WO2017031905A1 - 社交关系分析方法及装置 - Google Patents

社交关系分析方法及装置 Download PDF

Info

Publication number
WO2017031905A1
WO2017031905A1 PCT/CN2015/100011 CN2015100011W WO2017031905A1 WO 2017031905 A1 WO2017031905 A1 WO 2017031905A1 CN 2015100011 W CN2015100011 W CN 2015100011W WO 2017031905 A1 WO2017031905 A1 WO 2017031905A1
Authority
WO
WIPO (PCT)
Prior art keywords
electronic device
social relationship
duration
interaction information
interaction
Prior art date
Application number
PCT/CN2015/100011
Other languages
English (en)
French (fr)
Inventor
黄虎成
翁海斌
耿辉
Original Assignee
小米科技有限责任公司
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 小米科技有限责任公司 filed Critical 小米科技有限责任公司
Priority to JP2016547606A priority Critical patent/JP6386059B2/ja
Priority to RU2016116358A priority patent/RU2656694C1/ru
Priority to MX2016004865A priority patent/MX368815B/es
Priority to KR1020167019815A priority patent/KR101849482B1/ko
Publication of WO2017031905A1 publication Critical patent/WO2017031905A1/zh

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
    • H04M15/58—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP based on statistics of usage or network monitoring
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/01—Social networking
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/20—Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
    • H04W4/21—Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel for social networking applications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W8/00—Network data management
    • H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
    • H04W8/183—Processing at user equipment or user record carrier

