WO2017054307A1 - Procédé et appareil de reconnaissance d'informations d'utilisateur - Google Patents

Procédé et appareil de reconnaissance d'informations d'utilisateur Download PDF

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Publication number
WO2017054307A1
WO2017054307A1 PCT/CN2015/096013 CN2015096013W WO2017054307A1 WO 2017054307 A1 WO2017054307 A1 WO 2017054307A1 CN 2015096013 W CN2015096013 W CN 2015096013W WO 2017054307 A1 WO2017054307 A1 WO 2017054307A1
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WO
WIPO (PCT)
Prior art keywords
information
user
site
matching
offline
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PCT/CN2015/096013
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English (en)
Chinese (zh)
Inventor
欧阳显雅
陈炜于
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百度在线网络技术（北京）有限公司
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Publication of WO2017054307A1 publication Critical patent/WO2017054307A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/316—User authentication by observing the pattern of computer usage, e.g. typical user behaviour

Definitions

  • the present application relates to the field of network technologies, and specifically relates to the field of network information identification technologies, and in particular, to a method and an apparatus for identifying user information.
  • the present application provides a method and apparatus for identifying user information to solve the technical problems mentioned in the background art.
  • the present application provides a method for identifying user information, the method comprising: receiving behavior data sent by a smart terminal, where the behavior data is a user acquired by the smart terminal and related to a offline site. Online behavior data and user offline behavior data; acquiring site information of the offline site, the site information including site Wi-Fi base station information and/or site location information; performing the behavior data and the site information Matching to obtain first user information, wherein the first user information includes confidence information; and the first user information is filtered according to the setting condition to obtain second user information of the offline site.
  • the present application provides an apparatus for identifying user information
  • the apparatus includes: a behavior data receiving unit, configured to receive behavior data sent by a smart terminal, where the behavior data is obtained by the smart terminal The user online behavior data and the user offline behavior data related to the offline site; the site information acquisition unit is configured to acquire the site information of the offline site, where the site information includes the site Wi-Fi base station information and/or The first user information acquiring unit is configured to match the behavior data with the site information to obtain first user information, where the first user information includes confidence information; and the second user information acquiring unit And filtering the user information according to the set condition to obtain second user information of the offline site.
  • the method and device for identifying user information provided by the present application analyzes the behavior data sent by the intelligent terminal, establishes behavior data to determine the correlation between the offline site and the network platform, and implements the user information according to the correlation. Identification.
  • FIG. 1 is an exemplary system architecture diagram to which the present application can be applied;
  • FIG. 2a is a flowchart of one embodiment of a method of identifying user information according to the present application
  • FIG. 2b is a flowchart of an implementation manner of matching the behavior data with the site information to obtain first user information in FIG. 2a;
  • step 203 of FIG. 2a is a flowchart of still another implementation manner of step 203 of FIG. 2a, where the behavior data is matched with the site information to obtain first user information;
  • FIG. 3 is a schematic structural diagram of an embodiment of an apparatus for identifying user information according to the present application.
  • FIG. 4 is a schematic structural diagram of a computer system suitable for implementing a terminal device or a server of an embodiment of the present application.
  • FIG. 1 illustrates an exemplary system architecture 100 of an embodiment of an identification method and apparatus for user information to which the present application may be applied.
  • system architecture 100 can include terminal devices 101 and 102, Wi-Fi base station 103, network 104, and server 105.
  • the network 104 is used to provide a medium for communication links between the terminal devices 101 and 102, the Wi-Fi base station 103, and the server 105.
  • Network 104 may include various types of connections, such as wired, wireless communication links, fiber optic cables, and the like.
  • the user can interact with the server 105 via the network 104 using the terminal devices 101 and 102 and the Wi-Fi base station 103 to receive or transmit messages and the like.
  • a Wi-Fi module can be installed on the terminal devices 101 and 102 and the Wi-Fi base station 103.
