CN116932214A

CN116932214A - Instruction sending method and device, electronic equipment and computer storage medium

Info

Publication number: CN116932214A
Application number: CN202310912024.3A
Authority: CN
Inventors: 束阳雪; 吴栋; 俞玺; 李烨
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2023-07-24
Filing date: 2023-07-24
Publication date: 2023-10-24

Abstract

The disclosure provides a method and a device for sending instructions, electronic equipment and a computer storage medium, which can be applied to the technical fields of big data and financial science and technology. The method comprises the following steps: in response to receiving a first instruction, acquiring real-time resource state data of a target user at the current moment, wherein the first instruction is used for allowing the target user to use a target resource with a preset limit value; determining newly added application data according to the real-time resource state data and the original application data; determining the number of newly added entities, the number of times of newly added resource inquiry and the usage amount of newly added resources according to the newly added application data; updating the usage amount of the target resource from a preset limit value to a target limit value according to the number of newly-added entities, the number of newly-added resource inquiry times and the usage amount of the newly-added resource; and sending a second instruction to a terminal device associated with the target user, wherein the second instruction is for allowing the target user to use the target resource of the target limit value.

Description

Instruction sending method and device, electronic equipment and computer storage medium

Technical Field

The disclosure relates to the technical field of big data technology and financial science and technology, in particular to a method and a device for sending instructions, electronic equipment and a computer storage medium.

Background

For a resource application scenario, a user may submit a resource application request to an entity, such as a banking institution. The banking institution issues corresponding resource amount by approving the application request.

In the prior art, a banking institution can automatically respond to the application request of a user by using a data system such as a computer and the like, and calculate and issue corresponding resource quantity. The user may send multiple application requests to multiple banking institutions simultaneously, and each banking institution may issue a corresponding amount of resources for a single application request because the data systems between the banking institutions are not in communication, but the total amount of resources issued by the banking institutions exceeds the amount of resources available to the user.

In the process of implementing the above inventive concept, the inventor finds that the related art has at least the following technical problems: the resource allocation operation performed by the data system is unreasonable due to data non-communication between the plurality of data systems.

Disclosure of Invention

In view of the foregoing, the present disclosure provides an instruction sending method, an apparatus, an electronic device, and a computer storage medium.

According to a first aspect of the present disclosure, there is provided an instruction transmitting method including:

In response to receiving a first instruction, acquiring real-time resource state data of a target user at the current moment, wherein the first instruction is used for allowing the target user to use a target resource with a preset limit value;

determining newly-added application data according to the real-time resource state data and the original application data, wherein the original application data is determined when a target user initiates a target resource application request, and the newly-added application data comprises the newly-added resource use condition of the target user at other entities from the application of target resources to the current moment;

determining the number of newly added entities, the number of times of newly added resource inquiry and the usage amount of newly added resources according to the newly added application data;

updating the usage amount of the target resource from a preset limit value to a target limit value according to the number of newly-added entities, the number of newly-added resource inquiry times and the usage amount of the newly-added resource; and

and sending a second instruction to a terminal device associated with the target user, wherein the second instruction is used for allowing the target user to use the target resource of the target limit value.

According to an embodiment of the present disclosure, in response to receiving a first instruction, acquiring real-time resource status data of a current moment of a target user includes:

responding to the received first instruction, and analyzing the first instruction to obtain the user identification of the target user;

Generating a request message according to the user identification and the timestamp of the current moment;

sending a request message to a third party system through a system connection interface so that the third party system generates real-time resource state data according to the request message; and

real-time resource status data returned by the third party system is received.

According to an embodiment of the present disclosure, wherein the raw application data comprises raw application reports in text form, and the real-time resource status data comprises real-time resource reports in text form;

determining newly added application data according to the real-time resource state data and the original application data, wherein the method comprises the following steps:

positioning a first target area in an original application report and a second target area in a real-time resource report by identifying a target text mark; and

and comparing the first resource use detail information in the first target area with the second resource use detail information in the second target area to obtain newly-added application data, wherein the first resource use detail information represents the resource use condition of the target user when the target resource application request is initiated, and the second resource use detail information represents the resource use condition of the target user at the current moment.

According to an embodiment of the present disclosure, determining, according to newly-added application data, the number of newly-added entities, the number of newly-added resource queries, and the newly-added resource usage includes:

determining at least one newly added resource inquiry record and/or at least one newly added resource use record from newly added application data according to the resource use type;

extracting the number of new resource inquiry times from at least one new resource inquiry record;

extracting the new resource usage amount from at least one new resource usage record; and

the number of added entities is determined from at least one added resource query record and/or at least one added resource usage record.

