CN115439033A - Risk user screening method and device based on social security data and computing equipment - Google Patents
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Abstract
The invention discloses a risk user screening method, a risk user screening device and a computing device based on social security data, wherein the risk user screening method comprises the steps of obtaining a plurality of risk user types; determining risk index information corresponding to each risk user type; the method comprises the steps that one risk user type corresponds to one risk index information, and each risk index information comprises a plurality of risk index sub-information; acquiring user screening models respectively corresponding to various risk user types; one risk user type corresponds to one user screening model, and one risk index information corresponds to one user screening model; each user screening model comprises a plurality of user screening submodels, and the user screening submodels in the user screening models correspond to the risk index submodels in the corresponding risk index information one by one; and inputting the social security data into each user screening model to obtain risk user information respectively corresponding to each user screening model. The method and the system can improve the auditing efficiency of the risk users.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a risk user screening method and device based on social security data and computing equipment.
Background
With the increasing perfection of the social security system, the number of insured persons is increased, and the number of risk insured persons is increased. For example, after some insurance participants are removed, the insurance participants are not logged off in time to form risk insurance participants, or some risk insurance participants cheat social insurance funds maliciously exist. At present, risk auditing is usually performed on the personnel participating in the insurance in a manual mode, and because the quantity of the personnel participating in the insurance is huge, the efficiency of the auditing is very low by performing the risk auditing on massive personnel participating in the insurance in a manual mode.
Disclosure of Invention
The embodiment of the invention provides a risk user screening method, a risk user screening device and computing equipment based on social security data, which can screen and obtain risk user information from the social security data based on a plurality of user screening models corresponding to different risk user types, so that the auditing efficiency of risk users is improved.
According to one aspect of the embodiment of the invention, a risk user screening method based on social security data is provided, and comprises the following steps:
acquiring a plurality of risk user types;
determining risk index information corresponding to each risk user type; the method comprises the steps that one risk user type corresponds to one risk index information, and each risk index information comprises a plurality of risk index sub-information;
acquiring user screening models respectively corresponding to the types of the risk users; one risk user type corresponds to one user screening model, and one risk index information corresponds to one user screening model; each user screening model comprises a plurality of user screening submodels, and the user screening submodels in the user screening models correspond to the risk index submodels in the corresponding risk index information one by one;
inputting the social security data into each user screening model to obtain risk user information corresponding to each user screening model; the social security data comprises a plurality of user information.
As an optional implementation manner, the types of the user filtering sub-model at least include a database type, a search type, and an interface type, and the types of the risk indicator sub-information at least include a database statement type, a complex text type, and a single text type, where:
the risk index sub-information of the database statement type corresponds to the user screening sub-model of the database type; the risk index sub-information of the complex text type corresponds to the user screening sub-model of the search type; and the risk index sub-information of the single text type corresponds to the user screening sub-model of the interface type.
As an optional implementation manner, after obtaining the user screening models respectively corresponding to the risk user types, the method further includes:
acquiring the target type of each user screening submodel;
if the target type does not comprise the interface type, social security data corresponding to the target type is obtained from a social security database; and executing the step of inputting the social security data into each user screening model to obtain the risk user information corresponding to each user screening model.
As an optional implementation manner, if the target type includes the interface type, the method further includes:
acquiring an external platform identification corresponding to the user screening submodel of the interface type;
acquiring external social security data corresponding to the interface type from an external platform corresponding to the external platform identifier;
obtaining social security data corresponding to target types except the interface type from the social security database;
and determining the external social security data and the social security data as the social security data together, and executing the step of inputting the social security data into each user screening model to obtain risk user information respectively corresponding to each user screening model.
As an optional implementation manner, the inputting social security data into each user screening model to obtain risk user information corresponding to each user screening model includes:
sequentially inputting the social security data into each user screening model to obtain screening results of each user screening submodel; the screening result represents target user information matched with the risk index sub-information corresponding to the user screening sub-model;
and analyzing the screening results of the user screening submodels to obtain risk user information corresponding to the user screening submodels respectively.
As an optional implementation manner, after obtaining the risk user information respectively corresponding to each of the user screening models, the method further includes:
analyzing the risk user information to obtain loss information and processing information corresponding to the risk user information; wherein, the processing information at least comprises a processing mechanism identifier;
and distributing the loss information and the processing information corresponding to the risk user information to the processing mechanism terminal equipment corresponding to the processing mechanism identification, so that the processing mechanism terminal equipment determines a risk user processing mode and a risk user generation reason according to the loss information and the processing information corresponding to the risk user information.