  • the terminal devices 101 and 102 may be various electronic devices having a display screen and having a Wi-Fi module including, but not limited to, a smartphone, a tablet, a notebook, and the like.
  • the server 105 may be a server that provides various services, such as a server that processes the Wi-Fi data on the terminal devices 101 and 102 and the Wi-Fi base station 103.
  • the server 105 may send a detection command to the terminal devices 101 and 102 and the Wi-Fi base station 103 at intervals to set the time, and view the Wi-Fi data of the terminal devices 101 and 102 and the Wi-Fi base station 103.
  • the method for identifying the location status of the smart terminal may be initiated by the terminal devices 101 and 102, and the Wi-Fi data is sent by the terminal devices 101 and 102 and the Wi-Fi base station 103 to the server 105.
  • the server 105 performs a corresponding operation to determine the positional relationship between the terminal devices 101 and 102 and the Wi-Fi base station 103.
  • terminal devices Wi-Fi base stations, networks, and servers in FIG. 1 is merely illustrative. Depending on the implementation needs, there can be any number of terminal devices, Wi-Fi base stations, networks, and servers.
  • Flowchart 200 the method for identifying the user information includes the following steps:
  • Step 201 Receive behavior data sent by the smart terminal, where the behavior data is user online behavior data and user offline behavior data obtained by the intelligent terminal and related to the offline site.
  • the identification method of the user information runs with the electronic device (for example, the server described in FIG. 1) on which the behavior data sent by the intelligent terminal (for example, the terminal device described in FIG. 1) is received.
  • the smart terminal is used to record the searched behavior data.
  • receiving behavior data sent by the smart terminal includes the following two aspects:
  • the first aspect receiving online behavior data of the user sent by the smart terminal, wherein the online behavior data of the user includes a behavior time corresponding to the user identity identifier and the online behavior, and the user identity identifier can be used to mark the user's online data; Time is the time when the user is engaged in consumer behavior.
  • the online behavior data of the user records the user's online data and is marked by the user identity, which can accurately reflect the online behavior of the user.
  • the online behavior may include, for example, a web page opened by the user, an open time, a dwell time, and the like.
  • the second aspect is: receiving offline offline behavior data sent by the smart terminal, where the offline activity data of the user includes at least one of the following: user location information, user Wi-Fi scanning information, and user Wi-Fi connection information.
  • the user location information includes user latitude and longitude coordinates
  • the user Wi-Fi scan information includes Wi-Fi base station information scanned by the smart terminal
  • the user Wi-Fi connection information includes Wi-Fi base station information currently connected by the smart terminal.
  • the offline activity data of the user is description information about the location of the user space.
  • Step 202 Obtain site information of the offline site, where the site information includes site Wi-Fi base station information and/or site location information.
  • the electronic device of this embodiment can obtain the site information of the offline site by receiving the Wi-Fi base station information of the offline site.
  • the site information of this embodiment is information of all offline sites in a certain area.
  • Step 203 matching the behavior data with the site information to obtain the first use User information, wherein the first user information includes confidence information.
  • the behavior data is specific data detected by a certain intelligent terminal
  • the site information is information of all offline stations in a certain area. Therefore, by matching the behavior data with the site information, the smart terminal can be determined. Location information and get user information with confidence.
  • user information can be obtained in two ways: first, user information is obtained by matching user location information with site information; second, user information is obtained by matching user Wi-Fi scanning information and user Wi-Fi connection information with site information.
  • step 203 may include step 2031: matching user information with the site information to obtain user information with confidence, and the flowchart corresponding to step 2031 is as shown in FIG. 2b. .
  • step 2031 may further include the following steps:
  • Step 20311 Matching the user location information with the site location information to obtain location matching information.
  • the smart terminal and the Wi-Fi base station can be connected within a certain distance. Therefore, the matching of the user location information and the site location information in this embodiment refers to a Wi-Fi signal within a certain range. match.