Definitions

  • the embodiments of the present disclosure relate to the field of information technology, and in particular, to a social relationship analysis method and apparatus.
  • the user Since the simulated social relationship is relatively complicated, in the related art, the user first defines another user as a social group, and then pairs the electronic device with other users in the same social group by the electronic device that is carried by the user. Generate corresponding social relationship analysis data. This type of analysis is relatively simple and the analysis results are not accurate enough.
  • the embodiments of the present disclosure provide a social relationship analysis method and apparatus to solve the problem that the social relationship analysis is simple and the analysis result is not accurate in the related art.
  • a social relationship analysis method comprising:
  • the acquiring the target interaction information between the first electronic device and the second electronic device includes:
  • the original interaction information includes at least one of the following:
  • Interact signal strength values are used to calculate interaction distance values, and interaction duration.
  • the interaction signal strength value is a Bluetooth signal strength value.
  • obtaining the interaction distance value includes:
  • obtaining the interaction duration includes:
  • the filtering the original interaction information to obtain the target interaction information includes:
  • the determining, according to the target interaction information, a social relationship between the first user of the first electronic device and the second user of the second electronic device including at least one of the following:
  • the social relationship is determined to be an intimate social relationship.
  • the method further includes:
  • the social relationship is prompted by the application APP.
  • a social relationship analysis apparatus comprising:
  • An acquiring module configured to acquire target interaction information between the first electronic device and the second electronic device
  • a determining module configured to determine a social relationship between the first user of the first electronic device and the second user of the second electronic device according to the target interaction information acquired by the acquiring module.
  • the obtaining module includes:
  • a filtering submodule configured to filter the original interaction information acquired by the acquiring submodule to obtain the target interaction information
  • the original interaction information includes at least one of the following:
  • Interact signal strength values are used to calculate interaction distance values, and interaction duration.
  • the interaction signal strength value is a Bluetooth signal strength value.
  • the obtaining submodule includes:
  • the first acquiring unit is configured to acquire the interaction distance value according to the Bluetooth signal strength value.
  • the obtaining submodule includes:
  • a second acquiring unit configured to acquire a communication duration of communication between the first electronic device and the second electronic device by using Bluetooth, and determine the communication duration as the interaction duration;
  • the third obtaining unit is configured to acquire a duration of the call between the first electronic device and the second electronic device, and determine the duration of the call as the interaction duration.
  • the filtering submodule includes:
  • the filtering unit is configured to perform impurity removal, denoising, and normalization processing on the original interaction information acquired by the acquiring sub-module, to obtain the target interaction information.
  • the determining module includes at least one of the following submodules:
  • a first determining sub-module configured to determine that the social relationship is an intimate social relationship when the target interaction signal strength value in the target interaction information filtered by the filtering sub-module exceeds a preset strength value
  • a second determining sub-module configured to determine that the social relationship is an intimate social relationship when the target interaction distance value in the target interaction information filtered by the filtering sub-module is less than a preset distance value
  • the third determining sub-module is configured to determine that the social relationship is an intimate social relationship when the target interaction duration in the target interaction information filtered by the filtering sub-module exceeds a preset duration.
  • the device further includes:
  • the prompting module is configured to prompt the determining, by the application APP, the social relationship determined by the determining module.
  • a social relationship analysis apparatus including:
  • a memory configured to store processor executable instructions
  • processor is configured to:
  • the first electronic device may automatically acquire the target interaction information with the second electronic device, and then the first electronic device determines the first user of the first electronic device according to the target interaction information.
  • the social relationship between the second user and the second user of the second electronic device is qualitatively analyzed based on the electronic device carried by the user, and the analysis result is more accurate.
  • the social relationship between the users can be qualitatively analyzed according to the interaction signal strength value, the interaction distance value, and the interaction duration, thereby improving the user experience.
  • the signal strength value uses a Bluetooth signal strength value between two electronic devices; the interaction distance value may be determined by the Bluetooth signal strength value, or the positions of the two electronic devices may be separately obtained by the global positioning system. And determining the interaction distance value according to the location information; the interaction duration may be determined according to the communication duration of communication between the electronic devices via Bluetooth, or may be determined according to the duration of the call between the electronic devices, ensuring that the interaction is carried.
  • the electronic device qualitatively analyzes the accuracy of social relationships between users.
  • the two electronic devices when the target interaction signal strength value exceeds the preset intensity value, and/or the target distance value is less than the preset distance value, and/or the target interaction duration exceeds the preset duration, the two electronic devices may be qualitatively analyzed.
  • the users are intimate social relationships, the analysis results are more accurate, and the user experience is good.
  • the social relationship between the users may be prompted by the APP to improve the user experience.
  • FIG. 1 is a flowchart of a social relationship analysis method according to an exemplary embodiment of the present disclosure
  • FIG. 2 is a flowchart of another social relationship analysis method according to an exemplary embodiment of the present disclosure
  • FIG. 3 is a flowchart of another social relationship analysis method according to an exemplary embodiment of the present disclosure.
  • FIG. 4 is a block diagram of a social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • FIG. 5 is a block diagram of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • FIG. 6 is a block diagram of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • FIGS. 7A-7B are block diagrams of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • FIG. 8 is a block diagram of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • FIG. 9 is a block diagram of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • FIG. 10 is a block diagram of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • FIG. 11 is a schematic structural diagram of a social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • first, second, third, etc. may be used to describe various information in the embodiments of the present disclosure, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other.
  • first information may also be referred to as the second information without departing from the scope of the embodiments of the present disclosure.
  • second information may also be referred to as the first information.
  • word "if” as used herein may be interpreted as "when” or "when” or "in response to a determination.”
  • FIG. 1 is a flowchart of a social relationship analysis method according to an exemplary embodiment, including the following steps:
  • step 101 target interaction information that the first electronic device interacts with the second electronic device is acquired.
  • the electronic device involved in the embodiments of the present disclosure may be various smart terminals, such as a smart phone, a tablet computer, a personal digital assistant (PDA), and the like.
  • a smart phone such as a smart phone, a tablet computer, a personal digital assistant (PDA), and the like.
  • PDA personal digital assistant
  • FIG. 2 is a flowchart of another social relationship analysis method according to an exemplary embodiment.
  • Step 101 As shown in FIG. 2, the process of acquiring target interaction information may include:
  • step 101-1 original interaction information between the first electronic device and the second electronic device is obtained.
  • the original interaction information between the two electronic devices needs to be obtained.
  • the original interaction information is at least one of an interaction signal strength value, an interaction distance value, and an interaction duration. The following describes the acquisition process of the above original interaction information.
  • the interaction signal strength value is a Bluetooth signal strength value when the two electronic devices communicate through Bluetooth.
  • the first electronic device and the second electronic device may establish a Bluetooth connection first, and then acquire a Bluetooth signal strength value between the two electronic devices by using related technologies. Further, the acquired Bluetooth signal strength value is taken as the interactive signal strength value.
  • the interaction distance value can be obtained by any one of the following two ways.
  • the interaction distance value between the two electronic devices is determined according to the Bluetooth signal strength value.
  • the interaction distance value between the first electronic device and the second electronic device may be determined according to the Bluetooth signal strength value between the two electronic devices that have been acquired.
  • the original distance value can be finally determined by a Global Positioning System (GPS) installed on the above two electronic devices.
  • GPS Global Positioning System
  • the first location information of the first electronic device may be acquired by the GPS installed on the first electronic device according to the related art. For example, the latitude and longitude information of the first electronic device is acquired.
  • the second electronic device acquires the second location information of the second electronic device according to the related technology by using the GPS installed by itself.
  • the second location information is sent to the first electronic device through a Bluetooth connection established between the two electronic devices.
  • the first electronic device may calculate a distance value between the two electronic devices by using a related technology.
  • the calculated distance value is taken as the interaction distance value.
  • the interaction duration can also be determined by any of the following two ways.
  • the communication duration of communication between the two electronic devices using Bluetooth can be directly used as the interaction duration.
  • the duration of the call can be used as the interaction duration.
  • the duration of the call may be the duration of the call between the two electronic devices through the ordinary telephone call service, or may be the length of time after the two electronic devices use the video or voice call application APP to make a call.
  • one or more of the interaction signal strength value, the interaction distance value, and the interaction duration may be acquired in the foregoing manner.
  • step 101-2 the original interaction information is filtered to obtain target interaction information.
  • the original interaction information may be removed by the related technology, and the interference information is removed; then the noise is removed by the related technology, and the noise is removed by the related technology. Normalized to get the target Mutual information.
  • step 102 a social relationship between the first user of the first electronic device and the second user of the second electronic device is determined according to the target interaction information.
  • the first electronic device may determine, by the target interaction information, an intimate social relationship between the users of the two electronic devices, where the target interaction information includes a target interaction signal strength value, a target distance value, and a target interaction. One or more of the durations. The following describes the process of intimate social relationship analysis for different target interaction information.
  • the social relationship is determined to be an intimate social relationship.
  • the first electronic device can determine the users of the two electronic devices.
  • Social relationships are intimate social relationships.
  • the first electronic device can determine the users between the two electronic devices.
  • Social relationships are intimate social relationships.
  • the first electronic device can determine the two electronic devices.
  • Social relationships between users are intimate social relationships.
  • the first electronic device may analyze the social relationship between the users of the two electronic devices according to the multiple information in the target interaction information, and improve the accuracy of the analysis result. For example, when the target interaction signal strength value exceeds the preset strength value, and the target interaction duration also exceeds the preset duration, it is determined that the social relationship between the users of the two electronic devices belongs to intimate social interaction. relationship.
  • the target interaction information may be acquired multiple times, and when the plurality of target interaction distance values are relatively close, and the plurality of target interaction signal strength values are also relatively close, the users of the two electronic devices may be determined.
  • the social relationship between them belongs to a fixed ordinary social relationship.
  • the target interaction information acquired multiple times is relatively random, or only the target interaction information is acquired for the first time, in the embodiment of the present disclosure, it may be determined that the social relationship between the users of the two electronic devices should belong to an unfamiliar social relationship.
  • the social relationship may also be applied to the application APP, that is, the foregoing method further includes Not shown in Figure 1):
  • step 103 the social relationship is prompted by the application APP.
  • the analyzed social relationship may be prompted. For example, when users are intimate social relationships, they can make intimate reminders; or when users belong to unfamiliar social relationships, you can set up friend reminders.
  • the first electronic device may automatically acquire the target interaction information with the second electronic device, and then the first electronic device determines the social relationship between the users according to the target interaction information, based on the electronic information carried by the user.
  • the device qualitatively analyzes the social relationship between users, and the analysis results are more accurate. After qualitatively analyzing the social relationship between users, the social relationship can be prompted through the APP to improve the user experience.
  • FIG. 3 is a flowchart of another social relationship analysis method according to an exemplary embodiment, including the following steps:
  • step 301 original interaction information between the first electronic device and the second electronic device is obtained.
  • the original interaction information between the two electronic devices needs to be obtained.
  • the original interaction information is at least one of an interaction signal strength value, an interaction distance value, and an interaction duration.
  • the interactive signal strength value may be a Bluetooth signal strength value when the two electronic devices communicate via Bluetooth.
  • the interaction distance value can be obtained in any of the following two ways.
  • the value of the interaction distance between the two electronic devices is determined based on the Bluetooth signal strength values that have been obtained.
  • a correspondence between the Bluetooth signal strength value and the interaction distance value may be provided, as shown in Table 1.
  • the Bluetooth signal strength value in Table 1 can be a range value as shown in Table 2.
  • the interaction distance value between the first electronic device and the second electronic device may be determined.
  • the respective position information can be obtained by GPS installed on the above two electronic devices, and the original distance value is finally determined.
  • the location information of the two electronic devices may be latitude and longitude values, or relative distance values relative to the same reference object.
  • the interaction duration can also be determined in either of the following two ways.
