CN110704776B - Account type identification method and device and electronic equipment - Google Patents
Account type identification method and device and electronic equipment Download PDFInfo
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Abstract
The application provides an account type identification method, an account type identification device and electronic equipment, and relates to the field of big data, wherein the method comprises the following steps: acquiring a plurality of user equipment identification information when a user uses a plurality of devices, device information to which the user equipment identification information belongs, and account information corresponding to the user equipment identification information; forming a plurality of user equipment identification information pairs according to the plurality of user equipment identification information; aggregating the plurality of user equipment identification information to corresponding equipment according to the plurality of user equipment identification information pairs and the equipment information pair to which the user equipment identification information belongs; acquiring a plurality of accounts corresponding to the equipment according to account information corresponding to a plurality of user equipment identification information included in the equipment; the method and the device for providing the service solve the technical problem that the provided service cannot meet the requirements of the user due to the fact that the user cannot correctly identify the account type because a plurality of accounts exist in the prior art and the primary account is selected from a plurality of accounts corresponding to the device, and improve personalized service quality.
Description
Technical Field
The application relates to the technical field of internet, in particular to an account type identification method and device and electronic equipment.
Background
At present, account numbers can be registered by any software capable of logging in, for the same natural person, account registration can be carried out in various modes, such as mobile phone numbers, mailboxes, WeChat and the like, the registration mode is low in cost, and therefore, each person can have a plurality of account numbers, and for a service provider, when the service provider understands users, the service provider is possibly insufficient, and the situation of air drop or misdrop can occur when the service provider provides services for the users.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art described above.
Therefore, a first objective of the present application is to provide an account type identification method, which solves the technical problems that a user cannot correctly identify an account type due to the existence of a plurality of accounts in the prior art, so that the user cannot understand the account type sufficiently, and the provided service does not meet the user requirements.
A second object of the present application is to provide an account type identification apparatus.
A third object of the present application is to propose a computer device.
A fourth object of the present application is to propose a non-transitory computer-readable storage medium.
In order to achieve the above object, an embodiment of the first aspect of the present application provides a method for identifying an account type, including: acquiring a plurality of user equipment identification information when a user uses a plurality of devices, device information to which the user equipment identification information belongs, and account information corresponding to the user equipment identification information; forming a plurality of user equipment identification information pairs according to the plurality of user equipment identification information; aggregating the plurality of user equipment identification information to corresponding equipment according to the plurality of user equipment identification information pairs and the equipment information pair to which the user equipment identification information belongs, wherein the equipment comprises a plurality of pieces of user equipment identification information; acquiring a plurality of accounts corresponding to the equipment according to account information corresponding to the identification information of the user equipment, which is included by the equipment; and selecting a primary account number from a plurality of account numbers corresponding to the equipment.
In addition, the account type identification method in the embodiment of the application further has the following additional technical features:
optionally, the selecting a primary account number from among a plurality of account numbers corresponding to the device includes: acquiring login days and login time ranges of the accounts, and sequencing the accounts according to the login days; and selecting a primary account number from the plurality of account numbers according to the sorting result and the login time range.
Optionally, the plurality of account numbers are N account numbers, where N is a positive integer; selecting a primary account number from the plurality of account numbers according to the sorting result and the login time range comprises: acquiring first to Nth accounts which are sequenced according to the login days of the N accounts, wherein the login days of the first to Nth accounts are reduced one by one; taking the first account as a primary account to be selected, and judging whether the login time range of the first account covers other accounts or not; if the login time range of the first account number covers a second account number to the Nth account number, taking the first account number as a primary account number; if the login time range of the first account does not cover a second account to the Nth account, selecting an ith account as a primary account to be selected, and judging whether the login time range of the ith account covers other accounts or not, wherein i is a positive integer smaller than N; and if the login time range of the ith account number covers other account numbers, taking the ith account number as a primary account number.
Optionally, the aggregating the multiple pieces of user equipment identification information to the corresponding devices according to the multiple pieces of user equipment identification information and the device information pair to which the user equipment identification information belongs includes: calculating the plurality of user equipment identification information pairs through a connected graph algorithm to obtain a target connected graph; determining target equipment according to equipment information to which the user equipment identification information belongs; and aggregating all the user equipment identification information in the target connectivity graph to the target equipment.
Optionally, the forming a plurality of user equipment identity information pairs according to the plurality of user equipment identity information includes: detecting whether the identification information of the user equipment accords with a preset identification generation rule or not; deleting the user equipment identification information corresponding to the preset identification generation rule, so as to generate a plurality of pieces of to-be-processed user equipment identification information; and normalizing the attribute information of each piece of user equipment identification information in the plurality of pieces of equipment identification information to be processed to generate a plurality of user equipment identification information pairs.
