WO2017054307A1 - Recognition method and apparatus for user information - Google Patents

Abstract

Disclosed are a recognition method and apparatus for user information. The method comprises: receiving behaviour data sent by a smart terminal (201), wherein the behaviour data comprises user online behaviour data and user offline behaviour data which are related to an offline site and are obtained by the smart terminal; acquiring site information about the offline site (202), wherein the site information comprises Wi-Fi base station information about the site and/or location information about the site; matching the behaviour data with the site information to obtain first user information (203), wherein the first user information comprises confidence information; and screening the user information according to a set condition to obtain second user information (204). In the method, by analysing behaviour data sent by a smart terminal, a correlation between an offline site and a network platform is determined according to the behaviour data, and the recognition of user information is realized according to the correlation.

Description

User information identification method and device

Cross-reference to related applications

The present application claims priority to Chinese Patent Application No. 201510640212.0, filed on Sep. 30, 2015, the entire content of

Technical field

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.

Background technique

With the wide application of the network, users are increasingly consuming through the network site, and the network site enables the user to know all the information of the network site without leaving the home.

For a network site, in most cases, the user needs to reach the offline site corresponding to the network site to consume or enjoy the service. In practice, however, it is difficult to determine the correlation between the online behavior of users on a network site or a network platform and the offline behavior of users' offline sites.

Summary of the invention

The present application provides a method and apparatus for identifying user information to solve the technical problems mentioned in the background art.

In one aspect, 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.

In a second aspect, the present application provides an apparatus for identifying user information, where 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.

DRAWINGS

Other features, objects, and advantages of the present application will become more apparent from the detailed description of the accompanying drawings.

1 is an exemplary system architecture diagram to which the present application can be applied;

2a is a flowchart of one embodiment of a method of identifying user information according to the present application;

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;

2c 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;

3 is a schematic structural diagram of an embodiment of an apparatus for identifying user information according to the present application;

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.

detailed description

The present application will be further described in detail below with reference to the accompanying drawings and embodiments. Understand The specific embodiments described herein are merely illustrative of the invention, rather than the invention. It is also to be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings.

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.

As shown in FIG. 1, 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. In an optional case, 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.

It should be noted that the method for identifying the location status of the smart terminal provided by the embodiment of the present application 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.

It should be understood that the number of 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.

Further referring to FIG. 2a, an embodiment of a method for identifying user information is shown 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.

In the present embodiment, 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.

In some optional implementation manners of this embodiment, 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. In some alternative implementations, 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, 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 Wi-Fi base station information currently connected by the smart terminal. As can be seen from the above description, 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.

In order to match the behavior data, it is also necessary to obtain the site information of the offline site. 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.

It can be seen from the above description that the behavior data is specific data detected by a certain intelligent terminal, and 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. In this embodiment, 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.

In some optional implementation manners of the embodiment, 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. . Specifically, 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. In general, 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.

In some optional implementations of this embodiment, 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.

Here, 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.

In some optional implementation manners of the embodiment, 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. Taking a distance interval of 6 meters as an example, 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. The higher the degree, when the value of the confidence is 1, it means that the probability that the intelligent terminal belongs to the area where the Wi-Fi base station is located is 100%. Assuming that the distance between the computing intelligent terminal and the Wi-Fi base station is 20 meters, then the intelligent terminal falls within the distance interval with a confidence level of 0.6, and the confidence level of the intelligent terminal is 0.6 at this time.

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.

In some optional implementation manners of the 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. In the login information of the network platform, the user identity identifier is used as the first user information of the offline site.

In other optional implementation manners of the embodiment, 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. Specifically, 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.

In some optional implementation manners of this embodiment, the following step 20321 can be implemented in the following manner:

First, 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.

Specifically, if 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 above use 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.

Next, the above-described determined Wi-Fi matching information and the suspicious Wi-Fi matching information are encapsulated into Wi-Fi matching information.

With continued reference to FIG. 2c, in step 20322, a confidence level is set for the user based on the Wi-Fi matching information described above.

In some optional implementations of this embodiment, 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.

In some optional implementation manners of the embodiment, based on the same reason as above, 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. 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.

Referring back to FIG. 2a, in step 204, 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.

In some optional implementation manners, in order to further determine the correlation between the offline site and the network platform by using the behavior data of the user, 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.

In some optional implementation manners, in order to further determine the correlation between the offline site and the network platform by using the behavior data of the user, 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. For example, 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.

In this embodiment, 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.

With further reference to FIG. 3, as an implementation of the method shown in the above figures, 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.

As shown in FIG. 3, 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.

In this embodiment, the foregoing behavior data receiving unit 301 includes:

a user online behavior data receiving subunit (not shown) 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.

