CN115423496A

CN115423496A - ID (identity) getting-through method and device, electronic equipment and storage medium

Info

Publication number: CN115423496A
Application number: CN202211242307.3A
Authority: CN
Inventors: 王声远; 黄衍宁; 陈亚男; 杨纯
Original assignee: Shanghai Mingsheng Pinzhi Artificial Intelligence Technology Co ltd
Current assignee: Shanghai Mingsheng Pinzhi Artificial Intelligence Technology Co ltd
Priority date: 2022-10-11
Filing date: 2022-10-11
Publication date: 2022-12-02

Abstract

The disclosure provides an ID (identity) getting-through method, an ID getting-through device, an electronic device and a storage medium, wherein user behavior events of various platforms are acquired; extracting ID data associated with each user behavior event, and constructing an associated connected graph corresponding to the ID data; configuring the associated priority among different ID types for the ID data; determining event time corresponding to the user behavior event where each incidence relation is located in the incidence connection graph, and dividing the incidence connection graph into a plurality of incidence sub-graphs according to the event time and the incidence priority; and generating a user unique identifier corresponding to the association relation reflected by each associated sub-graph according to the ID data with the highest association priority aiming at the ID data in each associated sub-graph. The logic of the ID opening process can be stronger, and the accuracy of the ID opening is improved.

Description

ID (identity) getting-through method and device, electronic equipment and storage medium

Technical Field

The disclosure relates to the technical field of data processing, and in particular to an ID (identity) getting-through method, an ID getting-through device, an electronic device and a storage medium.

Background

The Identity Document (ID) is a unique user identifier given to a user after the user associates IDs of different system platforms, and is a basic function of a Client Data Platform (CDP). The method aims to solve the problem of data isolated islands formed by data from different sources, and for data which is not processed by opening an ID, a client data platform cannot establish association between behaviors of users at different contacts, orders and other data, and can form a complete user information attempt after opening the ID to perform functional calculation such as labeling, crowd circling, crowd portrayal, algorithm models and the like.

At present, the maximum connected graph algorithm is usually adopted to achieve ID connection, but in the ID connection process by the method, if two users fill different mobile phone numbers and the same mailbox or address, the two users can be identified as the same user, IDs such as different mobile phone numbers and the like can be connected as the unique identifier of the same user, the logical property of the ID connection is poor, and the reliability of the unique identifier of the user after the ID connection is easily low.

Disclosure of Invention

The embodiment of the disclosure at least provides an ID punching method, an ID punching device, electronic equipment and a storage medium, so that the logic of an ID punching process is stronger, and the accuracy of ID punching is improved.

The embodiment of the disclosure provides an ID (identity) getting-through method, which comprises the following steps:

acquiring user behavior events of various platforms;

extracting ID data associated with each user behavior event, and constructing an associated connected graph corresponding to the ID data;

configuring the association priority among different ID types for the ID data;

determining event time corresponding to the user behavior event where each incidence relation is located in the incidence connection graph, and dividing the incidence connection graph into a plurality of incidence sub-graphs according to the event time and the incidence priority;

and generating a user unique identifier corresponding to the association relation reflected by each associated sub-graph according to the ID data with the highest association priority aiming at the ID data in each associated sub-graph.

In an optional implementation manner, the dividing the association connection graph into a plurality of association subgraphs according to the event time and the association priority includes:

dividing the ID data into user ID data and platform ID data;

determining whether a target user ID having an association relation with a plurality of user ID data exists or not aiming at the user ID data in the association connection graph;

and if so, reserving a connection edge between the user ID data with the latest event time and the target user ID.