In order to achieve the above object, an embodiment of a second aspect of the present application provides an apparatus for identifying an account type, including: the first acquisition module is used for acquiring a plurality of user equipment identification information when a user uses a plurality of devices, device information to which the user equipment identification information belongs and account information corresponding to the user equipment identification information; a forming module, configured to form a plurality of user equipment identity information pairs according to the plurality of user equipment identity information; an aggregation module, configured to aggregate the multiple pieces of user equipment identity information to corresponding devices according to the multiple pairs of user equipment identity information and device information to which the user equipment identity information belongs, where the device includes the multiple pieces of user equipment identity information; a second obtaining module, configured to obtain, according to account information corresponding to the multiple pieces of user equipment identification information included in the device, multiple accounts corresponding to the device; and the selection module is used for selecting a primary account number from a plurality of account numbers corresponding to the equipment.
In addition, the identification apparatus for the account type according to the embodiment of the present application further has the following additional technical features:
optionally, the selecting module includes: the acquisition unit is used for acquiring login days and login time ranges of the accounts and sequencing the accounts according to the login days; and the selection unit is used for selecting a primary account from the plurality of accounts according to the sorting result and the login time range.
Optionally, the plurality of account numbers are N account numbers, where N is a positive integer; the selection unit is specifically configured to: acquiring first to Nth accounts which are sequenced according to the login days of the N accounts, wherein the login days of the first to Nth accounts are reduced one by one; taking the first account as a primary account to be selected, and judging whether the login time range of the first account covers other accounts or not; if the login time range of the first account number covers a second account number to the Nth account number, taking the first account number as a primary account number; if the login time range of the first account does not cover a second account to the Nth account, selecting an ith account as a primary account to be selected, and judging whether the login time range of the ith account covers other accounts or not, wherein i is a positive integer smaller than N; and if the login time range of the ith account number covers other account numbers, taking the ith account number as a primary account number.
Optionally, the aggregation module is specifically configured to: calculating the plurality of user equipment identification information pairs through a connected graph algorithm to obtain a target connected graph; determining target equipment according to the equipment information to which the user equipment identification information belongs; and aggregating all the user equipment identification information in the target connectivity graph to the target equipment.
Optionally, the forming module is specifically configured to: detecting whether the identification information of the user equipment accords with a preset identification generation rule or not; deleting the user equipment identification information corresponding to the preset identification generation rule, so as to generate a plurality of pieces of to-be-processed user equipment identification information; and normalizing the attribute information of each piece of user equipment identification information in the plurality of pieces of equipment identification information to be processed to generate a plurality of user equipment identification information pairs.
To achieve the above object, a third aspect of the present application provides a computer device, including: a processor and a memory; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the account type identification method according to the embodiment of the first aspect.
To achieve the above object, a fourth aspect of the present application provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the account type identification method according to the first aspect of the present application.
To achieve the above object, an embodiment of a fifth aspect of the present application provides a computer program product, where instructions in the computer program product, when executed by a processor, implement the method for identifying an account type according to the embodiment of the first aspect.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
acquiring a plurality of user equipment identification information when a user uses a plurality of devices, device information to which the user equipment identification information belongs, and account information corresponding to the user equipment identification information; forming a plurality of user equipment identification information pairs according to the plurality of user equipment identification information; aggregating a plurality of user equipment identification information to corresponding equipment according to the plurality of user equipment identification information pairs and equipment information pairs to which the user equipment identification information belongs, wherein the equipment comprises a plurality of user equipment identification information; acquiring a plurality of accounts corresponding to the equipment according to account information corresponding to a plurality of user equipment identification information included in the equipment; the method and the device for providing the service solve the technical problems that in the prior art, a user cannot correctly identify the account type due to the fact that a plurality of accounts exist in the user, the user understanding is not sufficient, and the provided service does not meet the user requirements, can understand the user based on deeper behaviors, and improve the personalized service quality.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of an account type identification method according to an embodiment of the present application;
FIG. 2 is an exemplary diagram of collecting pairs of user equipment identification information according to one embodiment of the present application;
FIG. 3 is an exemplary diagram of user equipment identification information versus preprocessing according to one embodiment of the present application;
fig. 4 is a flowchart of an account type identification method according to another embodiment of the present application;
fig. 5 is a flowchart of an account type identification method according to another embodiment of the present application;
fig. 6 is a schematic structural diagram of an account type identification device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an account type identification device according to another embodiment of the present application;
FIG. 8 is a schematic structural diagram of an electronic device according to one embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The method, the device and the electronic equipment for identifying the account type according to the embodiment of the application are described below with reference to the drawings.