  • the foregoing step 20311 may include:
  • Determining a distance between a user longitude latitude coordinate of the user location information and a site longitude latitude coordinate of the site location information if the distance is less than a set distance, the user longitude latitude coordinate matches the site longitude latitude coordinate, and the user longitude is The latitude coordinates and the current time information are encapsulated into position matching information. Otherwise, the user longitude latitude coordinates do not match the above-mentioned station longitude latitude coordinates. Among them, the value of the set distance needs to be determined according to the actual situation.
  • Step 20312 Set a confidence level for the user according to the location matching information.
  • the confidence of the user using the smart terminal is set by the distance between the smart terminal and the Wi-Fi base station to characterize the possibility that the user belongs to a certain range.
  • the step 20512 may include: dividing the set distance into a set number of distance intervals, setting a confidence level for the distance interval, and setting the distance interval corresponding to the distance
  • the above confidence level is used as the confidence level of the above user. For example, a distance of 30 meters from the Wi-Fi base station is set as a set distance, and when the distance between the smart terminal and the Wi-Fi base station is less than 30 meters, the user location letter can be considered. The information matches the site location information.
  • the set distance is divided into five distance intervals (for example, a distance interval can be set at intervals of 6 meters, and the distance interval can also be set by other distances), and a confidence level is set for each distance interval.
  • the confidence of the distance interval can be set to 0.5, 0.6, 0.7, 0.9, and 1 from the far-to-near direction of the Wi-Fi base station, wherein the larger the value is, the greater the confidence is.
  • Step 20313 determining first user information of the offline site according to the above confidence level.
  • the user information in this embodiment refers to the user-related information that the user has logged in to the network platform corresponding to the offline site and the user to the offline site, and corresponds to the behavior data described above. Therefore, after setting the confidence level for the user, it is not completely determined that the user information corresponding to the smart terminal is the user information of this embodiment.
  • the step 20313 may include: viewing user online behavior data corresponding to the foregoing confidence level, if the user identity identifier in the online behavior data of the user appears in the offline site.
  • the user identity identifier is used as the first user information of the offline site.
  • step 203 may further include step 2032: matching the user Wi-Fi scan information and the user Wi-Fi connection information with the site information to obtain user information with confidence.
  • step 2032 may further include the following steps:
  • Step 20321 Match the user Wi-Fi scan information and the user Wi-Fi connection information with the site Wi-Fi base station information to obtain Wi-Fi matching information.
  • step 20321 can be implemented in the following manner:
  • the user Wi-Fi scan information and the user Wi-Fi connection information are matched with the site Wi-Fi base station information to obtain Wi-Fi matching information and suspicious Wi-Fi matching information.
  • the user Wi-Fi connection information is the same as the site Wi-Fi base station information, and the strength of the Wi-Fi signal in the user Wi-Fi scan information is smaller than the foregoing The strength of the Wi-Fi signal in the Wi-Fi connection information of the user, the user Wi-Fi connection information and the current time information are encapsulated to determine Wi-Fi matching information; if the user Wi-Fi connection information and the above site Wi-Fi The base station information is the same, and the strength of the Wi-Fi signal in the user Wi-Fi scan information is greater than or equal to the strength of the Wi-Fi signal in the Wi-Fi connection information of the user, and the user Wi-Fi connection information and the current time information are encapsulated.
  • Suspicious Wi-Fi matching information if the user Wi-Fi connection information is different from the site Wi-Fi base station information, and the Wi-Fi signal corresponding to the site Wi-Fi base station information in the user Wi-Fi scan information If the strength is greater than or equal to the strength of the Wi-Fi signal in the Wi-Fi connection information of the user, the user Wi-Fi connection information and the current time information are encapsulated into suspicious Wi-Fi matching information; if the user Wi-Fi connection information is The Wi-Fi base station information of the site is different, and the strength of the Wi-Fi signal corresponding to the site Wi-Fi base station information in the user Wi-Fi scan information is smaller than the strength of the Wi-Fi signal in the user Wi-Fi connection information.
