CN106911801B - method for associating user information and information pushing system - Google Patents

method for associating user information and information pushing system Download PDF

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Publication number
CN106911801B
CN106911801B CN201710251131.0A CN201710251131A CN106911801B CN 106911801 B CN106911801 B CN 106911801B CN 201710251131 A CN201710251131 A CN 201710251131A CN 106911801 B CN106911801 B CN 106911801B
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user
identity information
mobile equipment
information
user identity
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CN106911801A (en
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田丰
黄锦添
赵鑫
唐永明
马晓亮
贺芳
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BEIJING MEITAINUO COMMUNICATION TECHNOLOGY Co Ltd
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BEIJING MEITAINUO COMMUNICATION TECHNOLOGY Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • 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
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0255—Targeted advertisements based on user history
    • 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
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0277—Online advertisement
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/12—Messaging; Mailboxes; Announcements

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  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application provides a method for associating user information and an information pushing system, wherein the method comprises the following steps: when a user triggers an event in a commercial place online, acquiring user identity information, and simultaneously acquiring a mobile equipment MAC code corresponding to the triggering event or all mobile equipment MAC codes in a triggering event occurrence area; virtually binding user identity information acquired under a trigger event with a mobile equipment MAC code; screening user identity information and a mobile equipment MAC code with the highest relevance according to the virtual binding result of the same kind of trigger event; and associating the user identity information corresponding to each screened triggering event by taking the screened mobile equipment MAC code as an index to obtain a user information list. According to the method and the device, the user identity information list is established, the behavior track in the commercial environment under the user is combined with the consumption record and the browsing record under the user identity information through the user identity information list to perform data analysis, and the requirement preference of the user can be comprehensively and accurately determined.

Description

Method for associating user information and information pushing system
Technical Field
The present application relates to the field of information push, and in particular, to a method for associating user information and an information push system.
background
In the field of internet e-commerce, customized interfaces and commodity displays generated based on user behavior analysis and data mining have been widely used. The method comprises the steps of identifying according to a cookie generated by user browser access, a user ID and the like, collecting content of a user accessed webpage, staying time and attention, carrying out deep data mining and data analysis on the user in an electronic commerce network and SNS consumption interaction records and the like, deducing possible preference and demand of the user, and returning page display and information push which are most likely to meet the demand and preference of the user to the user when the user accesses the electronic commerce website again. The above method is not suitable for the demand of off-line commercial advertisement.
Currently there are two general approaches to advertisement placement for customers in off-line commercial establishments. One is to passively receive marketing advertisements for customers based on blind guided push from the customer to the store. And the other method is that the mobile terminal accesses the mobile internet through a wireless network by utilizing the WiFi terminal to analyze the data of the mobile terminal, and advertisement putting is carried out on the user holding the terminal equipment by identifying the MAC code of the terminal equipment and combining the position and time information of the user and the downlink of the user for analysis.
Disclosure of Invention
the online business place cannot acquire the real demand preference of the user for the advertisement putting of the customer, the identity information of the user, the online historical browsing record of the user and the behavior track in the online business environment are not analyzed, the data analysis is more difficult to be carried out by combining the identity information of the user and the online historical browsing record of the user and the behavior track in the online business environment, the user demand analysis is not comprehensive enough, the correlation precision of the pushed content and the user demand is low, the user experience is influenced, and troubles are caused to the customer and shopping guide. Further causes the problems of low transaction conversion rate and large business loss.
In order to solve the above technical problem, a technical solution of the present application is to provide a method for associating user information, including:
when a user triggers an event in a commercial place online, acquiring user identity information, and simultaneously acquiring a mobile equipment MAC code corresponding to the triggering event or all mobile equipment MAC codes in a triggering event occurrence area;
Virtually binding user identity information acquired under a trigger event with a mobile equipment MAC code;
screening user identity information and a mobile equipment MAC code with the highest relevance according to the virtual binding result of the same kind of trigger event;
and associating the user identity information corresponding to each screened triggering event by taking the screened mobile equipment MAC code as an index to obtain a user information list.