In this embodiment, the first user information obtaining unit 303 includes:

a location matching information obtaining subunit (not shown) for matching the user location information with the site location information to obtain location matching information; a first confidence setting subunit (not shown) for And setting a confidence level for the user according to the location matching information; the first type of user information determining subunit (not shown) 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.

In this embodiment, 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.

In this embodiment, 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.

In this embodiment, 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.

Referring now to Figure 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.

As shown in FIG. 4, 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. In the 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.

In particular, the processes described above with reference to the flowcharts may be implemented as a computer software program in accordance with an embodiment of the present disclosure. For example, 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. In such an embodiment, the computer program can be downloaded and installed from the network via the communication portion 409, and/or installed from the removable medium 411.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality and operation of possible implementations of systems, methods and computer program products in accordance with various embodiments of the present application. In this regard, each block in the flowchart or block diagram can represent a module, program segment, or code. In part, the above-described modules, program segments, or portions of code include one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, 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. It is also noted that 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. For example, the user information acquisition unit may also be described as "a unit for acquiring user information."

In another aspect, 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.

The above description is only a preferred embodiment of the present application and a description of the principles of the applied technology. It should be understood by those skilled in the art that the scope of the invention referred to in the present application is not limited to the specific combination of the above technical features, and should also be covered by the above technical features without departing from the inventive concept. Or any combination of its equivalent features And other technical solutions formed. For example, the above features are combined with the technical features disclosed in the present application, but are not limited to the technical features having similar functions.

Claims (26)

1. A method for identifying user information, characterized in that the method comprises:

   Receiving 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;

   Obtaining site information of the offline site, where the site information includes site Wi-Fi base station information and/or site location information;

   Matching the behavior data with the site information to obtain first user information, where the first user information includes confidence information;

   The first user information is filtered according to the set condition to obtain second user information of the offline site.
2. The method according to claim 1, wherein the receiving behavior data sent by the smart terminal comprises:

   Receiving user online behavior data sent by the smart terminal, where the user online behavior data includes a user identity identifier and an action time corresponding to the online behavior, where the user identity identifier is used to mark the user's online data;

   Receiving offline behavior data of the user sent by the smart terminal;

   The offline behavior data of the user includes at least one of the following:

   User location information, user Wi-Fi scan 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, and the user Wi-Fi connection information includes a Wi that the smart terminal is currently connected to. -Fi base station information.
3. The method according to claim 2, wherein the matching the behavior data with the site information to obtain the first user information comprises:

   Matching the user location information with the site location information to obtain location matching information;

   Setting a confidence level for the user according to the location matching information;

   Determining first user information of the offline site according to the confidence level.
4. The method according to claim 3, wherein the matching the location information of the user with the location information of the site to obtain location matching information comprises:

   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 the set distance, the user longitude latitude coordinate matches the station longitude latitude coordinate, and the user longitude latitude coordinate and the current time information are encapsulated into position matching information; otherwise, the user longitude latitude coordinate and the user The station longitude latitude coordinates do not match.
5. The method according to claim 4, wherein the setting the confidence level for the user according to the location matching information comprises:

   The set distance is divided into a set number of distance sections, and a confidence level is set for the distance section, and the confidence level of the distance section corresponding to the distance is used as a confidence level of the user.
6. The method according to claim 5, wherein the determining the first user information of the offline site according to the confidence level comprises:

   Viewing user online behavior data corresponding to the 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 identifier is used as The first user information of the offline site.
7. The method according to claim 2, wherein the matching the behavior data with the site information to obtain the first user information comprises:

   Matching 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;

   Setting a confidence level for the user according to the Wi-Fi matching information;

   Determining first user information of the offline site according to the confidence level.
8. The method according to claim 7, wherein the matching 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 comprises:

   Matching the user Wi-Fi scan information and the user Wi-Fi connection information with the site Wi-Fi base station information to determine Wi-Fi matching information and suspicious Wi-Fi matching information;

   The determined Wi-Fi matching information and the suspicious Wi-Fi matching information are encapsulated into Wi-Fi matching information.
9. The method according to claim 8, wherein the setting a confidence level for the user according to the Wi-Fi matching information comprises:

   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.
10. The method according to claim 9, wherein the determining the first user information of the offline site according to the confidence comprises:

    Viewing the user online behavior data corresponding to the 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 identifier is used as the location The first user information of the offline site.
11. The method according to claim 2, wherein the screening the first user information according to the setting condition to obtain the second user information of the offline site comprises:

    And viewing, according to the user information, a length of time that the user logs in to the network platform of the offline site. If the length of time exceeds a set duration, the user information is set as the second user information that actually reaches the offline site.
12. The method according to claim 2, wherein the screening the first user information according to the setting condition to obtain the second user information of the offline site comprises:

