CN111556442B - Information determination method and device - Google Patents

Information determination method and device Download PDF

Info

Publication number
CN111556442B
CN111556442B CN202010325024.XA CN202010325024A CN111556442B CN 111556442 B CN111556442 B CN 111556442B CN 202010325024 A CN202010325024 A CN 202010325024A CN 111556442 B CN111556442 B CN 111556442B
Authority
CN
China
Prior art keywords
wifi
address
terminal
actual
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010325024.XA
Other languages
Chinese (zh)
Other versions
CN111556442A (en
Inventor
蒋贤礼
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Advanced New Technologies Co Ltd
Advantageous New Technologies Co Ltd
Original Assignee
Advanced New Technologies Co Ltd
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 Advanced New Technologies Co Ltd filed Critical Advanced New Technologies Co Ltd
Priority to CN202010325024.XA priority Critical patent/CN111556442B/en
Publication of CN111556442A publication Critical patent/CN111556442A/en
Application granted granted Critical
Publication of CN111556442B publication Critical patent/CN111556442B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • H04W4/029—Location-based management or tracking services
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/35—Services specially adapted for particular environments, situations or purposes for the management of goods or merchandise
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • H04W84/10—Small scale networks; Flat hierarchical networks
    • H04W84/12—WLAN [Wireless Local Area Networks]

Abstract

The embodiment of the application discloses an information determining method and device, wherein a server determines WiFi identifications of WiFi connected with terminals, specific WiFi identifications are determined from the WiFi identifications, then the server can determine actual place names matched with the specific WiFi identifications from actual place names, and the actual places corresponding to the actual place names are determined as actual places related to the terminals. The server can determine the specific WiFi associated with the user terminal from each WiFi connected with the terminal, and determine the actual location associated with the terminal by determining the actual location corresponding to the specific WiFi. Even if the user fills wrong information in the terminal, the server can determine the frequent places of the user according to the WiFi connected with the terminal, so that the service platform distributes services to the user according to the determined actual places.

