CN115511470A - Evaluation index data generation method, evaluation index data generation device, electronic device, and storage medium - Google Patents
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Abstract
The application discloses an evaluation index data generation method and device, electronic equipment and a storage medium. The method specifically comprises the following steps: acquiring historical service information and a preset index operation set of a user; determining an evaluation index data item of a user according to historical service information; constructing an evaluation index program according to the evaluation index data item and a preset index operation set; and inputting the historical service information into an evaluation index program to generate evaluation index data. The technical scheme of the embodiment of the application can be beneficial to the rapid iterative optimization of the evaluation index, the business development requirement of the server is further met, the flexibility and the high efficiency of the generation of the evaluation index data can be improved by adjusting the construction rule, and the working efficiency of the server is improved.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to an evaluation index data generation method and apparatus, an electronic device, and a storage medium.
Background
In the current internet era, with continuous development and improvement of technologies, more and more industrial and commercial businesses begin to use the internet of things technology to process business data, especially to evaluate whether a user has qualification for participating in a certain business, and the execution efficiency of the business can be improved by judging in an automatic manner.
Currently, a manual review mode is generally adopted for evaluating whether a user has business participation qualification, and reviewers can evaluate the user participation qualification according to historical records of the user participating in various businesses, but the evaluation efficiency of the manual review is low, and the evaluation cannot meet the industry requirements at the present stage.
Disclosure of Invention
The application provides an evaluation index data generation method and device, electronic equipment and a storage medium, so as to improve the efficiency of evaluating whether a user has business qualification.
According to an aspect of the present application, there is provided an evaluation index data generation method including:
acquiring historical service information and a preset index operation set of a user;
determining an evaluation index data item of a user according to historical service information;
constructing an evaluation index program according to the evaluation index data item and a preset index operation set;
and inputting the historical service information into an evaluation index program to generate evaluation index data.
According to another aspect of the present application, there is provided an evaluation index data generation device including:
the information acquisition module is used for acquiring historical service information and a preset index operation set of a user;
the data item determining module is used for determining an evaluation index data item of the user according to the historical service information;
the program construction module is used for constructing an evaluation index program according to the evaluation index data item and a preset index operation set;
and the data generation module is used for inputting the historical service information into an evaluation index program to generate evaluation index data.
According to another aspect of the present application, there is provided an electronic device including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the evaluation index data generation method according to any one of the embodiments of the present application.
According to another aspect of the present application, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the evaluation index data generation method according to any one of the embodiments of the present application when the computer instructions are executed.
According to the technical scheme of the embodiment of the application, the evaluation index data item is determined through the historical service data of the user, and an evaluation index program is constructed according to the evaluation index data item and the preset index operation set, so that the evaluation index data is generated according to the credit condition of the user. The method has the advantages that the method is beneficial to the rapid iterative optimization of the evaluation index, the business development requirement of the service party is further met, the flexibility and the efficiency of the generation of the evaluation index data can be improved by adjusting the construction rule, and the working efficiency of the service party is improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present application, nor do they limit the scope of the present application. Other features of the present application will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of an evaluation index data generation method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an evaluation index data generation device according to a second embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device that implements the evaluation index data generation method according to the embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of an evaluation index data generation method provided in an embodiment of the present application, where the embodiment is applicable to a specific situation, and the method may be executed by an evaluation index data generation device, where the evaluation index data generation device may be implemented in a form of hardware and/or software, and the evaluation index data generation device may be configured in an electronic device. As shown in fig. 1, the method includes:
and S110, acquiring historical service information and a preset index operation set of the user.
The historical business information of the user may be a participation record of each service provided by the user participating in the service party or a usage record of each product provided by the service party, such as business record information left when the user transacts business at a bank (corresponding to the service party). The preset index operation set may be a set of preset operation modes for different index data, and may be any operation mode or combination of addition, subtraction, multiplication, division, square, remainder, larger, smaller, and unequal. Of course, the preset index operation set may be set by a relevant technician according to an actual situation or manual experience, which is not limited in the embodiment of the present application. The index data can be various indexes and data thereof fed back by using services or products of a service party, taking loan as an example, a user transacts loan at a bank, wherein a repayment record can correspond to historical service information, and specific repayment date, repayment amount, repayment frequency and the like in the repayment record can be recorded as index data. Because the historical business information and the preset index operation set can be stored in a local database or a cloud end of a server, the historical business information and the preset index operation set can be obtained by directly calling the historical business information and the preset index operation set through the local database or the cloud end.
And S120, determining an evaluation index data item of the user according to the historical service information.
The evaluation index data item may be an index for evaluating the credit condition of the user. And determining data for embodying the credit condition of the user in the service or product in which the server participates in the past historical time of the user according to the historical service information of the user. For example, the bank inquires the payment condition of the user in the historical loan information of the user, and determines an index item for evaluating the credit (or called credit investigation) of the user and corresponding data thereof according to the payment condition of the user.
In an alternative embodiment, the determining, according to the historical service information, an evaluation index data item of the user may include: constructing a data item structure tree according to historical business information; and determining the evaluation index data item according to the data item structure tree, and performing graphic rendering and display through a human-computer interaction interface.
