CN112765455A - Financial customer group recommendation system and method and electronic equipment - Google Patents
Financial customer group recommendation system and method and electronic equipment Download PDFInfo
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Abstract
The invention provides a system, a method and electronic equipment for recommending a financial guest group, which relate to the technical field of financial industry, wherein the system comprises a retrieval module and a matching module which are connected with each other; the retrieval module is used for determining user retrieval requirements based on user operation; the matching module is used for matching the customer group information based on the retrieval requirements of the users so as to recommend the financial customer group based on the matching result. The invention can realize online intelligent customized retrieval and matching of regional industry passenger groups, greatly improve the industry research efficiency of financial institutions and reduce the opportunity cost of industry extension.
Description
Technical Field
The invention relates to the technical field of financial industry, in particular to a system and a method for recommending financial customers and electronic equipment.
Background
At present, with the change of social financing mode and market competition pattern, credit risks of partial guest groups, industries and regions accumulate gradually, the high-capital-consumption type asset-driven business development mode of traditional financial institutions such as banks is difficult to follow, the change of external factors and the pressure of asset quality control increase, however, for the problem, the traditional financial institutions such as banks adopt a manual mode to search the guest groups, the industry regions and the like, the efficiency of determining the guest groups is low, the coverage is small, and high cost (human cost, opportunity cost and the like) is needed for obtaining accurate guest group information.
Disclosure of Invention
The invention aims to provide a system, a method and electronic equipment for recommending a financial customer group, which can realize online intelligent user-defined retrieval and matching of regional industrial customer groups, greatly improve the industrial research efficiency of financial institutions and reduce the opportunity cost of industrial extension.
In a first aspect, the invention provides a financial guest group recommendation system, which comprises a retrieval module and a matching module which are connected with each other; the retrieval module is used for determining user retrieval requirements based on user operation; the matching module is used for matching the customer group information based on the retrieval requirements of the users so as to recommend the financial customer group based on the matching result.
In an alternative embodiment, the retrieval module comprises an area retrieval module, an industry retrieval module and an enterprise retrieval module; the area retrieval module is used for retrieving the area to which the industry guest group belongs based on first user operation; the industry retrieval module is used for retrieving the industry to which the industry client group belongs based on second user operation; and the enterprise retrieval module is used for retrieving the enterprise to which the industry client group belongs based on the operation of a third user.
In an alternative embodiment, each retrieval module corresponds to a plurality of tags; the tag is used for identifying the matching result.
In an alternative embodiment, the system further comprises: an information processing module; the information processing module is used for executing information processing operation on the matching result; the information processing operation comprises one or more of extraction filtering operation, screening sorting operation, updating and de-duplicating operation and adding, deleting and modifying operation.
In an alternative embodiment, the system further comprises: a marketing calculation engine; the marketing calculation engine is used for calculating marketing objects of the financial institution based on a pre-established database; the pre-established database at least comprises an entity library, a relation library, a label library, a characteristic library, an event library, a model library, a component library and a rule library.
In an optional embodiment, the finance customer group recommending system further comprises a display module; and the display module is used for displaying the matching result.
In a second aspect, the present invention provides a method for recommending a financial guest group, the method comprising: determining retrieval information based on the user input; and determining the recommendation information of the financial guest group based on the retrieval information.
In an alternative embodiment, the search information includes one or more of regional search information, industry search information, and enterprise search information; the step of determining the recommendation information of the financial guest group based on the retrieval information comprises the following steps: selecting one or more of regional retrieval information, industry retrieval information and enterprise retrieval information to combine, and determining matching information; and searching from a pre-established database based on the matching information to determine the recommendation information of the financial guest group.
In a third aspect, the present invention provides an electronic device comprising a processor and a memory; the memory stores a computer program which, when executed by the processor, performs the method of recommending a tenant as in any one of the preceding embodiments.
In a fourth aspect, the present invention provides a computer readable storage medium for storing computer software instructions for the recommendation method of the tenant financial group as in any one of the above embodiments.