Description

Information determination method and device
The application is a divisional application of an invention patent application with the original application number of CN201710001343.3, the application date of 2017, 1 month and 3 days and the invention name of 'a method and a device for determining information'.
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for determining information.
Background
With the continuous development of network technology, various convenient services, such as express services, online To Offline (O2O) and the like, come To be developed in succession, which can provide a service mode of Online services To users, and bring great convenience To the daily life of the users.
At present, when a user purchases an offline service on the internet (for example, purchases a commodity on the internet), the user usually needs to log in a designated service platform through an Application (App) installed in a terminal, and then purchase a corresponding service in the service platform.
In general, address information filled in an App by a user includes information such as a user work unit, a user address, and the like, however, in practical applications, the information input in the App by the user may not be real information of the user (such as a work unit in which the user wrongly fills in), and when the service platform performs service delivery to the user, the service delivery is performed according to the information input in the App by the user, so that delivery personnel of the service platform cannot effectively deliver the service purchased by the user to the user, thereby bringing inconvenience to the user.
Disclosure of Invention
The embodiment of the application provides an information determining method, which is used for solving the problem that a service platform in the prior art cannot accurately distribute services to users according to information filled by the users.
The embodiment of the application provides an information determination method, which comprises the following steps:
screening out specific WiFi identifications meeting first preset conditions from WiFi identifications of WiFi connected with the terminal;
determining an actual place name matched with the specific WiFi identification from the actual place names;
and determining the actual place corresponding to the actual place name as the actual place associated with the terminal.
The embodiment of the application provides an information determining device, which is used for solving the problem that a service platform in the prior art cannot accurately distribute service to users according to information filled by the users.
The embodiment of the application provides an information determination device, which comprises:
the identification screening module is used for screening out specific WiFi identifications meeting first preset conditions from WiFi identifications of WiFi connected with the terminal;
the name matching module is used for determining the actual place name matched with the specific WiFi identifier from the actual place names;
and the place determining module is used for determining the actual place corresponding to the actual place name as the actual place associated with the terminal.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects:
in the embodiment of the application, the server may determine the specific WiFi associated with the user terminal from among the WiFi connected to the user terminal, and further determine the actual location corresponding to the specific WiFi, so as to determine the actual location associated with the user terminal. Therefore, even if the user fills wrong information in the terminal, the server can determine the actual place where the user frequently enters according to the WiFi connected with the user terminal, so that the service platform can accurately deliver the service to the user according to the determined actual place, and convenience is brought to the user.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic diagram of an information determination process provided in an embodiment of the present application;
fig. 2 is a schematic diagram of another information determination process provided in an embodiment of the present application;
FIG. 3 is a diagram illustrating an address cluster according to an embodiment of the present disclosure;
FIG. 4 is a diagram illustrating a detailed process of information determination provided by an embodiment of the present application;
fig. 5 is a schematic diagram of an information determination apparatus according to an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making creative efforts shall fall within the protection scope of the present application.
Example one
Fig. 1 is a schematic diagram of an information determination process provided in an embodiment of the present application, which specifically includes the following steps:
s101: and screening out specific WiFi identifications meeting the first preset condition from WiFi identifications of WiFi connected with the terminal.
With the rapid development of Wireless-Fidelity (WiFi) networks and the increasing popularity of smart terminals, users can now use mobile terminals such as smart phones and tablet computers to establish data connection with the internet at the locations where WiFi networks are deployed, so as to obtain required information from the internet. However, in a work place or a home place, which is a place where a user most frequently visits, among WiFi connected to a terminal, the WiFi in these places is connected to the terminal used by the user more frequently.
If the server can identify the working WiFi or the home WiFi of the user (namely the WiFi deployed in the frequently-accessed place) from the WiFi connected with the terminal, the frequently-accessed place (a working unit, a home and the like) of the user can be further determined according to the address of the WiFi, so that even if the address provided by the user to the server is not detailed or accurate, when the server in the service platform provides offline service for the user, the frequently-accessed place of the user can be determined according to the acquired historical data of the WiFi connected with the terminal used by the user, and the offline service or the commodity purchased by the user can be further distributed to the place corresponding to the determined distribution address, so that the user can effectively receive the offline service or the commodity purchased by the user.
Based on this, in the embodiment of the application, when a server in a service platform needs to determine an actual location associated with a certain terminal, a specific WiFi identifier meeting a first preset condition may be determined from WiFi identifiers of WiFi connected by the terminal according to WiFi connection information (including, but not limited to, a WiFi identifier, a terminal identifier of a terminal connected to WiFi corresponding to the WiFi identifier, a connection duration between the terminal and WiFi, and a terminal address where the terminal is connected to WiFi) stored in advance for the terminal to connect to WiFi.
The purpose of the server determining the specific WiFi identification through the first preset condition is that the server needs to screen out the WiFi identifications which are most likely to be WiFi arranged in the actual place associated with the terminal through the set first preset condition, and then the actual place associated with the terminal can be determined through the specific WiFi identification in the subsequent process. The terminal mentioned here may be a mobile terminal device such as a smart phone, a tablet computer, a notebook computer, etc., and the WiFi identifier of each WiFi determined by the server may be a name of the WiFi, such as Dxfin-1, dianzhongdian-1, etc.
In practical application, when a user frequently visits a certain place, the duration of the terminal connecting with the WiFi of the place is higher, and for the place which does not frequently visit the place, the duration of the terminal held by the user connecting with the WiFi of the place is lower. Therefore, in this embodiment of the application, when determining each WiFi connected to the terminal, the server may determine, according to the pre-stored connection information between the terminal and each WiFi, each WiFi connected to the terminal for not less than a first preset time period, for example, a WiFi connected to the terminal for not less than 45 days, where the reference to the WiFi connected to the terminal for not less than 45 days is a WiFi having a connection record of 45 days with the terminal, and the terminal counts in the connection record of one day no matter how many times the terminal is connected to the WiFi in one day.
The server can filter some WiFi with the lower terminal connection duration through the first preset duration, so that each WiFi determined by the server and connected with the terminal is the WiFi corresponding to the frequently-accessed places of the user to a great extent, and conditions are created for determining the frequently-accessed places of the user based on the WiFi identification of each WiFi connected with the terminal.
In this embodiment of the application, when determining each WiFi connected to a terminal, a server may determine, according to connection information of the terminal and each WiFi that is saved in advance, each WiFi that is connected to the terminal for not less than a first preset time period within a first preset time period, and further determine WiFi identifiers of the WiFi, which aims to ensure that, for places where a user frequently enters and exits, time for the user to enter and exit the places is generally fixed, for example, for a work unit of the user, time of the user in the work unit is generally 10: 00: 12: 00: 18. Therefore, the server can filter the WiFi identifications of the WiFi connected by the user in the regular time period of the frequent actual place from the WiFi identifications through the first preset time period.
For example, assuming that the time of a working unit of a user is 10 to 12 am, and 14 to 00 pm.
In practical applications, although there may be many places that users frequently go in and out, there are usually only a few places that users frequently go in and out, for example, a place that users frequently go in and out may have a user residence, a work unit, a supermarket, a frequently-visited restaurant, etc., but in these frequently-going places, the user residence and the work unit are places that users frequently go in and out; for another example, suppose that a work unit of a user has 4 office buildings, the user frequently shuttles among the 4 office buildings because of work needs, but the user mostly stays in the office building to which the work station belongs.
Based on this, for the determined WiFi identifications of each WiFi, the WiFi identifications all correspond to the WiFi of the place where the user frequently accesses, and the WiFi identifications also include the WiFi identification of the WiFi set in the place where the user frequently accesses. Because the embodiment of the application intends to determine the most frequently-accessed place of the user according to each WiFi connected with the terminal, the server can determine the specific WiFi identification from the WiFi identifications after determining the WiFi identifications of each WiFi connected with the terminal, wherein the specific WiFi identification mentioned here is the WiFi identification of the specific WiFi identification having a stable connection relation with the terminal, namely, the specific WiFi identification is the WiFi identification of the WiFi arranged in the most frequently-accessed place of the user.
Specifically, after determining the WiFi identifiers of the WiFi connected to the terminal, the server may determine, for each WiFi identifier, a connection duration between the WiFi corresponding to the WiFi identifier and the terminal according to connection information of the terminal and each WiFi stored in advance, and then, the server may sort the determined WiFi identifiers according to the connection durations between the WiFi and the terminal, and determine the WiFi identifier sorted at the set position as a specific WiFi identifier of a specific WiFi having a stable connection relationship with the terminal. The connection duration of each WiFi and the terminal mentioned herein can be determined in different time units, for example, the server can determine the number of connection days of each WiFi and the terminal by taking the number of days as a unit, where the number of connection days does not refer to the number of days in which the total duration of the terminal connecting the WiFi is converted into the total duration of the terminal connecting the WiFi, but refers to the number of days in which the terminal and the WiFi have connection records; for another example, the server may determine the duration of connection between each WiFi and the terminal in hours.
For example, assume that the server determines the WiFi identities of each WiFi to which the terminal held by the user is connected as shown in the table below.
WiFi identification The WiFi identification corresponds to the connection days of the WiFi and the terminal
WiFi：JSDKK09 23
WiFi：BGBS17 27
WiFi：ROKC14 55
WiFi：ForVork 64
WiFi：dajiangMT 31
TABLE 1
Table 1 shows WiFi identifiers of WiFi connected to the terminal, which are determined by the server, where the WiFi identifiers correspond to WiFi that are connected to the terminal for not less than a first preset time period. As can be seen from table 1, in the WiFi identifiers, the WiFi corresponding to some WiFi identifiers have a relatively longer number of connection days (i.e., connection duration) with the terminal than other WiFi identifiers, and the WiFi having a relatively longer number of connection days with the user terminal will probably be the WiFi set by the user most frequently visiting the place. Therefore, after the server determines the WiFi identifiers of the WiFi devices connected to the terminal, the server can sort the WiFi identifiers according to the number of days of connecting the WiFi devices to the terminal, and the WiFi identifier located at the first position (i.e. the set position) in the sorting result: wiFi: forVork, which determines a specific WiFi identifier of a specific WiFi having a stable connection relationship with the terminal, i.e., the WiFi identifier of the WiFi set by the user most frequently going in and out of the site.
It should be noted that, in this embodiment of the application, when determining each WiFi connected to a terminal, the server needs to determine according to a record of WiFi connected to the terminal that is stored in advance, so before that, the server needs to record each WiFi connected to the terminal, and a specific recording manner may be: when a server monitors that a terminal accesses a network or logs in the service platform through WiFi arranged in a certain place, a connection record generated after the terminal is connected with the WiFi can be obtained from the terminal, wherein the connection record comprises the identification of the WiFi, the terminal identification of the terminal connected with the WiFi corresponding to the identification of the WiFi and the geographical position (such as the longitude and latitude of the terminal) of the terminal when the terminal is connected with the WiFi, and then the server can record the time and duration of the terminal connected with the WiFi to obtain the time information of the terminal connected with the WiFi, and further correspondingly store the connection record and the time information of the terminal connected with the WiFi, so that corresponding WiFi connection information is obtained. Here, the terminal identifier may be information that can uniquely identify the terminal, such as a terminal device number, a Media Access Control (MAC) address of the terminal, and the like.
Of course, in addition to the above-described recording method, in the embodiment of the present application, the server may also record each WiFi connected to the terminal through the App installed in the terminal. Specifically, in practical application, for some commonly used apps, the apps are usually operated in the terminal by default, so that when the terminal accesses a network or logs in the service platform at a location where WiFi is located, the apps can upload the terminal identifier of the terminal, a connection record generated by connection between the terminal and the WiFi, and time information of the terminal connecting to the WiFi to the server, so that the server records the information correspondingly after receiving the information, so as to obtain corresponding WiFi connection information.
For each App in a dormant state in a terminal, developers of the apps can set an interface specially used for acquiring a connection record (namely, the connection record generated when the terminal is connected with WiFi) through a Software Development Kit (SDK), the interface is provided with a monitor, when the monitor monitors that the terminal is accessed to a network through WiFi, the interface can be started, so that the App can acquire a terminal identifier of the terminal, the connection record generated when the terminal is connected with WiFi and time information when the terminal is connected with WiFi through the interface, and upload the information to a server, so that the server can record the information correspondingly after receiving the information, and obtain corresponding WiFi connection information.