In an optional embodiment, the dividing the associated connectivity graph into a plurality of associated subgraphs according to the event time and the associated priority further includes:

determining whether a first target platform ID having an association relation with a plurality of user ID data exists or not aiming at the platform ID data in the association connection graph;

if the user ID data exists, comparing the association priority among the user ID data associated with the first target platform ID, and reserving a connection edge between the user ID data with the highest association priority and the first target platform ID;

determining whether a second target platform ID having an association relation with a plurality of pieces of platform ID data having higher association priority than the plurality of pieces of platform ID data exists in each platform;

and if so, reserving a connecting edge between the platform ID data with the latest event time and the second target platform ID.

In an optional implementation manner, the extracting ID data associated with each user behavior event, and constructing an association connectivity graph corresponding to the ID data specifically includes:

aiming at each user behavior event, taking the ID data associated with the user behavior event as a node in the associated connected graph, and performing matching connection according to a preset ID association rule;

and according to the same ID data among the user behavior events, performing de-duplication fusion on the ID data after matching connection in all the user behavior events to generate an associated connected graph corresponding to the ID data.

In an optional embodiment, the ID association rule is:

the user ID data and the platform ID data can be connected in a matching way, and the user ID data can be connected in a matching way;

the platform ID data of different platforms cannot be connected in a matching mode, and the platform ID data of the same platform can be connected in a matching mode.

In an optional implementation manner, after the extracting ID data associated with each user behavior event, dividing the ID data into user ID data and platform ID data, and configuring association priorities between different ID types in the user ID data and the platform ID data, respectively, the method further includes:

acquiring historical ID data;

and after the historical ID data and the ID data are subjected to de-duplication, sorting according to the associated priority.

In an optional implementation manner, after the constructing an association connection graph corresponding to the ID data by using the association relationship as a connection edge according to the association relationship between the ID data in the user behavior event and the user behavior event, the method further includes:

acquiring a history association connection graph corresponding to the history ID data;

in the historical associated connected graph, filtering a connecting edge reflecting the same association relation with the associated connected graph;

fusing the filtered historical associated connected graph and the associated connected graph.

The embodiment of the present disclosure further provides an ID opening device, which includes:

the acquisition module is used for acquiring user behavior events of various platforms;

the association connection graph building module is used for configuring association priorities among different ID types for the ID data;

the associated priority configuration module is used for dividing the ID data into user ID data and platform ID data and respectively configuring the associated priorities among different ID types in the user ID data and the platform ID data;

the subgraph dividing module is used for determining event time corresponding to the user behavior event where each incidence relation is located in the incidence connection graph and dividing the incidence connection graph into a plurality of incidence subgraphs according to the event time and the incidence priority;

and the user unique identifier generating module is used for generating a user unique identifier corresponding to the association relation reflected by each associated sub-graph according to the ID data with the highest association priority in the ID data in each associated sub-graph.

In an optional implementation manner, the sub-graph partitioning module is specifically configured to:

dividing the ID data into user ID data and platform ID data;

In an optional implementation manner, the sub-graph partitioning module is further specifically configured to:

if yes, comparing the correlation priority among a plurality of user ID data correlated with the first target platform ID, and reserving a connecting edge between the user ID data with the highest correlation priority and the first target platform ID;

In an optional embodiment, the association connectivity graph building module is specifically configured to:

aiming at each user behavior event, taking the ID data associated with the user behavior event as a node in the association connected graph, and performing matching connection according to a preset ID association rule;

In an optional embodiment, the apparatus further comprises a deduplication module, the deduplication module is configured to:

acquiring historical ID data;

In an optional implementation manner, the apparatus further includes a historical association filtering module, and the historical association filtering module is configured to:

An embodiment of the present disclosure further provides an electronic device, including: the system comprises a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, the processor and the memory are communicated through the bus when the electronic device runs, and the machine-readable instructions are executed by the processor to execute the ID opening method or the steps of any possible implementation mode of the ID opening method.

The embodiment of the disclosure further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program is executed by a processor to perform the ID opening method or the steps in any possible implementation manner of the ID opening method.

