一项权利要求所述的基于身份验证装置的内容数据推荐方法的步骤；或者，所述程序指令被处理器执行时实现权利要求9至16中任意一项权利要求所述的基于身份验证装置的内容数据推荐方法的步骤。
  34. 一种计算机程序产品，其包括有计算机程序指令，其中，所述程序指令被处理器执行时实现权利要求1至8中任意一项权利要求所述的基于身份验证装置的内容数据推荐方法的步骤；或者，所述程序指令被处理器执行时实现权利要求9至16中任意一项权利要求所述的基于身份验证装置的内容数据推荐方法的步骤。
  35. 一种电子设备，包括：第一处理器、第一存储器、第一通信元件和第一通信总线，所述第一处理器、所述第一存储器和所述第一通信元件通过所述第一通信总线完成相互间的通信；
    所述第一存储器用于存放至少一可执行指令，所述可执行指令使所述第一处理器执行如权利要求1至8中任意一项权利要求所述的基于身份验证装置的内容数据推荐方法的步骤。
  36. 一种电子设备，包括：第二处理器、第二存储器、第二通信元件和第二通信总线，所述第二处理器、所述第二存储器和所述第二通信元件通过所述第二通信总线完成相互间的通信；
    所述第二存储器用于存放至少一可执行指令，所述可执行指令使所述第二处理器执行如权利要求9至16中任意一项权利要求所述的基于身份验证装置的内容数据推荐方法的步骤。
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