According to another aspect of the embodiments of the present invention, there is also provided a risk user screening apparatus based on social security data, including:
a first acquisition unit, configured to acquire a plurality of risky user types;
the determining unit is used for determining risk index information corresponding to each risk user type; the method comprises the steps that one risk user type corresponds to one risk index information, and each risk index information comprises a plurality of risk index sub-information;
a second obtaining unit, configured to obtain user screening models corresponding to the types of the risky users, respectively; one risk user type corresponds to one user screening model, and one risk index information corresponds to one user screening model; each user screening model comprises a plurality of user screening submodels, and the user screening submodels in the user screening models correspond to the risk index submodels in the corresponding risk index information one by one;
the input unit is used for inputting the social security data into each user screening model to obtain risk user information corresponding to each user screening model; the social security data comprises a plurality of user information.
According to still another aspect of the embodiments of the present invention, there is also provided a computing device including: at least one processor, a memory, and an input-output unit; the memory is used for storing a computer program, and the processor is used for calling the computer program stored in the memory to execute the risk user screening method based on the social security data.
According to still another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, which includes instructions that, when executed on a computer, cause the computer to execute the above social security data-based risk user screening method.
In the embodiment of the invention, a plurality of user screening models respectively corresponding to various risk user types are obtained, each user screening model can comprise a plurality of user screening submodels, and each user screening submodel can correspond to one risk index submodel; the social security data can be screened to obtain risk user information which completely accords with the risk index information corresponding to the user screening model through screening of each user screening sub-model in the user screening model, and therefore auditing efficiency of the risk users is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flowchart illustrating an alternative social security data-based risk user screening method according to an embodiment of the present invention;
fig. 2 is a flow chart illustrating an alternative method for determining risky user information according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a tubular funnel model according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an alternative social security data-based risk user screening apparatus according to an embodiment of the present invention;
FIG. 5 schematically shows a schematic of the structure of a medium according to an embodiment of the invention;
fig. 6 schematically shows a structural diagram of a computing device according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions of the present invention, 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 only a part of the embodiments of the present invention, and not all of the 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 invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention 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 invention described herein are capable of operation in other sequences than those illustrated or described herein. Moreover, 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.
Referring to fig. 1, fig. 1 is a flowchart illustrating a social security data-based risk user screening method according to an embodiment of the present invention. It should be noted that the embodiments of the present invention can be applied to any applicable scenario.
Fig. 1 shows a flow of a risk user screening method based on social security data according to an embodiment of the present invention, including:
step S101, a plurality of risk user types are obtained.
In the embodiment of the invention, the risk user type can be preset or obtained according to the statistics of mass social security data. The risky user type may be a type of risky user who obtains a social security amount for the violation. For example, the type of the risk user may be a repeated participation type, a repeated compensation type, an insufficient participation life type, and the like, and thus, the embodiment of the present invention is not limited thereto.
And step S102, determining risk index information corresponding to each risk user type.
In the embodiment of the invention, one risk user type corresponds to one risk index information, and each risk index information comprises a plurality of risk index sub-information; and the risk index sub-information included in the risk index information corresponding to any two risk user types is not completely the same.
For example, when the risk user type is a repeated participation type, the multiple risk index sub-information in the risk index information corresponding to the repeated participation type may include information that the social security type is a worker type and the number of times of participation of the same user per month is greater than or equal to 2.
When the risk user type is a repeated compensation type, the sub-information of the risk indicators in the risk indicator information corresponding to the repeated compensation type may include information that the age of a male is greater than 60 years old or the age of a female is greater than 55 years old, the social security type is an employee type, and the insured person has died.
When the risk user type is the insufficient-insured-age type, the plurality of risk index sub-information in the risk index information corresponding to the insufficient-insured-age type may include information that the male age is less than or equal to 60 years old, the female age is less than or equal to 55 years old, or the insufficient-insured-age is 15 years old.
And step S103, acquiring user screening models respectively corresponding to the types of the risk users.
In the embodiment of the invention, one risk user type corresponds to one user screening model, and one risk index information corresponds to one user screening model; each user screening model comprises a plurality of user screening submodels, and the user screening submodels in the user screening models correspond to the risk index submodels in the corresponding risk index information one by one.