Specifically, in the prior art, a user has multiple accounts and cannot correctly identify the account type, so that the user is not sufficiently understood, and the provided service does not meet the technical problem of user requirements. In order to solve the problems, the application provides a method for identifying account types, which includes the steps of obtaining a plurality of user equipment identification information when a user uses a plurality of devices, device information to which the user equipment identification information belongs, and account information corresponding to the user equipment identification information; forming a plurality of user equipment identification information pairs according to the plurality of user equipment identification information; aggregating a plurality of user equipment identification information to corresponding equipment according to the plurality of user equipment identification information pairs and equipment information pairs to which the user equipment identification information belongs, wherein the equipment comprises a plurality of user equipment identification information; acquiring a plurality of accounts corresponding to the equipment according to account information corresponding to a plurality of user equipment identification information included in the equipment; and the primary account is selected from a plurality of accounts corresponding to the equipment, so that the user can understand based on deeper behaviors, and the personalized service quality is improved.
Specifically, fig. 1 is a flowchart of a method for identifying an account type according to an embodiment of the present application, and as shown in fig. 1, the method includes:
In practical application, a user may use multiple devices to log in one or more accounts to perform operations such as communication and information browsing, and it can be understood that the user may generate multiple pieces of user device identification information when using the devices, where the multiple pieces of user device identification information may be user device identification information generated by a service provider on the devices, or acquired hardware identification as user device identification information.
Specifically, when a service provider collects data, a collector is usually integrated in an APP or a browser of a service provider, so as to collect device information of a user, for example, an APP end can usually obtain user device identification information such as a CUID, a MAC, an IMEI, and the like, and a browser end can collect user device identification information such as a CUID and the like.
It can also be understood that the logged USERID can be collected while the user account logs in, and the information of the user's equipment brand, equipment model, active time, system and version, searched search terms, IP address, geographical location, etc. can be collected while the user's equipment identification information is collected.
Therefore, the device information to which the user equipment identification information belongs, such as the device brand, the device model, and the like, can be acquired, and the account information corresponding to the user equipment identification information, such as the USERID and the like of account login, can also be acquired.
For example, the device is a mobile phone a, and on a browser of the mobile phone a, the user logs in the hundred degree account userid1 and has searched key words, such as searching for a star, searching for a weather forecast, and the like; on the mobile phone A, a user installs a microblog app, such as a microblog account called userid2, and pays attention to some users on a microblog, wherein the users have search terms and click records; for example, a user carries a mobile phone A to pass through an electronic security inspection door, the security inspection door acquires imei and time and place of the mobile phone A, and swipes an identity card to pass through the security inspection door, records the identity card number of the user, the data of a browser, app and equipment, and can acquire account information and user behavior data corresponding to user equipment identification information, wherein the account information corresponding to the user equipment identification information comprises a hundred-degree account, a microblog account and the identity card number; user behavior, including date and time, location, behavior content, and the like.
Therefore, the gender, the place of daily living, the behavior estimation, the behavior habit and the like of a natural person can be judged through the user behavior, whether the previous multiple accounts are the same person or not and the browser behavior, for example, the equipment behavior possibly recorded by the Cookieid, possibly recorded by the imei and the idfa, and the equipment behavior recorded by the imei are judged, and the user equipment identification information on the equipment is aggregated to the mobile phone A, so that all data of the mobile phone A is associated with the user behavior to judge whether the hundredth account, the microblog account and the identity card number belong to the same natural person or not.
Specifically, the ue identification information CUID is actively generated by the collector, and since a plurality of ue identification information are collected in each log of the user at the same time, a plurality of pairs of ue identification information can be formed according to the plurality of ue identification information.
As a possible implementation manner, whether the plurality of pieces of user equipment identification information conform to a preset identification generation rule is detected, the user equipment identification information corresponding to the user equipment identification information which does not conform to the preset identification generation rule is deleted from the plurality of pieces of user equipment identification information to generate a plurality of pieces of user equipment identification information to be processed, and a plurality of user equipment identification information pairs are generated after normalization processing is performed on attribute information of each piece of user equipment identification information in the plurality of pieces of user equipment identification information to be processed.
It should be noted that a large number of rich multiple user equipment identification information pairs can be directly collected by the IDPAIR collector for multiple sources, and the multiple user equipment identification information pairs mainly include a browser end, an APP end and cross-end data, where the cross-end data refers to data from the browser end to the APP end on the device, and cross-end communication can be achieved by a certain technical means, so as to obtain the data, as shown in fig. 2.
Specifically, after forming the plurality of pairs of ue identification information, the plurality of pairs of ue identification information may be aggregated to the corresponding device according to the plurality of pairs of ue identification information and the device information pair to which the ue identification information belongs.
