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WO2018176954A1 - Procédé, dispositif et système de fourniture d'objets pour se faire des amis - Google Patents

Procédé, dispositif et système de fourniture d'objets pour se faire des amis Download PDF

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Publication number
WO2018176954A1
WO2018176954A1 PCT/CN2017/119837 CN2017119837W WO2018176954A1 WO 2018176954 A1 WO2018176954 A1 WO 2018176954A1 CN 2017119837 W CN2017119837 W CN 2017119837W WO 2018176954 A1 WO2018176954 A1 WO 2018176954A1
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WIPO (PCT)
Prior art keywords
information
user
image information
dating
friend
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2017/119837
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English (en)
Chinese (zh)
Inventor
陈大年
范海金
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Zhangmen Science and Technology Co Ltd
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Shanghai Zhangmen Science and Technology Co Ltd
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Application filed by Shanghai Zhangmen Science and Technology Co Ltd filed Critical Shanghai Zhangmen Science and Technology Co Ltd
Publication of WO2018176954A1 publication Critical patent/WO2018176954A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures

Definitions

  • the present application relates to the field of communications, and in particular, to a technology for providing a friend object.
  • a method for providing a friend object on a network device side includes:
  • a method for providing a friend object on a user equipment side includes:
  • a method for providing a dating object includes:
  • the network device acquires user image information of the target user uploaded by the user equipment
  • the network device matches the query in the object information database based on the user image information to obtain one or more dating objects of the target user, wherein the image information and the information of each friend object in the object information database The user image information satisfies the object matching rule;
  • the network device provides at least one friend object of the one or more dating objects to the user equipment;
  • the user device presents at least one of the one or more dating objects.
  • a computer readable medium comprising instructions that, when executed, cause a system to:
  • a computer readable medium comprising instructions that, when executed, cause a system to:
  • a network device for providing a friend object includes:
  • a memory arranged to store computer executable instructions that, when executed, cause the processor to:
  • a user equipment for providing a friend object where the user device includes:
  • a memory arranged to store computer executable instructions that, when executed, cause the processor to:
  • the network device of the present application acquires user image information of the target user uploaded by the user equipment, and obtains one or more friends that match the image information of the user by matching the query in the object database according to the object matching rule. And providing at least one friend object of the one or more dating objects to the user device, and presenting at least one friend object of the one or more dating objects to the user, thereby facilitating the user to quickly find the user
  • the image information matches the dating objects to enhance the user experience.
  • the network device may select, according to the level of the score information of the user image information, perform a matching query in the object information base according to the similarity or the complementarity, so that the target users in different situations can obtain satisfactory results.
  • Dating objects Further, the application provides at least one friend object of the one or more dating objects to the user based on the priority information of the friend object, thereby facilitating the user to view and saving the user's time.
  • FIG. 1 shows a system topology diagram for providing a friend object in accordance with an embodiment of the present application
  • FIG. 2 shows a flow chart of a method for providing a dating object in accordance with another embodiment of the present application.
  • the terminal, the device of the service network, and the trusted party each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • processors CPUs
  • input/output interfaces network interfaces
  • memory volatile and non-volatile memory
  • the memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory.
  • RAM random access memory
  • ROM read only memory
  • Memory is an example of a computer readable medium.
  • Computer readable media includes both permanent and non-persistent, removable and non-removable media.
  • Information storage can be implemented by any method or technology.
  • the information can be computer readable instructions, data structures, modules of programs, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage,
  • computer readable media does not include non-transitory computer readable media, such as modulated data signals and carrier waves.
  • FIG. 1 illustrates a system topology diagram for providing a friend object, including a user device 1 and a network device 2, in accordance with an embodiment of the present application.
  • the network device 2 includes an electronic device capable of automatically performing numerical calculation and information processing according to an instruction set or stored in advance, and the hardware thereof includes but is not limited to a microprocessor, an application specific integrated circuit (ASIC), or the like. Programming gate arrays (FPGAs), digital processors (DSPs), embedded devices, and more.