In the embodiment of the present invention, the types of the user screening submodels at least include a database type, a search type and an interface type, and the types of the risk indicator submodel at least include a database statement type, a complex text type and a single text type, where: the risk index sub-information of the database statement type corresponds to the user screening sub-model of the database type; the risk index sub-information of the complex text type corresponds to a user screening sub-model of the search type; and the risk index sub-information of the single text type corresponds to the user screening sub-model of the interface type. The user screening submodels of different types can be obtained correspondingly according to the types of the risk index submodels of different types, so that accurate data can be screened quickly by the user screening submodels, and the operation performance of the user screening model is improved.
For example, a large-batch text mode full-volume search mode can correspond to risk index sub-information of a complex text type, and a search type user screening sub-model can be adopted; the mode for searching and positioning the single file policy content can correspond to the risk index sub-information of a single text type, and a user screening sub-model of a regular function (interface) type can be adopted; the mode of connecting the database to execute the database statement can correspond to the risk indicator sub-information of the database statement type, and a user screening sub-model of the database type can be adopted; each type of user screening submodel has the characteristic of quick execution in each field, is integrated and used concurrently, and quickly improves the operation performance of the user screening submodel.
As an optional implementation manner, after the user screening models respectively corresponding to the risk user types are obtained in step S103, the following steps may be further performed:
acquiring the target type of each user screening submodel;
if the target type does not comprise the interface type, social security data corresponding to the target type is obtained from a social security database; and executing the step of inputting the social security data into each user screening model to obtain the risk user information corresponding to each user screening model.
By implementing the embodiment, the social security data corresponding to the target type can be acquired from the social security database, so that the user screening model can more accurately screen the social security data.
As an optional implementation manner, if the target type includes the interface type, the method further includes the following steps:
acquiring an external platform identifier corresponding to the user screening submodel of the interface type;
acquiring external social security data corresponding to the interface type from an external platform corresponding to the external platform identification;
obtaining social security data corresponding to a target type except the interface type from the social security database;
and determining the external social security data and the social security data as the social security data together, and executing the step of inputting the social security data into each user screening model to obtain risk user information respectively corresponding to each user screening model.
When the implementation mode is implemented, when the interface type user screening submodel is determined to exist, the external social security data corresponding to each user information is obtained through the external platform corresponding to the interface type user screening submodel, and the social security data corresponding to the target type except the interface type is obtained from the social security database; and the external social security data and the social security data can be communicated and determined as the social security data, so that the comprehensiveness of the social security data is improved.
In the embodiment of the present invention, the social security data includes a plurality of user information. The social security data may include user information pre-stored by the social security system, and may also include user information acquired from other related platforms, where the user information is more relevant to the user, and the other related platforms may include, but are not limited to, a public security platform, a government affairs service platform, and the like. The user information may include user name, age, gender, insured time, insured type, insured age and insured location, etc.
And step S104, inputting the social security data into each user screening model to obtain risk user information respectively corresponding to each user screening model.
In another embodiment of the invention, in order to make the obtained risk user information more accurate, the screening results of each user screening submodel can be obtained; and further analyzing the screening results of the user screening submodels, so as to determine the risk user information that simultaneously satisfies the risk index submodel of each user screening submodel in the same user screening model, as shown in fig. 2, the step S104 is replaced by the following steps S201 to S202:
step S201, sequentially inputting the social security data into each user screening model to obtain a screening result of each user screening submodel.
In the embodiment of the invention, the screening result represents the target user information matched with the risk index sub-information corresponding to the user screening sub-model. After the social security data is screened by one user screening model, the risk user information output by the user screening model can be deleted from the social security data, so that the determined risk user information does not exist in the deleted social security data, the data volume of the social security data can be reduced, the running speed of the remaining user screening models is increased, and the efficiency of screening qualified user information is improved.
Step S202, the screening results of the user screening submodels are analyzed, and risk user information corresponding to the user screening submodels is obtained.
In the embodiment of the invention, the risk user information corresponds to the risk user type of the user screening model corresponding to the risk user information.
As an optional implementation manner, after obtaining the risk user information corresponding to each of the user screening models in step S202, the following steps may be further performed:
analyzing the risk user information to obtain loss information and processing information corresponding to the risk user information; wherein, the processing information at least comprises a processing mechanism identifier;
and distributing the loss information and the processing information corresponding to the risk user information to the processing mechanism terminal equipment corresponding to the processing mechanism identification, so that the processing mechanism terminal equipment determines a risk user processing mode and a risk user generation reason according to the loss information and the processing information corresponding to the risk user information.