  • the communication duration of communication between the two electronic devices using Bluetooth can be directly used as the interaction duration.
  • the first electronic device can start a timer after establishing a Bluetooth connection with the second electronic device.
  • the timer is stopped, and the time duration of the timer is read as the interaction duration.
  • the duration of the call can be used as the interaction duration.
  • the duration of the call may be the duration of the call between the two electronic devices through the ordinary telephone call service, or may be the length of time after the two electronic devices use the video or voice call application APP to make a call.
  • the first electronic device can directly read the duration of the call in the call record with the second electronic device as the interaction duration; or the first electronic device can read the voice call APP installed by itself, for example, in the WeChat APP and the second electronic device.
  • one or more of the interaction signal strength value, the interaction distance value, and the interaction duration may be acquired in the foregoing manner.
  • step 302 the original interaction information is sequentially subjected to impurity removal, denoising, and normalization processing to obtain target interaction information.
  • the original interaction information may be filtered by the related technology to remove the interference information and noise, thereby obtaining the target interaction information.
  • step 303 a social relationship between the first user of the first electronic device and the second user of the second electronic device is determined according to the target interaction information.
  • the first electronic device may determine, by using the target interaction information, a social relationship between users of the two electronic devices, where the target interaction information includes a target interaction signal strength value, a target interaction distance value, and a target interaction. One or more of the durations.
  • the above method is used to determine that the social relationship between users belongs to an intimate social relationship, a general social relationship, or an unfamiliar social relationship.
  • step 304 the social relationship is prompted by the application APP.
  • the analyzed social relationship can be prompted by the APP installed on the electronic device.
  • the social relationship between the first user and the second user belongs to a close social relationship
  • the payment transaction APP can prompt the first user to present
  • the second user belongs to an intimate social relationship and can perform operations such as account binding.
  • the real-time chat APP may prompt the first user to currently Make friends with a strange second user.
  • the original interaction information between the second electronic device and the second electronic device may be automatically acquired by the first electronic device, and the original interaction information is sequentially subjected to impurity removal, denoising, and normalization processing to obtain target interaction information. Then, the first electronic device determines the social relationship between the users according to the target interaction information, and after qualitatively analyzing the social relationship between the users, the social relationship can be prompted by the APP, thereby improving the user experience.
  • the embodiment of the present disclosure further provides an embodiment of the social relationship analysis apparatus.
  • FIG. 4 is a block diagram of a social relationship analysis apparatus according to an exemplary embodiment of the present disclosure, including an obtaining module 410 and a determining module 420.
  • the obtaining module 410 is configured to acquire target interaction information between the first electronic device and the second electronic device.
  • the determining module 420 is configured to determine a social relationship between the first user of the first electronic device and the second user of the second electronic device according to the target interaction information acquired by the obtaining module.
  • the first electronic device may automatically acquire the target interaction information with the second electronic device, and then the first electronic device determines the social relationship between the users according to the target interaction information, based on the electronic information carried by the user.
  • the device qualitatively analyzes the social relationship between users, and the analysis results are more accurate.
  • FIG. 5 is a block diagram of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • the implementation module is based on the foregoing embodiment shown in FIG. Module 411 and filter sub-module 412.
  • the obtaining submodule 411 is configured to acquire original interaction information between the first electronic device and the second electronic device.
  • the filtering sub-module 412 is configured to filter the original interaction information acquired by the acquiring sub-module to obtain target interaction information.
  • the original interaction information includes at least one of the following:
  • Interact signal strength values are used to calculate interaction distance values, and interaction duration.
  • the original interaction information between the two electronic devices may be acquired first, the original interaction information is filtered, the useless information is removed, and the social interaction relationship between the users is determined according to the filtered target interaction information, thereby ensuring Analyze the accuracy of the process.
  • the interactive signal strength value is a Bluetooth signal strength value.
  • FIG. 6 is a block diagram of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • the embodiment is based on the foregoing embodiment shown in FIG. 5 , and the obtaining submodule 411 includes: An acquisition unit 4111.
  • the first obtaining unit 4111 is configured to acquire an interaction distance value according to the Bluetooth signal strength value.
  • the interaction distance value between the two electronic devices may be directly determined according to the Bluetooth signal strength value, so as to analyze the user between the subsequent qualitative analysis. Social relationships enhance the user experience.
  • FIG. 7A is a block diagram of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure. The embodiment is based on the foregoing embodiment shown in FIG. 5.
  • the obtaining submodule 411 includes: The second acquisition unit 4112.
  • the second obtaining unit 4112 is configured to acquire a communication duration of communication between the first electronic device and the second electronic device by using Bluetooth, and determine the communication duration as the interaction duration. or,
  • FIG. 7B is a block diagram of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • the obtaining submodule 411 includes: Three acquisition unit 4113.
  • the third obtaining unit 4113 is configured to acquire a duration of a call between the first electronic device and the second electronic device, and determine a duration of the call as an interaction duration.
  • the communication duration of the Bluetooth communication between the two electronic devices can be used as The original interaction duration, or the duration of the call between the two electronic devices can be used as the original interaction duration, ensuring that the subsequent social relationships between the users can be qualitatively analyzed and the user experience is improved.
  • FIG. 8 is a block diagram of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • the filtering submodule 412 includes: filtering. Unit 4121.
  • the filtering unit 4121 is configured to sequentially perform impurity removal, denoising, and normalization processing on the original interaction information acquired by the acquisition submodule to obtain target interaction information.
  • the original interaction information needs to be filtered to remove useless information, and the accuracy of the social relationship between the users is determined qualitatively.
  • FIG. 9 is a block diagram of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • the determining module 420 includes the following submodules. At least one of the first determining submodule 421, the second determining submodule 422, and the third determining submodule 423.
  • the first determining sub-module 421 is configured to determine that the social relationship is an intimate social relationship when the target interaction signal strength value in the target interaction information filtered by the filtering sub-module exceeds a preset intensity value;
  • the second determining sub-module 422 is configured to determine that the social relationship is an intimate social relationship when the target interaction distance value in the target interaction information filtered by the filtering sub-module is less than a preset distance value;
  • the third determining sub-module 423 is configured to determine that the social relationship is an intimate social relationship when the target interaction duration in the target interaction information filtered by the filtering sub-module exceeds a preset duration.
  • the two electronic devices when the target interaction signal strength value exceeds the preset intensity value, and/or the target interaction distance value is less than the preset distance value, and/or the target interaction duration exceeds the preset duration, the two electronic devices can be qualitatively analyzed.
  • the social relationship between users is intimate social relationship, the analysis results are more accurate, and the user experience is good.
  • FIG. 10 is a block diagram of another social relationship analysis apparatus according to an exemplary embodiment of the present disclosure.
  • the embodiment further includes: a prompting module 430, based on the foregoing embodiment shown in FIG. .
  • the prompting module 430 is configured to prompt the determining the social relationship determined by the module by using the application APP.
  • the social relationship between the users may be prompted by the APP to improve the user experience.
  • the embodiment of the present disclosure further provides a social relationship analysis apparatus, including:
  • a memory configured to store processor executable instructions
  • processor is configured to:
  • FIG. 11 is a schematic structural diagram of a social relationship analysis apparatus 1100 according to an exemplary embodiment of the present disclosure.
  • the device 1100 may be an electronic device, such as a smart terminal, which may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a smart socket, a smart blood pressure monitor, a game console, a tablet device, a medical device, a fitness device. , personal digital assistants, etc.
  • apparatus 1100 can include one or more of the following components: processing component 1102, memory 1104, power component 1106, multimedia component 1108, audio component 1110, input/output (I/O) interface 1112, sensor component 1114, and Communication component 1116.
  • Processing component 1102 typically controls the overall operation of device 1100, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations.
  • Processing component 1102 can include one or more processors 1120 to execute instructions to perform all of the methods described above Or part of the steps.
  • processing component 1102 can include one or more modules to facilitate interaction between component 1102 and other components.
  • the processing component 1102 can include a multimedia module to facilitate interaction between the multimedia component 1108 and the processing component 1102.
  • Memory 1104 is configured to store various types of data to support operation at device 1100. Examples of such data include instructions for any application or method operating on device 1100, contact data, phone book data, messages, pictures, videos, and the like.
  • the memory 1104 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read only memory
  • EPROM Programmable Read Only Memory
  • PROM Programmable Read Only Memory
  • ROM Read Only Memory
  • Magnetic Memory Flash Memory
  • Disk Disk or Optical Disk.
  • Power component 1106 provides power to various components of device 1100.
  • Power component 1106 can include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for device 1100.
  • the multimedia component 1108 includes a screen between the device 1100 and the user that provides an output interface.
  • the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensor can sense not only the boundaries of the touch or sliding action, but also the duration and pressure associated with the touch or slide operation.
  • the multimedia component 1108 includes a front camera and/or a rear camera. When the device 1100 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
  • the audio component 1110 is configured to output and/or input an audio signal.
  • the audio component 1110 includes a microphone (MIC) when the device 1100 is in an operational mode, such as a call mode, In the recording mode and the voice recognition mode, the microphone is configured to receive an external audio signal.
  • the received audio signal may be further stored in memory 1104 or transmitted via communication component 1116.
  • the audio component 1110 also includes a speaker configured to output an audio signal.
  • the I/O interface 1112 provides an interface between the processing component 1102 and a peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to, a home button, a volume button, a start button, and a lock button.
  • Sensor assembly 1114 includes one or more sensors configured to provide a status assessment of various aspects of device 1100.
  • the sensor assembly 1114 can detect an open/closed state of the device 1100, the relative positioning of the components, such as a display and a keypad of the device 1100, and the sensor component 1114 can also detect a change in position of a component of the device 1100 or device 1100, the user The presence or absence of contact with device 1100, device 1100 orientation or acceleration/deceleration and temperature change of device 1100.
  • Sensor assembly 1114 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 1114 may also include a light sensor, such as a CMOS or CCD image sensor, configured for use in imaging applications.
  • the sensor assembly 1114 can also include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, a microwave sensor, or a temperature sensor.
  • Communication component 1116 is configured to facilitate wired or wireless communication between device 1100 and other devices.
  • the device 1100 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof.
  • communication component 1116 receives broadcast signals or broadcast associated information from an external broadcast management system via a broadcast channel.
  • communication component 1116 also includes a near field communication (NFC) module to facilitate short range communication.
  • NFC near field communication
  • the NFC module can be based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and its He realized the technology.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • apparatus 1100 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A gate array (FPGA), controller, microcontroller, microprocessor, or other electronic component implementation configured to perform the above methods.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable A gate array
  • controller microcontroller, microprocessor, or other electronic component implementation configured to perform the above methods.
  • non-transitory computer readable storage medium comprising instructions, such as a memory 1104 comprising instructions executable by processor 1120 of apparatus 1100 to perform the above method.
  • the non-transitory computer readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.
  • the first electronic device may automatically acquire the target interaction information with the second electronic device, and then the first electronic device determines the first user of the first electronic device according to the target interaction information.
  • the social relationship between the second user and the second user of the second electronic device is qualitatively analyzed based on the electronic device carried by the user, and the analysis result is more accurate.
  • the social relationship between the users can be qualitatively analyzed according to the interaction signal strength value, the interaction distance value, and the interaction duration, thereby improving the user experience.
  • the signal strength value uses a Bluetooth signal strength value between two electronic devices; the interaction distance value may be determined by the Bluetooth signal strength value, or the positions of the two electronic devices may be separately obtained by the global positioning system. And determining the interaction distance value according to the location information; the interaction duration may be determined according to the communication duration of communication between the electronic devices via Bluetooth, or may be determined according to the duration of the call between the electronic devices, ensuring that the interaction is carried.
  • the electronic device qualitatively analyzes the accuracy of social relationships between users.
  • the two electronic devices when the target interaction signal strength value exceeds the preset intensity value, and/or the target distance value is less than the preset distance value, and/or the target interaction duration exceeds the preset duration, the two electronic devices may be qualitatively analyzed.
  • the users are intimate social relationships, the analysis results are more accurate, and the user experience is good.
  • the social relationship between the users may be prompted by the APP to improve the user experience.