    Determining whether the behavior time corresponding to the online behavior of the user information is at a preset time Within the segment, if so, the user information is set to the second user information that actually reaches the offline site.
13. A device for identifying user information, characterized in that the device comprises:

    a behavior data receiving unit, 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 intelligent terminal and related to the offline site;

    a site information obtaining unit, configured to acquire site information of the offline site, where the site information includes site Wi-Fi base station information and/or site location information;

    a first user information acquiring unit, configured to match the behavior data with the site information to obtain first user information, where the first user information includes confidence information;

    The second user information acquiring unit is configured to filter the user information according to the setting condition to obtain second user information of the offline site.
14. The apparatus according to claim 13, wherein the behavior data receiving unit comprises:

    a user online behavior data receiving subunit, configured to receive user online behavior data sent by the smart terminal, where the user online behavior data includes a user identity identifier and an action time corresponding to the online behavior, the user identity identifier Used to mark the user's Internet data;

    The offline activity data receiving subunit is configured to receive offline offline behavior data 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, 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, and the user Wi-Fi connection information includes the smart terminal Currently connected Wi-Fi base station information.
15. The device according to claim 14, wherein the first user information obtaining unit comprises:

    a location matching information obtaining subunit for using the user location information and the site The location information is matched to obtain location matching information;

    a first confidence setting subunit, configured to set a confidence level for the user according to the location matching information;

    The first type of user information determining subunit is configured to determine first user information of the offline site according to the confidence level.
16. The device according to claim 15, wherein the location matching information acquisition subunit comprises:

    a distance calculation module, configured to determine a distance between a user longitude latitude coordinate of the user location information and a site longitude latitude coordinate of the site location information;

    a position matching information obtaining module, configured to determine, when the distance is less than the set distance, that the longitude and latitude coordinates of the user match the longitude and latitude coordinates of the station, and encapsulate the longitude and latitude coordinates of the user into current position information Otherwise, the user longitude latitude coordinates do not match the station longitude latitude coordinates.
17. The apparatus according to claim 16, wherein said first confidence setting subunit comprises:

    a confidence setting module, configured to divide the set distance into a set number of distance intervals, set a confidence level for the distance interval, and use the confidence level of the distance interval corresponding to the distance as the user Confidence.
18. The apparatus according to claim 17, wherein the first type of user information determining subunit comprises:

    a 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 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.
19. The device according to claim 14, wherein the first user information obtaining unit comprises:

    a Wi-Fi matching information obtaining subunit, configured to match the user Wi-Fi scanning information and the user Wi-Fi connection information with the site Wi-Fi base station information to obtain Wi-Fi matching information;

    a second confidence setting subunit, configured to set a confidence level for the user according to the Wi-Fi matching information;

    And a second type of user information determining subunit, configured to determine first user information of the offline site according to the confidence level.
20. The apparatus according to claim 19, wherein the Wi-Fi matching information acquisition subunit comprises:

    a Wi-Fi matching information determining module, configured to match the user Wi-Fi scanning information and the user Wi-Fi connection information with the site Wi-Fi base station information to determine Wi-Fi matching information and suspicious Wi-Fi matching information;

    The Wi-Fi matching information encapsulating module is configured to encapsulate the determined Wi-Fi matching information and the suspicious Wi-Fi matching information into Wi-Fi matching information.
21. The apparatus according to claim 20, wherein said second confidence setting subunit comprises:

    a second confidence setting module, configured to set the Wi-Fi matching information to the confidence level when determining the Wi-Fi matching information to be higher than when the Wi-Fi matching information is the suspicious Wi- The confidence level when Fi matches the information.
22. The apparatus according to claim 21, wherein the second type of user information determining subunit comprises:

    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 in the login information of the network platform of the offline site And the user identity is used as the first user information of the offline site.
23. The apparatus of claim 14 wherein said second user letter The information acquisition unit includes:

    a second user information first obtaining subunit, configured to view, according to the user information, a length of time for the user to log in to the network platform of the offline site, and if the time length exceeds a set duration, set the user information to The second user information that actually reaches the offline site.
24. The device according to claim 14, wherein the second user information obtaining unit comprises:

    a second user information second obtaining sub-unit, configured to determine whether the behavior time corresponding to the online behavior of the user information is within a preset time period, and if yes, setting the user information to actually reach the offline site Second user information.
25. A device that includes:

    Processor; and

    Memory,

    The memory stores computer readable instructions executable by the processor, the processor executing the method of any one of claims 1 to 12 when the computer readable instructions are executed.
26. A non-volatile computer storage medium storing computer readable instructions executable by a processor, the processor executing claim 1 to when the computer readable instructions are executed by a processor The method of any of 12 .

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