  • the Wi-Fi connection information does not match the information of the site Wi-Fi base station; if the user Wi-Fi connection information is different from the site Wi-Fi base station information, and the user Wi-Fi scan information does not belong to the site Wi-
  • the Wi-Fi signal corresponding to the Fi base station information does not match the user Wi-Fi connection information with the site Wi-Fi base station information.
  • Wi-Fi matching information the above-described determined Wi-Fi matching information and the suspicious Wi-Fi matching information are encapsulated into Wi-Fi matching information.
  • a confidence level is set for the user based on the Wi-Fi matching information described above.
  • the foregoing step 20322 may include:
  • the confidence when the Wi-Fi matching information is the determined Wi-Fi matching information is higher than the confidence when the Wi-Fi matching information is the suspect Wi-Fi matching information.
  • Step 20323 determining first user information of the offline site according to the above confidence level.
  • the step 20323 may include: viewing user online behavior data corresponding to the confidence level, if the user identity identifier in the online behavior data of the user appears.
  • the user identity is used as the first user information of the offline site.
  • the first user information is filtered according to the set condition to obtain second user information, wherein the second user information is user information that actually reaches the offline site.
  • the step 204 may further include: viewing, according to the user information, the network platform of the user logging in to the offline site. The length of time, if the length of time exceeds the set duration, the user information is set to the second user information that actually reaches the offline site.
  • the step 204 may further include: determining whether the behavior time corresponding to the online behavior of the user information is Within a preset time period, if so, the user information is set to the second user information that actually reaches the offline site.
  • the user performs the consumption behavior on the network platform, and then reaches the offline site, if the behavior time corresponding to the consumption behavior and the time when the user reaches the offline site are within a preset time period, or after the user reaches the offline site, And performing consumer behavior on the network platform within a preset time period, indicating that the user's online behavior (online consumption behavior) has relevance to the offline behavior (reaching the offline site), and the user information is set to The second user information that actually reaches the offline site.
  • the behavior data sent by the intelligent terminal is analyzed, and the behavior data is established to determine the correlation between the offline site and the network platform, and the user information is identified according to the correlation.
  • the present application provides an embodiment of an apparatus for identifying user information, the apparatus embodiment corresponding to the method embodiment shown in FIG. 2a, the apparatus It can be specifically applied to various electronic devices.
  • the device 300 for identifying user information of the present embodiment includes a behavior data receiving unit 301, a site information acquiring unit 302, a first user information acquiring unit 303, and a second user information acquiring unit 304.
  • the behavior data receiving unit 301 is configured to receive behavior data sent by the smart terminal, where the behavior data is user online behavior data and user offline behavior data obtained by the smart terminal and related to the offline site;
  • the obtaining unit 302 is configured to acquire site information of the offline site, and the foregoing site letter
  • the information includes site Wi-Fi base station information and/or site location information.
  • the first user information obtaining unit 303 is configured to match the behavior data with the site information to obtain first user information, where the first user information includes a confidence message.
  • the second user information obtaining unit 304 is configured to filter the user information according to the setting condition to obtain the second user information of the offline site.
  • the foregoing behavior data receiving unit 301 includes:
  • a user online behavior data receiving subunit for receiving user online behavior data sent by the smart terminal, wherein the user online behavior data includes a user identity identifier and an action time corresponding to the online behavior
  • the user identity identifier is used to mark the user's online data
  • the offline activity data receiving subunit (not shown) is configured to receive the offline activity data of the user sent by the smart terminal, where the offline behavior data includes at least one of the following: user location information, user Wi-Fi Scanning information and user Wi-Fi connection information, wherein the user location information includes user latitude and longitude coordinates, and the user Wi-Fi scan information includes Wi-Fi base station information scanned by the smart terminal, and the user Wi-Fi connection information includes the smart Wi-Fi base station information currently connected by the terminal.
  • the first user information obtaining unit 303 includes:
  • a location matching information obtaining subunit for matching the user location information with the site location information to obtain location matching information
  • a first confidence setting subunit for And setting a confidence level for the user according to the location matching information
  • the first type of user information determining subunit is configured to determine the first user information of the offline site according to the confidence level.