Another technical solution of the present application is to provide an information push system, including:
The system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring user identity information when a user triggers an event in a commercial place on line, acquiring a mobile equipment MAC code corresponding to the triggering event or all mobile equipment MAC codes in a triggering event occurrence area, and virtually binding the user identity information acquired under the triggering event with the mobile equipment MAC code;
the association module is used for screening out the user identity information and the mobile equipment MAC code with the highest association degree according to the virtual binding result of the same trigger event, taking the screened out mobile equipment MAC code as an index, and associating the screened out user identity information corresponding to each trigger event to obtain a user information list;
The user requirement preference analysis module is used for acquiring the spatial behavior track under the user line according to the MAC code in the user information list, acquiring the consumption record under the user line and/or the browsing record on the user line according to the user identity information in the user information list, and determining the user requirement preference according to the spatial behavior track under the user line, the consumption record under the user line and/or the browsing record on the user line;
the personalized file establishing module is used for combining the user requirement preference and the user information list to obtain a user personalized file;
and the pushing module is used for pushing information meeting the user requirement preference according to the user personalized file.
According to the method and the device, the user identity information list is established, the behavior track in the commercial environment under the user is combined with the consumption record and the browsing record under the user identity information through the user identity information list to perform data analysis, and the requirement preference of the user can be comprehensively and accurately determined. The user demand preference and the user information list are combined to obtain the user personalized file, and the information meeting the user demand preference can be pushed according to the personalized file, so that the mobile terminal held by the user can receive the information with high correlation with the user demand, the shopping experience of the off-line commercial place is improved, and the transaction amount and the turnover amount of the off-line commercial place can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for associating user information according to an embodiment of the present application;
Fig. 2 is a flowchart of screening user identity information and a mobile device MAC code with the highest association degree according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating the establishment of a close user group according to an embodiment of the present disclosure;
Fig. 4 is a structural diagram of an information push system according to an embodiment of the present application.
Detailed Description
in order to make the technical features and effects of the present application more obvious, the technical solutions of the present application are further described below with reference to the accompanying drawings, and the present application may also be described or implemented by other different specific examples, and any equivalent changes made by those skilled in the art within the scope of the claims are included in the protection scope of the present application.
in the description herein, references to the description of "an embodiment," "a particular embodiment," "some implementations," etc., mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment or example of the present application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. The sequence of steps involved in the embodiments is for illustrative purposes to illustrate the implementation of the present application, and the sequence of steps is not limited and can be adjusted as needed.
As shown in fig. 1, fig. 1 is a flowchart of a method for associating user information according to the present application. The embodiment can associate the MAC of the mobile device with the user identity information of the user according to the behavior of the user trigger event, and establish the user identity information list, so as to determine the user requirement preference according to the user identity information list. Specifically, the method comprises the following steps:
Step 101: when a user triggers an event in a commercial place online, user identity information is acquired, and meanwhile, a mobile equipment MAC code corresponding to the triggering event or all mobile equipment MAC codes in a triggering event occurrence area are acquired.
In practice, a plurality of signal collectors are deployed in the off-line commercial places (including but not limited to shopping centers, department stores, chain stores and the like) to ensure that any area of the off-line commercial places can be accurately positioned by users, so that the MAC codes of the mobile devices in the range of each area can be collected. The deployment form of the signal collector is not limited in the application, and the signal collector can be set at a fixed position or can be fixed in a movable manner (for example, the signal collection is carried out by shopping guide handheld equipment).
Step 102: and virtually binding the user identity information acquired under a trigger event with the MAC code of the mobile equipment.
in implementation, the virtual binding is performed, that is, the user identity information and the mobile device MAC code acquired under a trigger event are arranged into a data group.
Step 103: and screening the user identity information and the mobile equipment MAC code with the highest degree of association according to the virtual binding result of the same kind of trigger event.
Step 104: and associating the user identity information corresponding to each screened triggering event by taking the screened mobile equipment MAC code as an index to obtain a user information list.
In detail, the trigger event includes: member cash purchase, member registration, logging in to WiFi network, mobile payment and mobile payment by member. The mobile payment event refers to payment related events such as payment treasure payment, WeChat payment, code scanning and ticket sending, electronic ticket redemption and the like.
The user identity information includes one or more of member information (e.g., a member ID), a mobile phone number, and SNS user information (e.g., an SNS user ID). The SNS user information refers to account information of SNS social network platforms such as a Paibao account, a WeChat account, a QQ number and the like.
The following describes the process of acquiring user identity information under different trigger events respectively:
1) Obtaining user identity information through mobile payment
With the rapid development of the mobile internet, nowadays more and more user transactions complete a rapid payment process through a mobile phone.
the user identity information acquired during mobile payment includes SNS user information. When a user enters, flows and stays in a commercial place, when the user triggers mobile payment, SNS user ID is obtained, and the signal collector collects MAC codes of all mobile devices in a mobile payment occurrence area (for example, the mobile payment occurrence area is a range with the radius of a cash register area being r meters).