  • the network device 2 includes, but is not limited to, a computer, a network host, a single network server, a plurality of network server sets, or a plurality of servers; here, the cloud is composed of a large number of computers or network servers based on Cloud Computing. Composition, in which cloud computing is a type of distributed computing, a virtual supercomputer consisting of a group of loosely coupled computers.
  • the network includes, but is not limited to, the Internet, a wide area network, a metropolitan area network, a local area network, a VPN network, a wireless ad hoc network (Ad Hoc network), and the like.
  • the user equipment 1 includes, but is not limited to, any mobile electronic product that can perform human-computer interaction with the user, such as a smart phone, a tablet computer, a notebook computer, etc., and the mobile electronic product can adopt any operating system, such as an android operating system. , iOS operating system, Windows operating system, etc.
  • step S201 illustrates a method for providing a friend object according to another embodiment of the present application, wherein the method includes step S201, step S202, and step S203 of the network device side, and step S109 and step S110 of the user equipment side.
  • step S201 the network device 2 acquires user image information of the target user uploaded by the user equipment; in step S202, the network device 2 matches the query in the object information database based on the user image information to obtain the target user.
  • One or more dating objects wherein image information of each of the dating objects in the object information base and the user image information satisfy an object matching rule; in step S203, the network device 2 sets the one or more friends At least one friend object is provided to the user device 1; in step S109, the user device 1 receives one or more friend objects sent by the network device 2, wherein the image information of each friend object in the object information database and the target user The user image information satisfies the object matching rule; in step S110, the user device 1 presents at least one of the one or more dating objects.
  • user A may display user image information of the target user through a specific application (including but not limited to a web application, an application installed on the user device, etc.) on the user device 1 (eg, the target user's photo-free, life photo, etc.) ) Network device 2 uploaded to the specific application cloud.
  • the target user may be the user A himself, or may be a relative, friend, colleague, classmate, passerby, etc. of the user A.
  • the network device 2 obtains one or more dating objects that match the user image information by querying in the object information database storing a plurality of user image information according to the object matching rule.
  • the network device 2 returns the one or more dating objects to the user equipment 1; or the network device 2 has the highest matching degree among the one or more dating objects according to the matching degree.
  • One of the friends or one of the more matching friends is returned to the user device 1.
  • the user equipment 1 After receiving the one or more dating objects that match the user image information, the user equipment 1 presents to the user A through the specific application (the presented content includes but is not limited to the image information, height, age, occupation of the dating object) And the information) the one or more dating objects; or, according to the degree of matching, presenting to the user A one of the one or more dating objects having the highest matching degree or a plurality of matching friends having a higher matching degree.
  • the network device 2 acquires image information uploaded by the user equipment, and extracts user image information of the target user from the image information.
  • the image information may include a single person-free photo, a single-person photo, a multi-person photo, a pure landscape photo, an animal photo, etc., where face detection technology may be used (by recognizing features such as eyes and mouth in the picture) Information, locking the face position in the screen) Extracting the user image information of the target user.
  • image information such as pure landscape photos, animal photos, etc.
  • multi-person photos user image information of multiple target users can be extracted from them, and matching queries can be performed in the object information database respectively; or, user image information of a target user can be extracted therefrom, and matching can be performed in the object information database.
  • Query or, instead of matching queries in the object repository.
  • the object matching rule includes at least one of the following: the similarity between the image information of each friend object in the object information base and the user image information is equal to or greater than a predetermined first threshold; each friend The complementarity of the image information of the object in the object information base and the user image information is equal to or greater than a predetermined second threshold; when the rating information of the user image information is greater than or equal to a third threshold, each dating object is The similarity between the image information in the object information base and the user image information is equal to or greater than a predetermined fourth threshold; when the rating information of the user image information is less than or equal to a fifth threshold, each dating object is in the The complementarity of the image information in the object information base with the user image information is equal to or greater than a predetermined sixth threshold.