Abstract

本公开实施例提供了社交关系分析方法及装置，其中，所述方法包括：获取第一电子设备与第二电子设备之间的目标交互信息；根据目标交互信息，确定第一电子设备的第一用户与第二电子设备的第二用户之间的社交关系。

Description

社交关系分析方法及装置
本申请基于申请号为201510524653.4、申请日为2015年08月24日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本公开实施例涉及信息技术领域，尤其涉及社交关系分析方法及装置。
背景技术
随着信息及通信技术蓬勃发展，以及电子设备轻、薄、短、小的趋势，用户往往会随身携带电子设备，例如手机或手环等，因此可以基于用户随身携带的电子设备对用户之间的社交关系进行分析。
由于模拟社交关系比较复杂，因此，相关技术中，一般由用户先自行定义作为一个社交群的其他用户，进而通过随身携带的电子设备与处于同一社交群中的其他用户的电子设备进行配对后，产生相应的社交关系分析数据。这种分析方式相对简单，分析结果不够准确。
发明内容
有鉴于此，本公开实施例提供社交关系分析方法及装置，以解决相关技术中对社交关系分析简单，分析结果不够准确的问题。
根据本公开实施例的第一方面，提供一种社交关系分析方法，所述方法包括：
获取第一电子设备与第二电子设备之间的目标交互信息；
根据所述目标交互信息，确定所述第一电子设备的第一用户与所述 第二电子设备的第二用户之间的社交关系。
可选地，所述获取第一电子设备与第二电子设备之间的目标交互信息包括：
获取所述第一电子设备与所述第二电子设备之间的原始交互信息；
对所述原始交互信息进行过滤，得到所述目标交互信息；
其中，所述原始交互信息包括以下至少一项：
交互信号强度值、交互距离值以及交互时长。
可选地，所述交互信号强度值为蓝牙信号强度值。
可选地，获取所述交互距离值包括：
根据所述蓝牙信号强度值，获取所述交互距离值。
可选地，获取所述交互时长包括：
获取所述第一电子设备与所述第二电子设备之间通过蓝牙进行通信的通信时长，并将所述通信时长确定为所述交互时长；或者，
获取所述第一电子设备与所述第二电子设备之间的通话时长，并将所述通话时长确定为所述交互时长。
可选地，所述对所述原始交互信息进行过滤，得到所述目标交互信息包括：
对所述原始交互信息依次进行除杂、除噪和归一化处理，得到所述目标交互信息。
可选地，所述根据所述目标交互信息，确定所述第一电子设备的第一用户与所述第二电子设备的第二用户之间的社交关系，包括以下至少一项：
当目标交互信号强度值超过预设强度值时，确定所述社交关系为亲密社交关系；
当目标交互距离值小于预设距离值时，确定所述社交关系为亲密社 交关系；
当目标交互时长超过预设时长时，确定所述社交关系为亲密社交关系。
可选地，在所述确定所述第一电子设备的第一用户与所述第二电子设备的第二用户之间的社交关系之后，所述方法还包括：
通过应用程序APP提示所述社交关系。
根据本公开实施例的第二方面，提供一种社交关系分析装置，所述装置包括：
获取模块，配置为获取第一电子设备与第二电子设备之间的目标交互信息；
确定模块，配置为根据所述获取模块获取的所述目标交互信息，确定所述第一电子设备的第一用户与所述第二电子设备的第二用户之间的社交关系。
可选地，所述获取模块包括：
获取子模块，配置为获取所述第一电子设备与所述第二电子设备之间的原始交互信息；
过滤子模块，配置为对所述获取子模块获取的所述原始交互信息进行过滤，得到所述目标交互信息；
其中，所述原始交互信息包括以下至少一项：
交互信号强度值、交互距离值以及交互时长。
可选地，所述交互信号强度值为蓝牙信号强度值。
可选地，所述获取子模块包括：
第一获取单元，配置为根据所述蓝牙信号强度值，获取所述交互距离值。
可选地，所述获取子模块包括：
第二获取单元，配置为获取所述第一电子设备与所述第二电子设备之间通过蓝牙进行通信的通信时长，并将所述通信时长确定为所述交互时长；或者，
第三获取单元，配置为获取所述第一电子设备与所述第二电子设备之间的通话时长，并将所述通话时长确定为所述交互时长。
可选地，所述过滤子模块包括：
过滤单元，配置为对所述获取子模块获取的所述原始交互信息依次进行除杂、除噪和归一化处理，得到所述目标交互信息。
可选地，所述确定模块包括以下子模块的至少一项：
第一确定子模块，配置为当所述过滤子模块过滤得到的所述目标交互信息中的目标交互信号强度值超过预设强度值时，确定所述社交关系为亲密社交关系；
第二确定子模块，配置为当所述过滤子模块过滤得到的所述目标交互信息中的目标交互距离值小于预设距离值时，确定所述社交关系为亲密社交关系；
第三确定子模块，配置为当所述过滤子模块过滤得到的所述目标交互信息中的目标交互时长超过预设时长时，确定所述社交关系为亲密社交关系。
可选地，所述装置还包括：
提示模块，配置为通过应用程序APP提示所述确定模块确定的所述社交关系。
根据本公开实施例的第三方面，提供一种社交关系分析装置，包括：
处理器；
配置为存储处理器可执行指令的存储器；
其中，所述处理器被配置为：
获取第一电子设备与第二电子设备之间的目标交互信息；
根据所述目标交互信息，确定所述第一电子设备的第一用户与所述第二电子设备的第二用户之间的社交关系。
本公开的实施例提供的技术方案可以包括以下有益效果：
本公开实施例中，可以由第一电子设备自动获取与第二电子设备之间的目标交互信息，再由所述第一电子设备根据目标交互信息，确定所述第一电子设备的第一用户与所述第二电子设备的第二用户之间的社交关系，基于用户随身携带的电子设备对用户之间的社交关系进行定性分析，分析结果较为准确。
本公开实施例中，可以根据交互信号强度值、交互距离值和交互时长对用户之间的社交关系进行定性分析，提升了用户体验。
本公开实施例中，信号强度值采用两个电子设备之间的蓝牙信号强度值；交互距离值可以通过所述蓝牙信号强度值进行确定，也可以通过全球定位系统分别获取两个电子设备的位置信息，进而根据位置信息计算后确定所述交互距离值；交互时长可以根据电子设备之间的通过蓝牙进行通信的通信时长确定，也可以根据电子设备之间的通话时长确定，确保了基于随身携带的电子设备定性分析用户之间社交关系的准确性。
本公开实施例中，当目标交互信号强度值超过预设强度值，和/或目标距离值小于预设距离值，和/或目标交互时长超过预设时长时，可以定性分析出两个电子设备的用户之间为亲密社交关系，分析结果较为准确，用户体验好。
本公开实施例中，在定性分析出用户之间社交关系后，可以通过所述APP提示所述社交关系，提升了用户体验。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本发明。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本公开的实施例，并与说明书一起用于解释本公开实施例的原理。
图1是本公开根据一示例性实施例示出的一种社交关系分析方法流程图；
图2是本公开根据一示例性实施例示出的另一种社交关系分析方法流程图；
图3是本公开根据一示例性实施例示出的另一种社交关系分析方法流程图；
图4是本公开根据一示例性实施例示出的一种社交关系分析装置框图；
图5是本公开根据一示例性实施例示出的另一种社交关系分析装置框图；
图6是本公开根据一示例性实施例示出的另一种社交关系分析装置框图；
图7A-7B是本公开根据一示例性实施例示出的另一种社交关系分析装置框图；
图8是本公开根据一示例性实施例示出的另一种社交关系分析装置框图；
图9是本公开根据一示例性实施例示出的另一种社交关系分析装置框图；
图10是本公开根据一示例性实施例示出的另一种社交关系分析装置框图；
图11是本公开根据一示例性实施例示出的一种用于社交关系分析装置的一结构示意图。
具体实施方式
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本公开实施例相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本公开实施例的一些方面相一致的装置和方法的例子。
在本公开实施例使用的术语是仅仅出于描述特定实施例的目的，而非旨在限制本公开。在本公开实施例和所附权利要求书中所使用的单数形式的“一种”和“该”也旨在包括多数形式，除非上下文清楚地表示其他含义。还应当理解，本文中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。
应当理解，尽管在本公开实施例可能采用术语第一、第二、第三等来描述各种信息，但这些信息不应限于这些术语。这些术语仅用来将同一类型的信息彼此区分开。例如，在不脱离本公开实施例范围的情况下，第一信息也可以被称为第二信息，类似地，第二信息也可以被称为第一信息。取决于语境，如在此所使用的词语“如果”可以被解释成为“在……时”或“当……时”或“响应于确定”。
如图1所示，图1是根据一示例性实施例示出的一种社交关系分析方法的流程图，包括以下步骤：
在步骤101中，获取第一电子设备与第二电子设备交互的目标交互信息。
本公开实施例中涉及的电子设备可以是各种智能终端，例如，智能手机、平板电脑、个人数字助理(Personal Digital Assistant，PDA)等。
参照图2根据一示例性实施例示出的另一种社交关系分析方法的流程图，步骤101如图2所示，获取目标交互信息的过程可以包括：
在步骤101-1中，获取第一电子设备与第二电子设备之间的原始交互信息。
本步骤中，需要获取两个电子设备之间的原始交互信息。可选地，原始交互信息为交互信号强度值、交互距离值和交互时长中的至少一项。下面分别介绍一下上述原始交互信息的获取过程。
<交互信号强度值的获取过程>
本公开实施例中，可选地，交互信号强度值为两个电子设备之间通过蓝牙进行通信时的蓝牙信号强度值。
第一电子设备与第二电子设备可以先建立蓝牙连接，再通过相关技术，获取上述两个电子设备之间的蓝牙信号强度值。进一步地，将获取到的蓝牙信号强度值作为交互信号强度值。
<交互距离值的获取过程>
本公开实施例中，可以通过以下两种方式中的任意一种得到交互距离值。
<方式一>
在上述已经获取到第一电子设备与第二电子设备之间的蓝牙信号强度值的基础上，根据蓝牙信号强度值，来确定两个电子设备之间的交互距离值。