As a possible implementation manner, a target connectivity graph is obtained by calculating a plurality of user equipment identification information pairs through a connectivity graph algorithm, a target device is determined according to device information to which the user equipment identification information belongs, and all user equipment identification information in the target connectivity graph is aggregated to the target device.
It should be noted that after aggregating multiple pieces of user equipment identification information to corresponding devices, a device may include multiple pieces of user equipment identification information.
And step 104, acquiring a plurality of accounts corresponding to the device according to account information corresponding to a plurality of user equipment identification information included in the device.
Specifically, after a plurality of pieces of user equipment identification information are aggregated to corresponding equipment, the equipment can be determined to be the equipment of the user, then, a multi-account relation logged in on the equipment is calculated, a primary account is identified, and finally, correspondence from a natural person to an account is achieved.
That is to say, a plurality of accounts corresponding to the device may be acquired according to account information corresponding to the user device identification information included in the device, and a primary account may be selected from among the plurality of accounts corresponding to the device.
The method includes the steps that a master account is selected from a plurality of accounts corresponding to the slave device, as a possible implementation mode, login days and login time ranges of the accounts are obtained, the accounts are ranked according to the login days, and the master account is selected from the accounts according to ranking results and the login time ranges.
In summary, in the method for identifying the account type according to the embodiment of the present application, a plurality of pieces of user equipment identification information, pieces of equipment information to which the user equipment identification information belongs, and account information corresponding to the user equipment identification information when a user uses a plurality of pieces of equipment are obtained; forming a plurality of user equipment identification information pairs according to the plurality of user equipment identification information; aggregating a plurality of user equipment identification information to corresponding equipment according to the plurality of user equipment identification information pairs and equipment information pairs to which the user equipment identification information belongs, wherein the equipment comprises a plurality of user equipment identification information; acquiring a plurality of accounts corresponding to the equipment according to account information corresponding to a plurality of user equipment identification information included in the equipment; the method and the device for providing the service solve the technical problems that in the prior art, a user cannot correctly identify the account type due to the fact that a plurality of accounts exist in the user, the user understanding is not sufficient, and the provided service does not meet the user requirements, can understand the user based on deeper behaviors, and improve the personalized service quality.
Based on the above embodiments, it can be understood that there are various ways of forming a plurality of pairs of ue identification information according to a plurality of pairs of ue identification information, and the following result is described in detail with reference to fig. 3, and how to pre-process a plurality of pairs of ue identification information to form a plurality of pairs of ue identification information.
Fig. 3 is a flowchart of an account type identification method according to another embodiment of the present application, and as shown in fig. 3, the method includes:
Specifically, the method mainly comprises the steps of carrying out data cleaning, attribute normalization processing and data anti-cheating on the collected identification information of the plurality of user equipment.
It can be understood that each kind of ue identification information has a certain generation rule, and if the collected ue identification information does not conform to the corresponding generation rule, the ue identification information is highly likely to be illegal data, and for the ue identification information of hardware, a unified rule is usually used, and the actively generated XID, YID, etc. are freely specified by the service provider on the basis of the rule, for example: the MAC address is usually expressed as 12 16-ary numbers, each 2 16-ary numbers are separated by colons, for example, 08:00:20:0A:8C:6D is a MAC address, wherein the first 6-bit 16-ary number 08:00:20 represents the number of a network hardware manufacturer, which is assigned by IEEE, and the last 3-bit 16-ary number 0A:8C:6D represents a certain network product manufactured by the manufacturer.
It can be understood that, since the collected attribute information of each piece of user equipment identification information is more, and each attribute value is not uniform, which is not beneficial to the calculation of the user equipment identification information, and the normalization to a number can also reduce the storage, values of various kinds of attribute information (os, os _ version, vendor, model, browser, etc.) are respectively normalized, for example: in the system dimension, 0 is adopted to indicate that no system information is acquired, 1 is ANDROID, 2 is IOS, and 3 is WINDOWS.
It should be noted that, if the user equipment identification information pair is directly collected, in the process of accumulating the user equipment identification information pair, the wrong user equipment identification information association may occur, so that the user equipment identification information pair can be subjected to anti-cheating in the level, the cheating data is removed, and finally, a cleaner anti-cheated user equipment identification information pair is obtained, as shown in fig. 4.
Therefore, the accuracy of aggregating a plurality of user equipment identification information to form the equipment of the user is further improved.
Fig. 5 is a flowchart of an account type identification method according to another embodiment of the present application, and as shown in fig. 5, the method includes:
It should be noted that steps 301 to 302 are the same as steps 101 to 102, and the detailed description is given in steps 101 to 102, which is not described in detail here.