  • the first threshold may be set to 30%, 40% or other values if a matching query is applied (the applied face matching techniques include but are not limited to: geometric matching based on eye coordinates, based on SIFT (Scale-invariant) Feature transform, feature invariant feature transform, feature matching based on statistical features, etc.) obtaining similarity between image information of B in the object information base and user image information of the target user is equal to or greater than
  • the first threshold may be determined as the object of the friend, and in this way, one or more friends may be obtained.
  • the matching query may be performed according to the complementarity (such as the complement of the big eye and the small eye, the complement of the square face and the round face, etc.)
  • the face matching technology used includes but is not limited to Obtaining image information of C in the object information database and the image information based on geometric matching of eye coordinates, matching based on SIFT (Scale-invariant feature transform), matching based on statistical features, and the like
  • SIFT Scale-invariant feature transform
  • the user image information and the image information in the object information database may be matched by the following steps:
  • the haar-like feature can be extracted from the image using the haar classifier + AdaBoost algorithm, and the face detection can be performed using the AdaBoost algorithm.
  • template matching can be used to model face templates such as eyes, nose, mouth and face contours, to detect frontal faces in images, and to calculate the relationship between sub-images and contour templates to detect candidate faces. Area, complete matching with other sub-templates in the candidate area.
  • other existing or future technologies may be employed.
  • the normalized face region image is obtained from the image (the pixels of each image are uniform, uniform size), and this step is mainly to make the faces of the pixels on different faces of the faces correspond to each other. Comparable, this step can be seen as a process of affine changes to an image (linear interpolation or scaling done).
  • the main purpose is to overcome the influence of different illumination on the face and improve the robustness of the algorithm to the illumination conditions.
  • Gaussian difference filtering an illumination normalization method based on Gaussian difference filter
  • other existing or future possible technologies may be employed.
  • the image pixels are segmented such that the surface points of the objects corresponding to each pixel in each segment have similar surface normal vector distributions, thus having a similar gray-scale response to the light source, and then local normalization is performed in each segment to attenuate the illumination effect.
  • the Lambert surface reflection model of the object can be first established, the average surface normal vector distribution matrix of the face shape is estimated by the singular value decomposition method, and the pixel is segmented according to the normal vector direction by the clustering algorithm, and then Local pixel normalization is performed in each segment.
  • Skin color features selected according to different chromaticity spaces of color images, chromaticity spaces such as RGB, SHI, YUV: commonly used skin color models have Gaussian models, histogram models, etc.; gray features: including face contour features, faces Gray distribution characteristics, organ characteristics, template features.
  • Various organs in the face area are important features of the human face.
  • an artificial neural network is used to detect the overall characteristics of the eyes, nose, mouth, and face, respectively.
  • the grayscale of the face region itself can be used as a template feature, usually taking the central region of the face containing only the eyes, nose and mouth as a common facial template feature; other features after transforming the face: such as gabor features And local binary mode (LBP) features, which can fuse multiple features.
  • LBP local binary mode
  • the high-dimensional facial features are mapped to low-dimensional features with better classification or recognition capabilities.
  • a common PCA Principal Component Analysis
  • LDA Linear Discriminant Analysis
  • the degree of similarity is determined according to the distance between two image features. The smaller the distance between two image features, the higher the similarity; the greater the distance between the two image features, the lower the similarity.
  • the complementarity of the image information is the highest, and the closer the image information of the dating object closer to 2*v_jun-v_1 is to the complementarity of the user image information.
  • the target user has a higher face value, that is, the rating information of the target user's user image information is greater than or equal to a third threshold
  • matching is performed in the object information base according to the similarity degree. If the target user's face value is low, that is, the score information of the target user's user image information is less than or equal to the fifth threshold, the matching query is performed in the object information base according to the complementarity.
  • the object matching rule may also be determined by a machine learning or statistical method.
  • a large number of couple data or male and female friends data can be obtained from various social platforms or other channels, and according to the data, a sample library (male, female, 0/1) can be randomly generated, wherein 0 means non-couple Or male and female friends, 1 means a couple or a boyfriend.
  • a model can be trained. The input of the model is two photos of men and women, and the output of the model is the matching degree of the two photos of the man and the woman. Then, the model is used to match the user image information and the image information in the object information base.