  • the location matching information acquisition subunit includes: a distance calculation module (not shown) for determining a distance between a user longitude latitude coordinate of the user location information and a site longitude latitude coordinate of the site location information; An information acquiring module (not shown) is configured to determine that the user longitude latitude coordinate matches the longitude and latitude coordinates of the site when the distance is less than the set distance, and encapsulate the user longitude latitude coordinate and the current time information into a position matching Information, otherwise, the above-mentioned user longitude latitude coordinates do not match the above-mentioned station longitude latitude coordinates.
  • the first confidence setting subunit includes: a confidence setting module (not shown) for dividing the set distance into a set number of distance intervals, and setting the distance interval
  • the confidence level is the confidence level of the user in the above-described distance section corresponding to the distance.
  • the first type of user information determining subunit includes: a user information determining module (not shown) for viewing user online behavior data corresponding to the above confidence level, if the user identity identifier in the online behavior data of the user appears In the login information of the network platform of the offline site, the user identity is used as the first user information of the offline site.
  • the first user information acquiring unit 303 may further include: a Wi-Fi matching information acquiring subunit (not shown) for using the user Wi-Fi scanning information and the user Wi-Fi connection information. Matching with the site Wi-Fi base station information to obtain Wi-Fi matching information; a second confidence setting sub-unit (not shown) for setting a confidence level for the user according to the Wi-Fi matching information;
  • the class user information determining subunit (not shown) is configured to determine the first user information of the offline site according to the above confidence level.
  • the Wi-Fi matching information obtaining subunit may include: a Wi-Fi matching information determining module (not shown), configured to connect the user Wi-Fi scanning information and the user Wi-Fi connection information to the site Wi. -Fi base station information is matched to obtain the determined Wi-Fi matching information and the suspicious Wi-Fi matching information; the Wi-Fi matching information encapsulating module (not shown) is configured to determine the Wi-Fi matching information and the suspicious Wi- The Fi match information is encapsulated into Wi-Fi match information.
  • the second confidence setting subunit may include: a second confidence setting module, configured to set the Wi-Fi matching information to the confidence when determining the Wi-Fi matching information to be higher than The Wi-Fi matching information is the confidence level when the suspicious Wi-Fi matching information is used.
  • the second type of user information determining subunit may include: a second type of user information determining module, configured to view user online behavior data corresponding to the confidence level, if the user identity identifier in the online behavior data of the user appears on the line In the login information of the network platform of the next site, the user identity identifier is used as the first user information of the offline site.
  • the second user information acquiring unit 304 may include: a second user information first acquiring subunit (not shown), configured to view, according to the user information, a network platform that the user logs in to the offline site. The length of time, if the length of time exceeds the set duration, the user information is set as the second user letter actually reaching the offline site. interest.
  • the second user information acquiring unit 304 may include: a second user information second obtaining subunit (not shown in the figure), configured to determine whether the behavior time corresponding to the online behavior of the user information is In the preset time period, if yes, the user information is set to the second user information that actually reaches the offline site.
  • FIG. 4 there is shown a block diagram of a computer system 400 suitable for use in implementing a server of an embodiment of the present application.
  • computer system 400 includes a central processing unit (CPU) 401 that can be loaded into a program in random access memory (RAM) 403 according to a program stored in read only memory (ROM) 402 or from storage portion 408. And perform various appropriate actions and processes.
  • RAM random access memory
  • ROM read only memory
  • RAM 403 various programs and data required for the operation of the system 400 are also stored.
  • the CPU 401, the ROM 402, and the RAM 403 are connected to each other through a bus 404.
  • An input/output (I/O) interface 405 is also coupled to bus 404.
  • the following components are connected to the I/O interface 405: an input portion 406 including a keyboard, a mouse, etc.; an output portion 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a storage portion 408 including a hard disk or the like. And a communication portion 409 including a network interface card such as a LAN card, a modem, or the like. The communication section 409 performs communication processing via a network such as the Internet.