Specifically, after obtaining a plurality of pairs of user equipment identification information, then calculating the plurality of pairs of user equipment identification information by adopting a connected graph algorithm, wherein the plurality of pairs of user equipment identification information are equivalent to edges, and the user equipment identification information is equivalent to points.
It should be noted that, when aggregating multiple pieces of user equipment identification information to corresponding devices, an edge with userid may be removed first, mainly because userid is an account number of a user, many devices without the userid exist during login, and therefore the taken edge may be strongly associated, and when calculating a connectivity graph, the strong association of the edge is ensured first, and other XIDs are different on different devices, but the userid and the userid under the same account are the same, and therefore, when performing device identification, the userid cannot be brought into simultaneous calculation.
And step 304, acquiring a plurality of accounts corresponding to the device according to account information corresponding to the user equipment identification information included in the device.
And 305, acquiring login days and login time ranges of the multiple accounts, sequencing the multiple accounts according to the login days, and selecting a primary account from the multiple accounts according to the sequencing result and the login time range.
Specifically, a plurality of accounts corresponding to the device may be obtained according to account information corresponding to user equipment identification information included in the device, and a primary account may be selected from the plurality of accounts corresponding to the device, and more specifically, login days and login time ranges of the plurality of accounts are obtained, the plurality of accounts are sorted according to the login days, and the primary account is selected from the plurality of accounts according to the sorting result and the login time range.
Specifically, there are many scenarios from common devices to natural persons (for example, X and Y are different natural persons respectively), which are illustrated as follows:
for example, the device of X is only used by X, never logs in/logs in occasionally/uses USERID1 and USERID2 in sequence/uses USERID1 and USERID2 at the same time; for example, the device of X is used for logging in Y occasionally (Y logging in/Y not logging in); also for example, the device of X gives Y (Y logged in/Y not logged in) after a period of use; because the product lines such as the network disk, the library, the hundred family number and the like generally have the condition that one account is used by a plurality of natural people, the account information corresponding to the user equipment identification information needs to be cleaned firstly based on the number, the positioning and the like of equipment, and the fact that one account represents one natural person is ensured.
It can also be understood that the account number logged in on the device may be the account number of the device itself or the account number of another person, but one account number logs in on the device with the highest frequency, and basically, the account number and the device both belong to the same natural person.
Common account-to-natural person scenarios are as follows, X uses USERID1 on one or more devices; use USERID1, USERID2 simultaneously on one or more handsets; x uses USERID1 and USERID2 on a plurality of mobile phones respectively; x uses USERID1, Y occasionally uses USERID 1; x, Y use USERID1 together; the method includes the steps that a primary account and a small account are distinguished from accounts logged in the equipment, the primary account is used for representing a natural person, and the small account belongs to the primary account.
The method comprises the steps of obtaining a plurality of primary accounts from a plurality of accounts according to a sorting result and a login time range, wherein the primary accounts are selected from the accounts, N is a positive integer, the accounts are N, and a first account to an Nth account which are sorted according to login days of the N accounts are obtained, wherein the login days of the first account to the Nth account are reduced one by one, the first account is used as a primary account to be selected, whether the login time range of the first account covers other accounts is judged, if the login time range of the first account covers the second account to the Nth account, the first account is used as the primary account, if the login time range of the first account does not cover the second account to the Nth account, an ith account which is positioned behind the first account in the login day sorting is selected as the primary account to be selected in turn, and whether the login time range of the ith account covers other accounts is judged, and if the login time range of the ith account number covers other account numbers, taking the ith account number as a primary account number.
It should be noted that, in order to further improve the accuracy, in the data acquisition process, due to the universality of the login account, there is a high possibility that some abnormal relationship data will be mixed into the device login relationship, before the primary account is identified, the abnormal data needs to be cleaned first, and the data cleaning mainly includes the following contents: eliminating data of more than N USERIDs corresponding to 1 device; eliminating data of more than N devices corresponding to 1 piece of user equipment identification information; removing data which only appears 1 time in 1 day; each device retains the USERID of topN; and accumulating data logged in by different natural persons and the account, and disconnecting the equipment USERID of the conflict part based on the data, wherein the accumulation is used for preventing the data from being changed violently in a short time.
Specifically, 1, for a device, firstly, the login days are counted according to an account number (USERID), the login days are sorted from large to small according to the login days, each USERID has the earliest login time and the latest login time, 2, the USERID with the largest login days is determined as the primary account number of the device in the window of the earliest and latest login time, the rest of the USERIDs are traversed, the time is not covered by the USERID login time in the step 2, the USERID with the largest login days is continuously selected as the primary account number of the device in the USERID login window, and the termination condition of traversal is that the login times of all the USERIDs are covered by the primary account numbers.