  • the method further includes: the user equipment 1 transmits the user image information of the target user to the corresponding network device 2; in step S109, the user equipment 1 receives one or more dating objects returned by the network device 2, wherein each The image information of the friends in the object information database and the user image information satisfy the object matching rule.
  • the user equipment 1 sends user image information of the target user to the corresponding network device 2, that is, the user A immediately uploads the user image information, and then the network device 2 is based on the user image information.
  • a matching query is made in the object information base, and the obtained one or more dating objects are returned to the user device 1.
  • the network device 2 may also perform a matching query in the object information base according to the user image information previously uploaded by the user A.
  • the method further includes: determining, by the network device 2, the priority information of the friend object; in step S203, the network device 2, based on the priority information of the friend object, at least one of the one or more dating objects A friend object is provided to the user device.
  • the priority information of the friend object may be determined according to the degree of matching, and the priority information of the friend with higher matching degree is higher than the friend object with lower matching degree. Then, based on the priority information of the friend object, one of the one or more dating objects having the highest priority information or a plurality of friend objects having a higher priority information is provided to the user equipment 1.
  • the network device 2 determines priority information of the friend object based on object attribute information of the friend object.
  • the object attribute information may include: appearance, height, education, wealth, and the like of the friend object.
  • the priority information of the dating object may be weighted according to the score information of each component of the friend, such as appearance, height, education, wealth, and the like.
  • each of the dating objects may be sorted according to the attribute X (eg, appearance) of the dating object, thereby determining priority information of the dating object, wherein the attribute X may be set by the user.
  • the network device 2 adjusts weight information of each component in the object attribute information of the friend object based on the attribute information of the target user; based on the object attribute information of the friend object and the weight of each component Information, weighting determines priority information of the dating object.
  • the self-attribute information may include the appearance, height, gender, age, education, and the like of the target user.
  • the height of the dating object may not be paid attention to. Therefore, the weight of the height of the friend of the user of the class can be appropriately reduced.
  • the appearance of the dating object may be more concerned, so the weight of the appearance of the male user's dating object may be appropriately increased.
  • the method further includes: the network device 2 acquires an object matching rule set by the user; in step S202, the network device 2 matches the query in the object information database based on the user image information to obtain one or a plurality of dating objects, wherein image information of each of the dating objects in the object information base and the user image information satisfy the object matching rule.
  • the user A may set the object matching rule by itself (for example, the similarity exceeds a certain threshold, the height difference is within a certain threshold range, and the like).
  • the object matching rule may be a matching rule predetermined by the system, or a matching rule determined by the system according to the attribute information of the target user.
  • the method further includes: the user equipment 1 transmitting feedback information about the friend object to the network device 2; the network device 2 receiving the user information about the user Feedback information of the dating object; the network device 2 re-determines the corresponding one or more preferred dating objects based on the feedback information; the network device 2 provides at least one preferred friend object of the one or more preferred dating objects To the user equipment 1; the user equipment 1 receives one or more preferred dating objects returned by the network device 2 based on the feedback information; the user equipment 1 presents the one or more preferences At least one of the dating objects is preferably a friend.
  • the network device 2 matches the query again in the object information base according to the feedback information, re-determines the corresponding one or more preferred dating objects, and provides at least one preferred friend object of the one or more preferred dating objects to the User device 1 is then presented, and then user device 1 presents at least one preferred friend object of the one or more preferred friends.
  • the network device 2 preferably determines a corresponding one or more preferred dating objects among the one or more dating objects based on the feedback information; or based on the user image information and the feedback information Re-matching the query in the object information database to obtain one or more preferred friends, wherein the image information of each preferred friend object in the object information database and the user image information satisfy the object matching rule and The feedback information is; or the query is re-matched in the object information base based on the one or more dating objects and the feedback information to obtain one or more preferred dating objects.