2) obtaining user identity information by logging in to WiFi network
With the continuous popularization of mobile devices with WiFi functions, a lot of WiFi hotspots are deployed in offline commercial places, and users can be attracted to stay and consume through providing WiFi internet access services.
The user identity information acquired when logging in the WiFi network comprises a member number and/or a mobile phone number. Specifically, a plurality of WiFi hotspots are deployed in the off-line business, a user can use a mobile terminal supporting a WiFi function to input a mobile phone number and/or a member number to authenticate the WiFi network, a mobile terminal MAC code is obtained in the authentication process, and a background server records the mobile terminal MAC code and the mobile phone number and/or the member number input by the user. The method can acquire the unique MAC code, the member number and/or the mobile phone number of the login terminal, and the acquired MAC code, the member number and/or the mobile phone number are virtually bound, so that the mobile phone number/the member number of the user and the MAC code can be accurately bound. The triggering method for logging in the WiFi network can omit step 103 and directly obtain the user identity information and the mobile device MAC code with the highest degree of association.
3) Obtaining user identity information through member cash purchase order/member registration
In order to establish, maintain and develop clients, enterprises establish a member management system, and in order to improve the satisfaction and loyalty of members and develop and utilize the members to the maximum extent, therefore, the establishment of the member management system in commercial activities is a conventional service work.
The user identity information acquired when the member purchases cash/registers includes member information and/or a mobile phone number. Specifically, when a member purchases a cash/registers for a member, the member number and/or the mobile phone number of the user is acquired, and the signal collector collects all MAC codes of the user in the area where the trigger event occurs.
4) obtaining user identity information through member mobile payment
When a member triggers the SNS account to buy the bill, the SNS user ID is obtained, the member number is obtained at the same time, and the signal collector collects all mobile equipment MAC codes in a mobile payment occurrence area.
in a further embodiment of the present application, as shown in fig. 2, the screening, in step 103, the user identity information and the mobile device MAC code having the highest association according to the virtual binding result of the same kind of trigger event includes:
step 201: and for a plurality of virtual binding results corresponding to each user identity information under each trigger event, calculating the occurrence frequency of each mobile equipment MAC code in the virtual binding results.
Step 202: and if the occurrence times of the unique mobile equipment MAC code are equal to the virtual binding result numbers, the unique mobile equipment MAC code and the user identity information have the highest correlation degree.
taking the triggering event as mobile payment, the user identity information as SNS user ID 1, and the number of virtual binding results corresponding to user ID 1 as 3 as an example, the following detailed description is made on the determination process of the user identity information with the highest degree of association and the mobile device MAC code, assuming that:
The list M 1 of MAC codes collected when the ID 1 triggers the event for the first time comprises { M 1, M 2x, M 3x, M 4x, … M nx };
The list M 2 of MAC codes collected when the ID 1 triggers the event for the second time comprises { M 1, M 5y, M 6y, M 7y, M 8y, … M ny };
the list M 3 of MAC codes collected when the ID 1 triggers the event for the third time comprises { M 1, M 9z, M 10z, M 11z, M 12z, … M nz };
The three virtual binding results corresponding to the three triggering events are [ ID 1, { m 1, m 2x, m 3x, m 4x, … m nx } ], [ ID 1, { m 1, m 5y, m 6y, m 7y, m 8y, … m ny } ], [ ID 1, { m 1, m 9z, m 10z, m 11z, m 12z, … m nz } ].
From the binding results, it can be found that the number of occurrences that the user ID 1 contains the specific MAC code m 1 code m 1 in the MAC code list collected in each trigger event is equal to the number of ID 1 virtual binding results, and therefore, the MAC code m 1 and the user ID 1 have the highest association degree.
In some embodiments, the method of associating user information further comprises: for the MAC codes acquired continuously for N times in any trigger event occurrence area, counting the times of simultaneous occurrence of every two MAC codes, establishing an intimate user group by the MAC codes with the occurrence times larger than a preset threshold value, and perfecting a user information list according to the intimate user group. Specifically, the predetermined threshold may be N/2, which is not specifically limited in this application and may be set according to the requirement of intimacy precision.
the following describes the establishment process of the close user group with an embodiment, as shown in fig. 3, assuming that the predetermined threshold is 2, the MAC code list obtained for 3 consecutive times in a trigger event occurrence area is:
The list of the MAC codes acquired at the nth time is M n ═ M 1, M 2, M 3x, M 4x, M 5x and … M x;
the list of the MAC codes acquired at the (n + 1) th time, M n+1 ═ { M 1, M 2, M 6y, M 7y, M 8y, … M y };
The list of the MAC codes acquired at the (n + 2) th time, M n+2 ═ { M 1, M 2, M 9z, M 10z, M 11z, … M z };
First, the occurrence number of every two MAC codes in the above 3 MAC code list is analyzed.
secondly, MAC codes with the occurrence number larger than 2 are established into an intimate user group, only m 1 codes and m 2 codes are analyzed to have the occurrence number larger than 2, so that the intimacy level of users of mobile equipment holding m 1 codes and m 2 codes is determined to be high, and m 1 codes and m 2 codes are established into an intimate user group.
and finally, storing the close user group, and associating each MAC code in the close user group and the associated user identity information thereof, thereby perfecting the user information list.