S102: determining an actual place name matching the specific WiFi identification from the actual place names.
In other words, in step S101, the specific WiFi identifier (i.e. the name of the specific WiFi) determined by the server is associated with the name of the actual location frequented by the user. Therefore, in this embodiment of the application, the server may perform similarity matching between the determined specific WiFi identifier and each actual location name included in the server, so as to determine the actual location name matching with the specific WiFi identifier.
Specifically, for each actual place name, the server may determine, according to a preset keyword rule, each actual place keyword corresponding to the name. The purpose of determining each actual place keyword by the server is that, in actual application, the naming modes of WiFi set in an actual place generally include the following: 1. setting the name of the actual place as the name of the WiFi; 2. splicing the Chinese full spelling initials of the actual place to obtain the name of the WiFi; 3. determining the English name of the actual place as the name of the WiFi; 4. removing the industrial words such as network, trade, science and technology, university and the like from the Chinese full spelling in the actual place to obtain the Chinese short-written full spelling, and further determining the Chinese short-written full spelling as the name of the WiFi; 5. and splicing the initial letters of the Chinese shorthand full spelling, and determining the initial letters as the names of the WiFi.
Because the naming modes of the WiFi are diverse, in order to effectively associate the name of the actual place with the specific WiFi identifier, in this embodiment of the application, the server may determine, according to the name of the actual place, each actual place keyword corresponding to the name, and determine, by determining the actual place keyword matched with the specific WiFi identifier, the actual place name matched with the specific WiFi identifier.
The server can determine a plurality of actual place keywords corresponding to each actual place name, so that the server can effectively associate the determined specific WiFi identification with the actual place keywords in the subsequent process, and the situation that the specific WiFi identification cannot be effectively associated with the actual place names due to different names cannot occur.
The server can judge the similarity of the specific WiFi identification and each actual place keyword corresponding to the actual place name in the process of determining the actual place name matched with the specific WiFi identification, and when the similarity between at least one actual place keyword and the specific WiFi identification is larger than a preset fourth threshold value, the actual place name can be determined to be matched with the specific WiFi identification.
The server determines the similarity between the specific WiFi identifier and each actual place keyword through the following method: the server can respectively convert the specific WiFi identification and each actual place keyword into binary characters, and similarity between the specific WiFi identification and each actual place keyword is determined by calculating Euclidean distance between the binary characters; the server can also convert the specific WiFi identification and each actual place keyword into each vector through a preset reverse text probability, and then determine the similarity between the specific WiFi identification and each actual place keyword in a mode of calculating the similarity between the vectors.
Of course, besides the above modes, the server may also determine the similarity between the specific WiFi identifier and each actual place keyword through other modes, which is not described in detail herein.
S103: and determining the actual place corresponding to the actual place name as the actual place associated with the terminal.
After determining the actual place name matched with the specific WiFi identification, the server can determine the actual place corresponding to the actual place name as the actual place corresponding to the specific WiFi identification, and further determine the actual place associated with the user terminal.
In this embodiment of the present application, after the server determines the actual location associated with the user terminal, the name of the actual location may be associated with the user to which the terminal belongs, in other words, the server may determine the name of the actual location that the user frequently accesses, and the specific determination manner may be: the server can associate the name of the actual place with a user account which is logged in by the user on the terminal, so that the user information corresponding to the user account is associated with the name of the actual place.
Of course, after the server determines the actual location associated with the user terminal, when finding that the address of the actual location does not match the address information stored in the service platform by the user, the server may replace the address filled in the service platform by the address of the actual location, or may send an address modification prompt to the user, so that the user may modify the address filled in by the user after viewing the prompt.
Example two
Since in practical applications, the actual place keywords of each actual place may be the same, for example, for two actual places, the names of the two actual places are different from each other, but the abbreviations of the two actual place names are the same, and the abbreviation of the actual place name mentioned here is the actual place keyword.
Based on this, when determining the process matching the specific WiFi identifier from the actual location names, the server may determine that a plurality of actual location names match the specific WiFi identifier. For such a situation, in the embodiment of the present application, the address dimension may be added to the determination process of the actual location, and then the actual location name uniquely matching the specific WiFi identifier is determined from the actual location names in a manner of increasing the dimension, so as to determine the actual location actually associated with the user terminal. This mode will be described in detail below.
Fig. 2 is a schematic diagram of another information determination process provided in an embodiment of the present application.
S201: and screening out specific WiFi identifications meeting first preset conditions from the WiFi identifications of the wireless fidelity WiFi connected with the terminal.
When a server in a service platform needs to determine an actual place associated with a certain terminal, a specific WiFi identification meeting a first preset condition can be determined from WiFi identifications of WiFi connected with the terminal according to prestored WiFi connection information of WiFi connected with the terminal. The specific determination method is the same as that in step S101, and is not described in detail here.
S202: and generating WiFi characteristic information corresponding to the specific WiFi identification, wherein the WiFi characteristic information is determined according to the specific WiFi identification and a WiFi address corresponding to the specific WiFi identification.
In the embodiment of the application, after the specific WiFi identifier of the specific WiFi having a stable connection relationship with the terminal is determined, the server needs to determine the actual location name matching the specific WiFi identifier from the actual location names, and if the server determines that a plurality of actual location names match the specific WiFi identifier, it needs to further determine the actual location address corresponding to the WiFi address corresponding to the specific WiFi identifier from the actual location addresses respectively corresponding to the actual location names (i.e., the actual location names matching the specific WiFi identifier determined by the server) according to the address corresponding to the specific WiFi identifier (i.e., the address where the specific WiFi identifier is located), and further screen the actual location name really matching the specific WiFi identifier from the actual location names. Therefore, after the specific WiFi identifier of the specific WiFi having a stable connection relationship with the terminal is determined, the server may determine the WiFi address corresponding to the specific WiFi identifier from the preset corresponding relationship between each determined WiFi and each WiFi address, and determine the WiFi feature information corresponding to the specific WiFi identifier according to the determined WiFi address and the specific WiFi identifier.
Specifically, when the server generates the WiFi feature information corresponding to the specific WiFi identifier, the server may generate a WiFi vector corresponding to the specific WiFi identifier according to the specific WiFi identifier and the determined WiFi address of the specific WiFi.
The WiFi vector includes the specific WiFi identifier and a WiFi address corresponding to the specific WiFi, such as (dicex 44, 42 ° 26'38 "N, 26 ° 21' 42" S), where dicex44 in the WiFi vector is the WiFi identifier of the specific WiFi, and 42 ° 26'38 "N, 26 ° 21' 42" S are WiFi addresses corresponding to the specific WiFi represented in latitude and longitude. Of course, the WiFi feature information may also have other expressions, such as representing the specific WiFi identifier and WiFi address in a table. In the embodiment of the present application, when the specific WiFi identifier corresponds to a plurality of WiFi addresses, the WiFi feature information may also include a plurality of WiFi addresses.
In this embodiment of the application, the server needs to determine WiFi addresses corresponding to the WiFi addresses according to the acquired WiFi connection information uploaded by each terminal, where the server may acquire the WiFi connection information corresponding to the specific WiFi in real time when determining the WiFi address corresponding to the specific WiFi identifier, so as to obtain the WiFi address corresponding to the specific WiFi by analyzing the WiFi connection information of the specific WiFi.
In addition, the server may also collect WiFi connection information uploaded by each terminal in advance, and determine and store each WiFi address corresponding to each WiFi identifier according to the collected WiFi connection information, so that the server may directly search for a WiFi address corresponding to the specific WiFi identifier from among WiFi addresses corresponding to WiFi identifiers stored in advance when determining a WiFi address corresponding to the specific WiFi identifier in the subsequent process.
Based on this, in the embodiment of the application, if the server needs to determine the WiFi addresses corresponding to the WiFi identifiers in advance, a large amount of WiFi connection information of the user terminals may be collected in advance, and according to each WiFi identifier and the terminal address included in each WiFi connection information, each terminal address corresponding to the WiFi identifier is determined for each WiFi identifier, that is, which terminals are connected to the WiFi corresponding to the WiFi identifier is determined. Then, the server can cluster the terminal addresses according to a preset clustering rule aiming at each terminal address corresponding to each WiFi identifier to obtain an address cluster, and determines the WiFi address of the WiFi identifier by determining the cluster address (namely the cluster address of the address cluster).
As can be seen from the above description, in the embodiment of the present application, determining a WiFi address corresponding to each WiFi identifier may be roughly divided into three steps: step one, collecting WiFi connection information; secondly, determining each terminal address corresponding to each WiFi mark; and thirdly, clustering the terminal addresses corresponding to the WiFi identifications in a clustering mode to obtain address clusters, and determining the WiFi addresses of the WiFi in a cluster address determining mode. Since more content is included in each step, the detailed description will be gradually made below for the convenience of understanding.
First, collecting WiFi connection information.
The server may collect WiFi connection information of each terminal in advance, and a specific collection manner is substantially the same as the WiFi connection information of the terminal recorded in step S101, which is not described in detail herein. In practical applications, the location where the user frequently visits may be changed, for example, the user changes a work unit, and if the user changes the location where the user frequently visits, the WiFi that the user terminal is frequently connected to will also change, and these changes are usually reflected in the WiFi connection information of the user terminal in the near term.
Based on this, in the embodiment of the application, in order to accurately determine the locations where the users frequently enter and exit through the WiFi connected by the terminal, the server may set a second preset time period to collect the recent WiFi connection information of each terminal through the second preset time period, for example, collect the WiFi connection information of each terminal within 90 days (i.e., within the second preset time period), where the second preset time period may be set according to actual requirements, or may be set according to personal information of the users, for example, the server may roughly determine an average frequency of the address information or the work information changed by the users according to the personal information filled in the App by each user, and then set an appropriate second preset time period according to the determined average frequency, for example, it is assumed that a certain user records the change work information as shown in table 2.
User c The year 2016, 1 month, 22 days, changing job information Comprises the following steps: JSDKK Corp In the year 2016, the year 3, the month 12, changing job information Comprises the following steps: company ROKC The number of the year 2016, 5 months and 12 days, changing job information Comprises the following steps: forvork Co The year 2016 (8 months) and the day 26, changing job information Comprises the following steps: BGBS Co 2016, 12 months and 12 days, respectively The work information is changed to: MT (multiple terminal) Company(s)
TABLE 2
As can be seen from table 2, the user c has changed 5 jobs in total between 2016 and 1 and 22 days and 2016 and 12 days, and the time interval of each replacement job is: 50 days, 61 days, 106 days and 108 days, so that the server can determine that the average frequency of the replacement work of the user c is 81 days according to the time intervals, and therefore, the server can use the 81 days as the second preset time period for the user c.
It should be noted that, in this embodiment of the application, when the server determines that the average frequency of changing the address information or the work information by the user is greater than a second preset time period default to the server, the WiFi connection information of the terminal held by the user may be acquired by using the second preset time period, and when the server determines that the average frequency of changing the address information or the work information by the user is less than the second preset time period default to the server, the second preset time period for the user may be determined according to the determined average frequency, and the WiFi connection information of the terminal held by the user is acquired by using the second preset time period.
In the embodiment of the application, the server may also collect all WiFi connection information of each terminal, and then screen out each WiFi connection information in the second preset time from each collected WiFi connection information, so as to determine each terminal address corresponding to each WiFi identifier in a subsequent process through each screened WiFi connection information.
And secondly, determining the addresses of the terminals corresponding to the WiFi identifications.
After the server collects the WiFi connection information of each terminal, the server can filter out WiFi identifiers meeting a second preset condition according to each WiFi identifier and a terminal address contained in each WiFi connection information, and here, each WiFi identifier needs to be filtered.
For example, a user usually sets WiFi to be in an on state, so when the user is in a location where unencrypted WiFi is provided, the terminal will automatically connect to the WiFi, and WiFi connection information that the terminal connects to the WiFi is generated.