  • the network device 2 may filter the one or more dating objects based on the feedback information to determine a corresponding one or more preferred dating objects; or based on the user image information and the feedback information Recombining the query in the object repository to obtain one or more preferred friends; or re-matching in the object repository based on the combination of the one or more friends and the feedback information Query (for example, if the user A is satisfied with the friend A in the one or more friends, and is only not satisfied with the height of the friend A, the image information of the friend A and the height of the user A may be used.
  • the feedback information is re-matched to obtain one or more preferred friends.
  • the contact information of the presented friend object is in a hidden state; wherein the method further comprises: the user device 1 acquiring a contact information request submitted by the user regarding the target friend object in the presented friend object; the user device 1 When the contact information request is verified, the contact information of the target friend object is presented.
  • the user equipment 1 After receiving the one or more dating objects sent by the network device 2, the user equipment 1 does not present the contact information (such as a phone number, an email address, a home address, etc.) of the dating object to the user A, that is, the friend object.
  • the contact information is hidden. If the user A is interested in the image information of the target friend object in the one or more dating objects, the user may submit the contact information request for the target friend object to obtain the contact information of the target friend object.
  • the verification of the contact information request includes, but is not limited to, whether the user A satisfies a predetermined membership level, whether the user A requests payment success with the contact information, and the like.
  • the verification of the contact information request may be completed by the specific application on the user equipment 1; the contact information request may also be sent by the user equipment 1 to the network device 2 of the specific application cloud, by The network device 2 completes verification of the contact information request.
  • the user equipment 1 sends the contact information request to the network device; and receives contact information of the target friend object returned by the network device after the contact information request passes verification; presenting the Contact information for the target friend.
  • the contact information request is sent by the user equipment 1 to the network device 2 of the specific application cloud, and the verification of the contact information request is completed by the network device 2.
  • the network device 2 returns the contact information of the target friend object to the user device 1.
  • the user equipment 1 receives one or more dating objects and contact information of each dating object sent by the network device; the user equipment 1 presents the target dating object when the contact information request is verified. Contact information stored in the user device.
  • the user equipment 1 receives the contact information of each dating object while receiving one or more dating objects sent by the network device 2, but does not present the contact information of the dating object to the user A. information.
  • the contact information request is verified, the contact information of the target friend object stored in the user equipment 1 is presented to the user A.
  • a method for providing a dating object includes:
  • the network device acquires user image information of the target user uploaded by the user equipment
  • the network device matches the query in the object information database based on the user image information to obtain one or more dating objects of the target user, wherein the image information and the information of each friend object in the object information database The user image information satisfies the object matching rule;
  • the network device provides at least one friend object of the one or more dating objects to the user equipment;
  • the user device presents at least one of the one or more dating objects.
  • a computer readable medium comprising instructions that, when executed, cause a system to:
  • a computer readable medium comprising instructions that, when executed, cause a system to:
  • a network device for providing a friend object includes:
  • a memory arranged to store computer executable instructions that, when executed, cause the processor to:
  • a user equipment for providing a friend object where the user device includes:
  • a memory arranged to store computer executable instructions that, when executed, cause the processor to:
  • the network device of the present application acquires user image information of the target user uploaded by the user equipment, and obtains one or more friends that match the image information of the user by matching the query in the object database according to the object matching rule. And providing at least one friend object of the one or more dating objects to the user device, and presenting at least one friend object of the one or more dating objects to the user, thereby facilitating the user to quickly find the user
  • the image information matches the dating objects to enhance the user experience.
  • the network device may select, according to the level of the score information of the user image information, perform a matching query in the object information base according to the similarity or the complementarity, so that the target users in different situations can obtain satisfactory results.
  • Dating objects Further, the application provides at least one friend object of the one or more dating objects to the user based on the priority information of the friend object, thereby facilitating the user to view and saving the user's time.
  • the present application can be implemented in software and/or a combination of software and hardware, for example, using an application specific integrated circuit (ASIC), a general purpose computer, or any other similar hardware device.
  • the software program of the present application can be executed by a processor to implement the steps or functions described above.
  • the software programs (including related data structures) of the present application can be stored in a computer readable recording medium such as a RAM memory, a magnetic or optical drive or a floppy disk and the like.