Embodiments of the present disclosure further provide a computer program product, which includes a computer program/instruction, and when the computer program and the instruction are executed by a processor, the ID punch-through method or the steps in any one of the possible implementation manners of the ID punch-through method are implemented.

According to the ID getting-through method, the ID getting-through device, the electronic equipment and the storage medium, user behavior events of various platforms are acquired; extracting ID data associated with each user behavior event, and constructing an associated connected graph corresponding to the ID data; configuring the associated priority among different ID types for the ID data; determining event time corresponding to the user behavior event where each incidence relation is located in the incidence connection graph, and dividing the incidence connection graph into a plurality of incidence sub-graphs according to the event time and the incidence priority; and generating a user unique identifier corresponding to the association relation reflected by each associated sub-graph according to the ID data with the highest association priority aiming at the ID data in each associated sub-graph. The logic of the ID opening process can be stronger, and the accuracy of the ID opening is improved.

In order to make the aforementioned objects, features and advantages of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly described below, and the drawings herein incorporated in and forming a part of the specification illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the technical solutions of the present disclosure. It is appreciated that the following drawings depict only certain embodiments of the disclosure and are therefore not to be considered limiting of its scope, for those skilled in the art will be able to derive additional related drawings therefrom without the benefit of the inventive faculty.

Fig. 1 shows a flowchart of an ID punch-through method provided by an embodiment of the present disclosure;

FIG. 2 is a flow chart illustrating another ID opening method provided by the embodiments of the present disclosure;

FIG. 3 is a flow chart illustrating another ID opening method provided by the embodiments of the present disclosure;

fig. 4 shows a schematic diagram of an ID punch-through device provided by an embodiment of the present disclosure;

fig. 5 shows a schematic diagram of an electronic device provided by an embodiment of the present disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, not all of the embodiments. The components of the embodiments of the present disclosure, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present disclosure, presented in the figures, is not intended to limit the scope of the claimed disclosure, but is merely representative of selected embodiments of the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the disclosure without making creative efforts, shall fall within the protection scope of the disclosure.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures.

The term "and/or" herein merely describes an associative relationship, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of a, B, and C, and may mean including any one or more elements selected from the group consisting of a, B, and C.

According to research, at present, the maximum connected graph algorithm is usually adopted to achieve ID connection, but in the ID connection process by the method, if two users fill different mobile phone numbers and the same mailbox or address, the two users can be identified as the same user, IDs such as different mobile phone numbers and the like can be connected as the unique identifier of the same user, the logical property of the ID connection is poor, and the reliability of the unique identifier of the user after the ID connection is easily low.

Based on the research, the disclosure provides an ID communication method, an ID communication device, electronic equipment and a storage medium, wherein user behavior events of various platforms are acquired; extracting ID data associated with each user behavior event, and constructing an associated connected graph corresponding to the ID data; configuring the associated priority among different ID types for the ID data; determining event time corresponding to the user behavior event where each incidence relation is located in the incidence connection graph, and dividing the incidence connection graph into a plurality of incidence sub-graphs according to the event time and the incidence priority; and generating a user unique identifier corresponding to the association relation reflected by each associated sub-graph according to the ID data with the highest association priority aiming at the ID data in each associated sub-graph. The logic of the ID opening process can be stronger, and the accuracy of the ID opening is improved.

To facilitate understanding of the embodiment, first, an ID opening method disclosed in the embodiment of the present disclosure is described in detail, where an execution subject of the ID opening method provided in the embodiment of the present disclosure is generally a computer device with certain computing capability, and the computer device includes, for example: a terminal device, which may be a User Equipment (UE), a mobile device, a User terminal, a cellular phone, a cordless phone, a Personal Digital Assistant (PDA), a handheld device, a computing device, a vehicle mounted device, a wearable device, or a server or other processing device. In some possible implementations, the ID opening method may be implemented by a processor calling computer readable instructions stored in a memory.