By implementing the implementation mode, the risk user information can be analyzed to obtain the loss information caused by the risk user information and the processing information aiming at the risk user information, and the loss information and the processing information can be distributed to the processing mechanism terminal equipment corresponding to the processing mechanism identifier, so that the processing mechanism terminal equipment can determine the specific processing mode aiming at the risk user and analyze the specific processing mode to obtain the generation reason of the risk user according to the loss information and the processing information in time, the risk screening mode of the user information can be improved in a targeted manner according to the generation reason of the risk user, and the risk probability of the occurrence of the user information is reduced.
In the embodiment of the present invention, the loss information corresponding to the risk user information may include a loss amount of the risk user to the social security, the processing information corresponding to the risk user information may include a processing mechanism responsible for the risk user, and the risk user may generate a risk to the social security due to negligence of the processing mechanism; therefore, the processing mechanism identifier can be determined, the loss information and the processing information corresponding to the risk user information are distributed to the processing mechanism terminal device corresponding to the processing mechanism identifier, so that the processing mechanism terminal device determines a processing mode or a compensation measure for the risk user, the processing mechanism terminal device can analyze the vulnerability existing in the processing mechanism terminal device according to the loss information and the processing information corresponding to the risk user information, and then the vulnerability can be repaired in a targeted manner, so that the same risk user information is prevented from appearing again.
By implementing the steps S201 to S202, screening results of the screening submodels of the users can be obtained; and by further analyzing the screening results of the user screening submodels, the risk user information which simultaneously meets the risk index submodel information of each user screening submodel in the same user screening model can be determined, so that the obtained risk user information is more accurate.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a tubular funnel model according to an embodiment of the present invention, wherein: the pipe-surface funnel model can comprise n user screening submodels M1 and M2 \8230, mn, the user screening submodels M1 can comprise n user screening submodels G11, G12 and G13 \8230, G1n, the user screening submodel M2 can comprise n user screening submodels G21 and G22 \8230, G2n, the user screening submodel Mn can comprise n user screening submodels Gn1 and Gn2 \8230, gnn, the user screening model M1 can screen input social security data and output risk user information M1, and the risk user information M1 can be deleted from the social security data to obtain the deleted social security data; and inputting the deleted social security data into the user screening model M2, so that the user screening model M2 screens the input deleted social security data, and outputs the risky user information M2, and the risky user information M2 can be deleted from the social security data again until the social security data from which all the risky user information is deleted is input into the last user screening model Mn, so that the user screening model Mn screens the input social security data from which all the risky user information is deleted, and outputs the risky user information Mn, and the risky user information Mn can be deleted from the social security data again, and the final qualified user information is obtained.
Optionally, the tube-surface funnel model is formed by combining M "surface" actuators. And the M-plane actuators may be combined with G "tube" actuators. Taking the M1 executor as an example, an algorithm execution flow is described.
And the G 'pipe' executor comprises a task executor, a data model and a function runner.
The M 'surface' executor comprises a task executor, a data model, a surface execution strategy device and a result execution strategy device.
G11: SQL executor, rule 1 (age) -the corresponding index (greater than 50);
g12: searching executors, rule 1 (social security item) -corresponding indicators (retirement);
g13: interface executor, rule 1 (dead person) corresponding index (yes);
m1 results: outputting the dead people with the age of more than 50 years and related business conditions of leaving retirement.
For example, the M1 executor needs to obtain information data of people aged more than 50 and dead and related retirement business conditions through three rules and three indexes. For risk auditing.
When the M1 actuator executes, three types of actuators G11, G12 and G13 are asynchronously triggered concurrently, the actuators are respectively executed in respective data warehouses or external sources to obtain corresponding results, the results are output according to models of the respective actuators, and the results are stored in a REDIS or an internal memory. And the M1 actuator monitors and judges whether the results of the G11, G12 and G13 actuators are output completely, if the results are output completely, the data result model is dynamically generated according to a rule logic correlation algorithm and is integrated and output to the M1 layer data result model. So as to achieve a single-surface actuator, and output results are quickly executed from different dimensions.
According to the method and the device, the qualified user information can be obtained by screening from the social security data based on the plurality of user screening models corresponding to different risk user types, so that the auditing efficiency of the qualified users is improved. In addition, the invention can also improve the operational performance of the user screening model. In addition, the social security data can be more accurately screened by the user screening model. In addition, the invention can also improve the comprehensiveness of the social security data. In addition, the method and the system can also enable the obtained risk user information to be more accurate. In addition, the invention can also reduce the risk probability of the user information.
Having described the method of the exemplary embodiment of the present invention, next, a social security data based risk user screening apparatus according to an exemplary embodiment of the present invention will be described with reference to fig. 4, the apparatus including:
a first obtaining unit 401, configured to obtain multiple risky user types.
A determining unit 402, configured to determine risk indicator information corresponding to each of the types of risky users acquired by the first acquiring unit 401; the risk user type corresponds to risk index information, and each risk index information comprises a plurality of risk index sub-information.
A second obtaining unit 403, configured to obtain user screening models corresponding to the types of the risky users obtained by the first obtaining unit 401; wherein, one risk user type corresponds to one user screening model, and one risk index information determined by the determining unit 402 corresponds to one user screening model; each user screening model comprises a plurality of user screening submodels, and the user screening submodels in the user screening models correspond to the risk index submodels in the corresponding risk index information one by one.
In the embodiment of the present invention, the types of the user screening submodels at least include a database type, a search type, and an interface type, and the types of the risk indicator submodel at least include a database statement type, a complex text type, and a single text type, where: the risk index sub-information of the database statement type corresponds to the user screening sub-model of the database type; the risk index sub-information of the complex text type corresponds to the user screening sub-model of the search type; and the risk index sub-information of the single text type corresponds to the user screening sub-model of the interface type. The user screening submodels of different types can be obtained correspondingly according to the types of the risk index submodels of different types, so that accurate data can be screened quickly by the user screening submodels, and the operation performance of the user screening model is improved.
An input unit 404, configured to input the social security data into each user screening model obtained by the second obtaining unit 403, so as to obtain risk user information corresponding to each user screening model; the social security data comprises a plurality of user information.
As an optional implementation manner, the second obtaining unit 403 is further configured to:
after user screening models corresponding to the risk user types are obtained, the target types of the user screening submodels are obtained;
if the target type does not comprise the interface type, social security data corresponding to the target type is obtained from a social security database; and the input unit 404 is triggered to execute the step of inputting the social security data into each user screening model, so as to obtain risk user information corresponding to each user screening model.
By implementing the embodiment, the social security data corresponding to the target type can be acquired from the social security database, so that the user screening model can more accurately screen the social security data.
As an optional implementation manner, the second obtaining unit 403 is further configured to:
if the target type comprises the interface type, acquiring an external platform identifier corresponding to a user screening submodel of the interface type;
acquiring external social security data corresponding to the interface type from an external platform corresponding to the external platform identifier;
obtaining social security data corresponding to target types except the interface type from the social security database;
and determining the external social security data and the social security data as the social security data, and triggering the input unit 404 to execute the step of inputting the social security data into each user screening model to obtain risk user information corresponding to each user screening model respectively.
When the implementation mode is implemented, when the interface type user screening submodel is determined to exist, the external social security data corresponding to each user information is obtained through the external platform corresponding to the interface type user screening submodel, and the social security data corresponding to the target type except the interface type is obtained from the social security database; and the external social security data and the social security data can be communicated and determined as the social security data, so that the comprehensiveness of the social security data is improved.
As an optional implementation manner, the manner in which the input unit 404 inputs the social security data into each user screening model to obtain the risk user information respectively corresponding to each user screening model specifically is:
sequentially inputting the social security data into each user screening model to obtain screening results of each user screening submodel; the screening result represents target user information matched with risk index sub-information corresponding to the user screening sub-model;
and analyzing the screening results of the user screening submodels to obtain risk user information respectively corresponding to the user screening submodels.
By implementing the implementation mode, the screening result of each user screening submodel can be obtained; and by further analyzing the screening results of the screening submodels of the users, the risk user information which simultaneously meets the risk index submodel information of each user screening submodel in the same user screening model can be determined, so that the obtained risk user information is more accurate.
As an alternative implementation, the input unit 404 may further be configured to:
after risk user information corresponding to each user screening model is obtained, analyzing the risk user information to obtain loss information and processing information corresponding to the risk user information; wherein, the processing information at least comprises a processing mechanism identifier;
and distributing the loss information and the processing information corresponding to the risk user information to processing mechanism terminal equipment corresponding to the processing mechanism identifier, so that the processing mechanism terminal equipment determines a risk user processing mode and a risk user generation reason according to the loss information and the processing information corresponding to the risk user information.
By implementing the implementation mode, the risk user information can be analyzed to obtain the loss information caused by the risk user information and the processing information aiming at the risk user information, and the loss information and the processing information can be distributed to the processing mechanism terminal equipment corresponding to the processing mechanism identifier, so that the processing mechanism terminal equipment can determine the specific processing mode aiming at the risk user and analyze the specific processing mode to obtain the generation reason of the risk user according to the loss information and the processing information in time, the risk screening mode of the user information can be improved in a targeted mode according to the generation reason of the risk user, and the risk probability of the user information is reduced.
Having described the method and apparatus of the exemplary embodiments of this invention, a computer-readable storage medium of the exemplary embodiments of this invention is described next with reference to fig. 5, referring to fig. 5, which illustrates a computer-readable storage medium being an optical disc 50 having stored thereon a computer program (i.e., a program product) which, when executed by a processor, performs the steps recited in the method embodiments described above, e.g., obtaining a plurality of risky user types; determining risk index information respectively corresponding to each risk user type; the method comprises the steps that one risk user type corresponds to one risk index information, and each risk index information comprises a plurality of risk index sub-information; acquiring user screening models respectively corresponding to various risk user types; one risk user type corresponds to one user screening model, and one risk index information corresponds to one user screening model; each user screening model comprises a plurality of user screening submodels, and the user screening submodels in the user screening models correspond to the risk index submodels in the corresponding risk index information one by one; inputting social security data into each user screening model to obtain risk user information; the social security data comprises a plurality of user information; the specific implementation of each step is not repeated here.
It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, a phase change memory (PRAM), a Static Random Access Memory (SRAM), a Dynamic Random Access Memory (DRAM), other types of Random Access Memories (RAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a flash memory, or other optical and magnetic storage media, which are not described in detail herein.
Having described the methods, apparatus and media of exemplary embodiments of the present invention, a computing device for social security data based risky user screening of exemplary embodiments of the present invention is next described with reference to FIG. 6.
FIG. 6 illustrates a block diagram of an exemplary computing device 60, which computing device 60 may be a computer system or server, suitable for use in implementing embodiments of the present invention. The computing device 60 shown in FIG. 6 is only one example and should not be taken to limit the scope of use and functionality of embodiments of the present invention.
As shown in fig. 6, components of computing device 60 may include, but are not limited to: one or more processors or processing units 601, a system memory 602, and a bus 603 that couples various system components (including the system memory 602 and the processing unit 601).
The system memory 602 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 6021 and/or cache memory 6022. The computing device 60 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, ROM6023 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 6, but typically referred to as a "hard disk drive"). Although not shown in FIG. 6, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 603 by one or more data media interfaces. At least one program product may be included in system memory 602 with a set (e.g., at least one) of program modules configured to perform the functions of embodiments of the present invention.
A program/utility 6025 having a set (at least one) of program modules 6024 may be stored, for example, in the system memory 602, and such program modules 6024 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment. Program modules 6024 generally carry out the functions and/or methodologies of embodiments of the invention as described herein.
The processing unit 601 executes various functional applications and data processing, for example, acquiring a plurality of risky user types, by running a program stored in the system memory 602; determining risk index information corresponding to each risk user type; the method comprises the steps that one risk user type corresponds to one risk index information, and each risk index information comprises a plurality of risk index sub-information; acquiring user screening models respectively corresponding to various risk user types; one risk user type corresponds to one user screening model, and one risk index information corresponds to one user screening model; each user screening model comprises a plurality of user screening submodels, and the user screening submodels in the user screening models correspond to the risk index submodels in the corresponding risk index information one by one; inputting social security data into each user screening model to obtain risk user information; the social security data comprises a plurality of user information. The specific implementation of each step is not repeated here. It should be noted that although several units/modules or sub-units/sub-modules of the social security data based risky user screening apparatus are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
In the description of the present invention, it should be noted that the terms "first", "second", and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present 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 various media capable of storing program codes.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: those skilled in the art can still make modifications or changes to the embodiments described in the foregoing embodiments, or make equivalent substitutions for some features, within the scope of the disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Further, while operations of the methods of the invention are depicted in the drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
Claims (10)
1. A risk user screening method based on social security data comprises the following steps:
acquiring a plurality of risk user types;
determining risk index information corresponding to each risk user type; the method comprises the steps that one risk user type corresponds to one risk index information, and each risk index information comprises a plurality of risk index sub-information;
acquiring user screening models respectively corresponding to the types of the risk users; one risk user type corresponds to one user screening model, and one risk index information corresponds to one user screening model; each user screening model comprises a plurality of user screening submodels, and the user screening submodels in the user screening models correspond to the risk index submodels in the corresponding risk index information one by one;
inputting the social security data into each user screening model to obtain risk user information corresponding to each user screening model; the social security data comprises a plurality of user information.
