CN115118693A - Group member data processing method and device, electronic equipment and storage medium - Google Patents
Group member data processing method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a data processing method, a device, an electronic device and a storage medium for group members, wherein the data processing method for the group members comprises the following steps: when a plurality of enterprise wechat users form an enterprise wechat group, acquiring attribute information of each enterprise wechat user in the enterprise wechat group; determining label information of each enterprise wechat user based on the attribute information of each enterprise wechat user; determining a social relationship between each enterprise micro credit user and other enterprise micro credit users based on the label information of each enterprise micro credit user; and classifying each enterprise micro credit user based on the social relation between each enterprise micro credit user and other enterprise micro credit users, and obtaining at least one client category. According to the method and the device, the group members can be classified based on the data of the group members, so that the specific service strategy can be conveniently determined based on the classification result of the group members, and the same service strategy can be conveniently adopted for the group members in the same category.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data processing method and apparatus for group members, an electronic device, and a storage medium.
Background
Currently, enterprise wechat is widely used in enterprise business, for example, to regularly maintain potential customers, however, in the process of maintaining customers in enterprise wechat, information such as attributes of potential users cannot be seen in enterprise wechat, so that it is difficult to classify customers, and further, a targeted service policy cannot be determined based on the classification of customers.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method, an apparatus, an electronic device, and a storage medium for processing group member data, so as to classify group members based on group member data, thereby facilitating to determine a targeted service policy based on a classification result of the group members, and facilitating to apply the same service policy to group members of the same class.
To this end, in a first aspect of the present application, a data processing method for group members includes:
when a plurality of enterprise wechat users form an enterprise wechat group, acquiring attribute information of each enterprise wechat user in the enterprise wechat group;
determining label information of each enterprise wechat user based on the attribute information of each enterprise wechat user;
determining a social relationship between each enterprise micro-credit user and other enterprise micro-credit users based on the label information of each enterprise micro-credit user;
classifying each enterprise micro credit user based on the social relationship between each enterprise micro credit user and other enterprise micro credit users, and obtaining at least one client category, wherein each enterprise micro credit user in the client category has the same label information.
In the application, when a plurality of enterprise micro credit users form an enterprise micro credit group, attribute information of each enterprise micro credit user in the enterprise micro credit group is obtained, label information of each enterprise micro credit user can be determined based on the attribute information of each enterprise micro credit user, a social relation between each enterprise micro credit user and other enterprise micro credit users can be determined based on the label information of each enterprise micro credit user, each enterprise micro credit user can be classified based on the social relation between each enterprise micro credit user and other enterprise micro credit users, and at least one client category is obtained, wherein each enterprise micro credit user in the client category has the same label information.
Compared with the prior art, the method and the device can classify the data of the group members so as to classify the group members, and further facilitate the determination of the targeted service strategy based on the classification result of the group members and the adoption of the same service strategy for the group members of the same category.
In the first aspect of the present application, as an optional implementation manner, the attribute information of the enterprise wechat user includes basic information of the enterprise wechat user and behavior interaction information generated by the interaction between the enterprise wechat user and a target bank terminal;
and determining label information of each enterprise wechat user based on the attribute information of each enterprise wechat user, comprising:
determining a proxy service object tag of each enterprise wechat user based on basic information of each enterprise wechat user;
and determining a plurality of personalized labels of each enterprise wechat user based on the behavior interaction information of each enterprise wechat user.
In this optional embodiment, since the attribute information of the enterprise wechat user includes the basic information of the enterprise wechat user and the behavior interaction information generated by the interaction between the enterprise wechat user and the target bank terminal, the proxy service object tag of each enterprise wechat user can be determined based on the basic information of each enterprise wechat user, and on the other hand, a plurality of personalized tags of each enterprise wechat user can be determined based on the behavior interaction information of each enterprise wechat user.
In the first aspect of the present application, as an optional implementation, the method further includes:
judging whether attribute information of each enterprise wechat user in the enterprise wechat group exists or not;
when the attribute information of each enterprise wechat user in the enterprise wechat group does not exist, acquiring the setting information of each enterprise wechat user in the enterprise wechat group;
and determining the label information of each enterprise wechat user based on the setting information of each enterprise wechat user in the enterprise wechat group.