  • Driver 410 is also coupled to I/O interface 405 as needed.
  • a removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory or the like is mounted on the drive 410 as needed so that a computer program read therefrom is installed into the storage portion 408 as needed.
  • embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a machine readable medium, the computer program comprising program code for executing the method illustrated in the flowchart.
  • the computer program can be downloaded and installed from the network via the communication portion 409, and/or installed from the removable medium 411.
  • each block in the flowchart or block diagram can represent a module, program segment, or code.
  • the above-described modules, program segments, or portions of code include one or more executable instructions for implementing the specified logical functions.
  • the functions noted in the blocks may also occur in a different order than that illustrated in the drawings. For example, two successively represented blocks may in fact be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending upon the functionality involved.
  • each block of the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts can be implemented in a dedicated hardware-based system that performs the specified function or operation. Or it can be implemented by a combination of dedicated hardware and computer instructions.
  • the units involved in the embodiments of the present application may be implemented by software or by hardware.
  • the described unit may also be disposed in the processor, for example, as a processor including a behavior data receiving unit, a site information acquiring unit, a user information acquiring unit, and a user information acquiring unit actually arriving at the offline site.
  • the names of these units do not in any way constitute a limitation on the unit itself.
  • the user information acquisition unit may also be described as "a unit for acquiring user information.”
  • the present application further provides a non-volatile computer storage medium, which may be a non-volatile computer storage medium included in the foregoing apparatus in the foregoing embodiment; It is a non-volatile computer storage medium that exists alone and is not assembled into the terminal.
  • the non-volatile computer storage medium stores one or more programs, when the one or more programs are executed by a device, causing the device to: receive behavior data sent by the smart terminal, wherein the behavior data is the foregoing intelligence User online behavior data and user offline behavior data obtained by the terminal; obtaining site information of the offline site, the site information including site Wi-Fi base station information and/or site location information; The behavior data is matched with the above site information to obtain user information with confidence; the user information is filtered according to the set conditions to obtain the user information actually reaching the offline site.

Abstract

La présente invention concerne un procédé et un appareil de reconnaissance d'informations d'utilisateur. Le procédé consiste à : recevoir des données de comportement envoyées par un terminal intelligent (201), les données de comportement comprenant des données de comportement en ligne d'utilisateur et des données de comportement hors ligne d'utilisateur relatives à un site hors ligne et obtenues par le terminal intelligent ; acquérir des informations de site relatives au site hors ligne (202), les informations de site comprenant des informations de station de base Wi-Fi concernant le site et/ou des informations de localisation concernant le site ; mettre en correspondance les données de comportement avec les informations de site pour obtenir des premières informations d'utilisateur (203), les premières informations d'utilisateur comprenant des informations de confiance ; et passer au crible les informations d'utilisateur conformément à une condition définie pour obtenir des secondes informations d'utilisateur (204). Selon le procédé, au moyen d'une analyse des données de comportement envoyées par un terminal intelligent, une corrélation entre un site hors ligne et une plate-forme de réseau est déterminée conformément aux données de comportement, et la reconnaissance d'informations d'utilisateur est effectuée conformément à la corrélation.
PCT/CN2015/096013 2015-09-30 2015-11-30 Procédé et appareil de reconnaissance d'informations d'utilisateur WO2017054307A1 (fr)

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CN103945007A (zh) * 2014-05-08 2014-07-23 百度在线网络技术（北京）有限公司 信息推送方法和装置
CN104317790A (zh) * 2014-07-22 2015-01-28 翔傲信息科技(上海)有限公司 一种基于大数据的用户行为的控制方法及系统
CN104750832A (zh) * 2015-04-02 2015-07-01 百度在线网络技术（北京）有限公司 信息投放方法、装置和系统

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CN111078804B (zh) * 2019-12-09 2024-03-15 武汉数文科技有限公司 一种信息关联方法、系统及计算机终端

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