The system is applied to a financial institution terminal and comprises a retrieval module and a matching module which are connected with each other, wherein the retrieval module is used for determining user retrieval requirements based on user operation, and the matching module is used for matching guest group information based on the retrieval requirements of the users so as to recommend financial guest groups based on matching results. The system provides the user with the search screening condition by setting the search module, and carries out guest group information matching on the user search requirement through the matching module, so that the financial institution can obtain the financial guest group recommendation obtained based on the matching result. The system can realize online intelligent user-defined retrieval and matching of regional industry passenger groups, greatly improve the industry research efficiency of financial institutions and reduce the opportunity cost of industry extension.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic structural diagram of a customer financial group recommendation system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a display module of a finance customer group recommendation system according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a specific customer financial group recommendation system according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a method for recommending a financial group of customers according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
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 and explained in subsequent figures.
In the description of the present invention, it should be noted that the terms "first", "second", "third", and the like are used only for distinguishing the description, and are not intended to indicate or imply relative importance.
For convenience of understanding, the financial customer group recommendation system provided in this embodiment is first described in detail, referring to a schematic structural diagram of a financial customer group recommendation system shown in fig. 1, the financial customer group recommendation system is mainly used for assisting a financial institution to perform online intelligent customized retrieval and matching on regional industry customer groups based on external big data, so that the industrial research efficiency of the financial institution is greatly improved, and the opportunity cost of industry customer extension is reduced.
In an embodiment, the system for recommending the financial guest group mainly comprises a retrieval module and a matching module which are connected with each other, wherein the retrieval module is used for determining user retrieval requirements based on user operations, and the user operations are operations for triggering the corresponding retrieval module by a user. The user retrieval requirement is determined by user triggering, for example, when a user needs to retrieve a financial customer group in a certain area, the user retrieval requirement corresponds to the area retrieval requirement; when a user needs to search a financial customer group in a certain industry, the user search requirement corresponds to an industry search requirement; when a user needs to search a certain enterprise, the user search requirement corresponds to the enterprise search requirement, which is only an example, and in actual application, other search requirements can be set according to specific situations.
It can be understood that, for accurate recommendation, multiple search requirements generally need to be considered comprehensively, so that a recommendation result meeting the multiple search requirements can be obtained. The matching module is used for matching the guest group information based on the retrieval requirement of the user, the guest group information can comprise one or more of regional information, industry information and enterprise information of an industrial guest group of a financial institution, and after the retrieval requirement of the user is determined, the guest group information is information corresponding to the retrieval requirement so as to facilitate financial guest group recommendation based on the matching result and obtain a final guest group recommendation result.
According to the financial customer group recommendation system provided by the embodiment of the invention, the retrieval module is arranged to provide the user with the retrieved screening condition, and the matching module is used for matching the customer group information with the user retrieval requirement, so that a financial institution can obtain the financial customer group recommendation obtained based on the matching result. The system can realize online intelligent user-defined retrieval and matching of regional industry passenger groups, greatly improve the industry research efficiency of financial institutions and reduce the opportunity cost of industry extension.
In one embodiment, the search module includes an area search module, an industry search module, and an enterprise search module, where the area search module is configured to search an area to which an industry guest group belongs based on a first user operation. And the industry retrieval module is used for retrieving the industry to which the industry client group belongs based on the second user operation. And the enterprise retrieval module is used for retrieving the enterprise to which the industry client group belongs based on the operation of a third user. It can be understood that the first user operation, the second user operation, and the third user operation are not sequentially distinguished, the user may perform the trigger operation according to the actual requirement, and each operation of the user may be one or more of the first user operation, the second user operation, and the third user operation.
Furthermore, each retrieval module corresponds to a plurality of labels, for example, for a regional retrieval module, the retrieval module can correspond to labels such as beijing, shanghai, guangzhou, shenzhen, etc., for an industry retrieval module, the retrieval module can correspond to industries such as farming, pasturing, chemical engineering, electronics, semiconductors, etc., for an enterprise retrieval module, the retrieval module can correspond to a real estate enterprise, an integrated circuit enterprise, a scientific and technological enterprise, etc., and the matching results are identified through the plurality of labels.
In one embodiment, the finance customer group recommending system can further comprise an information processing module, and the information processing module is used for performing information processing operation on the matching result so as to obtain accurate recommending information. The information processing operation can comprise one or more of extraction filtering operation, screening sorting operation, updating de-duplication operation and adding, deleting, modifying and checking operation, and each information processing operation is determined according to the retrieval requirement of the user and the triggering operation. For example, when the user triggers the area search module and the enterprise search module, and the search results both include a, the repeated search results a need to be updated and deduplicated.
In one embodiment, the finance customer group recommending system further comprises: the marketing calculation engine is also used for calculating (also called as a tool), the marketing calculation content is a marketing object of a financial institution, and the marketing object of the financial institution is calculated based on a pre-established database; the pre-established database at least comprises an entity library, a relation library, a label library, a characteristic library, an event library, a model library, a component library and a rule library.
After the matching result is obtained, in order to realize man-machine interaction and enable a user to visually obtain the matching result, the financial guest group recommendation system further comprises a display module, and the display module is used for displaying the matching result. In one embodiment, the presentation module may be as shown in fig. 2, which illustrates a presentation interface of a finance customer group recommendation system, and the presentation interface includes an industry retrieval module (i.e., industry screening in fig. 2), and an area retrieval module (i.e., regional distribution in fig. 2).
For easy understanding, the embodiment of the present invention further provides a specific recommendation system for a financial group, and referring to a schematic structural diagram of a specific recommendation system for a financial group shown in fig. 3, the system may use industries and areas as entries, and a user may perform combined screening (such as an industry label, an area label, an enterprise type label, and the like) through different labels (i.e., the above search modules), that is, may find a corresponding industry group in a self-defined manner according to a user requirement. In one implementation mode, the enterprise types and other labels concerned by the bank can be classified and displayed by a visual interface, so that the user-defined research and visual insight of the industry customer base are greatly facilitated, the marketing customer base is accurately inquired according to the retrieval result (namely the user inquiry result), and a corresponding marketing guidance strategy is drawn up in a targeted manner. By taking a financial institution as the banking industry as an example, each large bank can determine the recommended industry guest group through the financial guest group recommendation system provided by the embodiment and make corresponding marketing guidance policies for different industry guest groups, so that online intelligent user-defined retrieval and matching of the regional industry guest groups can be realized, the industrial research efficiency of the financial institution is greatly improved, and the opportunity cost of industry extension is reduced.
An embodiment of the present invention provides a recommendation method for a tenant group, and referring to a flowchart of the recommendation method for a tenant group shown in fig. 4, the method mainly includes the following steps S402 and S404:
step S402, determining retrieval information based on the user input. The user input is trigger information generated by triggering the retrieval module of the financial guest group recommendation system, the retrieval information is determined according to the user input, when the user triggers a plurality of retrieval modules, the user input is a plurality of inputs, the corresponding retrieval information is information obtained by processing the information input by the plurality of users, and the information processing process refers to the information processing module in the embodiment and is not repeated here.
And step S404, determining the recommendation information of the financial guest group based on the retrieval information.
In one embodiment, the retrieval information may include one or more of regional retrieval information, industry retrieval information and enterprise retrieval information, and when the retrieval information is determined, the retrieval information may be matched in a combined manner and extracted from a pre-established database so as to obtain the recommendation information of the financial customer group.
According to the financial guest group recommendation method provided by the embodiment of the invention, the retrieval information is determined through the user input, and the financial guest group recommendation information is further determined through the retrieval information, so that the online intelligent user-defined retrieval and matching of regional industry guest groups can be realized, the industry research efficiency of a financial institution is greatly improved, and the opportunity cost of industry extension is reduced.
The method provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiment, and for the sake of brief description, no part of the method embodiment is mentioned, and reference may be made to the corresponding contents in the system embodiment.
The embodiment of the invention provides a server, which particularly comprises a processor and a storage device; the storage means has stored thereon a computer program which, when executed by the processor, performs the method of any of the above described embodiments.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device 100 includes: the device comprises a processor 50, a memory 51, a bus 52 and a communication interface 53, wherein the processor 50, the communication interface 53 and the memory 51 are connected through the bus 52; the processor 50 is arranged to execute executable modules, such as computer programs, stored in the memory 51.
The Memory 51 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 53 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
The bus 52 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 5, but this does not indicate only one bus or one type of bus.
The memory 51 is used for storing a program, the processor 50 executes the program after receiving an execution instruction, and the method executed by the apparatus defined by the flow process disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 50, or implemented by the processor 50.
The processor 50 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 50. The Processor 50 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 51, and the processor 50 reads the information in the memory 51 and completes the steps of the method in combination with the hardware thereof.
The system and the method for recommending financial customer groups and the computer program product of the electronic device provided by the embodiments of the present invention include a computer-readable storage medium storing non-volatile program codes executable by a processor, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by the processor to perform the method described in the foregoing method embodiments.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the system described above may refer to the corresponding process in the foregoing embodiments, and is not described herein again.
The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, which is not described herein again.
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 computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes 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 invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The financial customer group recommendation system is characterized by comprising a retrieval module and a matching module which are connected with each other;
the retrieval module is used for determining user retrieval requirements based on user operation;
the matching module is used for matching the customer group information based on the retrieval requirements of the users so as to recommend the financial customer group based on the matching result.
2. The system of claim 1, wherein the search module comprises an area search module, an industry search module, and an enterprise search module;
wherein,
the area retrieval module is used for retrieving the area to which the industry guest group belongs based on first user operation;
the industry retrieval module is used for retrieving the industry to which the industry client group belongs based on second user operation;
the enterprise retrieval module is used for retrieving the enterprise to which the industry guest group belongs based on the operation of a third user.
3. The system of claim 2, wherein each of the plurality of search modules corresponds to a plurality of tags; the label is used for identifying the matching result.
4. The system of claim 1, further comprising: an information processing module;
the information processing module is used for executing information processing operation on the matching result; the information processing operation comprises one or more of extraction filtering operation, screening sorting operation, updating and de-duplicating operation and adding, deleting and modifying checking operation.
5. The system of claim 1, further comprising: a marketing calculation engine;
the marketing calculation engine is used for calculating marketing objects of the financial institution based on a pre-established database; the pre-established database at least comprises an entity library, a relation library, a label library, a characteristic library, an event library, a model library, a component library and a rule library.
6. The system of claim 1, further comprising a presentation module;
the display module is used for displaying the matching result.
7. A financial guest group recommendation method, the method comprising:
determining retrieval information based on the user input;
and determining recommendation information of the financial guest group based on the retrieval information.
8. The customer financial group recommendation method according to claim 7, wherein the search information includes one or more of regional search information, industry search information, and business search information; the step of determining the recommendation information of the financial guest group based on the retrieval information comprises the following steps:
selecting one or more of the regional retrieval information, the industry retrieval information and the enterprise retrieval information to be combined, and determining matching information;
and searching from a pre-established database based on the matching information to determine the recommendation information of the financial guest group.
9. An electronic device comprising a processor and a memory;
the memory has stored thereon a computer program which, when executed by the processor, performs the financial guest group recommendation method of any one of claims 7 to 8.
10. A computer readable storage medium storing computer software instructions for a method of recommending a financial group of customers as claimed in any one of claims 7 to 8.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110119466A (en) * | 2019-03-29 | 2019-08-13 | 五渡(杭州)科技有限责任公司 | A kind of big data intelligent marketing system and method |
| CN110968790A (en) * | 2019-12-19 | 2020-04-07 | 苏州朗动网络科技有限公司 | Latent customer intelligent recommendation method, device and storage medium based on big data |
| CN111177549A (en) * | 2019-12-25 | 2020-05-19 | 杭州龙席网络科技股份有限公司 | Client recommendation method suitable for export-type cross-border trade |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110119466A (en) * | 2019-03-29 | 2019-08-13 | 五渡(杭州)科技有限责任公司 | A kind of big data intelligent marketing system and method |
| CN110968790A (en) * | 2019-12-19 | 2020-04-07 | 苏州朗动网络科技有限公司 | Latent customer intelligent recommendation method, device and storage medium based on big data |
| CN111177549A (en) * | 2019-12-25 | 2020-05-19 | 杭州龙席网络科技股份有限公司 | Client recommendation method suitable for export-type cross-border trade |
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