相关技术中，两个电子设备之间的距离越短，蓝牙信号强度值越大；距离越长，蓝牙信号强度值越小。因此，本公开实施例中，可以根据已经获取到的两个电子设备之间的蓝牙信号强度值，确定第一电子设备与第二电子设备之间的交互距离值。
<方式二>
可以通过安装在上述两个电子设备上的全球定位系统(Global Positioning System，GPS)来最终确定原始距离值。
可以按照相关技术通过第一电子设备上安装的GPS获取到第一电子设备的第一位置信息。例如，获取第一电子设备的经纬度信息。
同样地，第二电子设备通过自身安装的GPS按照相关技术，获取第二电子设备的第二位置信息。可选地，再通过两个电子设备之间已经建立的蓝牙连接将第二位置信息发送给第一电子设备。
第一电子设备在获取到第一位置信息，且接收到第二位置信息后，可以通过相关技术计算出两个电子设备之间的距离值。将计算出的距离值作为交互距离值。
<交互时长的获取过程>
本公开实施例中，同样可以通过以下两种方式中的任意一种确定交互时长。
<方式一>
由于第一电子设备与第二电子设备已经建立了蓝牙连接，可以直接将两个电子设备之间采用蓝牙进行通信的通信时长作为交互时长。
<方式二>
当两个电子设备之间进行通话后，可以将通话时长作为交互时长。本公开实施例中，通话时长可以是两个电子设备之间通过普通电话呼叫业务产生的时长，还可以是两个电子设备之间采用视频或语音通话应用程序APP进行通话后所产生的时长。
本公开实施例中，可以采用上述方式获取到交互信号强度值、交互距离值和交互时长中的一项或多项。
在步骤101-2中，对原始交互信息进行过滤，得到目标交互信息。
本步骤中，可选地，在获取到原始交互信息后，可以通过相关技术对原始交互信息除杂，去除其中的干扰信息；然后通过相关技术除噪，去除其中的噪声，最后通过相关技术进行归一化处理，从而得到目标交 互信息。
在步骤102中，根据目标交互信息，确定第一电子设备的第一用户与第二电子设备的第二用户之间的社交关系。
本步骤中，可选地，第一电子设备可以通过目标交互信息，确定两个电子设备的用户之间的亲密社交关系，其中目标交互信息中包括目标交互信号强度值、目标距离值和目标交互时长中的一项或多项。下面针对不同的目标交互信息，介绍一下亲密社交关系分析的过程。
<根据目标交互信号强度值确定亲密社交关系的过程>
当目标交互信号强度值超过预设强度值时，确定社交关系为亲密社交关系。
一般情况下，两个电子设备之间在地理位置上越接近，目标交互信号强度值越大，当目标交互信号强度值超过预设强度值时，第一电子设备可以确定两个电子设备的用户之间的社交关系属于亲密社交关系。
<根据目标交互距离值确定亲密社交关系的过程>
同样地，当目标交互距离值越小，说明两个电子设备之间在地理位置上越接近，当目标交互距离值小于预设距离值时，第一电子设备可以确定两个电子设备的用户之间的社交关系属于亲密社交关系。
<根据目标交互时长确定亲密社交关系的过程>
如果两个电子设备之间的目标交互时长越长，说明两个电子设备的用户之间关系越亲近，当目标交互时长超过预设时长时，此时第一电子设备可以确定两个电子设备的用户之间的社交关系属于亲密社交关系。
在实际应用中，第一电子设备可以根据目标交互信息中的多项信息分析两个电子设备的用户之间的社交关系，提高分析结果的准确性。例如，可以在目标交互信号强度值超过预设强度值，目标交互时长同样超过预设时长时，确定两个电子设备的用户之间的社交关系属于亲密社交 关系。
本公开实施例中，除了可以通过目标交互信息，确定两个电子设备的用户之间是否属于亲密社交关系外，还可以判断出用户之间是否属于比较固定的普通社交关系，例如同事关系。可选地，可以多次获取目标交互信息，当其中的多个目标交互距离值之间比较接近，且多个目标交互信号强度值之间同样比较接近时，可以确定上述两个电子设备的用户之间的社交关系属于固定的普通社交关系。
当然，如果多次获取到的目标交互信息比较随机，或者仅是首次获取到目标交互信息，则本公开实施例中，可以确定两个电子设备的用户之间的社交关系应属于陌生社交关系。
本公开实施例中，在确定第一电子设备的第一用户与第二电子设备的第二用户之间的社交关系之后，还可以将社交关系应用到应用程序APP中，即上述方法还包括(图1中未示出)：
在步骤103中，通过应用程序APP提示社交关系。
本步骤中，当用户之间通过电子设备上的APP建立了关联关系后，可以对分析出的社交关系进行提示。例如，用户之间属于亲密社交关系时，可以做亲密提醒；或者用户之间属于陌生社交关系时，可以设置交友提醒。
上述实施例中，可以由第一电子设备自动获取与第二电子设备之间的目标交互信息，再由第一电子设备根据目标交互信息，确定用户之间的社交关系，基于用户随身携带的电子设备对用户之间的社交关系进行定性分析，分析结果较为准确。且在定性分析出用户之间社交关系后，可以通过APP提示社交关系，提升了用户体验。
如图3所示，图3是根据一示例性实施例示出的另一种社交关系分析方法的流程图，包括以下步骤：
在步骤301中，获取第一电子设备与第二电子设备之间的原始交互信息。
本步骤中，需要获取两个电子设备之间的原始交互信息。可选地，原始交互信息为交互信号强度值、交互距离值和交互时长中的至少一项。其中，交互信号强度值可以采用两个电子设备之间通过蓝牙进行通信时的蓝牙信号强度值。
交互距离值可以通过以下两种方式中的任意一种得到。
<方式一>
根据已经获得的蓝牙信号强度值，来确定两个电子设备之间的交互距离值。
本公开实施例中，可选地，可以提供蓝牙信号强度值和交互距离值之间的对应关系，如表1所示。
表1
蓝牙信号强度值 交互距离值
P1 S1
P2 S2
P3 S3
实际应用中，两个电子设备相隔同一距离时，由于环境等各种因素的影响，获取到的两个电子设备之间的蓝牙信号强度值也可以不同。因此，在表1中蓝牙信号强度值可以是一个范围值，如表2所示。
表2
蓝牙信号强度值 交互距离值
P1-P4 S1
P2-P5 S2
P3-P6 S3
表2中，蓝牙信号强度值处于P1-P4的范围内时，对应两个电子设备之间的交互距离值为S1。
根据表1或表2的对应关系，在已经获取到的两个电子设备之间的蓝牙信号强度值的基础上，可以确定第一电子设备与第二电子设备之间的交互距离值。
<方式二>
可以通过安装在上述两个电子设备上的GPS分别获取各自的位置信息，最终确定原始距离值。
两个电子设备的位置信息可以是经纬度值，或者相对于同一参照物的相对距离值。
交互时长同样可以通过以下两种方式中的任意一种确定。
<方式一>
由于第一电子设备与第二电子设备已经建立了蓝牙连接，可以直接将两个电子设备之间采用蓝牙进行通信的通信时长作为交互时长。
第一电子设备可以在与第二电子设备建立蓝牙连接后，启动一计时器，当蓝牙通信结束后，停止计时，读取计时器的计时时长作为交互时长。
<方式二>
当两个电子设备之间进行通话后，可以将通话时长作为交互时长。本公开实施例中，通话时长可以是两个电子设备之间通过普通电话呼叫业务产生的时长，还可以是两个电子设备之间采用视频或语音通话应用程序APP进行通话后所产生的时长。
第一电子设备可以直接读取通话记录中与第二电子设备的通话时长作为交互时长；或者第一电子设备可以读取自身安装的语音通话APP，例如读取微信APP中与第二电子设备进行语音聊天的时长作为交互时 长。
本公开实施例中，可以采用上述方式获取到交互信号强度值、交互距离值和交互时长中的一项或多项。
在步骤302中，对原始交互信息依次进行除杂、除噪和归一化处理，得到目标交互信息。
本步骤中，在获取到原始交互信息后，可以通过相关技术对原始交互信息进行过滤，去除其中的干扰信息和噪声等，从而得到目标交互信息。
在步骤303中，根据目标交互信息，确定第一电子设备的第一用户与第二电子设备的第二用户之间的社交关系。
本步骤中，可选地，第一电子设备可以通过目标交互信息，确定两个电子设备的用户之间的社交关系，其中目标交互信息中包括目标交互信号强度值、目标交互距离值和目标交互时长中的一项或多项。通过上述方法确定用户之间的社交关系属于亲密社交关系、普通社交关系或是陌生社交关系。
在步骤304中，通过应用程序APP提示社交关系。
本步骤中，可以通过安装在电子设备上的APP对分析出的社交关系进行提示。
例如，已经确定了第一用户与第二用户之间的社交关系属于亲密社交关系，则当第一用户登录了第一电子设备上的支付交易APP后，支付交易APP可以提示第一用户当前与第二用户属于亲密社交关系，可以进行账号绑定之类的操作。
或者，已经确定了第一用户与第二用户之间的社交关系属于陌生社交关系，则当第一用户登录了第一电子设备上的实时聊天APP后，实时聊天APP可以提示第一用户当前可以与陌生的第二用户进行交友。
上述实施例中，可以由第一电子设备自动获取与第二电子设备之间的原始交互信息，对原始交互信息依次进行除杂、除噪和归一化处理，得到目标交互信息。再由第一电子设备根据目标交互信息，确定用户之间的社交关系，且在定性分析出用户之间社交关系后，可以通过APP提示社交关系，提升了用户体验。
与前述社交关系分析方法实施例相对应，本公开实施例还提供了社交关系分析装置的实施例。
如图4所示，图4是本公开根据一示例性实施例示出的一种社交关系分析装置框图，包括：获取模块410和确定模块420。
其中，获取模块410，被配置为获取第一电子设备与第二电子设备之间的目标交互信息；
确定模块420，被配置为根据获取模块获取的目标交互信息，确定第一电子设备的第一用户与第二电子设备的第二用户之间的社交关系。
上述实施例中，可以由第一电子设备自动获取与第二电子设备之间的目标交互信息，再由第一电子设备根据目标交互信息，确定用户之间的社交关系，基于用户随身携带的电子设备对用户之间的社交关系进行定性分析，分析结果较为准确。
如图5所示，图5是本公开根据一示例性实施例示出的另一种社交关系分析装置框图，该实施例在前述图4所示实施例的基础上，获取模块410包括：获取子模块411和过滤子模块412。
其中，获取子模块411，被配置为获取第一电子设备与第二电子设备之间的原始交互信息；
过滤子模块412，被配置为对获取子模块获取的原始交互信息进行过滤，得到目标交互信息；
其中，原始交互信息包括以下至少一项：
交互信号强度值、交互距离值以及交互时长。