Referring to fig. 1, a flowchart of an ID opening method provided in the embodiment of the present disclosure is shown, where the method includes steps S101 to S105, where:

s101, user behavior events of various platforms are obtained.

In specific implementation, behavior events of a user operating on various different network platforms such as social interaction, shopping and entertainment are acquired.

Here, the user behavior event may include: registration behavior events, purchase behavior events, binding behavior events, and the like.

Specifically, the manner of acquiring the user behavior events of the multiple platforms may be: by accessing Application Programming Interfaces (APIs) of multiple platforms, user behavior events corresponding to different users in each platform are called, and event occurrence time corresponding to each user behavior event is recorded.

S102, extracting the ID data associated with each user behavior event, and constructing an associated connected graph corresponding to the ID data.

In specific implementation, for each acquired user behavior event, the ID data associated with the user behavior event is extracted, and all the ID data associated with the same user behavior event are regarded as having an association relationship with each other. And connecting the ID data with the association relationship by taking the ID data as a point and taking the association relationship between the ID data as a side to form an association connection graph corresponding to the ID data.

It should be noted that the ID data may be data that can be used to identify user identity information, such as a mobile phone number, a mailbox, a platform account, a member number, a user nickname, and the like, and may be selected according to actual needs, which is not limited specifically herein.

Here, the ID data associated with the user behavior event may be ID data used in each user behavior event, for example: when a certain user behavior event is a purchase event on a certain shopping platform, the shopping platform ID used by the purchase event on the shopping platform is aid1, and the contact way provided during the purchase is the mobile phone number 180 xxxxxx, and the shopping platform ID: aid1 is associated with mailbox aaa @ bbb.com, then it can be considered that there is an association relationship between these three ID data, aid1, 180 xxxxxx and aaa @ bbb.com; further, if a binding event between the mobile phone number 180 xxxxxx and the member number member1 occurs on another platform, the two ID data 180 xxxxxx and member1 can also be considered to have an association relationship. At this time, the mobile phone number 180XXXXX has an association relationship with aid1, aaa @ bbb.com and an association relationship with member1, and the member1 has no association relationship with aid1 and aaa @ bbb.com, so that when the association connected graph is constructed, 180XXXXX, aid1 and aaa @ bbb.com are connected through a connecting line, 180XXXXX and member1 are connected through a connecting line, and member1 is not connected with aid1 and aaa @ bbb.com.

As a possible implementation manner, the ID data may be used as a point set of an association connected graph, and the association relationship between the related ID data in each user behavior event is used as an edge set of the association connected graph, and is processed by using a maximum connected graph algorithm, so as to generate an association connected graph corresponding to the ID data.

Specifically, the generation process of the association connectivity graph can be implemented by the following steps S1021 to S1022:

and S1021, aiming at each user behavior event, taking the ID data associated with the user behavior event as a node in the associated connected graph, and performing matching connection according to a preset ID association rule.

In specific implementation, all the associated ID data in each user behavior event are considered to have an association relationship, the ID data are used as nodes, and the nodes are connected by using connecting lines.

Here, the ID association rule may be: the user ID data and the platform ID data can be connected in a matching way, and the user ID data can be connected in a matching way; the platform ID data of different platforms cannot be connected in a matching mode, and the platform ID data of the same platform can be connected in a matching mode.

And S1022, according to the same ID data among the user behavior events, performing de-duplication fusion on the ID data after matching connection in all the user behavior events to generate an associated connected graph corresponding to the ID data.

In specific implementation, a plurality of user behavior events may involve the same ID data, and there may be a case where the same ID data repeatedly appears after matching connection, so that the same ID data needs to be merged to generate an association connection graph.