Specifically, traversing all login accounts covered by the primary account in a login time window, and judging whether the account appears in the primary account, wherein if the account appears, the account is not a small number; if the account number does not appear and the proportion of the login time window of the account number in the primary account number login window is larger than a certain threshold, the account number is considered to be the small number of the traversed primary account number, in short, the small number does not appear in the primary account number and is covered by the unique primary account number, and the calculation process of the small number shows that a plurality of small numbers may exist under one primary account number and the small numbers follow the large numbers.
It should be noted that, through the above calculation, it can be known that the primary account number of each device at different time stages and the corresponding small-size information under the primary account number in the time period exist, because there are time periods and device factors, the relationship between the primary account number and the small size is local, but in a natural human level, there may be the following two conflict situations: the USERID1 is the USERID2 small number & USERID2 is the USERID3 small number, and at this time, the USERID2 is both the primary account number and the small number, and the USERID1 is the USERID2 small number & USERID2 is the USERID1 small number, which may occur in different device time periods.
Thus, the above conflict mainly exists at the level of a natural person who has removed the device, and when the natural person is concerned, the primary account number is for the current time, because the primary account number and the small size of the natural person may be interchanged at different time periods, for example: in a certain time period, the primary account number is USERID1, the small number is USERID2, but in another time period, the primary account number may be USERID2, and the small number is USERID1, when the time periods are the same, the above conflict situation may also occur, the conflict correction mainly removes the association relationship between one of the primary account numbers and the small number, and removes the relationship strength according to whether the relationship between the two sides is strong or weak, for example, the relationship mainly according to the USERID2 as the primary account number is strong or the relationship as the small number is strong. The strength of the relationship is judged according to the size of the registration coincidence days of another account, and the larger the registration coincidence days are, the stronger the relationship is, so that the accuracy of user identification is further improved.
Therefore, after the identification information of the user equipment is collected, the identification information of the user equipment is aggregated to form the equipment of the user, the multi-account relation logged in the equipment is calculated, the primary account is identified, the correspondence from natural people to the account is finally realized, the user understanding can be carried out based on deeper behaviors, and the personalized service quality is improved.
In order to implement the above embodiment, the present application further provides an account type identification apparatus. Fig. 6 is a schematic structural diagram of an account type identification apparatus according to an embodiment of the present application, and as shown in fig. 6, the account type identification apparatus includes: a first retrieving module 601, a forming module 602, an aggregation module 603, a second retrieving module 604, and a selecting module 605, wherein,
the first obtaining module 601 is configured to obtain multiple pieces of user equipment identification information when a user uses multiple pieces of equipment, equipment information to which the user equipment identification information belongs, and account information corresponding to the user equipment identification information.
A forming module 602, configured to form a plurality of user equipment identity information pairs according to the plurality of user equipment identity information.
An aggregating module 603, configured to aggregate the multiple pieces of user equipment identification information to corresponding devices according to the multiple pieces of user equipment identification information and the device information pair to which the user equipment identification information belongs, where the device includes multiple pieces of user equipment identification information.
A second obtaining module 604, configured to obtain, according to account information corresponding to the multiple pieces of user equipment identification information included in the device, multiple accounts corresponding to the device. And
a selecting module 605, configured to select a primary account number from a plurality of account numbers corresponding to the device.
In one embodiment of the present application, as shown in fig. 7, based on the method shown in fig. 6, the selecting module 605 includes: an acquisition unit 6051 and a selection unit 6052.
An obtaining unit 6051, configured to obtain login days and login time ranges of the multiple accounts, and sort the multiple accounts according to the login days.
A selecting unit 6052, configured to select a primary account from the multiple accounts according to the sorting result and the login time range.
In an embodiment of the present application, the plurality of account numbers are N account numbers, where N is a positive integer, and the selecting unit 6052 is specifically configured to: acquiring first to Nth accounts which are sequenced according to the login days of the N accounts, wherein the login days of the first to Nth accounts are reduced one by one; taking the first account as a primary account to be selected, and judging whether the login time range of the first account covers other accounts or not; if the login time range of the first account number covers a second account number to the Nth account number, taking the first account number as a primary account number; if the login time range of the first account does not cover a second account to the Nth account, selecting an ith account as a primary account to be selected, and judging whether the login time range of the ith account covers other accounts or not, wherein i is a positive integer smaller than N; and if the login time range of the ith account number covers other account numbers, taking the ith account number as a primary account number.