For another example, for places where some users frequently visit, wiFi installed in these places are usually connected by terminals of multiple users, and for places where some users do not frequently visit, the number of terminals installed in the WiFi is relatively small, and since the embodiment of the present application intends to determine the places where the users frequently visit through each WiFi connected by the terminal, for the WiFi with less number of connected terminals, the server also needs to eliminate these WiFi, so as to ensure that the server can determine the places where the users frequently visit through each filtered WiFi identifier.
Based on this, in the embodiment of the application, the server may filter each WiFi identifier according to each WiFi identifier and the terminal address included in each WiFi connection information, so as to obtain a WiFi identifier that can help the server to determine the location where the user frequently enters or exits.
Specifically, the server may determine, for each terminal identifier, each WiFi having a stable connection relationship with the terminal corresponding to the terminal identifier according to each terminal identifier included in each WiFi connection information, that is, each WiFi having a second preset duration is not less than connected to the terminal corresponding to the terminal identifier. For example, the server may determine WiFi connected to the terminal corresponding to the terminal identifier for not less than 45 days, where the second preset time duration may be set according to an actual service requirement.
After the server determines that the WiFi is not less than the second preset duration and is connected with the terminal, the server can determine the terminals connected with the WiFi respectively according to the previously acquired WiFi connection information, specifically, for each WiFi, the server can determine the WiFi connection information corresponding to the WiFi according to the previously acquired WiFi connection information, namely, the WiFi connection information comprises the record of connection between the WiFi and each terminal. Then, in the determined WiFi connection information, the server may sequentially determine each terminal identifier corresponding to the WiFi, and then determine the number of terminals corresponding to the WiFi through the determined terminal identifiers, that is, determine how many terminals have a connection relationship with the WiFi.
After the server determines that the number of the terminals respectively corresponding to the WiFi which is not less than the second preset time length and connected with the terminals is not less than the second preset time length, the WiFi identification of the WiFi with the number of the terminals not less than the second threshold value can be determined to be the WiFi identification meeting the second preset condition according to the preset second threshold value, wherein the second threshold value can be set by a worker of the service platform according to the actual requirement, and the WiFi identification which does not determine the places where the user frequently comes in and goes out can be effectively filtered out as long as the server can be ensured to pass through the second threshold value.
In practical application, when the terminal accesses the network through WiFi, the server usually records the geographical location where the terminal is connected to WiFi in the WiFi connection information of the terminal, and based on this, in this embodiment of the application, after the server filters out each WiFi identifier through the above manner, each terminal address corresponding to the WiFi identifier can be determined according to the collected WiFi connection information and for each WiFi identifier. The specific determination process may be: after filtering out each WiFi identification, the server determines WiFi connection information related to the WiFi identification for each WiFi identification, and then the server can determine a terminal identification corresponding to the WiFi identification from the determined WiFi connection information, namely, the terminal with a connection relation with the WiFi corresponding to the WiFi identification is determined. The server can further determine a terminal address corresponding to each terminal identifier from each determined WiFi connection information according to the determined terminal identifier, and further determine a WiFi address corresponding to the WiFi through each determined terminal address in the subsequent process.
And thirdly, clustering the terminal addresses corresponding to the WiFi identifications in a clustering mode to obtain address clusters, and determining the WiFi addresses of the WiFi in a cluster address determining mode.
Since the server needs to determine the unique WiFi address of the WiFi identifier, after determining the plurality of terminal addresses corresponding to the WiFi identifier, the server needs to cluster the terminal addresses according to a predetermined clustering rule to determine the unique WiFi address corresponding to the WiFi identifier. In the process, the server may cluster the determined terminal addresses according to a preset clustering rule to obtain an address cluster, where the address cluster includes a plurality of terminal addresses, and the server clusters the terminal addresses in a region according to the preset clustering rule to obtain the address cluster, as shown in fig. 3.
Fig. 3 is a schematic diagram of an address cluster according to an embodiment of the present application.
In practical applications, a WiFi may be connected to a plurality of terminals, for example, a WiFi of a work unit may be connected to employees of the work unit. Since the employees are distributed in different locations of the office building, the geographical locations where the employees are connected to the WiFi will also be different. However, since coverage of WiFi is limited, users (i.e. user terminals) connected to the WiFi are usually gathered in an area, and therefore, the addresses where the users are connected to the WiFi can reflect the WiFi address of the WiFi.
Therefore, in the embodiment of the present application, after determining each terminal address corresponding to the WiFi identifier, the server may cluster the terminal addresses to obtain the address cluster shown in fig. 3, and then determine the WiFi address corresponding to the WiFi identifier by determining the cluster address of the address cluster in the subsequent process.
It should be noted that, for some larger actual locations, the actual locations may include multiple buildings, for example, a company may have multiple office buildings, and in order to facilitate management of WiFi set in the actual locations, generally, names of the WiFi set in the buildings are often the same, so for a WiFi identifier (such as a WiFi name), there may be multiple terminal addresses corresponding to the WiFi identifier determined by the server, and the terminal addresses may be divided into different areas, and correspondingly, the server may have multiple address clusters obtained by clustering the terminal addresses through a preset clustering rule, that is, as shown in fig. 3, address clusters corresponding to different office buildings of one WiFi, and the address clusters can effectively reflect an actual geographic coverage of the WiFi, thereby laying a foundation for a subsequent server to determine an actual location corresponding to a specific WiFi identifier.
In practical application, a practical location may have WiFi at multiple locations, and the number of connection terminals corresponding to WiFi at different locations is usually different, for example, in an area of a company, there are more users connected to WiFi (i.e., there are more terminals connected to WiFi) set in an office building of the company, and there are relatively fewer WiFi set in a courtyard of the company, and for locations such as a courtyard of a similar company, the locations do not belong to practical locations where users frequently come in and go out, so for address clusters corresponding to the locations (i.e., do not belong to practical locations that frequently come in and go out), when determining WiFi addresses corresponding to WiFi identifiers, the server needs to filter the address clusters, so as to obtain address clusters capable of accurately representing the geographic locations corresponding to the WiFi identifiers.
Specifically, in the embodiment of the present application, for each determined WiFi identifier, the server may perform clustering on each terminal address corresponding to the WiFi identifier according to a preset clustering rule to obtain each address cluster, where some address clusters can represent a geographical position actually corresponding to the WiFi identifier, and some address clusters cannot effectively represent a geographical position actually corresponding to the WiFi identifier, so that after the server determines each address cluster, the number of terminals included in the address cluster may be determined for each obtained address cluster, where each WiFi connection information determined by the server includes each terminal identifier and a position where each terminal is connected to the WiFi, and therefore the server may determine each terminal identifier corresponding to each terminal address included in the address cluster based on a corresponding relationship between the terminal identifier and the terminal address, and further determine the number of terminals included in the address cluster.
The server determines the number of terminals included in each address cluster, and then further determines the address clusters with the number of terminals not less than a third threshold, which aims to ensure that although the initially determined area corresponding to each address cluster also belongs to the actual place where the user frequently accesses, if there are fewer users connected with WiFi in the area, the area does not have the characteristic of representing the place where the user frequently accesses, so the server needs to filter out the address clusters with fewer connected terminals to reserve each address cluster capable of representing the place where the user frequently accesses.
After determining each address cluster with the number of terminals not less than the third threshold, the server may sort the address clusters according to the number of terminals respectively included in the address clusters, and determine the standard address cluster sorted at the preset position as the address cluster corresponding to the WiFi identifier.
Since there are many address clusters corresponding to an actual location, if all the cluster addresses corresponding to address clusters whose number of terminals is determined by the subsequent server to be not less than the third threshold are used to generate WiFi feature information corresponding to the specific WiFi identifier, the server consumes a large amount of operating resources when determining the actual location feature information matching the WiFi feature information, and the address clusters capable of effectively representing the actual location are usually address clusters with a large number of users gathering people, that is, address clusters with a large number of terminals are included.
After determining each address cluster, the server may determine, for each address cluster, a cluster address corresponding to the address cluster according to each terminal address included in the address cluster and a preset address determination rule, where the specific determination process may be: and determining the actual point location of each terminal address in the address cluster, constructing a circular area which can wrap each actual point location and has the smallest radius, and determining the address corresponding to the central position of the circular area as the cluster address of the address cluster by the server.
Certainly, the manner of determining the cluster address by the server is not unique, and other manners may also be used for determining the cluster address, for example, a rectangular coordinate system is constructed, each actual point location corresponding to each terminal address in the address cluster is located in an interval of the rectangular coordinate system, then, the server may determine the position vector of each actual point location and the origin of the rectangular coordinate system, and determine a central point located in the middle of the four actual point locations according to the determined position vectors, where the distances from the central point to each actual point location are equal, and the server may determine the address corresponding to the central point as the cluster address corresponding to the address cluster. In addition, the server may also determine the cluster address corresponding to the address cluster in other manners, which is not described herein.
The server determines the cluster address of each address cluster in advance, that is, the server determines each WiFi address corresponding to each WiFi identifier, so when determining the WiFi address corresponding to the specific WiFi identifier, the server may select each WiFi address corresponding to the WiFi identifier that matches the specific WiFi identifier from the predetermined WiFi addresses, and further generate WiFi feature information corresponding to the specific WiFi identifier through the specific WiFi identifier and each determined WiFi address corresponding to the specific WiFi identifier.
The specific way for the server to generate the WiFi feature information may be: after determining each WiFi address corresponding to the specific WiFi identifier, the server may generate a WiFi vector corresponding to the specific WiFi identifier through the specific WiFi identifier and each WiFi address, for example, assuming that the specific WiFi identifier determined by the server is: and a dio 44, wherein each WiFi address corresponding to the specific WiFi identifier is: (44 ° 25'33 "N, 23 ° 43' 66" S), (45 ° 24'31 "N, 22 ° 40' 62" S), the WiFi vector corresponding to the specific WiFi identifier determined by the server is: (dieo 44, 44 ° 25'33 "N, 23 ° 43' 66" S, 45 ° 24'31 "N, 22 ° 40' 62" S).
Of course, the server may also determine the WiFi feature information corresponding to the specific WiFi identifier in other manners, for example, the determined specific WiFi identifier and each WiFi address are converted into binary numbers, and then the obtained binary numbers are combined according to a sequence, so as to obtain the WiFi feature information corresponding to the specific WiFi identifier.
S203: and determining actual place characteristic information matched with the WiFi characteristic information from the actual place characteristic information, wherein the actual place characteristic information is determined according to the actual place identification and the actual place address.
After determining the WiFi feature information corresponding to the specific WiFi identifier, the server may determine actual location feature information matching the WiFi feature information from each predetermined actual location feature information, where the actual location feature information mentioned here is information representing an actual location name and an actual location geographic location. When determining the actual location feature information, the server may generate the actual location feature information based on address information of each actual location and a name of each actual location, which are stored in advance.
Specifically, when there is a situation that a plurality of actual location names match the specific WiFi identifier, the server needs to determine, from the actual location addresses respectively corresponding to the actual location names, the actual location address matching the WiFi address through the WiFi address corresponding to the specific WiFi identifier, and then determine the actual location name actually matching the specific WiFi identifier. Therefore, in this embodiment of the present application, for each actual place name, the server may determine, according to the actual place name and the actual place address corresponding to the actual place name, the actual place feature information corresponding to the actual place name, and the specific determination manner may be: for each piece of actual location feature information, the server may determine, from the actual location name of the actual location that is stored in advance, each actual location keyword corresponding to the actual location name, and then generate the actual location feature information corresponding to the actual location according to each determined actual location keyword and the address corresponding to the actual location (that is, the address corresponding to the actual location name). The purpose of the server to determine each actual place keyword is the same as the purpose described in step S102, and will not be described in detail here.
Because the actual place feature information contains a plurality of actual place keywords, namely, a plurality of types of WiFi names of WiFi corresponding to the actual places, the server can effectively associate the determined WiFi feature information corresponding to the specific WiFi with the actual place feature information corresponding to the actual places in the subsequent process, and the situation that the WiFi feature information cannot be effectively associated with the actual place feature information due to different names does not occur.