The data item structure tree may be used to rearrange the tree structure of the historical service information, so as to obtain clear relationships between each index and data thereof, and these relationships may affect the judgment of the user credit. Of course, the data item structure tree may be constructed by using any tree structure construction algorithm in the prior art, which is not limited in this embodiment of the present application. And extracting evaluation index data items from the constructed data structure tree, for example, screening and extracting the evaluation index data items according to different users or different services by a machine learning model trained in advance, rendering the evaluation index data items in a preset mode, and outputting the rendered evaluation index data items to a human-computer interaction interface for display of technicians.
And S130, constructing an evaluation index program according to the evaluation index data item and the preset index operation set.
The evaluation index program may be a program for evaluating the credit or credit investigation of the user. The evaluation index data items are equivalent to basic data of credit evaluation, the preset index operation set is equivalent to a calculation mode for performing credit evaluation, and the calculation logic of the credit evaluation is determined through the evaluation index data items and the preset index operation set, so that an evaluation index program is constructed. Of course, the method for constructing the evaluation index program may employ any one of the construction algorithms and machine learning models in the prior art.
In an optional implementation manner, the constructing an evaluation index program according to the evaluation index data item and the preset index operation set may include: acquiring a graph dragging operation of an evaluation index data item and a preset index operation set in a human-computer interaction interface; determining a construction rule of an evaluation index program according to the graph dragging operation; and constructing an evaluation index program according to the construction rule.
Because the evaluation index data items, the preset index operation set and the like can be rendered into graphs for display through the human-computer interaction interface, technicians can select or drag the graphs. And acquiring graph dragging operation, and combining the evaluation index data item and a preset index operation set so as to determine a construction rule of an evaluation index program. An evaluation index program is generated according to the combined construction rules.
Further, the constructing an evaluation index program according to the construction rule may include: mapping the construction rule to a preset machining program object; and constructing an evaluation index program according to the mapped machining program object.
The machining program object may be a virtual object that is set in advance to perform program machining and construct a complete evaluation index program. The already generated construction rules are mapped to these machining program objects to construct an evaluation index program. The method for mapping and constructing the evaluation index program may be any program automatic construction algorithm or machine learning model in the prior art, and may be, for example, a reflection mechanism adopting JAVA.
Optionally, after the evaluation index program is constructed, the method may further include: acquiring test data, and inputting the test data into an evaluation index program for testing; correcting the construction rule according to the test result; and updating the evaluation index program according to the modified construction rule.
The test data may be user data (which may be real or manually set) prepared in advance for testing the evaluation index program. It can be understood that after the test data is input into the evaluation index program, corresponding evaluation results can be obtained, and the evaluation results can reflect the credit condition of the user. However, since the test data is prepared in advance by the technician, the technician knows the user credit corresponding to the test data. If the test result has deviation, the technician can manually correct the deviation, modify the construction rule of the evaluation index program or directly modify the evaluation index program. And regenerating the modified rule into an evaluation index program or updating the evaluation index program after modifying the program so as to correct the bugs appearing in the program. Or, a machine learning model can be trained in advance, and the evaluation index program can be automatically corrected by comparing the test data with the user credit condition corresponding to the test result.
140. And inputting the historical service information into an evaluation index program to generate evaluation index data.
And inputting the historical service information of the user into the constructed and corrected evaluation index program, thereby calculating evaluation index data for reflecting the credit condition (or credit investigation) of the user.
Illustratively, after the evaluation index program is constructed and generated, a technician can observe the generation state of the evaluation index program in real time through a human-computer interaction interface, and input a test credit investigation message (equivalent to test data) to obtain a test result and compare the test result with an expected value of an original message, so as to assist in modifying the construction rule of the evaluation index program, verify the test data from the newly generated evaluation index program, and after the verification is successful, the verification can be performed at least once by a manual or pre-trained machine learning model, and after the verification is passed, the evaluation index (such as a credit investigation index) can be issued and used. For example, a product side of a bank may apply a new index to a product by configuring the new index and a new admission rule, where the new index may be a data item used for evaluating a credit investigation situation of a user, such as the number of times that the user continuously disobeys payment.
According to the technical scheme of the embodiment of the application, the evaluation index data item is determined through the historical service data of the user, and an evaluation index program is constructed according to the evaluation index data item and the preset index operation set, so that the evaluation index data is generated according to the credit condition of the user. The method has the advantages that the method can be beneficial to the rapid iterative optimization of the evaluation indexes, the business development requirement of the service party is further met, the flexibility and the high efficiency of the generation of the evaluation index data can be improved by adjusting the construction rules, and the working efficiency of the service party is improved.
Example two
Fig. 2 is a schematic structural diagram of an evaluation index data generation device according to a second embodiment of the present application. As shown in fig. 2, the evaluation index data generation device 200 includes:
an information obtaining module 210, configured to obtain historical service information and a preset index operation set of a user;
a data item determining module 220, configured to determine an evaluation index data item of the user according to the historical service information;
the program construction module 230 is configured to construct an evaluation index program according to the evaluation index data item and the preset index operation set;
and a data generating module 240, configured to input the historical service information into an evaluation index program, and generate evaluation index data.
According to the technical scheme, the evaluation index data item is determined through the historical business data of the user, and an evaluation index program is constructed according to the evaluation index data item and the preset index operation set, so that the evaluation index data is generated according to the credit condition of the user. The method has the advantages that the method can be beneficial to the rapid iterative optimization of the evaluation indexes, the business development requirement of the service party is further met, the flexibility and the high efficiency of the generation of the evaluation index data can be improved by adjusting the construction rules, and the working efficiency of the service party is improved.
In an alternative embodiment, the data item determination module may include:
the structure tree construction unit is used for constructing a data item structure tree according to the historical service information;
and the rendering display unit is used for determining the evaluation index data item according to the data item structure tree and performing graphic rendering and display through a human-computer interaction interface.
In an alternative embodiment, the program building module may include:
the operation acquisition unit is used for acquiring the graph dragging operation of an evaluation index data item and a preset index operation set in the human-computer interaction interface;
the construction rule determining unit is used for determining a construction rule of the evaluation index program according to the graph dragging operation;
and the program construction unit is used for constructing the evaluation index program according to the construction rule.
In an alternative embodiment, the program building unit may comprise:
the object mapping subunit is used for mapping the construction rule to a preset processing program object;
and the program construction subunit is used for constructing an evaluation index program according to the mapped processing program object.
In an optional implementation, the evaluation index data generation apparatus 200 may further include:
the test data acquisition module is used for acquiring test data and inputting the test data into an evaluation index program for testing;
the rule correction module is used for correcting the construction rule according to the test result;
and the program updating module is used for updating the evaluation index program according to the modified construction rule.
The evaluation index data generation device provided by the embodiment of the application can execute the evaluation index data generation method provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects for executing each evaluation index data generation method.
It should be added that, in the technical solution of the present application, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the historical service information of the related user all meet the regulations of the relevant laws and regulations, and do not violate the good customs of the public order.
EXAMPLE III
FIG. 3 shows a schematic structural diagram of an electronic device 10 that may be used to implement embodiments of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 may also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
In some embodiments, the evaluation index data generation method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the evaluation index data generation method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the evaluation index data generation method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of this application, a computer readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solution of the present application can be achieved, and the present invention is not limited thereto.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. An evaluation index data generation method, characterized by comprising:
acquiring historical service information and a preset index operation set of a user;
determining an evaluation index data item of the user according to the historical service information;
establishing an evaluation index program according to the evaluation index data item and the preset index operation set;
and inputting the historical service information into the evaluation index program to generate evaluation index data.
2. The method according to claim 1, wherein the determining an evaluation index data item of the user according to the historical service information comprises:
constructing a data item structure tree according to the historical service information;
and determining the evaluation index data item according to the data item structure tree, and performing graphic rendering and display through a human-computer interaction interface.
3. The method according to claim 2, wherein constructing an evaluation index program according to the evaluation index data item and the preset index operation set comprises:
acquiring a graph dragging operation of the evaluation index data item and the preset index operation set in the human-computer interaction interface;
determining a construction rule of the evaluation index program according to the graph dragging operation;
and constructing the evaluation index program according to the construction rule.
4. The method according to claim 3, wherein the building the evaluation index program according to the building rule includes:
mapping the construction rule to a preset machining program object;
and constructing the evaluation index program according to the mapped machining program object.
5. The method according to claim 3, further comprising, after said constructing the evaluation index program:
acquiring test data, and inputting the test data into the evaluation index program for testing;
correcting the construction rule according to the test result;
and updating the evaluation index program according to the modified construction rule.
6. An evaluation index data generation device, comprising:
the information acquisition module is used for acquiring historical service information and a preset index operation set of a user;
the data item determining module is used for determining an evaluation index data item of the user according to the historical service information;
the program construction module is used for constructing an evaluation index program according to the evaluation index data item and the preset index operation set;
and the data generation module is used for inputting the historical service information into the evaluation index program to generate evaluation index data.
7. The apparatus of claim 6, wherein the data item determination module comprises:
the structure tree construction unit is used for constructing a data item structure tree according to the historical service information;
and the rendering and displaying unit is used for determining the evaluation index data item according to the data item structure tree and performing graphic rendering and displaying through a human-computer interaction interface.
8. The apparatus of claim 7, wherein the program building module comprises:
the operation acquisition unit is used for acquiring the graph dragging operation of the evaluation index data item and the preset index operation set in the human-computer interaction interface;
a construction rule determining unit configured to determine a construction rule of the evaluation index program according to the graph drag operation;
and the program construction unit is used for constructing the evaluation index program according to the construction rule.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the evaluation index data generation method of any one of claims 1 to 5.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions for causing a processor to implement the evaluation index data generation method of any one of claims 1 to 5 when executed.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211271779.1A CN115511470A (en) | 2022-10-18 | 2022-10-18 | Evaluation index data generation method, evaluation index data generation device, electronic device, and storage medium |
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