In an embodiment of the present application, the aggregation module 603 is specifically configured to: calculating the plurality of user equipment identification information pairs through a connected graph algorithm to obtain a target connected graph; determining target equipment according to equipment information to which the user equipment identification information belongs; and aggregating all the user equipment identification information in the target connectivity graph to the target equipment.
In an embodiment of the present application, the forming module 602 is specifically configured to: detecting whether the identification information of the user equipment accords with a preset identification generation rule or not; deleting the user equipment identification information corresponding to the preset identification generation rule, so as to generate a plurality of pieces of to-be-processed user equipment identification information; and normalizing the attribute information of each piece of user equipment identification information in the plurality of pieces of equipment identification information to be processed to generate a plurality of user equipment identification information pairs.
It should be noted that the explanation of the embodiment of the method for identifying an account type is also applicable to the apparatus for identifying an account type in this embodiment, and details are not repeated here.
To sum up, the account type identification apparatus of the embodiment of the present application obtains a plurality of pieces of user equipment identification information, piece of device information to which the user equipment identification information belongs, and account information corresponding to the user equipment identification information when a user uses a plurality of devices; forming a plurality of user equipment identification information pairs according to the plurality of user equipment identification information; aggregating a plurality of user equipment identification information to corresponding equipment according to the plurality of user equipment identification information pairs and equipment information pairs to which the user equipment identification information belongs, wherein the equipment comprises a plurality of user equipment identification information; acquiring a plurality of accounts corresponding to the equipment according to account information corresponding to a plurality of user equipment identification information included in the equipment; the method and the device for providing the service solve the technical problems that in the prior art, a user cannot correctly identify the account type due to the fact that a plurality of accounts exist in the user, the user understanding is not sufficient, and the provided service does not meet the user requirements, can understand the user based on deeper behaviors, and improve the personalized service quality.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
As shown in fig. 8, the electronic device is a block diagram of an electronic device according to an account type identification method in an embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 8, the electronic apparatus includes: one or more processors 801, memory 802, and interfaces for connecting the various components, including a high speed interface and a low speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). Fig. 8 illustrates an example of a processor 801.
The memory 802 is a non-transitory computer readable storage medium as provided herein. Wherein the memory stores instructions executable by at least one processor to cause the at least one processor to perform the method of account type identification provided herein. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to perform the method of identification of account types provided herein.
The memory 802, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the method for identifying account types in the embodiments of the present application (e.g., the first obtaining module 601, the forming module 602, the aggregating module 603, the second obtaining module 604, and the selecting module 605 shown in fig. 6). The processor 801 executes various functional applications of the server and data processing, i.e., a method of identifying the account number type in the above-described method embodiments, by running non-transitory software programs, instructions, and modules stored in the memory 802.
The memory 802 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of the electronic device according to identification of the account type, and the like. Further, the memory 802 may include high speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 802 optionally includes memory located remotely from the processor 801, which may be connected over a network to an electronic device for identification of account types. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the account type identification method may further include: an input device 803 and an output device 804. The processor 801, the memory 802, the input device 803, and the output device 804 may be connected by a bus or other means, and are exemplified by a bus in fig. 8.
The input device 803 may receive input numeric or character information and generate key signal inputs related to user settings and function controls of the electronic device for identification of the account type, such as a touch screen, keypad, mouse, track pad, touch pad, pointer stick, one or more mouse buttons, track ball, joystick, or like input device. The output devices 804 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
In summary, the electronic device of the embodiment of the application acquires a plurality of pieces of user equipment identification information, pieces of device information to which the user equipment identification information belongs, and account information corresponding to the user equipment identification information when the user uses a plurality of pieces of devices; forming a plurality of user equipment identification information pairs according to the plurality of user equipment identification information; aggregating a plurality of user equipment identification information to corresponding equipment according to the plurality of user equipment identification information pairs and equipment information pairs to which the user equipment identification information belongs, wherein the equipment comprises a plurality of user equipment identification information; acquiring a plurality of accounts corresponding to the equipment according to account information corresponding to a plurality of user equipment identification information included in the equipment; the method and the device for providing the service solve the technical problems that in the prior art, a user cannot correctly identify the account type due to the fact that a plurality of accounts exist in the user, the user understanding is not sufficient, and the provided service does not meet the user requirements, can understand the user based on deeper behaviors, and improve the personalized service quality.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. An account type identification method is characterized by comprising the following steps:
acquiring a plurality of user equipment identification information when a user uses a plurality of devices, device information to which the user equipment identification information belongs, and account information corresponding to the user equipment identification information;
forming a plurality of user equipment identification information pairs according to the plurality of user equipment identification information;
aggregating the plurality of user equipment identification information to corresponding equipment according to the plurality of user equipment identification information pairs and equipment information to which the user equipment identification information belongs, wherein the equipment comprises the plurality of user equipment identification information;
acquiring a plurality of accounts corresponding to the equipment according to account information corresponding to the identification information of the user equipment, which is included by the equipment; and
selecting a primary account from a plurality of accounts corresponding to the equipment, wherein login days and login time ranges of the accounts are obtained, the accounts are N accounts, N is a positive integer, and the accounts are sorted in a descending order according to the login days; taking a first account as a primary account to be selected, and judging whether the login time range of the first account covers other accounts:
and if the login time range of the first account number covers a second account number to an Nth account number, taking the first account number as a primary account number.