The server can judge the similarity of the specific WiFi identification contained in the WiFi characteristic information and each actual place keyword contained in the actual place characteristic information in the process of determining the actual place characteristic information matched with the WiFi characteristic information, and when at least one actual place keyword similar to the specific WiFi identification exists in each actual place keyword, the actual place characteristic information can be determined to be similar to the WiFi characteristic information. The manner in which the server determines the similarity between the specific WiFi identifier and each actual place keyword is the same as that in step S102, and will not be described in detail here.
In practical applications, the information of each actual location may not be present in the local server of the service platform, for example, the information of each company is usually present in the server of the industrial and commercial bureau, the information of each residence of the user is usually present in the server of the real estate bureau, and the information of each actual location is also stored in the server of the map navigation company. Therefore, in the embodiment of the present application, when the server does not have information of actual locations, the server may obtain each actual location name and each actual location address from the third-party server, and further generate actual location feature information corresponding to each actual location according to each obtained actual location name and each actual location address.
In this embodiment, when the server determines that a plurality of pieces of actual location feature information match the specific WiFi identifier by determining the similarity between the specific WiFi identifier and the actual location keyword, the server may determine, according to each WiFi address included in the WiFi feature information corresponding to the specific WiFi identifier, a distance between each WiFi address and each actual location address included in each actual location feature information, and further determine an actual location name actually matching the specific WiFi identifier, that is, actual location feature information actually matching the specific WiFi identifier. When the similarity between at least one actual place keyword and the specific WiFi identifier is greater than a fourth threshold in the actual place feature information, and the distance between the actual place address contained in the actual place feature information and the WiFi address corresponding to the specific WiFi identifier is not greater than the first threshold, it may be determined that the actual place feature information matches with the WiFi feature information corresponding to the specific WiFi identifier, that is, the actual place name actually matching with the specific WiFi identifier is determined.
Certainly, in the process that the server determines the actual place name matched with the specific WiFi identifier, the server may also directly match the determined WiFi feature information corresponding to the specific WiFi identifier with each actual place feature information, and when the server determines that the similarity between at least one actual place keyword and the specific WiFi identifier is greater than a fourth threshold (that is, the actual place keyword is similar to the specific WiFi identifier), and at least one of the determined distances is not greater than the first threshold, it is determined that the actual place feature information is matched with the WiFi feature information.
Continuing from the above example, when the server identifies WiFi feature information (dieo 44, 44 ° 25'33 "N, 23 ° 43' 66" S, 45 ° 24'31 "N, 22 ° 40' 62" S), actual venue feature information matching the WiFi feature information can be identified from the actual venue feature information stored in advance, wherein for the actual venue feature information: (dieo 44, dianewo44, ew44, dieat44, 45 ° 24'30 "N, 22 ° 38' 55" S), the server determines that each actual location keyword included in the actual location feature information and a specific WiFi identifier in the WiFi feature information: when the text similarity between the two 44 is found, the text similarity between the two 44 actual location keywords in the actual location feature information and the specific WiFi identifier is greater than a fourth threshold, and the WiFi address included in the WiFi feature information: 45 ° 24'31 "N, 22 ° 40' 62" S and actual location address contained in the actual location feature information: and if the spherical distance between 45 DEG 24 '30' N,22 DEG 38 '55' S is smaller than a first threshold value, determining that the actual place characteristic information is matched with the WiFi characteristic information.
In addition, in the process of determining the actual location name matching the specific WiFi identifier, the server may also determine the actual location name matching the specific WiFi identifier only from the address dimension, that is, when the server determines that the distance between the specific WiFi identifier and the actual location address corresponding to a certain actual location name is not greater than the first threshold, it is determined that the specific WiFi identifier matches the actual location name.
S204: and determining the actual place corresponding to the actual place characteristic information as the actual place associated with the terminal.
After determining the actual place feature information matched with the WiFi feature information, the server can determine the actual place corresponding to the actual place feature information as the actual place corresponding to the specific WiFi identifier, and further determine the actual place associated with the user terminal.
In the method, the server can determine the specific WiFi identifier associated with the user terminal from the WiFi connected to the user terminal, and further determine the actual location corresponding to the specific WiFi identifier, thereby determining the actual location associated with the user terminal. Therefore, even if the user fills wrong address information in the terminal, the server can determine the actual location where the user frequently enters according to the WiFi connected with the user terminal, so that the service platform can accurately deliver the service to the user according to the determined address information of the actual location, and convenience is brought to the user.
It should be noted that, in the step S101, since the terminal device number of the user and the WiFi connection information of the user terminal connecting to each WiFi all belong to the user privacy for the user, in this embodiment of the application, when acquiring the terminal identifier and the connection record of the terminal connecting to each WiFi, the App in the user terminal or the user terminal may first send an authorization prompt to the user, and when it is monitored that the user passes through the authorization, the App may acquire the terminal identifier and the connection record of the terminal connecting to each WiFi, and then upload the acquired information to the server, so that the server records according to the information and the time information of the terminal connecting to the WiFi, and obtains the corresponding WiFi connection information. Certainly, in this embodiment of the application, the terminal may also generate corresponding WiFi connection information according to the terminal identifier, the connection record generated when the terminal connects to the WiFi, and the time information when the terminal connects to the WiFi, and then upload the WiFi connection information to the server.
In step S203, there may be a plurality of actual location feature information determined by the server to match with the WiFi feature information, and therefore, when such a situation occurs, the server may respectively determine the matching degree between the WiFi feature information and each actual location feature information, and further determine one actual location feature information corresponding to the WiFi feature information, for example, the server may determine the matching number between a specific WiFi identifier and each actual location keyword included in the actual location feature information, and when an actual location feature information includes the largest number of actual location keywords matching with the specific WiFi identifier, may determine the actual location feature information as the actual location feature information matching with the WiFi feature information.
In the foregoing steps S201 to S204, the actual location determined by the server and associated with the user terminal is usually some public locations, such as a company of the user, a restaurant frequently visited by the user, and the like, but in this embodiment of the present application, the server may also determine the actual residence of the user through each WiFi connected to the terminal, and the specific determination manner is substantially the same as the foregoing steps, except that some determination conditions included therein are different, for example, in the foregoing step S202, the server may determine an address cluster whose number of terminals included is not greater than a specified threshold, and then, the server may sort the determined address clusters from small to large according to the number of terminals included, and determine the address cluster ranked in the top N as the address cluster corresponding to the WiFi identifier, that is, select the address cluster with few terminals.
In step S103 or step S204, after determining the actual location name corresponding to the specific WiFi identifier, the server may further determine whether the actual location name is a work unit name of the user, where the specific determination method may be: after determining the actual place name corresponding to the specific WiFi identification, the server can determine whether the actual place name contains designated fields such as 'limited', 'shares', 'groups', 'companies' and the like which can represent work units, if so, the actual place name is determined to be the work unit name of the user, and then the actual place corresponding to the actual place name is determined to be the work unit of the user.
In addition, the server may also determine whether the actual location name is the name of the work unit of the user according to the connection period of the continuous connection between the terminal and the WiFi corresponding to the specific WiFi identifier, and the specific manner may be: when the server determines that the connection period of continuous connection between the terminal and the WiFi corresponding to the specific WiFi identifier is mostly concentrated in the AM:08: 13, 00 to 18, determining that the actual place name matched with the specific WiFi identifier is the work unit name of the user, and determining the actual place corresponding to the actual place name as the work unit of the user. Of course, the server may also determine whether the actual location name is the name of the work unit of the user by combining the two manners.
For the information determining method provided by the embodiment of the application, service platforms such as online shopping and meal ordering can determine places where users frequently go through by the method, so that the users can effectively receive commodities, services and the like distributed by the service platforms in the places, and user experience is greatly improved. In addition, for some service platforms such as credit and goods credit, the service platforms can also ensure that the benefits of the service platforms are not lost through the method, namely, when the user repays the money on time, even if the address left in the service platform by the user is the wrong address, the service platform can determine the place where the user frequently goes by the method, so that the service personnel of the service platform can go to the place to carry out the repayment to the user. The whole process of the above method will be described in detail below with a credit service as a scenario.
Fig. 4 is a schematic diagram of a detailed process of information determination provided in an embodiment of the present application.
In the embodiment of the application, the whole process of determining the user frequently visits the place by the credit service platform is divided into three parts, the first part is used for determining the WiFi address of each WiFi for the credit server of the credit service platform, and the method specifically comprises the following steps:
s3101: and collecting WiFi connection information of each terminal.
In order to determine the location where the user frequently enters and exits through each WiFi connected by the user terminal in the subsequent process, the credit server of the credit service platform needs to determine each WiFi address corresponding to each WiFi in advance, therefore, in this application embodiment, the credit server may acquire WiFi connection information of each terminal, and the acquisition mode used by the credit server may be that when it is monitored that the terminal logs in the credit service platform through WiFi, the WiFi connection information including the terminal identifier, the WiFi identifier, and the address where the terminal is connected to WiFi is acquired from the terminal, or the WiFi connection information of the terminal is automatically acquired through the App of the credit service platform, and the specific acquisition process is the same as the process of recording each WiFi connected to the terminal by the server described in the above step S101, and detailed description is omitted here.
S3102: and aiming at each WiFi identification, determining to acquire each piece of WiFi connection information containing the WiFi identification.
Since the credit server needs to determine the WiFi addresses of the WiFi, after the credit server acquires the WiFi connection information of each terminal, it may determine, for each WiFi identifier, which WiFi connection information matches the WiFi identifier in the acquired WiFi connection information, and then in a subsequent process, determine the WiFi address corresponding to the WiFi identifier through the determined WiFi connection information.
S3103: and clustering the terminal addresses contained in the WiFi connection information to obtain at least one address cluster.
The credit server can cluster the terminal addresses contained in the WiFi connection information after determining the WiFi connection information containing the WiFi identification, and the clustering aims to ensure that the positions of the terminals connected with the WiFi are all in the WiFi coverage range because the WiFi coverage range corresponding to the WiFi identification is limited, so that the positions of the terminals connected with the WiFi when the WiFi is connected are determined, and the WiFi addresses can be determined. Therefore, the coverage range of WiFi corresponding to the WiFi identification can be effectively obtained by clustering the terminal addresses, and then the WiFi address corresponding to the WiFi identification can be determined. In this step, the server clusters the addresses of the terminals, and the obtained address cluster is actually the coverage of WiFi, and since one WiFi may correspond to multiple coverage (because one actual location may have multiple WiFi devices, but one WiFi name is used), the address cluster corresponding to the WiFi identifier determined by the credit server may be one or multiple.
S3104: and determining the cluster address of each address cluster, and determining the obtained cluster address as the WiFi address corresponding to the WiFi identification.
After determining each address cluster corresponding to the WiFi identifier, the credit server may determine a cluster address of the address cluster for each address cluster, and since the address cluster includes each terminal address (the terminal address is an address where the terminal is connected to the WiFi), the credit server may determine a minimum area including each terminal address according to a preset address determination rule, and determine a central position of the area as the cluster address of the address cluster. Of course, the credit server may also determine the cluster address in other manners, and the specific manner is the same as that in step S202, which is not described in detail herein.
The credit server needs to determine the places where the user frequently enters and exits through each WiFi connected with the terminal, so that the credit server needs to determine not only the WiFi addresses corresponding to the WiFi identifications, but also the actual place addresses capable of being associated with the WiFi addresses, and then the places where the user frequently enters and exits are determined through the association relationship between the WiFi addresses and the actual place addresses. Therefore, in the embodiment of the present application, the credit server needs to determine, in advance, each actual location characteristic information corresponding to each actual location, and specifically includes the following steps:
s4101: and acquiring each actual place information from the third-party server.