For example, the user behavior event 1 is associated with a mobile phone number 180 xxxxxx, a mailbox aaa @ bbb.com, and a social platform ID: uid1, oid1, shown during the process of mating the connection as: cell-phone number 180XXXXX, mailbox aaa @ bbb.com, social platform ID: uid1 and oid1 are connected in sequence; the user behavior event 2 is associated with a mailbox aaa @ bbb.com and a shopping platform ID: aid1, shown during mating connection as: com and shopping platform ID: aid1 is connected. Since the mailbox aaa @ bbb.com is repeatedly present, the user behavior event 1 is merged with the mailbox aaa @ bbb.com in the user behavior event 2, and the connection relationship at this time is as follows: cell phone number 180XXXXX, mailbox aaa @ bbb.com, social platform ID: uid1 and oid1 are connected in sequence, and meanwhile, the mailbox aaa @ bbb.com is connected with the shopping platform ID: aid1 is connected.

S103, configuring the associated priority among different ID types for the ID data.

In a specific implementation, the ID data respectively includes a plurality of ID data of different ID types, and the ID data is configured with an associated priority between the different ID types.

As another possible implementation, after step S103, the following steps may be further performed to fuse the history ID data with the newly added ID data: acquiring historical ID data; and after the historical ID data and the ID data are subjected to de-duplication, sorting according to the associated priority.

Further, in this possible embodiment, after step S102, the following step may be performed to fuse the historical ID data with the newly added ID data: acquiring a history association connection graph corresponding to the history ID data; in the historical associated connected graph, filtering a connecting edge reflecting the same association relation with the associated connected graph; fusing the filtered historical associated connected graph and the associated connected graph.

S104, determining event time corresponding to the user behavior event where each incidence relation is located in the incidence connection graph, and dividing the incidence connection graph into a plurality of incidence sub-graphs according to the event time and the incidence priority.

In a specific implementation, an association relationship exists between one platform ID data and multiple user ID data, an association relationship exists between one platform ID data and multiple platform ID data belonging to the same platform, and an association relationship exists between one user ID data and multiple user ID data, which may cause interference in the opening logic in the ID opening process, for example, in the case that an association relationship exists between one user ID data and multiple user ID data, for example, the same mailbox aaa @ bbb.com is displayed in the association communication diagram and is respectively connected with the mobile phone numbers 180xxxx and 155xxxx, according to the indication of the association communication diagram, the association relationship exists between the mailbox aaa @ bbb.com and the mobile phone numbers 180xxxx and 155xxxx, which should be classified as the same user, but in an actual case that two users fill different mobile phone numbers 180xxxx and 155xxxx, but the mailbox is not matched with the same mailbox @ bbb.155 xxxx due to the incorrect filling of the mailbox xxxxxx, which indicates that only the association relationship between the same mailbox ID data and the mobile phone numbers 155xxxx are communicated, is not matched with the logical address of the same mobile phone number 155 xxxx.

Therefore, in the embodiment of the present application, a logic that disconnects the association relationship is provided for a case where the association relationship exists between one platform ID data and a plurality of platform ID data belonging to the same platform and the association relationship exists between one user ID data and a plurality of user ID data, which are shown in the association connectivity graph.

As a possible implementation manner, the step of dividing the association connection graph into a plurality of association subgraphs may be implemented by steps S201 to S202 shown in fig. 2 as follows, referring to fig. 2, which is a flowchart of another ID opening method provided in the embodiment of the present disclosure, where the method includes steps S201 to S203:

s201, dividing the ID data into user ID data and platform ID data.

S202, aiming at the user ID data in the association connection graph, determining whether a target user ID having an association relation with a plurality of user ID data exists.

S203, if the event time exists, keeping the connection edge between the user ID data with the latest event time and the target user ID.

In specific implementation, for a case that an association relationship exists between one user ID data and a plurality of user ID data, it is necessary to perform association relationship disconnection processing by using event time corresponding to a user behavior event, when a case that a certain user ID data is connected to a plurality of other user ID data is displayed in an association graph, it is determined that the user ID data is a target user ID, and at the same time, it is determined that event time of a user behavior event to which an association relationship between the target user ID and each other user ID data associated therewith belongs, and the association relationship with the latest event time is retained, and other association relationships are disconnected at connection edges in the association graph.

Illustratively, the user ID data in the associative connectivity graph: the mailbox aaa @ bbb.com is respectively connected with the mobile phone numbers 180XXXXX and 155 XXXXXXX which are also used as user ID data, and the mailbox aaa @ bbb.com can be used as the target user ID. The association relationship between the mailbox aaa @ bbb.com and the mobile phone number 180XXXXX is derived from a user behavior event 1, and the corresponding event Time is Time1; the association relation between the mailbox aaa @ bbb.com and the mobile phone number 155XXXXX is derived from the user behavior event 2, the corresponding event Time is Time2, and the event Time2 is prior to Time1 after comparison, so that the connection line between the mailbox aaa @ bbb.com and the mobile phone number 155XXXXX is disconnected in the association connection diagram.

As another possible implementation manner, the step of dividing the association connectivity graph into a plurality of association subgraphs may also be implemented by steps S301 to S304 shown in fig. 3 as follows, referring to fig. 3, which is a flowchart of another ID opening method provided in the embodiment of the present disclosure, where the method includes steps S301 to S304, where:

s301, determining whether a first target platform ID having an association relation with the user ID data exists or not according to the platform ID data in the association connection graph.

S302, if the user ID data exists, comparing the correlation priority among the user ID data correlated with the first target platform ID, and reserving a connection edge between the user ID data with the highest correlation priority and the first target platform ID.

In specific implementation, for a case that an association relationship exists between one platform ID data and a plurality of user ID data, it is necessary to perform association disconnection processing by using an association priority, and when a case that a certain platform ID data is connected to a plurality of user ID data is displayed in an association graph, it is determined that the platform ID data is a first target platform ID, and meanwhile, the association priority between the user ID data associated with the first target platform ID is compared, the association relationship between the user ID data with the highest association priority is retained, and other association relationships are disconnected at a connection edge in the association graph.

Illustratively, the platform ID data in the associative connectivity graph: shopping platform ID: aid1 is associated with user ID data: and the mobile phone number 180 XXXXXXX is connected with the mailbox aaa @ bbb.com, and aid1 can be used as the first target platform ID. If the corresponding associated priority of the user ID data is: the member account ID > mobile phone number > mailbox, then the association priority of mobile phone number 180XXXXX is higher than mailbox aaa @ bbb.com, then the association is connected to the shopping platform ID in the figure: the connection line between aid1 and mailbox aaa @ bbb.com is disconnected.

S303, determining whether a second target platform ID having an association relation with a plurality of pieces of platform ID data with higher association priority than the second target platform ID exists in each platform.

S304, if the event time exists, keeping a connection edge between the platform ID data with the latest event time and the second target platform ID.

In specific implementation, for a situation that there is an association between one platform ID data and a plurality of platform ID data belonging to the same platform, it is necessary to perform association disconnection processing by using event time corresponding to a user behavior event, when a situation that a certain platform ID data is connected to the platform ID data belonging to the same platform is displayed in an association graph, it is determined that the platform ID data is a second target platform ID, and at the same time, it is determined that event time of a user behavior event to which the association between the second target platform ID and each of other platform ID data associated therewith belongs, the latest association of the event time is retained, and the other association is disconnected at a connection edge in the association graph.

Illustratively, the platform ID data in the associative connectivity graph: openID in WeChat architecture: oid1 is linked to UnionID: uid1 and UnionID: uid2 connects, and oid1 can be used as the second target platform ID. The incidence relation between the oid1 and the uid1 comes from a user behavior event 3, and the corresponding event Time is Time3; the incidence relation between the oid1 and the uid2 is derived from the user behavior event 4, the corresponding event Time is Time4, and the event Time3 is prior to the Time4 after comparison, so that the connecting line between the oid1 and the uid1 in the incidence connection diagram is disconnected.

Further, after the association connected graph is divided, the association connected graph is divided into a plurality of association sub-graphs.

S105, aiming at the ID data in each associated sub-graph, generating a user unique identifier corresponding to the association relation reflected by the associated sub-graph according to the ID data with the highest association priority.

In specific implementation, for each divided associated sub-graph, the ID data with the highest associated priority in the associated sub-graph is used as the user unique identifier, i.e., the SuperID, corresponding to the association relationship reflected by the associated sub-graph.

Illustratively, for a certain associated subgraph, a mobile phone number 180 xxxxxx, a mailbox aaa @ bbb.com and a UnionID in a WeChat hierarchy are connected in sequence: and uid1, if the association priority corresponding to the user ID data at this time is: the member account ID > mobile phone number > mailbox, and the association priority of the user ID data is higher than that of the platform ID data, then the user unique identifier corresponding to the associated sub-image can select the mobile phone number 180XXXXX, namely the mobile phone number 180XXXXX, the mailbox aaa @ bbb.com and UnionID in a WeChat system: and (3) opening three ID data of the uid1 to belong to the same user, and adopting a mobile phone number 180XXXXX as a user unique identifier of the user.

According to the ID communication method provided by the embodiment of the disclosure, user behavior events of various platforms are acquired; extracting ID data associated with each user behavior event, and constructing an associated connected graph corresponding to the ID data; configuring the associated priority among different ID types for the ID data; determining event time corresponding to the user behavior event where each incidence relation is located in the incidence connection graph, and dividing the incidence connection graph into a plurality of incidence sub-graphs according to the event time and the incidence priority; and generating a user unique identifier corresponding to the association relation reflected by each associated sub-graph according to the ID data with the highest association priority aiming at the ID data in each associated sub-graph. The logic of the ID opening process can be stronger, and the accuracy of the ID opening is improved.

It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.

Based on the same inventive concept, an ID punch-through device corresponding to the ID punch-through method is further provided in the embodiments of the present disclosure, and since the principle of solving the problem of the device in the embodiments of the present disclosure is similar to the ID punch-through method in the embodiments of the present disclosure, the implementation of the device may refer to the implementation of the method, and repeated details are not described again.

Referring to fig. 4, fig. 4 is a schematic view of an ID punch-through device according to an embodiment of the disclosure.

As shown in fig. 4, an ID opening apparatus 400 provided in an embodiment of the present disclosure includes:

an obtaining module 410, configured to obtain user behavior events of multiple platforms;

an association connection graph building module 420, configured to extract ID data associated with each user behavior event, and build an association connection graph corresponding to the ID data;

an association priority configuration module 430, configured to configure association priorities among different ID types for the ID data;

a subgraph division module 440, configured to determine event time corresponding to the user behavior event in which each association relationship is located in the association connected graph, and divide the association connected graph into a plurality of association subgraphs according to the event time and the association priority;

the user unique identifier generating module 450 is configured to generate, according to the ID data with the highest association priority in each associated sub-graph, a user unique identifier corresponding to an association relationship reflected by the associated sub-graph.

The description of the processing flow of each module in the apparatus and the interaction flow between the modules may refer to the relevant description in the above method embodiments, and will not be described in detail here.

The ID getting-through device provided by the embodiment of the disclosure obtains user behavior events of various platforms; extracting ID data associated with each user behavior event, and constructing an associated connected graph corresponding to the ID data; configuring the associated priority among different ID types for the ID data; determining event time corresponding to the user behavior event where each incidence relation is located in the incidence connection graph, and dividing the incidence connection graph into a plurality of incidence sub-graphs according to the event time and the incidence priority; and aiming at the ID data in each associated sub-graph, generating a user unique identifier corresponding to the association relation reflected by the associated sub-graph according to the ID data with the highest association priority. The logic of the ID opening process can be stronger, and the accuracy of the ID opening is improved.

Corresponding to the ID opening method in fig. 1 to fig. 3, an embodiment of the present disclosure further provides an electronic device 500, and as shown in fig. 5, a schematic structural diagram of the electronic device 500 provided in the embodiment of the present disclosure includes:

a processor 51, a memory 52, and a bus 53; the storage 52 is used for storing execution instructions and includes a memory 521 and an external storage 522; the memory 521 is also referred to as an internal memory, and is configured to temporarily store operation data in the processor 51 and data exchanged with an external memory 522 such as a hard disk, the processor 51 exchanges data with the external memory 522 through the memory 521, and when the electronic device 500 operates, the processor 51 communicates with the memory 52 through the bus 53, so that the processor 51 executes the steps of the ID access method in fig. 1 to 3.

The embodiments of the present disclosure further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program performs the steps of the ID opening method described in the foregoing method embodiments. The storage medium may be a volatile or non-volatile computer-readable storage medium.

The embodiments of the present disclosure further provide a computer program product, where the computer program product includes computer instructions, and the computer instructions, when executed by a processor, may perform the steps of the ID opening method in the foregoing method embodiments, which may be referred to specifically for the foregoing method embodiments, and are not described herein again.

The computer program product may be implemented by hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK), or the like.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again. In the several embodiments provided in the present disclosure, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, and for example, the division of the units into only one type of logical function may be implemented in other ways, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present disclosure. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

Finally, it should be noted that: the above-mentioned embodiments are merely specific embodiments of the present disclosure, which are used for illustrating the technical solutions of the present disclosure and not for limiting the same, and the scope of the present disclosure is not limited thereto, and although the present disclosure is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: those skilled in the art can still make modifications or changes to the embodiments described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the technical scope of the disclosure; such modifications, changes and substitutions do not depart from the spirit and scope of the embodiments disclosed herein, and they should be construed as being included therein. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims

1. An ID opening method is characterized by comprising the following steps:

acquiring user behavior events of various platforms;

configuring the association priority among different ID types for the ID data;

2. The method according to claim 1, wherein the dividing the associated connectivity graph into a plurality of associated subgraphs according to the event time and the associated priority includes:

dividing the ID data into user ID data and platform ID data;

3. The method according to claim 2, wherein the dividing the associated connectivity graph into a plurality of associated subgraphs according to the event time and the associated priority further comprises:

4. The method according to claim 2, wherein the extracting ID data associated with each user behavior event and constructing an association connectivity graph corresponding to the ID data specifically comprises:

and according to the same ID data among the user behavior events, carrying out de-duplication fusion on the ID data after matching connection in all the user behavior events to generate an associated connected graph corresponding to the ID data.

5. The method of claim 4, wherein the ID association rule is:

the user ID data and the platform ID data can be connected in a matching mode, and the user ID data can be connected in a matching mode;

6. The method according to claim 2, wherein after the extracting ID data associated with each user behavior event, dividing the ID data into user ID data and platform ID data, and configuring the association priorities between different ID types in the user ID data and the platform ID data, respectively, the method further comprises:

acquiring historical ID data;

7. The method according to claim 6, wherein after the association relationship between the user behavior events and the ID data is used as a connecting edge to construct an association connection graph corresponding to the ID data, the method further comprises:

in the historical associated connected graph, filtering the connected edges which reflect the same association relation in the associated connected graph;

8. An ID punch-through device, comprising:

the association connection graph building module is used for extracting the ID data associated with each user behavior event and building an association connection graph corresponding to the ID data;

the associated priority configuration module is used for configuring the associated priorities among different ID types for the ID data;

9. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is operating, the machine readable instructions when executed by the processor performing the steps of the ID punch-through method of any one of claims 1 to 7.

10. A computer-readable storage medium, having stored thereon a computer program for performing, when being executed by a processor, the steps of the ID punch-through method according to any one of claims 1 to 7.