2. The method for identifying the account type according to claim 1, wherein the determining whether the login time range of the first account covers other accounts further comprises:
if the login time range of the first account does not cover a second account to the Nth account, selecting an ith account as a primary account to be selected, and judging whether the login time range of the ith account covers other accounts or not, wherein i is a positive integer smaller than N;
and if the login time range of the ith account number covers other account numbers, taking the ith account number as a primary account number.
3. The account type identification method according to claim 1, wherein the aggregating the multiple user equipment identification information to the corresponding device according to the multiple user equipment identification information pairs and the device information to which the user equipment identification information belongs comprises:
calculating the plurality of user equipment identification information pairs through a connected graph algorithm to obtain a target connected graph;
determining target equipment according to equipment information to which the user equipment identification information belongs;
and aggregating all the user equipment identification information in the target connectivity graph to the target equipment.
4. The account type identification method according to claim 1, wherein the forming a plurality of user equipment identification information pairs according to the plurality of user equipment identification information includes:
detecting whether the identification information of the user equipment accords with a preset identification generation rule or not;
deleting the user equipment identification information corresponding to the preset identification generation rule, so as to generate a plurality of pieces of to-be-processed user equipment identification information;
and normalizing the attribute information of each piece of user equipment identification information in the plurality of pieces of equipment identification information to be processed to generate a plurality of user equipment identification information pairs.
5. An account type identification device, comprising:
the first acquisition module is used for acquiring a plurality of user equipment identification information when a user uses a plurality of devices, device information to which the user equipment identification information belongs and account information corresponding to the user equipment identification information;
a forming module, configured to form a plurality of user equipment identity information pairs according to the plurality of user equipment identity information;
an aggregation module, configured to aggregate the multiple pieces of user equipment identity information to corresponding devices according to the multiple pairs of user equipment identity information and device information to which the user equipment identity information belongs, where the device includes the multiple pieces of user equipment identity information;
a second obtaining module, configured to obtain, according to account information corresponding to the multiple pieces of user equipment identification information included in the device, multiple accounts corresponding to the device; and
a selection module, configured to select a primary account from among a plurality of accounts corresponding to the device, where the selection module includes:
the acquiring unit is used for acquiring login days and login time ranges of the accounts, wherein the accounts are N accounts, N is a positive integer, and the accounts are sorted in a descending order according to the login days;
the selection unit is used for taking a first account as a primary account to be selected and judging whether the login time range of the first account covers other accounts:
and if the login time range of the first account number covers a second account number to an Nth account number, taking the first account number as a primary account number.
6. The account type identification device according to claim 5, wherein the selection unit is further configured to:
if the login time range of the first account does not cover a second account to the Nth account, selecting an ith account as a primary account to be selected, and judging whether the login time range of the ith account covers other accounts or not, wherein i is a positive integer smaller than N;
and if the login time range of the ith account number covers other account numbers, taking the ith account number as a primary account number.
7. The account type identification device according to claim 5, wherein the aggregation module is specifically configured to:
calculating the plurality of user equipment identification information pairs through a connected graph algorithm to obtain a target connected graph;
determining target equipment according to equipment information to which the user equipment identification information belongs;
and aggregating all the user equipment identification information in the target connectivity graph to the target equipment.
8. The account type identification device according to claim 5, wherein the forming module is specifically configured to:
detecting whether the identification information of the user equipment accords with a preset identification generation rule or not;
deleting the user equipment identification information corresponding to the preset identification generation rule, so as to generate a plurality of pieces of to-be-processed user equipment identification information;
and normalizing the attribute information of each piece of user equipment identification information in the plurality of pieces of equipment identification information to be processed to generate a plurality of user equipment identification information pairs.
9. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-4.
10. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-4.
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| CN113779346A (en) * | 2021-01-14 | 2021-12-10 | 北京沃东天骏信息技术有限公司 | Method and device for identifying one person with multiple accounts |
| CN112988842B (en) * | 2021-03-24 | 2023-12-22 | 北京百度网讯科技有限公司 | Method and device for associating user ID |
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