In the embodiment of the application, when determining the characteristic information of each actual place, the credit server needs to acquire the information of each actual place first, if the actual place information of each actual place is pre-stored in the credit server, the credit server can directly determine the characteristic information of each actual place through the information of each actual place, if the information of each actual place is not stored in the credit server, the information of each actual place needs to be acquired from a third-party server, for example, when the credit server needs to determine a work unit of a user, the information of each company needs to be acquired from a server of a business bureau, and when the credit server needs to determine a residence of the user, the information of each house needs to be acquired from the server of the real estate bureau. The actual location information mentioned here includes the name of the actual location and the real address of the actual location.
S4102: and determining at least one actual place keyword corresponding to the actual place name according to the actual place name contained in the actual place information aiming at each actual place information.
In practical applications, the names of the WiFi of the actual places are usually named based on the real names of the actual places, and since the naming modes of the WiFi have diversity, in order that the credit server can effectively associate the names of the actual places with WiFi identifiers (i.e., wiFi names) in the subsequent process, the credit server may determine, for each piece of actual place information, at least one actual place keyword corresponding to the actual place name according to the actual place name included in the actual place information, where the specific mode of determining the keyword is the same as that in step S203, and is not described herein in detail. The credit server determines a plurality of actual place keywords corresponding to the actual place names, and the actual place keywords contain WiFi names of WiFi set by the actual places to a great extent, so that the credit server can effectively associate the actual place names with the WiFi identifications, and a foundation is laid for the credit server to determine the places where users frequently go in and out according to the WiFi connected with the user terminal.
S4103: and generating actual place characteristic information corresponding to the actual place information according to the determined actual place keywords and the actual place address contained in the actual place.
After the credit server determines each actual place keyword, each actual place keyword can be corresponding to an actual place address contained in the actual place information, so that actual place characteristic information corresponding to the actual place information is generated, the credit server can match the WiFi characteristic information with each actual place characteristic information after determining the WiFi characteristic information corresponding to the specific WiFi identification, and after determining the actual place characteristic information matched with the WiFi characteristic information, the place where the user frequently enters is determined through the actual place characteristic information.
Because the credit server determines in advance the WiFi addresses corresponding to the WiFi identifications and the actual location characteristic information corresponding to the actual locations, when subsequently determining a location where a user frequently visits, the credit server may determine the specific WiFi identification associated with the user terminal, and then further determine the WiFi address corresponding to the specific WiFi identification through the predetermined WiFi addresses, and in a subsequent process, determine the actual location characteristic information matched with the specific WiFi identification and the determined WiFi address from the predetermined actual location characteristic information through the specific WiFi identification and the determined WiFi address, and further determine the location where the user frequently visits finally through the actual location characteristic information, which specifically includes the following steps:
s5101: and determining WiFi identifications of WiFi connected by the terminal.
When determining the frequently-visited place of a certain user, the credit server may determine WiFi identities of WiFi connected to the terminal from a record of WiFi connection to the terminal held by the user, which is stored (collected) in advance, and the specific determination method is the same as that in step S101, and will not be described in detail here.
S5102: and determining the specific WiFi identification from the WiFi identifications.
The credit server can determine WiFi identifications of WiFi with stable connection relation with the terminal from the WiFi identifications after determining the WiFi identifications, namely, the WiFi identifications of WiFi which are not less than preset days are connected with the terminal in a preset time period, then the credit server can further determine the WiFi identification which is most in connection days with the terminal from the determined WiFi identifications, and the WiFi identification is determined to be specific WiFi identification associated with the terminal.
S5103: and determining WiFi characteristic information corresponding to the specific WiFi identification according to the specific WiFi identification and the predetermined WiFi address corresponding to the WiFi identification.
After determining the specific WiFi identifier associated with the terminal, the credit server may determine, according to the predetermined correspondence between each WiFi and each WiFi address, a WiFi address to which the specific WiFi identifier belongs, and determine, according to the specific WiFi identifier and the determined WiFi address, wiFi feature information corresponding to the specific WiFi identifier, where a specific manner of determining the WiFi feature information is the same as that described in step S102, and is not described in detail here.
S5104: and determining actual place characteristic information matched with the WiFi characteristic information from the predetermined actual place characteristic information.
The method comprises the steps that a credit server determines actual place characteristic information in advance, and then the credit server can match the WiFi characteristic information with the actual place characteristic information after determining the WiFi characteristic information corresponding to a specific WiFi identification, wherein the actual place characteristics predetermined by the credit server are more new, so that the efficiency is improved, the credit server can divide the actual place characteristic information according to geographical areas when saving the actual place characteristic information, and therefore when determining the actual place characteristic information matched with the WiFi characteristic information, the credit server determines the geographical area of the WiFi address in the credit server according to the WiFi address contained in the WiFi characteristic information, and then matches the actual place characteristic information in the geographical area with the WiFi characteristic information.
When the credit server matches the WiFi feature information with each actual place feature information, similarity calculation may be performed on each actual place keyword included in the actual place feature information and a specific WiFi identifier included in the WiFi feature information for each actual place feature information, and at the same time, the credit server may determine a distance between an actual place address included in the actual place feature information and a WiFi address included in the WiFi feature information, and when at least one actual place keyword included in a certain actual place feature information matches a specific WiFi and a distance between an actual place address included in the actual place feature information and the WiFi address is not greater than a preset distance, it is determined that the actual place feature information matches the WiFi feature information.
S5105: and determining the actual place corresponding to the actual place characteristic information as the actual place associated with the terminal.
After the credit server determines the actual place characteristic information matched with the WiFi characteristic information, the actual place corresponding to the actual place address contained in the actual place characteristic information can be determined as the actual place associated with the terminal, and since the mobile terminal held by the user in a period of time is stable, the actual place associated with the terminal is determined, which is equivalent to the place where the user frequently goes in and out, so that a service staff of the credit service platform can go to the actual place to carry out refund to the user holding the terminal according to the actual place associated with the terminal determined by the credit server, and the benefits of the credit service platform are guaranteed.
Based on the same idea, the information determining method provided in the embodiment of the present application further provides a device for processing a service, as shown in fig. 5.
Fig. 5 is a schematic diagram of an information determining apparatus provided in an embodiment of the present application, which specifically includes:
the identifier screening module 501 is configured to screen out a specific WiFi identifier satisfying a first preset condition from WiFi identifiers of WiFi devices connected to a terminal;
a name matching module 502, which determines an actual place name matched with the specific WiFi identifier from each actual place name;
the location determining module 503 determines the actual location corresponding to the actual location name as the actual location associated with the terminal.
The place determining module 503 determines an address of an actual place corresponding to the actual place name; and determining the address as the address associated with the terminal.
The place determining module 503 determines a WiFi address corresponding to the specific WiFi identifier when the number of actual place names matching the specific WiFi identifier is greater than 1; for each actual place name matched with the specific WiFi identification, respectively executing the following operations: determining an address of an actual place corresponding to the actual place name; and when the distance between the address and the WiFi address is not larger than a first threshold value, determining an actual place corresponding to the actual place name as an actual place associated with the terminal.
The identifier screening module 501 determines WiFi identifiers of WiFi with a connection duration with the terminal not less than a first preset duration within a first preset time period according to pre-stored connection information with WiFi connected to the terminal; and determining a specific WiFi identification from the determined WiFi identifications of the WiFi.
The identifier screening module 501 sorts the determined WiFi identifiers of the WiFi devices according to the connection duration between the terminal and the WiFi devices; and determining the WiFi identifications sequenced at the set positions as the specific WiFi identifications according to the sequencing result.
An address determining module 504 that determines the address of each terminal of each WiFi connected to the WiFi identifier; clustering the determined terminal addresses according to a preset clustering rule to obtain at least one address cluster, wherein the address cluster comprises at least one terminal address; and determining a cluster address corresponding to each address cluster, and determining the determined cluster address as a WiFi address corresponding to the WiFi identification.
The address determining module 504 acquires WiFi connection information including a WiFi identifier, where the connection information includes a terminal identifier of a terminal connected to the WiFi corresponding to the WiFi identifier and a connection duration for the terminal to connect to the WiFi; and determining whether the WiFi identification meets a second preset condition or not according to the terminal identification contained in the WiFi connection information and the connection duration between the terminal and the WiFi, and determining the terminal addresses of the terminals connected with the WiFi corresponding to the WiFi identification when the WiFi identification meets the second preset condition.
The address determining module 504 determines that the WiFi identifier satisfies the second preset condition when the connection duration between the WiFi corresponding to the WiFi identifier and each terminal is not less than the second preset duration and the number of the connection terminals is not less than the second threshold.
The address determining module 504 is configured to cluster the terminal addresses according to a preset clustering rule to obtain address clusters; respectively determining the number of terminals contained in each address cluster; screening out address clusters containing the number of terminals not less than a third threshold value from the address clusters; sorting the screened address clusters according to the number of terminals contained in the address clusters; and determining the address cluster sequenced at the preset position as the address cluster corresponding to the WiFi identification.
The address determining module 504 determines a cluster address corresponding to the address cluster according to each terminal address corresponding to the address cluster and a preset address determining rule.
The name matching module 502 determines, for each actual place name, at least one actual place keyword corresponding to the actual place name according to a preset keyword rule;
and when the similarity between at least one actual place keyword and the specific WiFi identification exists in the actual place keywords corresponding to the actual place name and is greater than a preset fourth threshold, determining that the actual place name corresponding to the actual place keyword is matched with the specific WiFi identification.
The name matching module 502 obtains names of actual places and addresses of actual places from a third-party server.
The location determining module 503, when determining that the actual location name includes a designated field for representing a work unit, determining an actual location corresponding to the actual location name as the work unit associated with the terminal; or when the connection time interval of continuous connection between the terminal and the WiFi corresponding to the specific WiFi identification is determined to be in the set time interval, determining the actual place corresponding to the actual place name as the work unit associated with the terminal.
In the embodiment of the application, after the server determines the WiFi identifiers of the WiFi connected to the terminal, the server may determine a specific WiFi identifier from the WiFi identifiers, and generate corresponding WiFi feature information according to a predetermined WiFi address corresponding to the specific WiFi identifier, the server may determine actual location feature information matched with the WiFi feature information from the predetermined actual location feature information, and determine an actual location associated with the terminal through the determined actual location feature information. The server can determine the specific WiFi associated with the user terminal from the WiFi connected with the user terminal, and further determine the actual place corresponding to the specific WiFi, so that the actual place associated with the user terminal is determined. Therefore, even if the user fills wrong address information in the terminal, the server can determine the actual place where the user frequently enters according to the WiFi connected with the user terminal, so that the service platform can accurately deliver the service to the user according to the determined address information of the actual place, and convenience is brought to the user.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD) (e.g., a Field Programmable Gate Array (FPGA)) is an integrated circuit whose Logic functions are determined by a user programming the Device. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually manufacturing an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as ABEL (Advanced Boolean Expression Language), AHDL (alternate Hardware Description Language), traffic, CUPL (core universal Programming Language), HDCal, jhddl (Java Hardware Description Language), lava, lola, HDL, PALASM, rhyd (Hardware Description Language), and vhigh-Language (Hardware Description Language), which is currently used in most popular applications. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be regarded as a hardware component and the means for performing the various functions included therein may also be regarded as structures within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of the present application shall be included in the scope of the claims of the present application.