In this optional embodiment, by determining whether the attribute information of each enterprise wechat user in the enterprise wechat group exists, and when the attribute information of each enterprise wechat user in the enterprise wechat group does not exist, the tag information of each enterprise wechat user can be determined by acquiring the setting information of each enterprise wechat user in the enterprise wechat group and further based on the setting information of each enterprise wechat user in the enterprise wechat group.
In the first aspect of the present application, as an optional implementation manner, the determining, based on the tag information of each of the enterprise micro-credit users, a social relationship between each of the enterprise micro-credit users and other enterprise micro-credit users includes:
and taking the label information of each enterprise wechat user as an input parameter of a GN algorithm, so that the GN algorithm determines the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
In this optional embodiment, the tag information of each enterprise wechat user is used as an input parameter of the GN algorithm, so that the GN algorithm can determine the social relationship between each enterprise wechat user and other enterprise wechat users based on the tag information of each enterprise wechat user.
In the first aspect of the present application, as an optional implementation manner, the determining, based on the tag information of each of the enterprise micro-credit users, a social relationship between each of the enterprise micro-credit users and other enterprise micro-credit users includes:
and taking the label information of each enterprise wechat user as an input parameter of a Louvain algorithm, so that the Louvain algorithm determines the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
In this optional embodiment, the label information of each enterprise wechat user is used as an input parameter of the Louvain algorithm, so that the Louvain algorithm can determine the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
In the first aspect of the present application, as an optional implementation manner, the determining, based on the tag information of each of the enterprise micro-credit users, a social relationship between each of the enterprise micro-credit users and other enterprise micro-credit users includes:
and taking the label information of each enterprise wechat user as an input parameter of an LPA algorithm, so that the LPA algorithm determines the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
In this optional embodiment, the tag information of each enterprise wechat user is used as an input parameter of the LPA algorithm, so that the LPA algorithm can determine the social relationship between each enterprise wechat user and other enterprise wechat users based on the tag information of each enterprise wechat user.
In the first aspect of the present application, as an optional implementation manner, the determining, based on the tag information of each of the enterprise micro-credit users, a social relationship between each of the enterprise micro-credit users and other enterprise micro-credit users includes:
and taking the label information of each enterprise wechat user as an input parameter of an SLPA algorithm, so that the SLPA algorithm determines the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
In this optional embodiment, the tag information of each enterprise wechat user is used as an input parameter of the SLPA algorithm, so that the SLPA algorithm can determine the social relationship between each enterprise wechat user and other enterprise wechat users based on the tag information of each enterprise wechat user.
A second aspect of the present application discloses a data processing apparatus for group members, the apparatus including:
the acquisition module is used for acquiring attribute information of each enterprise wechat user in an enterprise wechat group when a plurality of enterprise wechat users form the enterprise wechat group;
the first determination module is used for determining the label information of each enterprise wechat user based on the attribute information of each enterprise wechat user;
the second determination module is used for determining the social relationship between each enterprise micro credit user and other enterprise micro credit users based on the label information of each enterprise micro credit user;
the classification module is used for classifying each enterprise micro credit user based on the community relation between the enterprise micro credit user and other enterprise micro credit users and obtaining at least one client category, wherein each enterprise micro credit user in the client category has the same label information.
The apparatus of the second aspect of the present application, by performing the data processing method of the group members, is capable of, when several enterprise wechat users form an enterprise wechat group, by acquiring the attribute information of each enterprise wechat user in the enterprise wechat group, and further determining tag information of each of the enterprise wechat users based on the attribute information of each of the enterprise wechat users, and further capable of determining a social relationship between each of the enterprise micro-credited users and other enterprise micro-credited users based on the tag information of each of the enterprise micro-credited users, and further classifying each of the enterprise micro credit users based on the social relationship between the enterprise micro credit user and other enterprise micro credit users, and obtaining at least one client category, wherein each of the enterprise micro-credited users within the customer category has the same tag information.