As shown in fig. 4, fig. 4 is a structural diagram of an information pushing system according to an embodiment of the present application. The embodiment can comprehensively analyze the user requirement preference by combining the shopping behavior of the user on line, and realize accurate pushing of the user preference information. Specifically, the method comprises the following steps:
The acquisition module 401 is configured to acquire user identity information when a user triggers an event in a commercial place online, acquire a mobile device MAC code corresponding to the trigger event or all mobile device MAC codes in a trigger event occurrence area, and virtually bind the user identity information acquired under the trigger event with the mobile device MAC code. When the method is implemented, the user line consumption record and the user line browsing record are also obtained when the triggering event occurs, so that the method can be called when the user demand preference is analyzed subsequently.
the association module 402 is configured to screen out the user identity information and the mobile device MAC code with the highest association degree according to the virtual binding result of the same kind of trigger event, and associate the screened user identity information corresponding to each trigger event with the screened mobile device MAC code as an index to obtain a user information list.
The user requirement preference analysis module 403 is configured to obtain a spatial behavior trajectory under the subscriber line according to the MAC code in the user information list, obtain a consumption record under the subscriber line and/or a browsing record on the subscriber line according to the user identity information in the user information list, and determine a user requirement preference according to the spatial behavior trajectory under the subscriber line, the consumption record under the subscriber line, and/or the browsing record on the subscriber line. Specifically, the offline spatial behavior trajectory includes, but is not limited to, the name of the store of the route, the residence time, and the like. The browsing records on the subscriber line include, but are not limited to, web pages visited by the user, dwell time, contents of interest, browsing records of e-commerce websites, and the like.
A personalized profile creation module 404, configured to obtain a user personalized profile by combining the user requirement preference and the user information list. In practice, the personalized profile is stored in a database.
And the pushing module 405 is configured to push information meeting the user requirement preference according to the user personalized profile. In particular, the information pushed to the user includes, but is not limited to, promotional information, advertising information, and the like. The pushing module matches the advertisement information meeting the user preference from the advertisement resource database according to the user personalized file, and returns the advertisement information most possibly meeting the user preference according to the matching degree.
According to the embodiment, the user identity information list is established, the behavior track in the commercial environment under the user line is combined with the consumption record and the browsing record under the user identity information through the user identity information list to perform data analysis, and the requirement preference of the user can be comprehensively and accurately determined. The user demand preference and the user information list are combined to obtain the user personalized file, and the information meeting the user demand preference can be pushed according to the personalized file, so that the mobile terminal held by the user can receive the information with high correlation with the user demand, the shopping experience of the off-line commercial place is improved, and the transaction amount and the turnover amount of the off-line commercial place are also improved.
further, the screening, by the association module 402, the user identity information and the mobile device MAC code with the highest association according to the virtual binding result of the same kind of trigger event further includes:
For a plurality of virtual binding results corresponding to each user identity information under each trigger event, calculating the occurrence frequency of each mobile equipment MAC code in the virtual binding results;
And if the occurrence times of the unique mobile equipment MAC code are equal to the virtual binding result numbers, the unique mobile equipment MAC code and the user identity information have the highest correlation degree.
Referring back to fig. 4, the information pushing system further includes: the user affinity analyzing module 406 is configured to count the number of times that every two MAC codes occur simultaneously for MAC codes acquired N times continuously in any trigger event occurrence area, build an affinity user group from the MAC codes whose number of times of occurrence is greater than a predetermined threshold, and complete a user information list according to the affinity user group by the associating module.
The establishment of the close user group can ensure that when one user with close relationship is determined to have consumption demand, the advertisement can be pushed according to the demand preferences of other users in the group.
In some embodiments, the pushing modes of the pushing module 405 include online accurate delivery and store terminal pushing. And pushing information meeting the user requirement preference to the SNS account by online accurate pushing. The method comprises the steps that after a shop terminal pushes a user to enter a commercial place, a mobile equipment MAC code held by the user is obtained, the user preference is searched from a user personalized file according to the mobile equipment MAC code, and advertisements related to the user preference are displayed through a screen page.
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 present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.
The above description is only for the purpose of illustrating the present disclosure, and any person skilled in the art can modify and change the above embodiments without departing from the spirit and scope of the present disclosure. Therefore, the protection scope of the claims of the present application shall be subject to the claims.

Claims (8)

1. A method for associating user information, comprising:
When a user triggers an event in a commercial place online, acquiring user identity information, and simultaneously acquiring a mobile equipment MAC code corresponding to the triggering event or all mobile equipment MAC codes in a triggering event occurrence area;
the method comprises the steps that user identity information acquired under a trigger event and a mobile equipment MAC code are subjected to virtual binding, wherein the virtual binding is to arrange the user identity information acquired under the trigger event and the mobile equipment MAC code into a data group;
Screening user identity information and a mobile equipment MAC code with the highest relevance according to the virtual binding result of the same kind of trigger event;
associating the user identity information corresponding to each screened triggering event by taking the screened mobile equipment MAC code as an index to obtain a user information list;
the screening of the user identity information and the mobile equipment MAC code with the highest relevance according to the virtual binding result of the same kind of trigger event comprises the following steps:
for a plurality of virtual binding results corresponding to each user identity information under each trigger event, calculating the occurrence frequency of each mobile equipment MAC code in the virtual binding results;
and if the occurrence times of the unique mobile equipment MAC code are equal to the virtual binding result numbers, the unique mobile equipment MAC code and the user identity information have the highest correlation degree.
2. The method of associating user information as recited in claim 1, wherein the triggering event comprises: member cash purchase order, member registration, WIFI network login and mobile payment.
3. The method of claim 1, wherein the user identity information comprises one or more of member information, a mobile phone number, and SNS user information.
4. The method of associating user information of claim 1, further comprising:
for the MAC codes acquired for N times continuously in any trigger event occurrence area, counting the simultaneous occurrence times of every two MAC codes, building an intimate user group by the MAC codes of which the occurrence times are more than a preset threshold value, and perfecting a user information list according to the intimate user group.
5. An information push system, comprising:
The system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring user identity information when a user triggers an event in a commercial place on line, acquiring a mobile equipment MAC code corresponding to the triggering event or all mobile equipment MAC codes in a triggering event occurrence area at the same time, and carrying out virtual binding on the user identity information acquired under the triggering event and the mobile equipment MAC code, wherein the virtual binding is to arrange the user identity information acquired under the triggering event and the mobile equipment MAC code into a data group;
The association module is used for screening out the user identity information and the mobile equipment MAC code with the highest association degree according to the virtual binding result of the same kind of trigger event, taking the screened out mobile equipment MAC code as an index, and associating the user identity information corresponding to each screened out trigger event to obtain a user information list, wherein the screening out the user identity information and the mobile equipment MAC code with the highest association degree according to the virtual binding result of the same kind of trigger event comprises the following steps: for a plurality of virtual binding results corresponding to each user identity information under each trigger event, calculating the occurrence frequency of each mobile equipment MAC code in the virtual binding results; if the occurrence frequency of the unique mobile equipment MAC code is equal to the number of the virtual binding results, the unique mobile equipment MAC code and the user identity information have the highest correlation degree;
the user requirement preference analysis module is used for acquiring the spatial behavior track under the user line according to the MAC code in the user information list, acquiring the consumption record under the user line and/or the browsing record on the user line according to the user identity information in the user information list, and determining the user requirement preference according to the spatial behavior track under the user line, the consumption record under the user line and/or the browsing record on the user line;
the personalized file establishing module is used for combining the user requirement preference and the user information list to obtain a user personalized file;
And the pushing module is used for pushing information meeting the user requirement preference according to the user personalized file.
6. The information push system of claim 5, further comprising:
And the user intimacy degree analysis module is used for counting the simultaneous occurrence times of every two MAC codes for the MAC codes acquired for N times continuously in any trigger event occurrence area, building an intimacy user group by the MAC codes with the occurrence times larger than a preset threshold value, and perfecting a user information list by the association module according to the intimacy user group.
7. The information push system of claim 5, wherein the triggering event comprises: member cash purchase order, member registration, WIFI network login and mobile payment.
8. The information push system of claim 5, wherein the user identity information includes one or more of member information, a cell phone number, and SNS user information.
CN201710251131.0A 2017-04-18 2017-04-18 method for associating user information and information pushing system Expired - Fee Related CN106911801B (en)

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