Claims (20)

1. A method of information determination, comprising:
screening out specific WiFi identifications meeting a first preset condition from prestored WiFi identifications of all wireless fidelity WiFi connected with terminals; the first preset condition is used for enabling the server to screen out WiFi identifications of WiFi of actual places related to the terminal;
determining an actual place name matched with the specific WiFi identification from the actual place names; the method specifically comprises the following steps: the server carries out similarity matching on the specific WiFi identification and each actual place name contained in the server, so that the actual place name matched with the specific WiFi identification is determined;
determining an actual place corresponding to the actual place name matched with the specific WiFi identification as an actual place associated with the terminal; after the actual place associated with the terminal is determined, if the address of the actual place is found not to be consistent with the address information stored by the user in the service platform, replacing the address filled in the service platform by the user with the address of the actual place or sending an address modification prompt to the user so that the user can modify the address correspondingly after checking the prompt;
and associating the actual place associated with the terminal with the user to which the terminal belongs.
2. The method according to claim 1, wherein determining the actual location corresponding to the actual location name as the actual location associated with the terminal specifically includes:
determining an address of an actual place corresponding to the actual place name;
and determining the address as the address associated with the terminal.
3. The method of claim 1, wherein determining the actual location corresponding to the actual location name as the actual location associated with the terminal comprises:
when the number of the actual place names matched with the specific WiFi identification is larger than 1, determining a WiFi address corresponding to the specific WiFi identification;
for each actual place name matched with the specific WiFi identification, respectively executing the following operations:
determining the address of the actual place corresponding to the actual place name;
and when the distance between the address and the WiFi address is not larger than a first threshold value, determining the actual place corresponding to the actual place name as the actual place associated with the terminal.
4. The method according to claim 1, wherein the screening out a specific WiFi identifier satisfying a first preset condition from WiFi identifiers of WiFi connected to the terminal specifically includes:
determining WiFi identifications of WiFi with the connection duration of the terminal not less than a first preset duration in a first preset time period according to prestored connection information of the WiFi connected with the terminal;
and determining a specific WiFi identification from the determined WiFi identifications of the WiFi.
5. The method of claim 4, wherein determining a specific WiFi identifier from the determined WiFi identifiers of the WiFi's specifically comprises:
sequencing the determined WiFi identifications of the WiFi according to the connection duration of the terminal and the determined WiFi;
and determining the WiFi identifications sequenced at the set positions as the specific WiFi identifications according to the sequencing result.
6. The method of claim 3, wherein determining the WiFi address corresponding to the WiFi identifier specifically comprises:
determining each terminal address of each terminal connected with WiFi corresponding to the WiFi identification;
clustering the determined terminal addresses according to a preset clustering rule to obtain at least one address cluster, wherein the address cluster comprises at least one terminal address;
and determining a cluster address corresponding to each address cluster, and determining the determined cluster address as a WiFi address corresponding to the WiFi identifier.
7. The method of claim 6, wherein determining the respective terminal addresses of the WiFi terminals connected to the WiFi identifier comprises:
acquiring WiFi connection information containing a WiFi mark, wherein the connection information contains a terminal mark of a terminal connected with the WiFi corresponding to the WiFi mark and connection time for connecting the terminal with the WiFi;
determining whether the WiFi identification meets a second preset condition or not according to the terminal identification contained in the WiFi connection information and the connection duration between the terminal and the WiFi;
and when the WiFi identification is determined to meet the second preset condition, determining the terminal addresses of the terminals connected with the WiFi corresponding to the WiFi identification.
8. The method of claim 7, wherein determining whether the WiFi identifier satisfies a second predetermined condition specifically comprises:
and when the connection time length of the WiFi corresponding to the WiFi identification and each terminal is not less than a second preset time length and the number of the connection terminals is not less than a second threshold value, determining that the WiFi identification meets a second preset condition, otherwise, determining that the WiFi identification does not meet the second preset condition.
9. The method of claim 6, wherein clustering is performed according to a preset clustering rule according to the determined terminal addresses included in the WiFi connection information to obtain at least one address cluster, and specifically comprises:
clustering the terminal addresses according to a preset clustering rule to obtain address clusters;
respectively determining the number of terminals contained in each address cluster;
screening out address clusters containing the number of the terminals not less than a third threshold value from the address clusters;
sorting the screened address clusters according to the number of terminals contained in the address clusters;
and determining the address cluster sequenced at the preset position as the address cluster corresponding to the WiFi identification.
10. The method of claim 6, wherein determining the cluster address corresponding to the address cluster specifically comprises:
and determining a cluster address corresponding to the address cluster according to each terminal address contained in the address cluster and a preset address determination rule.
11. The method of claim 1, wherein determining the actual location name matching the particular WiFi identification from among the actual location names comprises:
aiming at each actual place name, determining at least one actual place keyword corresponding to the actual place name according to a preset keyword rule;
and when the similarity between at least one actual place keyword and the specific WiFi identification exists in the actual place keywords corresponding to the actual place name and is greater than a preset fourth threshold, determining that the actual place name corresponding to the actual place keyword is matched with the specific WiFi identification.
12. The method of claim 1 or 11, wherein prior to determining from among the actual location names the actual location name that matches the particular WiFi identification, the method further comprises:
and acquiring the names and the addresses of the actual places from the third-party server.
13. The method according to claim 1, wherein determining the actual location corresponding to the actual location name as the actual location associated with the terminal specifically includes:
when the actual place name is determined to contain a designated field used for representing a work unit, determining the actual place corresponding to the actual place name as the work unit associated with the terminal; or
And when the connection time interval of continuous connection between the terminal and the WiFi corresponding to the specific WiFi identification is determined to be in a set time interval, determining the actual place corresponding to the actual place name as a work unit associated with the terminal.
14. An apparatus for information determination, comprising:
the identification screening module is used for screening out specific WiFi identifications meeting first preset conditions from pre-stored WiFi identifications of WiFi connected with the terminal; the first preset condition is used for enabling the server to screen out WiFi identifications of WiFi of actual places related to the terminal;
the name matching module is used for determining the actual place name matched with the specific WiFi identifier from the actual place names; the method specifically comprises the following steps: the server carries out similarity matching on the specific WiFi identification and each actual place name contained in the server, so that the actual place name matched with the specific WiFi identification is determined;
the place determining module is used for determining an actual place corresponding to the actual place name matched with the specific WiFi identification as an actual place associated with the terminal; after the actual place associated with the user terminal is determined, if the address of the actual place is found not to be consistent with the address information stored in the service platform by the user, replacing the address filled in the service platform by the user with the address of the actual place or sending an address modification prompt to the user so that the user can modify the address correspondingly after checking the prompt;
and the association module is used for associating the actual place associated with the terminal with the user to which the terminal belongs.
15. The apparatus of claim 14, wherein the venue determination module determines a WiFi address corresponding to the particular WiFi identification when the number of actual venue names matching the particular WiFi identification is greater than 1; for each actual place name matched with the specific WiFi identification, respectively executing the following operations: determining the address of the actual place corresponding to the actual place name; and when the distance between the address and the WiFi address is not larger than a first threshold value, determining the actual place corresponding to the actual place name as the actual place associated with the terminal.
16. The apparatus of claim 15, wherein the apparatus further comprises:
the address determining module is used for determining the address of each terminal of each WiFi connection terminal corresponding to the WiFi identification; clustering the determined terminal addresses according to a preset clustering rule to obtain at least one address cluster, wherein the address cluster comprises at least one terminal address; and determining a cluster address corresponding to each address cluster, and determining the determined cluster address as a WiFi address corresponding to the WiFi identification.
17. The apparatus of claim 16, wherein the address determining module clusters the addresses of the terminals according to a preset clustering rule to obtain address clusters; respectively determining the number of terminals contained in each address cluster; screening out address clusters containing the number of terminals not less than a third threshold value from the address clusters; sorting the screened address clusters according to the number of terminals contained in the address clusters; and determining the address cluster sequenced at the preset position as the address cluster corresponding to the WiFi identifier.
18. The apparatus of claim 16, wherein the address determining module determines the cluster address corresponding to the address cluster according to each terminal address corresponding to the address cluster and a preset address determination rule.
19. The apparatus of claim 14, wherein the name matching module determines, for each actual place name, at least one actual place keyword corresponding to the actual place name according to a preset keyword rule; and when the similarity between at least one actual place keyword and the specific WiFi identification exists in the actual place keywords corresponding to the actual place name and is greater than a preset fourth threshold, determining that the actual place name corresponding to the actual place keyword is matched with the specific WiFi identification.
20. The apparatus of claim 14, wherein the location determining module determines an actual location corresponding to the actual location name as the work unit associated with the terminal when it is determined that the actual location name includes a designated field for characterizing the work unit; or when the connection time interval of continuous connection between the terminal and the WiFi corresponding to the specific WiFi identification is determined to be in the set time interval, determining the actual place corresponding to the actual place name as the work unit associated with the terminal.
CN202010325024.XA 2017-01-03 2017-01-03 Information determination method and device Active CN111556442B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010325024.XA CN111556442B (en) 2017-01-03 2017-01-03 Information determination method and device