Compared with the prior art, the method and the device can classify the data of the group members so as to classify the group members, thereby facilitating the determination of the targeted service strategy based on the classification result of the group members and facilitating the adoption of the same service strategy for the group members of the same category.
A third aspect of the present application discloses an electronic device comprising:
a processor; and
a memory configured to store machine readable instructions which, when executed by the processor, perform the data processing method of the first aspect of the application.
The electronic device of the third aspect of the present application, by performing the data processing method of the group member, is capable of, when a plurality of enterprise wechat users form an enterprise wechat group, by acquiring the attribute information of each enterprise wechat user in the enterprise wechat group, and further determining tag information of each of the enterprise wechat users based on the attribute information of each of the enterprise wechat users, and further capable of determining a social relationship between each of the enterprise wechat users and other ones of the enterprise wechat users based on the tag information of each of the enterprise wechat users, and further classifying each of the enterprise micro credit users based on the social relationship between the enterprise micro credit user and other enterprise micro credit users, and obtaining at least one client category, wherein each of the enterprise micro-credited users within the customer category has the same tag information.
Compared with the prior art, the method and the device can classify the data of the group members so as to classify the group members, and further facilitate the determination of the targeted service strategy based on the classification result of the group members and the adoption of the same service strategy for the group members of the same category.
A fourth aspect of the present application discloses a storage medium storing a computer program executed by a processor to perform the data processing method of the group member of the first aspect of the present application.
The storage medium of the fourth aspect of the present application, by executing the group member data processing method, can perform, when a plurality of enterprise wechat users form an enterprise wechat group, by acquiring the attribute information of each enterprise wechat user in the enterprise wechat group, and further determining tag information of each of the enterprise wechat users based on the attribute information of each of the enterprise wechat users, and further capable of determining a social relationship between each of the enterprise micro-credited users and other enterprise micro-credited users based on the tag information of each of the enterprise micro-credited users, and further classifying each of the enterprise micro credit users based on the social relationship between the enterprise micro credit user and other enterprise micro credit users, and obtaining at least one client category, wherein each of the enterprise micro-credited users within the customer category has the same tag information.
Compared with the prior art, the method and the device can classify the data of the group members so as to classify the group members, and further facilitate the determination of the targeted service strategy based on the classification result of the group members and the adoption of the same service strategy for the group members of the same category.
Drawings
To more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic flowchart of a data processing method for group members, disclosed in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a data processing apparatus for group members disclosed in an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a data processing method for group members according to an embodiment of the present disclosure. As shown in fig. 1, the method of the embodiment of the present application includes the following steps:
101. when a plurality of enterprise wechat users form an enterprise wechat group, acquiring attribute information of each enterprise wechat user in the enterprise wechat group;
102. determining label information of each enterprise wechat user based on the attribute information of each enterprise wechat user;
103. determining a social relationship between each enterprise micro credit user and other enterprise micro credit users based on the label information of each enterprise micro credit user;
104. classifying each enterprise micro credit user based on the social relationship between each enterprise micro credit user and other enterprise micro credit users, and obtaining at least one client category, wherein each enterprise micro credit user in the client category has the same label information.
In the embodiment of the application, when a plurality of enterprise micro-credit users form an enterprise micro-credit group, attribute information of each enterprise micro-credit user in the enterprise micro-credit group is obtained, label information of each enterprise micro-credit user can be determined based on the attribute information of each enterprise micro-credit user, a social relation between each enterprise micro-credit user and other enterprise micro-credit users can be determined based on the label information of each enterprise micro-credit user, each enterprise micro-credit user can be classified based on the social relation between each enterprise micro-credit user and other enterprise micro-credit users, and at least one client category is obtained, wherein each enterprise micro-credit user in the client category has the same label information.
Compared with the prior art, the method and the device can classify the data of the group members so as to classify the group members, and further facilitate the determination of the targeted service strategy based on the classification result of the group members and the adoption of the same service strategy for the group members of the same category.
In the embodiment of the application, as an optional implementation manner, the attribute information of the enterprise wechat user includes basic information of the enterprise wechat user and behavior interaction information generated by interaction between the enterprise wechat user and a target bank terminal;
and, the step: determining label information of each enterprise wechat user based on the attribute information of each enterprise wechat user, comprising the following steps:
determining a proxy service object label of each enterprise wechat user based on the basic information of each enterprise wechat user;
and determining a plurality of personalized labels of each enterprise wechat user based on the behavior interaction information of each enterprise wechat user.
In this optional embodiment, since the attribute information of the enterprise wechat user includes the basic information of the enterprise wechat user and the behavior interaction information generated by the interaction between the enterprise wechat user and the target bank terminal, the proxy service object tag of each enterprise wechat user can be determined based on the basic information of each enterprise wechat user, and on the other hand, a plurality of personalized tags of each enterprise wechat user can be determined based on the behavior interaction information of each enterprise wechat user.
In the embodiment of the present application, as an optional implementation manner, the method of the embodiment of the present application further includes the following steps:
judging whether attribute information of each enterprise wechat user in the enterprise wechat group exists or not;
when the attribute information of each enterprise wechat user in the enterprise wechat group does not exist, acquiring the setting information of each enterprise wechat user in the enterprise wechat group;
and determining the label information of each enterprise wechat user based on the setting information of each enterprise wechat user in the enterprise wechat group.
In this optional embodiment, by determining whether the attribute information of each enterprise wechat user in the enterprise wechat group exists, and when the attribute information of each enterprise wechat user in the enterprise wechat group does not exist, the tag information of each enterprise wechat user can be determined by acquiring the setting information of each enterprise wechat user in the enterprise wechat group and further based on the setting information of each enterprise wechat user in the enterprise wechat group.
In the embodiment of the present application, as an optional implementation manner, the steps of: determining a social relationship between each enterprise wechat user and other enterprise wechat users based on the tag information of each enterprise wechat user, comprising the steps of:
and taking the label information of each enterprise wechat user as an input parameter of the GN algorithm, so that the GN algorithm determines the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
In this optional embodiment, the label information of each enterprise wechat user is used as an input parameter of the GN algorithm, so that the GN algorithm can determine the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
In the first aspect of the present application, as an optional implementation manner, determining a social relationship between each enterprise micro credit user and other enterprise micro credit users based on the tag information of each enterprise micro credit user includes:
and taking the label information of each enterprise wechat user as an input parameter of the Louvain algorithm, so that the Louvain algorithm determines the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
In this optional embodiment, the label information of each enterprise wechat user is used as an input parameter of the Louvain algorithm, so that the Louvain algorithm can determine the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
In the embodiment of the application, as an optional implementation manner, the step of determining the social relationship between each enterprise micro credit user and other enterprise micro credit users based on the label information of each enterprise micro credit user includes:
and taking the label information of each enterprise wechat user as an input parameter of the LPA algorithm, so that the LPA algorithm determines the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
In this optional embodiment, the tag information of each enterprise wechat user is used as an input parameter of the LPA algorithm, so that the LPA algorithm can determine the social relationship between each enterprise wechat user and other enterprise wechat users based on the tag information of each enterprise wechat user.
In the embodiment of the present application, as an optional implementation manner, the steps of: determining a social relationship between each enterprise wechat user and other enterprise wechat users based on the tag information of each enterprise wechat user, comprising the substeps of:
and taking the label information of each enterprise wechat user as an input parameter of the SLPA algorithm, so that the SLPA algorithm determines the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
In this optional embodiment, the tag information of each enterprise wechat user is used as an input parameter of the SLPA algorithm, so that the SLPA algorithm can determine the social relationship between each enterprise wechat user and other enterprise wechat users based on the tag information of each enterprise wechat user.
Example two
Referring to fig. 2, fig. 2 is a schematic structural diagram of a data processing device for group members according to an embodiment of the present disclosure. As shown in fig. 2, the apparatus of the embodiment of the present application includes the following functional modules:
the acquisition module 201 is configured to acquire attribute information of each enterprise wechat user in an enterprise wechat group when a plurality of enterprise wechat users form the enterprise wechat group;
a first determining module 202, configured to determine tag information of each enterprise wechat user based on attribute information of each enterprise wechat user;
the second determining module 203 is used for determining the social relationship between each enterprise micro credit user and other enterprise micro credit users based on the label information of each enterprise micro credit user;
the classification module 204 is configured to classify each enterprise micro credit user based on a social relationship between each enterprise micro credit user and other enterprise micro credit users, and obtain at least one client category, where each enterprise micro credit user in the client category has the same tag information.
According to the device, when a plurality of enterprise micro-credit users form an enterprise micro-credit group, attribute information of each enterprise micro-credit user in the enterprise micro-credit group is acquired, label information of each enterprise micro-credit user is determined based on the attribute information of each enterprise micro-credit user, a social relation between each enterprise micro-credit user and other enterprise micro-credit users is determined based on the label information of each enterprise micro-credit user, each enterprise micro-credit user can be classified based on the social relation between each enterprise micro-credit user and other enterprise micro-credit users, and at least one client category is obtained, wherein each enterprise micro-credit user in the client category has the same label information.
Compared with the prior art, the method and the device can classify the data of the group members so as to classify the group members, and further facilitate the determination of the targeted service strategy based on the classification result of the group members and the adoption of the same service strategy for the group members of the same category.
In the embodiment of the application, as an optional implementation manner, the attribute information of the enterprise wechat user includes basic information of the enterprise wechat user and behavior interaction information generated by interaction between the enterprise wechat user and a target bank terminal;
accordingly, the first determining module 202 performs the step of determining the tag information of each enterprise wechat user based on the attribute information of each enterprise wechat user in a specific manner:
determining a proxy service object label of each enterprise wechat user based on the basic information of each enterprise wechat user;
and determining a plurality of personalized labels of each enterprise wechat user based on the behavior interaction information of each enterprise wechat user.
In this optional embodiment, since the attribute information of the enterprise wechat user includes the basic information of the enterprise wechat user and the behavior interaction information generated by the interaction between the enterprise wechat user and the target bank terminal, the proxy service object tag of each enterprise wechat user can be determined based on the basic information of each enterprise wechat user, and on the other hand, a plurality of personalized tags of each enterprise wechat user can be determined based on the behavior interaction information of each enterprise wechat user.
In this embodiment, as an optional implementation manner, the apparatus in this embodiment further includes a determining module, where:
the judging module is used for judging whether attribute information of each enterprise wechat user in the enterprise wechat group exists or not;
the acquisition module is also used for acquiring the setting information of each enterprise wechat user in the enterprise wechat group when the attribute information of each enterprise wechat user in the enterprise wechat group does not exist;
the first determining module is further used for determining the label information of each enterprise wechat user based on the setting information of each enterprise wechat user in the enterprise wechat group.
In this optional embodiment, by determining whether the attribute information of each enterprise wechat user in the enterprise wechat group exists, and when the attribute information of each enterprise wechat user in the enterprise wechat group does not exist, the tag information of each enterprise wechat user can be determined by acquiring the setting information of each enterprise wechat user in the enterprise wechat group and further based on the setting information of each enterprise wechat user in the enterprise wechat group.
Please refer to the related description of the first embodiment of the present application for other descriptions of the embodiments of the present application, which are not repeated herein.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device disclosed in the embodiment of the present application. As shown in fig. 3, the embodiment of the present application includes:
a processor 301; and
the memory 302 is configured to store machine-readable instructions, and the instructions, when executed by the processor 301, perform the data processing method according to the first embodiment of the present application.
According to the electronic equipment provided by the embodiment of the application, when a plurality of enterprise micro-credit users form an enterprise micro-credit group, attribute information of each enterprise micro-credit user in the enterprise micro-credit group is acquired, label information of each enterprise micro-credit user is determined based on the attribute information of each enterprise micro-credit user, a social relation between each enterprise micro-credit user and other enterprise micro-credit users is determined based on the label information of each enterprise micro-credit user, each enterprise micro-credit user can be classified based on the social relation between each enterprise micro-credit user and other enterprise micro-credit users, and at least one client category is obtained, wherein each enterprise micro-credit user in the client category has the same label information.
Compared with the prior art, the method and the device for classifying the group members can classify the data of the group members so as to determine the targeted service strategy based on the classification result of the group members and adopt the same service strategy for the group members of the same category.
Example four
The embodiment of the application discloses a storage medium, wherein a computer program is stored in the storage medium, and the computer program is executed by a processor to execute the data processing method of the group member in the first embodiment of the application.
The storage medium of the embodiment of the application can determine the label information of each enterprise wechat user based on the attribute information of each enterprise wechat user by acquiring the attribute information of each enterprise wechat user in an enterprise wechat group when a plurality of enterprise wechat users form the enterprise wechat group by executing a group member data processing method, and further can determine the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user, and further can classify each enterprise wechat user based on the social relationship between each enterprise wechat user and other enterprise wechat users, and obtain at least one client class, wherein each enterprise wechat user in the client class has the same label information.
Compared with the prior art, the method and the device for classifying the group members can classify the data of the group members so as to determine the targeted service strategy based on the classification result of the group members and adopt the same service strategy for the group members of the same category.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a division of one logic function, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. 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.
In addition, 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.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
It should be noted that the functions, if implemented in the form of software functional modules and sold or used as independent products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including 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 application. 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.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A method for data processing by members of a group, the method comprising:
when a plurality of enterprise wechat users form an enterprise wechat group, acquiring attribute information of each enterprise wechat user in the enterprise wechat group;
determining label information of each enterprise wechat user based on the attribute information of each enterprise wechat user;
determining a social relationship between each enterprise micro-credit user and other enterprise micro-credit users based on the label information of each enterprise micro-credit user;
classifying each enterprise micro credit user based on the social relationship between the enterprise micro credit user and other enterprise micro credit users, and obtaining at least one client category, wherein each enterprise micro credit user in the client category has the same label information.
2. The method of claim 1, wherein the attribute information of the enterprise wechat users comprises basic information of the enterprise wechat users and behavior interaction information generated by the interaction of the enterprise wechat users with target bank terminals;
and determining label information of each enterprise wechat user based on the attribute information of each enterprise wechat user, comprising:
determining a proxy service object tag of each enterprise wechat user based on basic information of each enterprise wechat user;
and determining a plurality of personalized labels of each enterprise wechat user based on the behavior interaction information of each enterprise wechat user.
3. The method of claim 1, wherein the method further comprises:
judging whether attribute information of each enterprise wechat user in the enterprise wechat group exists or not;
when the attribute information of each enterprise wechat user in the enterprise wechat group does not exist, acquiring the setting information of each enterprise wechat user in the enterprise wechat group;
and determining the label information of each enterprise wechat user based on the setting information of each enterprise wechat user in the enterprise wechat group.
4. The method of claim 1, wherein the determining a social relationship between each of the enterprise micro-credited users and other of the enterprise micro-credited users based on the tag information of each of the enterprise micro-credited users comprises:
and taking the label information of each enterprise wechat user as an input parameter of a GN algorithm, so that the GN algorithm determines the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
5. The method of claim 1, wherein the determining a social relationship between each of the enterprise micro-credited users and other of the enterprise micro-credited users based on the tag information of each of the enterprise micro-credited users comprises:
and taking the label information of each enterprise wechat user as an input parameter of a Louvain algorithm, so that the Louvain algorithm determines the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
6. The method of claim 1, wherein the determining a social relationship between each of the enterprise micro-credited users and other of the enterprise micro-credited users based on the tag information of each of the enterprise micro-credited users comprises:
and taking the label information of each enterprise wechat user as an input parameter of an LPA algorithm, so that the LPA algorithm determines the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
7. The method of claim 1, wherein the determining a social relationship between each of the enterprise micro-credited users and other of the enterprise micro-credited users based on the tag information of each of the enterprise micro-credited users comprises:
and taking the label information of each enterprise wechat user as an input parameter of an SLPA algorithm, so that the SLPA algorithm determines the social relationship between each enterprise wechat user and other enterprise wechat users based on the label information of each enterprise wechat user.
8. A data processing apparatus for members of a group, the apparatus comprising:
the acquisition module is used for acquiring attribute information of each enterprise wechat user in an enterprise wechat group when a plurality of enterprise wechat users form the enterprise wechat group;
the first determination module is used for determining the label information of each enterprise wechat user based on the attribute information of each enterprise wechat user;
the second determination module is used for determining the social relationship between each enterprise micro credit user and other enterprise micro credit users based on the label information of each enterprise micro credit user;
the classification module is used for classifying each enterprise micro credit user based on the community relation between the enterprise micro credit user and other enterprise micro credit users and obtaining at least one client category, wherein each enterprise micro credit user in the client category has the same label information.
9. An electronic device, comprising:
a processor; and
a memory configured to store machine readable instructions which, when executed by the processor, perform a method of data processing for group members as claimed in any of claims 1-7.
10. A storage medium, characterized in that the storage medium stores a computer program which is executed by a processor to perform the data processing method of a group member according to any one of claims 1 to 7.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180262883A1 (en) * | 2016-06-06 | 2018-09-13 | Tencent Technology (Shenzhen) Company Limited | Method for mining social account of target object, server, and storage medium |
| CN109255054A (en) * | 2017-07-14 | 2019-01-22 | 元素征信有限责任公司 | A kind of community discovery algorithm in enterprise's map based on relationship weight |
| CN110647590A (en) * | 2019-09-23 | 2020-01-03 | 税友软件集团股份有限公司 | Target community data identification method and related device |
| CN111159577A (en) * | 2019-12-31 | 2020-05-15 | 北京明略软件系统有限公司 | Community division method and device, storage medium and electronic device |
| CN111309815A (en) * | 2018-12-12 | 2020-06-19 | 北京嘀嘀无限科技发展有限公司 | Method and device for processing relation map and electronic equipment |
| CN113570391A (en) * | 2021-09-24 | 2021-10-29 | 平安科技（深圳）有限公司 | Community division method, device, equipment and storage medium based on artificial intelligence |
| CN114003704A (en) * | 2021-10-29 | 2022-02-01 | 平安消费金融有限公司 | Method and device for creating designated tag guest group, electronic equipment and storage medium |
| CN114119068A (en) * | 2021-10-28 | 2022-03-01 | 武汉海云健康科技股份有限公司 | Intelligent analysis method and management platform for pharmacy enterprise WeChat customer group |
-
2022
- 2022-06-28 CN CN202210745873.XA patent/CN115118693A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180262883A1 (en) * | 2016-06-06 | 2018-09-13 | Tencent Technology (Shenzhen) Company Limited | Method for mining social account of target object, server, and storage medium |
| CN109255054A (en) * | 2017-07-14 | 2019-01-22 | 元素征信有限责任公司 | A kind of community discovery algorithm in enterprise's map based on relationship weight |
| CN111309815A (en) * | 2018-12-12 | 2020-06-19 | 北京嘀嘀无限科技发展有限公司 | Method and device for processing relation map and electronic equipment |
| CN110647590A (en) * | 2019-09-23 | 2020-01-03 | 税友软件集团股份有限公司 | Target community data identification method and related device |
| CN111159577A (en) * | 2019-12-31 | 2020-05-15 | 北京明略软件系统有限公司 | Community division method and device, storage medium and electronic device |
| CN113570391A (en) * | 2021-09-24 | 2021-10-29 | 平安科技（深圳）有限公司 | Community division method, device, equipment and storage medium based on artificial intelligence |
| CN114119068A (en) * | 2021-10-28 | 2022-03-01 | 武汉海云健康科技股份有限公司 | Intelligent analysis method and management platform for pharmacy enterprise WeChat customer group |
| CN114003704A (en) * | 2021-10-29 | 2022-02-01 | 平安消费金融有限公司 | Method and device for creating designated tag guest group, electronic equipment and storage medium |
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