2. The method as claimed in claim 1, wherein the types of the user filtering submodels at least include a database type, a search type and an interface type, and the types of the risk indicator submodel at least include a database statement type, a complex text type and a single text type, wherein:
the risk index sub-information of the database statement type corresponds to the user screening sub-model of the database type; the risk index sub-information of the complex text type corresponds to the user screening sub-model of the search type; and the risk index sub-information of the single text type corresponds to the user screening sub-model of the interface type.
3. The social security data-based risky user screening method according to claim 2, after obtaining the user screening models respectively corresponding to the risky user types, the method further comprising:
acquiring the target type of each user screening submodel;
if the target type does not comprise the interface type, social security data corresponding to the target type is obtained from a social security database; and executing the step of inputting the social security data into each user screening model to obtain the risk user information corresponding to each user screening model.
4. The social security data-based risk user screening method of claim 3, wherein if the target type includes the interface type, the method further comprises:
acquiring an external platform identification corresponding to the user screening submodel of the interface type;
acquiring external social security data corresponding to the interface type from an external platform corresponding to the external platform identification;
obtaining social security data corresponding to a target type except the interface type from the social security database;
and determining the external social security data and the social security data as the social security data together, and executing the step of inputting the social security data into each user screening model to obtain risk user information respectively corresponding to each user screening model.
5. The social security data-based risk user screening method according to any one of claims 1 to 4, wherein the step of inputting the social security data into each user screening model to obtain risk user information respectively corresponding to each user screening model includes:
sequentially inputting the social security data into each user screening model to obtain screening results of each user screening submodel; the screening result represents target user information matched with risk index sub-information corresponding to the user screening sub-model;
and analyzing the screening results of the user screening submodels to obtain risk user information respectively corresponding to the user screening submodels.
6. The social security data-based risk user screening method according to claim 5, after obtaining the risk user information corresponding to each user screening model, the method further comprising:
analyzing the risk user information to obtain loss information and processing information corresponding to the risk user information; wherein, the processing information at least comprises a processing mechanism identifier;
and distributing the loss information and the processing information corresponding to the risk user information to processing mechanism terminal equipment corresponding to the processing mechanism identifier, so that the processing mechanism terminal equipment determines a risk user processing mode and a risk user generation reason according to the loss information and the processing information corresponding to the risk user information.
7. A risk user screening device based on social security data comprises:
a first acquisition unit, configured to acquire a plurality of risky user types;
the determining unit is used for determining risk index information corresponding to each risk user type; the method comprises the steps that one risk user type corresponds to one risk index information, and each risk index information comprises a plurality of risk index sub-information;
the second acquisition unit is used for acquiring user screening models corresponding to the types of the risk users respectively; one risk user type corresponds to one user screening model, and one risk index information corresponds to one user screening model; each user screening model comprises a plurality of user screening submodels, and the user screening submodels in the user screening models correspond to the risk index submodels in the corresponding risk index information one by one;
the input unit is used for inputting the social security data into each user screening model to obtain risk user information corresponding to each user screening model; the social security data comprises a plurality of user information.
8. The social security data-based risk user screening apparatus of claim 7, wherein the types of the user screening submodels at least include a database type, a search type and an interface type, and the types of the risk indicator submodel at least include a database statement type, a complex text type and a single text type, wherein:
the risk index sub-information of the database statement type corresponds to the user screening sub-model of the database type; the risk index sub-information of the complex text type corresponds to the user screening sub-model of the search type; and the risk index sub-information of the single text type corresponds to the user screening sub-model of the interface type.
9. A computing device, the computing device comprising:
at least one processor, a memory, and an input-output unit;
wherein the memory is used for storing a computer program, and the processor is used for calling the computer program stored in the memory to execute the method of any one of claims 1 to 6.
10. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the method of any one of claims 1-6.
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