  • some of the steps or functions of the present application may be implemented in hardware, for example, as a circuit that cooperates with a processor to perform various steps or functions.
  • a portion of the present application can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide a method and/or technical solution in accordance with the present application.
  • the form of computer program instructions in a computer readable medium includes, but is not limited to, source files, executable files, installation package files, etc., accordingly, the manner in which the computer program instructions are executed by the computer includes but not Limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installation. program.
  • the computer readable medium can be any available computer readable storage medium or communication medium that can be accessed by a computer.
  • Communication media includes media that can be transferred from one system to another by communication signals including, for example, computer readable instructions, data structures, program modules or other data.
  • Communication media can include conductive transmission media such as cables and wires (eg, fiber optics, coaxial, etc.) and wireless (unguided transmission) media capable of propagating energy waves, such as acoustic, electromagnetic, RF, microwave, and infrared.
  • Computer readable instructions, data structures, program modules or other data may be embodied, for example, as modulated data signals in a wireless medium, such as a carrier wave or a similar mechanism, such as embodied in a portion of a spread spectrum technique.
  • modulated data signal refers to a signal whose one or more features are altered or set in such a manner as to encode information in the signal. Modulation can be analog, digital or hybrid modulation techniques. Communication media, particularly carrier waves and other propagating signals that can contain data that can be used by computer systems, are not included as a computer readable storage medium.
  • the computer readable storage medium may comprise, by way of example and not limitation, vols and non-volatile, implemented in any method or technology for storing information such as computer readable instructions, data structures, program modules or other data.
  • a computer readable storage medium includes, but is not limited to, volatile memory such as random access memory (RAM, DRAM, SRAM); and nonvolatile memory such as flash memory, various read only memories (ROM, PROM, EPROM) , EEPROM), magnetic and ferromagnetic/ferroelectric memories (MRAM, FeRAM); and magnetic and optical storage devices (hard disks, tapes, CDs, DVDs); or other currently known media or later developed for storage in computer systems Computer readable information/data used.
  • RAM random access memory
  • DRAM dynamic random access memory
  • SRAM static random access memory
  • nonvolatile memory such as flash memory, various read only memories (ROM, PROM, EPROM) , EEPROM), magnetic and ferromagnetic/ferroelectric memories (MRAM, FeRAM); and magnetic and optical storage

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Abstract

L'invention concerne un procédé, un dispositif et un système de fourniture d'objets pour se faire des amis. Le procédé comprend les étapes suivantes : l'obtention, par un dispositif réseau, des informations d'image d'utilisateur d'un utilisateur cible téléversées par un équipement utilisateur (S201) ; la mise en correspondance et l'interrogation dans une base d'informations d'objet, en fonction des informations d'image d'utilisateur, pour obtenir un ou une pluralité d'objets pour se faire des amis de l'utilisateur cible, les informations d'image de l'objet pour se faire des amis respectif dans la base d'informations d'objet et les informations d'image d'utilisateur satisfaisant une règle de correspondance d'objet (S202) ; la fourniture d'au moins l'un du ou des objets pour se faire des amis à l'équipement utilisateur (S203) ; la réception, par l'équipement utilisateur, d'un ou d'une pluralité d'objets pour se faire des amis du dispositif réseau (S109) ; la présentation d'au moins un du ou des objets pour se faire des amis. Le procédé permet à l'utilisateur de trouver rapidement l'objet pour se faire des amis correspondant aux informations d'image d'utilisateur et l'expérience d'utilisateur est améliorée.
PCT/CN2017/119837 2017-03-31 2017-12-29 Procédé, dispositif et système de fourniture d'objets pour se faire des amis Ceased WO2018176954A1 (fr)

Applications Claiming Priority (2)

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CN2017102087484 2017-03-31
CN201710208748.4A CN106980688A (zh) 2017-03-31 2017-03-31 一种用于提供交友对象的方法、设备及系统

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WO2018176954A1 true WO2018176954A1 (fr) 2018-10-04

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