上述实施例中，可以先获取两个电子设备之间的原始交互信息，对原始交互信息进行过滤，去除其中无用的信息，进而根据过滤得到的目标交互信息确定用户之间的社交关系，确保了分析过程的准确性。
上述实施例中，交互信号强度值为蓝牙信号强度值。
如图6所示，图6是本公开根据一示例性实施例示出的另一种社交关系分析装置框图，该实施例在前述图5所示实施例的基础上，获取子模块411包括：第一获取单元4111。
其中，第一获取单元4111，被配置为根据蓝牙信号强度值，获取交互距离值。
上述实施例中，当已经获取到两个电子设备之间的蓝牙信号强度值后，可以直接根据蓝牙信号强度值，确定两个电子设备之间的交互距离值，以便后续定性分析用户之间的社交关系，提升了用户体验。
如图7A所示，图7A是本公开根据一示例性实施例示出的另一种社交关系分析装置框图，该实施例在前述图5所示实施例的基础上，获取子模块411包括：第二获取单元4112。
其中，第二获取单元4112，被配置为获取第一电子设备与第二电子设备之间通过蓝牙进行通信的通信时长，并将通信时长确定为交互时长。或者，
如图7B所示，图7B是本公开根据一示例性实施例示出的另一种社交关系分析装置框图，该实施例在前述图5所示实施例的基础上，获取子模块411包括：第三获取单元4113。
其中，第三获取单元4113，被配置为获取第一电子设备与第二电子设备之间的通话时长，并将通话时长确定为交互时长。
上述实施例中，可以将两个电子设备之间蓝牙通信的通信时长作为 原始交互时长，或者还可以将两个电子设备之间的通话时长作为原始交互时长，确保后续可以定性分析用户之间的社交关系，提升了用户体验。
如图8所示，图8是本公开根据一示例性实施例示出的另一种社交关系分析装置框图，该实施例在前述图5所示实施例的基础上，过滤子模块412包括：过滤单元4121。
其中，过滤单元4121，被配置为对获取子模块获取的原始交互信息依次进行除杂、除噪和归一化处理，得到目标交互信息。
上述实施例中，需要对原始交互信息进行过滤，去除无用的信息，确保后续定性分析用户之间的社交关系的准确性。
如图9所示，图9是本公开根据一示例性实施例示出的另一种社交关系分析装置框图，该实施例在前述图5所示实施例的基础上，确定模块420包括以下子模块的至少一项：第一确定子模块421、第二确定子模块422和第三确定子模块423。
其中，第一确定子模块421，被配置为当过滤子模块过滤得到的目标交互信息中的目标交互信号强度值超过预设强度值时，确定社交关系为亲密社交关系；
第二确定子模块422，被配置为当过滤子模块过滤得到的目标交互信息中的目标交互距离值小于预设距离值时，确定社交关系为亲密社交关系；
第三确定子模块423，被配置为当过滤子模块过滤得到的目标交互信息中的目标交互时长超过预设时长时，确定社交关系为亲密社交关系。
上述实施例中，当目标交互信号强度值超过预设强度值，和/或目标交互距离值小于预设距离值，和/或目标交互时长超过预设时长时，可以定性分析出两个电子设备的用户之间的社交关系为亲密社交关系，分析结果较为准确，用户体验好。
如图10所示，图10是本公开根据一示例性实施例示出的另一种社交关系分析装置框图，该实施例在前述图4所示实施例的基础上，装置还包括：提示模块430。
其中，提示模块430，被配置为通过应用程序APP提示确定模块确定的社交关系。
上述实施例中，在定性分析出用户之间社交关系后，进一步地，可以通过APP提示社交关系，提升了用户体验。
相应的，本公开实施例还提供一种社交关系分析装置，包括：
处理器；
配置为存储处理器可执行指令的存储器；
其中，处理器被配置为：
获取第一电子设备与第二电子设备之间的目标交互信息；
根据目标交互信息，确定第一电子设备的第一用户与第二电子设备的第二用户之间的社交关系。
如图11所示，图11是本公开根据一示例性实施例示出的一种用于社交关系分析装置1100的结构示意图。例如，装置1100可以是电子设备，例如，智能终端，该终端可以为移动电话，计算机，数字广播终端，消息收发设备，智能插座，智能血压计，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理等。
参照图11，装置1100可以包括以下一个或多个组件：处理组件1102，存储器1104，电源组件1106，多媒体组件1108，音频组件1110，输入/输出(I/O)接口1112，传感器组件1114，以及通信组件1116。
处理组件1102通常控制装置1100的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件1102可以包括一个或多个处理器1120来执行指令，以完成上述的方法的全部 或部分步骤。此外，处理组件1102可以包括一个或多个模块，便于处理组件1102和其他组件之间的交互。例如，处理组件1102可以包括多媒体模块，以方便多媒体组件1108和处理组件1102之间的交互。
存储器1104被配置为存储各种类型的数据以支持在装置1100的操作。这些数据的示例包括用于在装置1100上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器1104可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件1106为装置1100的各种组件提供电力。电源组件1106可以包括电源管理系统，一个或多个电源，及其他与为装置1100生成、管理和分配电力相关联的组件。
多媒体组件1108包括在装置1100和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件1108包括一个前置摄像头和/或后置摄像头。当装置1100处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件1110被配置为输出和/或输入音频信号。例如，音频组件1110包括一个麦克风(MIC)，当装置1100处于操作模式，如呼叫模式、 记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器1104或经由通信组件1116发送。在一些实施例中，音频组件1110还包括一个扬声器，配置为输出音频信号。
I/O接口1112为处理组件1102和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件1114包括一个或多个传感器，配置为为装置1100提供各个方面的状态评估。例如，传感器组件1114可以检测到装置1100的打开/关闭状态，组件的相对定位，例如组件为装置1100的显示器和小键盘，传感器组件1114还可以检测装置1100或装置1100一个组件的位置改变，用户与装置1100接触的存在或不存在，装置1100方位或加速/减速和装置1100的温度变化。传感器组件1114可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件1114还可以包括光传感器，如CMOS或CCD图像传感器，配置为在成像应用中使用。在一些实施例中，该传感器组件1114还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器，微波传感器或温度传感器。
通信组件1116被配置为便于装置1100和其他设备之间有线或无线方式的通信。装置1100可以接入基于通信标准的无线网络，如WiFi、2G或3G，或它们的组合。在一个示例性实施例中，通信组件1116经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，通信组件1116还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其 他技术来实现。
在示例性实施例中，装置1100可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，配置为执行上述方法。
在示例性实施例中，还提供了一种包括指令的非临时性计算机可读存储介质，例如包括指令的存储器1104，上述指令可由装置1100的处理器1120执行以完成上述方法。例如，非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本公开实施例的其它实施方案。本公开实施例旨在涵盖本公开实施例的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开实施例的一般性原理并包括本公开实施例未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开实施例的真正范围和精神由下面的权利要求指出。
应当理解的是，本公开实施例并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本公开实施例的范围仅由所附的权利要求来限制。
工业实用性
本公开实施例中，可以由第一电子设备自动获取与第二电子设备之间的目标交互信息，再由所述第一电子设备根据目标交互信息，确定所述第一电子设备的第一用户与所述第二电子设备的第二用户之间的社交关系，基于用户随身携带的电子设备对用户之间的社交关系进行定性分析，分析结果较为准确。
本公开实施例中，可以根据交互信号强度值、交互距离值和交互时长对用户之间的社交关系进行定性分析，提升了用户体验。
本公开实施例中，信号强度值采用两个电子设备之间的蓝牙信号强度值；交互距离值可以通过所述蓝牙信号强度值进行确定，也可以通过全球定位系统分别获取两个电子设备的位置信息，进而根据位置信息计算后确定所述交互距离值；交互时长可以根据电子设备之间的通过蓝牙进行通信的通信时长确定，也可以根据电子设备之间的通话时长确定，确保了基于随身携带的电子设备定性分析用户之间社交关系的准确性。
本公开实施例中，当目标交互信号强度值超过预设强度值，和/或目标距离值小于预设距离值，和/或目标交互时长超过预设时长时，可以定性分析出两个电子设备的用户之间为亲密社交关系，分析结果较为准确，用户体验好。
本公开实施例中，在定性分析出用户之间社交关系后，可以通过所述APP提示所述社交关系，提升了用户体验。

Claims (17)

  1. 一种社交关系分析方法，包括：
    获取第一电子设备与第二电子设备之间的目标交互信息；
    根据所述目标交互信息，确定所述第一电子设备的第一用户与所述第二电子设备的第二用户之间的社交关系。
  2. 如权利要求1所述的方法，其中，所述获取第一电子设备与第二电子设备之间的目标交互信息包括：
    获取所述第一电子设备与所述第二电子设备之间的原始交互信息；
    对所述原始交互信息进行过滤，得到所述目标交互信息；
    其中，所述原始交互信息包括以下至少一项：
    交互信号强度值、交互距离值以及交互时长。
  3. 如权利要求2所述的方法，其中，所述交互信号强度值为蓝牙信号强度值。
  4. 如权利要求3所述的方法，其中，获取所述交互距离值包括：
    根据所述蓝牙信号强度值，获取所述交互距离值。
  5. 如权利要求2所述的方法，其中，获取所述交互时长包括：
    获取所述第一电子设备与所述第二电子设备之间通过蓝牙进行通信的通信时长，并将所述通信时长确定为所述交互时长；或者，
    获取所述第一电子设备与所述第二电子设备之间的通话时长，并将所述通话时长确定为所述交互时长。
  6. 如权利要求2所述的方法，其中，所述对所述原始交互信息进行过滤，得到所述目标交互信息包括：
    对所述原始交互信息依次进行除杂、除噪和归一化处理，得到所述目标交互信息。
  7. 如权利要求2所述的方法，其中，所述根据所述目标交互信息， 确定所述第一电子设备的第一用户与所述第二电子设备的第二用户之间的社交关系，包括以下至少一项：
    当目标交互信号强度值超过预设强度值时，确定所述社交关系为亲密社交关系；
    当目标交互距离值小于预设距离值时，确定所述社交关系为亲密社交关系；
    当目标交互时长超过预设时长时，确定所述社交关系为亲密社交关系。
  8. 如权利要求1所述的方法，其中，在所述确定所述第一电子设备的第一用户与所述第二电子设备的第二用户之间的社交关系之后，所述方法还包括：
    通过应用程序APP提示所述社交关系。
  9. 一种社交关系分析装置，包括：
    获取模块，配置为获取第一电子设备与第二电子设备之间的目标交互信息；
    确定模块，配置为根据所述获取模块获取的所述目标交互信息，确定所述第一电子设备的第一用户与所述第二电子设备的第二用户之间的社交关系。
  10. 如权利要求9所述的装置，其中，所述获取模块包括：
    获取子模块，配置为获取所述第一电子设备与所述第二电子设备之间的原始交互信息；
    过滤子模块，配置为对所述获取子模块获取的所述原始交互信息进行过滤，得到所述目标交互信息；
    其中，所述原始交互信息包括以下至少一项：
    交互信号强度值、交互距离值以及交互时长。
  11. 如权利要求10所述的装置，其中，所述交互信号强度值为蓝牙信号强度值。
  12. 如权利要求11所述的装置，其中，所述获取子模块包括：
    第一获取单元，配置为根据所述蓝牙信号强度值，获取所述交互距离值。
  13. 如权利要求10所述的装置，其中，所述获取子模块包括：
    第二获取单元，配置为获取所述第一电子设备与所述第二电子设备之间通过蓝牙进行通信的通信时长，并将所述通信时长确定为所述交互时长；或者，
    第三获取单元，配置为获取所述第一电子设备与所述第二电子设备之间的通话时长，并将所述通话时长确定为所述交互时长。
  14. 如权利要求10所述的装置，其中，所述过滤子模块包括：
    过滤单元，配置为对所述获取子模块获取的所述原始交互信息依次进行除杂、除噪和归一化处理，得到所述目标交互信息。
  15. 如权利要求10所述的装置，其中，所述确定模块包括以下子模块的至少一项：
    第一确定子模块，配置为当所述过滤子模块过滤得到的所述目标交互信息中的目标交互信号强度值超过预设强度值时，确定所述社交关系为亲密社交关系；
    第二确定子模块，配置为当所述过滤子模块过滤得到的所述目标交互信息中的目标交互距离值小于预设距离值时，确定所述社交关系为亲密社交关系；
    第三确定子模块，配置为当所述过滤子模块过滤得到的所述目标交互信息中的目标交互时长超过预设时长时，确定所述社交关系为亲密社交关系。
  16. 如权利要求9所述的装置，其中，所述装置还包括：
    提示模块，配置为通过应用程序APP提示所述确定模块确定的所述社交关系。
  17. 一种社交关系分析装置，包括：
    处理器；
    配置为存储处理器可执行指令的存储器；
    其中，所述处理器被配置为：
    获取第一电子设备与第二电子设备之间的目标交互信息；
    根据所述目标交互信息，确定所述第一电子设备的第一用户与所述第二电子设备的第二用户之间的社交关系。
PCT/CN2015/100011 2015-08-24 2015-12-30 社交关系分析方法及装置 WO2017031905A1 (zh)

Priority Applications (4)

Application Number Priority Date Filing Date Title
JP2016547606A JP6386059B2 (ja) 2015-08-24 2015-12-30 社会的関係分析方法および装置
RU2016116358A RU2656694C1 (ru) 2015-08-24 2015-12-30 Способ и устройство для анализа социальных отношений
MX2016004865A MX368815B (es) 2015-08-24 2015-12-30 Método y dispositivo para analizar relación social.
KR1020167019815A KR101849482B1 (ko) 2015-08-24 2015-12-30 사회적 관계 분석 방법 및 장치

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510524653.4 2015-08-24
CN201510524653.4A CN105096144A (zh) 2015-08-24 2015-08-24 社交关系分析方法及装置

Publications (1)