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710001343.3A CN107040886B (en) 2017-01-03 2017-01-03 Information determination method and device
CN202010325024.XA CN111556442B (en) 2017-01-03 2017-01-03 Information determination method and device

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
CN201710001343.3A Division CN107040886B (en) 2017-01-03 2017-01-03 Information determination method and device

Publications (2)

Publication Number Publication Date
CN111556442A CN111556442A (en) 2020-08-18
CN111556442B true CN111556442B (en) 2023-03-24

Family

ID=59530808

Family Applications (2)

Application Number Title Priority Date Filing Date
CN202010325024.XA Active CN111556442B (en) 2017-01-03 2017-01-03 Information determination method and device
CN201710001343.3A Active CN107040886B (en) 2017-01-03 2017-01-03 Information determination method and device

Family Applications After (1)

Application Number Title Priority Date Filing Date
CN201710001343.3A Active CN107040886B (en) 2017-01-03 2017-01-03 Information determination method and device

Country Status (1)

Country Link
CN (2) CN111556442B (en)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107613462B (en) * 2017-10-16 2021-02-02 浙江宇视科技有限公司 Data analysis method and device and electronic equipment
US11782996B2 (en) 2017-11-09 2023-10-10 Google Llc On-demand location visit conversion metrics
CN108307318B (en) * 2017-12-21 2021-03-12 北京三快在线科技有限公司 User information acquisition method and device and electronic equipment
CN110232535B (en) * 2018-03-06 2022-02-01 北京京东振世信息技术有限公司 Information matching method and device, storage medium and electronic terminal
CN108804507B (en) * 2018-04-16 2019-07-30 北京嘀嘀无限科技发展有限公司 The address location determining method and system of user
CN109547931B (en) * 2019-01-14 2020-11-24 每日互动股份有限公司 Server for determining location of mobile terminal
CN109799524A (en) * 2019-03-15 2019-05-24 深圳五洲无线股份有限公司 A kind of localization method and system for children's wearable device
CN112016987A (en) * 2019-05-31 2020-12-01 阿里巴巴集团控股有限公司 Method and device for providing user interface information and establishing index information
CN112651536A (en) * 2019-10-10 2021-04-13 北京京东振世信息技术有限公司 Method and device for determining delivery address
CN111444442B (en) * 2020-03-25 2023-04-28 汉海信息技术(上海)有限公司 Information recommendation method and device
CN112566013B (en) * 2020-11-02 2021-08-31 上海钐昆网络科技有限公司 Target equipment positioning method, device, equipment and computer storage medium
CN112218238B (en) * 2020-12-11 2021-04-13 浙江口碑网络技术有限公司 Information output method and device, computer equipment and readable storage medium

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9392406B2 (en) * 2005-02-03 2016-07-12 Trueposition, Inc. Method and system for location-based monitoring of a mobile device
WO2007081356A2 (en) * 2005-02-22 2007-07-19 Skyhook Wireless, Inc. Continuous data optimization in positioning system
WO2007101107A2 (en) * 2006-02-24 2007-09-07 Skyhook Wireless, Inc. Methods and systems for estimating a user position in a wlan positioning system based on user assigned access point locations
US8798639B2 (en) * 2007-01-17 2014-08-05 Qualcomm Incorporated Method and apparatus for using historic network information for determining approximate position
CN101860791B (en) * 2010-06-09 2012-11-07 华为技术有限公司 Realizing method for positioning user terminal and related equipment
US8839328B2 (en) * 2010-07-15 2014-09-16 Broadcom Corporation Method and system for providing location aware tracking and services via an IP multimedia residential gateway
CN102348258A (en) * 2011-10-12 2012-02-08 北京百度网讯科技有限公司 Mobile terminal positioning method and device
CN103024667B (en) * 2012-11-26 2016-04-13 小米科技有限责任公司 The method of reporting information and device
CN103068042B (en) * 2013-01-16 2019-07-02 百度在线网络技术（北京）有限公司 Localization method and equipment
CN103945326B (en) * 2013-01-23 2019-04-26 百度在线网络技术（北京）有限公司 A kind of method and device of accurate information push
CN105630804A (en) * 2014-10-31 2016-06-01 阿里巴巴集团控股有限公司 Associated address determination method and apparatus
CN105847310A (en) * 2015-01-13 2016-08-10 中国移动通信集团江苏有限公司 Position determination method and apparatus
CN105263118B (en) * 2015-10-31 2018-06-29 广东欧珀移动通信有限公司 The localization method and user terminal of a kind of user terminal
CN105447129B (en) * 2015-11-18 2020-09-25 腾讯科技（深圳）有限公司 Personalized content acquisition method, user attribute mining method, system and device
CN105764031A (en) * 2016-01-05 2016-07-13 杭州华三通信技术有限公司 Wireless positioning method and wireless positioning device
CN105652304B (en) * 2016-01-06 2017-10-20 成都小步创想畅联科技有限公司 Merge the place recognition methods of multisensor

Also Published As

Publication number Publication date
CN111556442A (en) 2020-08-18
CN107040886A (en) 2017-08-11
CN107040886B (en) 2020-04-24

Similar Documents

Publication Publication Date Title
CN111556442B (en) Information determination method and device
CN103049515A (en) Method, device and equipment for classifying application programs
CN102025835A (en) Method and device for automatically classifying application programs in mobile terminal
US20160353262A1 (en) Freeing up mobile network for important phone calls in case of disaster
CN107479953B (en) Process management method, device, storage medium and electronic equipment
KR102068788B1 (en) Server for offering service targetting user and service offering method thereof
CN112311612A (en) Family portrait construction method and device and storage medium
CN107092609A (en) A kind of information-pushing method and device
CN103279384A (en) Method and device for reporting and sharing application programs for user
CN111444442B (en) Information recommendation method and device
US11082806B2 (en) Method of identifying user location, storage medium and electronic device
CN109918678A (en) A kind of field meanings recognition methods and device
CN110148013B (en) User label distribution prediction method, device and system
CN113807916A (en) Service recommendation processing method and device
CN103164498B (en) Geographical position presenting system and method
CN110008398B (en) Data classification management recommendation method and device
CN108830298B (en) Method and device for determining user feature tag
CN111935772A (en) Method and device for determining value of service area
CN108268545B (en) Method and device for establishing hierarchical user label library
CN115689676A (en) Industry identification method and apparatus, storage medium and electronic device
CN103838873A (en) Automatic searching method and system for application matching user information
CN111147377B (en) Method, device, equipment and medium for determining service channel
CN112508466A (en) Position identification method and device, computer readable storage medium and electronic equipment
CN110797014A (en) Voice recognition method and device and computer storage medium
CN103809957A (en) Cloud-based integration platform for mobile application development, and intelligent engine system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right

Effective date of registration: 20201012

Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Applicant after: Innovative advanced technology Co.,Ltd.

Address before: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Applicant before: Advanced innovation technology Co.,Ltd.

Effective date of registration: 20201012

Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Applicant after: Advanced innovation technology Co.,Ltd.

Address before: A four-storey 847 mailbox in Grand Cayman Capital Building, British Cayman Islands

Applicant before: Alibaba Group Holding Ltd.

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant