CN112508685A - Enterprise credit investigation information-based labeling method and system - Google Patents
Enterprise credit investigation information-based labeling method and system Download PDFInfo
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Abstract
The invention discloses a labeling method and system based on enterprise credit investigation information. A labeling method based on enterprise credit investigation information comprises the following steps: acquiring system data in a credit investigation system, wherein the system data comprises credit investigation data and system basic data; classifying and grading according to different credit investigation data to generate a credit investigation basic label; generating a behavior basic label according to the information carried by the user in the system basic data and the operation which can be carried out; generating a high-level label based on the credit investigation basic label and the behavior basic label; and according to credit investigation data and system basic data of the user, giving the corresponding credit investigation basic label and behavior basic label to the user, judging whether the credit investigation basic label and the behavior basic label owned by the user meet preset conditions, and if so, giving a high-grade label to the user. The invention supports manual and automatic label adding, reduces the labor load and ensures the precision of the label.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a system for marking labels based on enterprise credit investigation information.
Background
With the rapid development of computer technology and communication technology, people can obtain more and more data, but also need to invest more time to organize and arrange the data, and the data needs to be labeled on the premise of organizing and arranging the data, so that the data with different labels can be organized, arranged and applied later. The credit investigation and the data have natural connection, and the credit investigation service is spread around the data. With the development of times, credit investigation of big data becomes 'gold mine', and 'mining' of the gold mine is beneficial to the construction of a modern economic system and the improvement of the modernization level of national governance.
At present, due to specialization of credit investigation data, a common label configuration mode cannot be adopted for the credit investigation data. The existing credit investigation label configuration mode has the following defects: (1) due to the diversification of credit investigation data, a standardized tag library does not exist; (2) at present, credit investigation is in a starting stage, and massive users and data are not used for supporting, so that the precision of a label is ensured; (3) the labels generated by means of user operation are too broad, resulting in some of the labels being less accurate; (4) manually assigning tags, while solving the problem of tag accuracy to some extent, is not a mainstream choice due to inevitable contingency and increasing amounts of users and data from manual operations. And because of the particularity of the credit investigation data, the intermediate operation adds a step of manual work, which also increases the risk for the security and confidentiality of the data.
Disclosure of Invention
In order to solve the technical problem, the invention provides a labeling method and system based on enterprise credit investigation information.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a labeling method based on enterprise credit investigation information comprises the following steps:
acquiring system data in a credit investigation system, wherein the system data comprises credit investigation data and system basic data;
classifying and grading according to credit investigation data to generate a corresponding credit investigation basic label; generating a corresponding behavior basic label according to information which is input and checked by a user in the basic data of the system and the operation which can be carried out;
acquiring credit investigation data and system basic data of a user, and giving corresponding credit investigation basic labels and behavior basic labels to the user;
and judging whether the credit investigation basic label and the behavior basic label owned by the user meet the preset conditions or not, and if so, giving the advanced label to the user.
Preferably, the category of the credit investigation data includes enterprise basic information, social security public deposit payment information, operation information, financial institution financing information, mortgage and sealing information, complaint information, negative information, enterprise qualification authentication information, and important index history information.
Preferably, the information which is input and checked by the user in the basic data of the system comprises enterprise scale, enterprise operation condition, enterprise profit condition and enterprise loan and integration condition; the operation that can be carried out comprises checking the frequency of different types of loans, applying for loan-merging situations and releasing demand situations in the system.
Preferably, the credit investigation basic labels and the behavior basic labels which are owned meet the preset conditions, and the number of the credit investigation basic labels and the behavior basic labels which are owned by the user respectively reaches the corresponding preset threshold values.
Preferably, the credit basic label, and/or the behavior basic label, and/or the advanced label can be manually assigned to the user.
Preferably, the method further comprises the following steps,
integrating the credit basic label, the behavior basic label and the advanced label to form a credit investigation label database;
and updating the credit basic label, the behavior basic label and the advanced label corresponding to the user in the credit system in real time based on the credit investigation label database.
A labeling system based on enterprise credit investigation information comprises: an acquisition module, a generation module, a synthesis module and a matching module, wherein,
the acquisition module is used for acquiring system data in the credit investigation system, wherein the system data comprises credit investigation number
According to the system basic data;
the generation module is used for classifying and grading according to different credit investigation data to generate credit investigation basic labels; for entering and checking the passing information according to the user in the basic data of the system and what can be done
Operating to generate a behavior base label;
the synthesis module is used for generating an advanced label from the credit investigation basic label and the behavior basic label, and integrating the credit investigation basic label, the behavior basic label and the advanced label to form a credit investigation label database;
the matching module comprises a basic matching module and an advanced matching module, wherein,
the basic matching module is used for endowing corresponding credit investigation basic labels and behavior basic labels to the user according to credit investigation data and system basic data of the user;
and the advanced matching module is used for judging whether the credit investigation basic label and the behavior basic label owned by the user meet the preset conditions or not, and if so, giving the advanced label to the user.
Preferably, the credit investigation basic labels and the behavior basic labels which are owned meet the preset conditions, and the number of the credit investigation basic labels and the behavior basic labels which are owned by the user respectively reaches the corresponding preset threshold values.
Preferably, the system further comprises a manual module for manually endowing the credit investigation basic label, the behavior basic label and/or the advanced label to the user.
Preferably, the credit investigation system further comprises an updating module for updating the relevant system data of the credit investigation system in real time based on the credit investigation label database.
Based on the technical scheme, the invention has the beneficial effects that:
1) the automatic label endowing reduces the burden of manual operation, reduces the inevitable error caused by the manual operation, and is suitable for the condition that the current enterprise amount and data amount are increased day by day;
2) adding manual added labels and endowing labels, so that a label library is more complete, and the problems of label input and endowing without data sources are solved;
3) although manual operation is supported, the manual operation is only established between the tag and the application system, so that the risk of credit investigation leakage is reduced;
4) and the user access limit is set according to the label, so that for the supplier, the quality of the client is ensured, and for the client, unnecessary access, application and communication are reduced. The resources of all parties are greatly saved;
5) the credit investigation data is fed back to another system through the label, and meanwhile, the other system returns various data of the user to the credit investigation system through the use of the label, so that data interaction is achieved, and the credit investigation data and the system data are continuously updated and perfected.
Drawings
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
FIG. 1: a flow chart of a labeling method based on enterprise credit investigation information is provided.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Example one
As shown in fig. 1, the invention relates to a label printing method based on enterprise credit investigation information, which comprises the steps of firstly accessing a credit investigation system into the system of the application, then generating a basic label according to credit investigation data and system basic data, and giving a corresponding label rule; setting a high-level label based on the basic label; after the label setting is finished, the user or other objects are matched, and then the label data owned by the objects are fed back to the credit investigation system to form information interaction, and the information interaction is continuously completed in the interaction process. The method specifically comprises the following steps:
acquiring system data in a credit investigation system, wherein the system data comprises credit investigation data and system basic data;
firstly, preparing a base tag, wherein the base tag can be generated through data storage of different data sources and simple buried point capture, as follows:
1) dividing credit investigation data into categories such as enterprise basic information, social security public deposit payment information, operation information, financial institution financing information, mortgage and check information, complaint information, negative information, enterprise qualification authentication information, important index historical information and the like, and then generating a corresponding credit investigation basic label according to different types, ownership, amount payment degree and amount payment scale of various information, wherein the specific operation is to set a label value field, the setting is carried out according to different values or sizes of the value field, and the label rule is that the label rule accords with the value field condition;
2) according to the information carried by the user in the basic data of the system and the operation which can be carried out, namely according to the information of the enterprise scale, the enterprise operation condition, the enterprise profit condition, the enterprise loan fusion condition and the like which are input and checked by the user and the operation of checking the frequency degree of loans of different types, the application loan fusion condition, the release demand condition and the like in the system, a corresponding behavior basic label is generated, the specific operation is to set a label value field (according to system logs or object information stored in the system), the setting is carried out according to the operation times of the object or a specific field value of the object, and the label rule is that the operation times are reached or the specific field value is met.
Secondly, configuring an advanced label: the advanced label generates a series of judgments through SQL sentences, meets the judgment and is endowed, and compared with the basic label, the advanced label is more diverse as follows:
when a certain type of operation of a user reaches a certain proportion, or meets or does not meet the conditions of several basic labels at the same time, corresponding advanced labels are given, namely the advanced labels are combined by a plurality of different basic labels, and when the user meets the basic labels required by the combination of the advanced labels, the user can be given the advanced labels. The advanced label is convenient for users and administrators to distinguish various label objects, and can simplify the application rule of the label, the operation can be performed only by setting and satisfying a plurality of basic labels, and only one advanced label needs to be set.
Embedding points on each page which can be operated by a user, and capturing the operation times of the user to reach a set value through the embedded points; searching data generated by the user in the database through the operation, distinguishing the data type, and judging whether the data reaches a set degree according to the type; and when the operation times reach a set value, the set type in the generated data type reaches a set degree, user operation is collected, and when the collected user operation meets the buried point set by the preset condition, a corresponding basic label can be given. The embedded points and the database storage data are combined, the basic labels owned by the users meet one order of magnitude, namely, corresponding advanced labels are given under the condition that the basic labels owned by the users meet preset conditions. For example, when the user meets the three basic labels of 'less than 5 years' of operation, 'science and technology industry' of registration industry and 'less than 500 ten thousand' of operation scale, a high-grade label 'novel small micro-technology enterprise' can be given; and (4) evaluating the earning, scale and profit conditions of the enterprise according to the information such as tax, water, electricity and gas, loan, financing, debt and the like in the credit investigation information.
The basic label and the advanced label of the user in the system are compared with the credit investigation data of the user, the credit investigation data of the user are continuously updated and perfected to form a credit investigation label database, and the relevant system data of the credit investigation system are updated in real time based on the credit investigation label database and fed back, so that the labels are more diversified and more accord with the actual situation.
A labeling system based on enterprise credit investigation information comprises: an acquisition module, a generation module, a synthesis module and a matching module, wherein,
the acquisition module is used for acquiring system data in the credit investigation system, and the system data comprises credit investigation data and a system
Basic data;
the generation module is used for classifying and grading according to different credit investigation data to generate a credit investigation basic label;
the behavior basic label is generated according to the information which is input and checked by the user in the basic data of the system and the operation which can be carried out;
the synthesis module is used for generating an advanced label from the credit investigation basic label and the behavior basic label, and integrating the credit investigation basic label, the behavior basic label and the advanced label to form a credit investigation label database;
a matching module comprising a base matching module and an advanced matching module, wherein,
the basic matching module is used for endowing corresponding credit investigation basic labels and behavior basic labels to the user according to credit investigation data and system basic data of the user;
and the advanced matching module is used for judging whether the credit investigation basic label and the behavior basic label owned by the user meet the preset conditions or not, and if so, giving the advanced label to the user.
Further, the credit investigation basic labels and the behavior basic labels meet preset conditions, and the number of the credit investigation basic labels and the behavior basic labels owned by the user respectively reaches corresponding preset threshold values.
Further, a manual module is included for manually assigning the credit investigation basic label, and/or the behavior basic label, and/or the advanced label to the user.
And further, the system also comprises an updating module which is used for updating the related system data of the credit investigation system in real time based on the credit investigation label database.
The above description is only a preferred embodiment of the labeling method and system based on the enterprise credit investigation information disclosed in the present invention, and is not intended to limit the scope of protection of the embodiments of the present description. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the embodiments of the present disclosure should be included in the protection scope of the embodiments of the present disclosure.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present specification are all described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Claims (10)
1. A labeling method based on enterprise credit investigation information is characterized by comprising the following steps:
acquiring system data in a credit investigation system, wherein the system data comprises credit investigation data and system basic data; classifying and grading according to credit investigation data to generate a corresponding credit investigation basic label; generating a corresponding behavior basic label according to information which is input and checked by a user in the basic data of the system and the operation which can be carried out;
acquiring credit investigation data and system basic data of a user, and giving corresponding credit investigation basic labels and behavior basic labels to the user;
and judging whether the credit investigation basic label and the behavior basic label owned by the user meet the preset conditions or not, and if so, giving the advanced label to the user.
2. The labeling method based on enterprise credit investigation information as claimed in claim 1, wherein the category of the credit investigation data includes enterprise basic information, social security public deposit payment information, business information, financial institution financing information, mortgage and sealing information, complaint information, negative information, enterprise qualification certification information, and important index history information.
3. The labeling method based on the enterprise credit investigation information as claimed in claim 1, wherein the information which is input and checked by the user in the system basic data comprises enterprise scale, enterprise operation condition, enterprise profit condition and enterprise loan and integration condition; the operation that can be carried out comprises checking the frequency of different types of loans, applying for loan-merging situations and releasing demand situations in the system.
4. The enterprise credit investigation information-based labeling method according to claim 1, wherein the number of credit investigation basic labels and behavior basic labels that are owned meets preset conditions is that the number of the credit investigation basic labels and the number of the behavior basic labels that are owned by a user respectively reach corresponding preset thresholds.
5. The method for tagging the credit investigation information of the enterprise as claimed in claim 1, further comprising the step of manually assigning a credit investigation basis tag, and/or a behavior basis tag, and/or a high-level tag to the user.
6. The method of claim 1, further comprising the step of,
integrating the credit basic label, the behavior basic label and the advanced label to form a credit investigation label database; and updating the credit basic label, the behavior basic label and the advanced label corresponding to the user in the credit system in real time based on the credit investigation label database.
7. A labeling system based on enterprise credit investigation information is characterized by comprising: an acquisition module, a generation module, a synthesis module and a matching module, wherein,
the acquisition module is used for acquiring system data in the credit investigation system, wherein the system data comprises credit investigation data and system basic data;
the generation module is used for classifying and grading according to different credit investigation data to generate credit investigation basic labels; the behavior basic label is generated according to the self-carried information and the possible operation of each user in the system basic data;
the synthesis module is used for generating an advanced label from the credit investigation basic label and the behavior basic label, and integrating the credit investigation basic label, the behavior basic label and the advanced label to form a credit investigation label database; the matching module comprises a basic matching module and an advanced matching module, wherein,
the basic matching module is used for endowing corresponding credit investigation basic labels and behavior basic labels to the user according to credit investigation data and system basic data of the user;
and the advanced matching module is used for judging whether the credit investigation basic label and the behavior basic label owned by the user meet the preset conditions or not, and if so, giving the advanced label to the user.
8. The system of claim 7, wherein the credit investigation basis labels and the behavior basis labels that are owned meet preset conditions, and the number of the credit investigation basis labels and the behavior basis labels that are owned by the user respectively reaches corresponding preset thresholds.
9. The system of claim 7, further comprising a manual module for manually assigning credit investigation basis labels, behavior basis labels, and/or advanced labels to users.
10. The system of claim 7, further comprising an updating module for updating the relevant system data of the credit investigation system in real time based on the credit investigation label database.
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