Publication Number Publication Date
WO2017031905A1 true WO2017031905A1 (zh) 2017-03-02

Family

ID=54576507

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2015/100011 WO2017031905A1 (zh) 2015-08-24 2015-12-30 社交关系分析方法及装置

Country Status (8)

Country Link
US (1) US9668117B2 (zh)
EP (1) EP3136335A1 (zh)
JP (1) JP6386059B2 (zh)
KR (1) KR101849482B1 (zh)
CN (1) CN105096144A (zh)
MX (1) MX368815B (zh)
RU (1) RU2656694C1 (zh)
WO (1) WO2017031905A1 (zh)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105096144A (zh) * 2015-08-24 2015-11-25 小米科技有限责任公司 社交关系分析方法及装置
CN105389488B (zh) * 2015-11-26 2019-06-28 腾讯科技（深圳）有限公司 身份认证方法及装置
CN106919549A (zh) * 2015-12-24 2017-07-04 阿里巴巴集团控股有限公司 业务处理方法和装置
CN107786714B (zh) * 2016-08-31 2019-11-05 腾讯科技（深圳）有限公司 基于车载多媒体设备的语音控制方法、装置及系统
US10372234B2 (en) * 2017-05-09 2019-08-06 Lenovo (Singapore) Pte Ltd Calculating a social zone distance
CN108616648A (zh) * 2018-03-15 2018-10-02 维沃移动通信有限公司 一种设备间关系建立方法及移动终端
CN111324741B (zh) * 2018-12-17 2023-08-18 中国移动通信集团山西有限公司 用户关系识别方法、装置、设备及介质
JP6712029B1 (ja) * 2020-02-03 2020-06-17 純平 藤田 記録支援システム及び記録支援方法
CN111369375A (zh) * 2020-03-17 2020-07-03 深圳市随手金服信息科技有限公司 一种社交关系确定方法、装置、设备及存储介质
WO2021204615A1 (en) 2020-04-06 2021-10-14 Koninklijke Philips N.V. System and method for determining and managing socially isolated individuals
KR102419546B1 (ko) 2020-07-27 2022-07-08 전주대학교 산학협력단 사회적 연결망 관리 장치 및 방법
CN113069773B (zh) * 2021-03-31 2024-04-05 南方科技大学 基于密接的游戏好友推荐方法、系统、服务器及存储介质
CN114157984A (zh) * 2021-10-22 2022-03-08 深圳市几米物联有限公司 亲密关系鉴别方法、装置及计算机可读存储介质
US20230401595A1 (en) * 2022-06-14 2023-12-14 Touch Point Worldwide, Inc. Blockchain-based reward system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140306994A1 (en) * 2013-04-12 2014-10-16 Cameron G. Brown Personal holographic billboard
CN104636439A (zh) * 2015-01-04 2015-05-20 中国联合网络通信集团有限公司 一种分析用户社会关系的方法及装置
CN105096144A (zh) * 2015-08-24 2015-11-25 小米科技有限责任公司 社交关系分析方法及装置

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8316315B2 (en) 2005-02-28 2012-11-20 Microsoft Corporation Automatically generated highlight view of electronic interactions
KR100768127B1 (ko) * 2007-04-10 2007-10-17 (주)올라웍스 가독성 데이터로부터 인간 관계를 추론하는 방법과 가독성데이터를 이용하여 디지털 데이터 내의 인물 식별을 통해태그를 부여하는 방법 및 시스템
JP2009009355A (ja) * 2007-06-28 2009-01-15 Hitachi Ltd 組織コミュニケーション可視化システム
US20090197681A1 (en) * 2008-01-31 2009-08-06 Microsoft Corporation System and method for targeted recommendations using social gaming networks
US8140014B2 (en) * 2008-11-24 2012-03-20 Verizon Patent And Licensing Inc. Social interaction tracking
US9519613B2 (en) 2009-02-02 2016-12-13 Asurion, Llc Method for integrating applications in an electronic address book
US9015757B2 (en) * 2009-03-25 2015-04-21 Eloy Technology, Llc Merged program guide
JP5567568B2 (ja) * 2009-07-31 2014-08-06 パイオニア株式会社 端末装置、制御方法及びプログラム
US8478697B2 (en) * 2010-09-15 2013-07-02 Yahoo! Inc. Determining whether to provide an advertisement to a user of a social network
JP5315371B2 (ja) * 2011-03-16 2013-10-16 絵美 玉城 場所共有解析装置および方法ならびに場所共有解析のためのプログラム
CN103415864A (zh) * 2011-04-21 2013-11-27 英派尔科技开发有限公司 使用移动装置的方位社交网络
CN102780514A (zh) 2011-05-10 2012-11-14 宏碁股份有限公司 电子设备、近端网络系统及其连接方法
CN102880608A (zh) * 2011-07-13 2013-01-16 阿里巴巴集团控股有限公司 基于人际距离的排名、搜索方法和装置
US8825584B1 (en) * 2011-08-04 2014-09-02 Smart Information Flow Technologies LLC Systems and methods for determining social regard scores
JP6064376B2 (ja) * 2012-06-06 2017-01-25 ソニー株式会社 情報処理装置、コンピュータプログラムおよび端末装置
CN103886011B (zh) * 2013-12-30 2017-04-12 讯飞智元信息科技有限公司 一种基于索引文件的社会关系网络创建与检索系统及方法
US9672291B2 (en) * 2014-02-19 2017-06-06 Google Inc. Summarizing social interactions between users
US9930079B2 (en) * 2014-07-18 2018-03-27 Facebook, Inc. Device-driven social network

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140306994A1 (en) * 2013-04-12 2014-10-16 Cameron G. Brown Personal holographic billboard
CN104636439A (zh) * 2015-01-04 2015-05-20 中国联合网络通信集团有限公司 一种分析用户社会关系的方法及装置
CN105096144A (zh) * 2015-08-24 2015-11-25 小米科技有限责任公司 社交关系分析方法及装置

Also Published As

Publication number Publication date
KR101849482B1 (ko) 2018-04-16
RU2656694C1 (ru) 2018-06-06
KR20180035104A (ko) 2018-04-05
US9668117B2 (en) 2017-05-30
MX2016004865A (es) 2017-05-04
JP2017535826A (ja) 2017-11-30
MX368815B (es) 2019-10-17
JP6386059B2 (ja) 2018-09-05
EP3136335A1 (en) 2017-03-01
CN105096144A (zh) 2015-11-25
US20170064526A1 (en) 2017-03-02

Similar Documents

Publication Publication Date Title
WO2017031905A1 (zh) 社交关系分析方法及装置
KR101700656B1 (ko) 사용자 정보를 수집하기 위한 방법 및 장치
EP3136698B1 (en) Connection status prompting method and device
WO2016155306A1 (zh) 网络接入方法及装置
WO2016145862A1 (zh) 设备绑定方法及装置
WO2016131303A1 (zh) 一种进行转账处理的方法和装置
WO2017128767A1 (zh) 指纹模板录入方法及装置
WO2017101518A1 (zh) 定位信息提示方法及装置
WO2016155232A1 (zh) 号码标记方法及装置
WO2017045307A1 (zh) 接听扩展功能显示方法及装置
WO2016155231A1 (zh) 网络接入方法及装置
EP3038334A2 (en) Method, device, terminal and server for replying to a call
US10313537B2 (en) Method, apparatus and medium for sharing photo
EP3136697B1 (en) Contact record processing method and apparatus
WO2016082461A1 (zh) 推荐信息获取方法、终端及服务器
WO2016078394A1 (zh) 一种提醒语音通话的方法及装置
US10356160B2 (en) Methods and devices for acquiring user information
WO2016015404A1 (zh) 呼叫转移的方法、装置及终端
CN104020628A (zh) 闪光灯的提醒方法及装置
US20170034347A1 (en) Method and device for state notification and computer-readable storage medium
WO2018058598A1 (zh) 异常信息提示方法及装置
WO2016183990A1 (zh) 定位的方法和装置
CN107315590B (zh) 通知消息处理方法及装置
US10057762B2 (en) Method and device for acquiring information of relay router
CN107357829A (zh) 缩放比例处理方法及装置

Legal Events

Date Code Title Description
WWE Wipo information: entry into national phase

Ref document number: MX/A/2016/004865

Country of ref document: MX

ENP Entry into the national phase

Ref document number: 2016547606

Country of ref document: JP

Kind code of ref document: A

WWE Wipo information: entry into national phase

Ref document number: 1020167019815

Country of ref document: KR

ENP Entry into the national phase

Ref document number: 2016116358

Country of ref document: RU

Kind code of ref document: A

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 15902173

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 15902173

Country of ref document: EP

Kind code of ref document: A1