According to an embodiment of the present disclosure, updating a usage amount of a target resource from a preset limit value to a target limit value according to a number of newly added entities, a number of newly added resource queries, and a newly added resource usage amount includes:

determining a first pruning limit value according to the number of the newly added entities and the newly added resource usage amount;

determining a second deletion limit value according to the number of newly added resource inquiry times and the number of newly added entities;

determining a target pruning limit based on the first pruning limit and the second pruning limit; and

and calling a target calculation sub-program code, and updating the usage amount of the target resource from the preset limit value to the target limit value based on the target deletion limit value.

According to an embodiment of the present disclosure, determining a first pruning limit according to the number of newly added entities and the newly added resource usage includes:

according to the user identification of the target user, acquiring a first weight parameter matched with the target user from a parameter table; and

and calling a first limit value calculation model, and outputting a first deletion limit value according to the number of the newly-added entities, the newly-added resource usage amount and the first weight parameter.

According to an embodiment of the present disclosure, determining the second pruning limit according to the number of new resource queries and the number of new entities includes:

acquiring a second weight parameter matched with the target user from the parameter table according to the user identification of the target user; and

and calling a second limit value calculation model, and outputting a second deletion limit value according to the number of the newly added entities, the number of the newly added resource queries and a second weight parameter.

According to an embodiment of the present disclosure, the table includes a user identification field, a statistics period field, a total resource usage amount of the user during the statistics period field, a user overdue number field, and a query number field.

A second aspect of the present disclosure provides an instruction transmitting apparatus including:

the acquisition module is used for responding to the received first instruction, and acquiring real-time resource state data of the target user at the current moment, wherein the first instruction is used for allowing the target user to use target resources with preset limiting values;

The first determining module is used for determining newly-added application data according to the real-time resource state data and the original application data, wherein the original application data is determined when a target user initiates a target resource application request, and the newly-added application data represents the newly-added resource use condition of the target user in other entities from the application target resource to the current moment;

the second determining module is used for determining the number of newly-added entities, the number of newly-added resource inquiry times and the newly-added resource usage amount according to the newly-added application data;

the third determining module is used for updating the usage amount of the target resource from a preset limit value to a target limit value according to the number of newly-added entities, the number of newly-added resource inquiry times and the usage amount of the newly-added resource; and

and the sending module is used for sending a second instruction to the terminal equipment associated with the target user, wherein the second instruction is used for allowing the target user to use the target resource of the target limit value.

A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the instruction sending method described above.

A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described instruction transmission method.

A fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above-described instruction transmission method.

In the embodiment of the disclosure, after the application permission of the target user is approved and the first instruction is generated, the resource change condition from the initiation of the application of the target resource to the current moment is determined through the real-time resource state data and the original application data before the first instruction is sent to the user, and the preset limit value is further adjusted, so that the use amount of the target resource can be adjusted in real time, and reasonable allocation of the resource is realized. The number of the newly added entities, the number of the newly added resource inquiry times and the newly added resource usage amount are determined only according to the resource change state, so that the usage amount of the target resource is adjusted without re-approval of the application authority of the target user, and the method can avoid adding repeated approval operation and increasing the complexity of a data system while realizing reasonable resource allocation.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be more apparent from the following description of embodiments of the disclosure with reference to the accompanying drawings, in which:

fig. 1 schematically illustrates an application scenario of an instruction transmission method according to an embodiment of the present disclosure;

FIG. 2 schematically illustrates a flow chart of an instruction sending method according to an embodiment of the disclosure;

FIG. 3 schematically illustrates a flow chart of a method of acquiring real-time resource status data according to an embodiment of the disclosure;

FIG. 4 schematically illustrates a schematic diagram of an application report or resource report in accordance with a specific embodiment of the present disclosure;

FIG. 5 schematically illustrates a flow diagram from receiving a first instruction to sending a second instruction, according to a specific embodiment of the present disclosure;

fig. 6 schematically shows a block diagram of a structure of an instruction transmitting apparatus according to an embodiment of the present disclosure; and

fig. 7 schematically illustrates a block diagram of an electronic device adapted for an instruction sending method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.

Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

In the technical scheme of the disclosure, the related data (such as including but not limited to personal information of a user) are collected, stored, used, processed, transmitted, provided, disclosed, applied and the like, all conform to the regulations of related laws and regulations, necessary security measures are adopted, and the public welcome is not violated.

For a resource application scenario, a user may submit a resource application request to an entity, such as a banking institution. The banking institution issues corresponding resource amount by approving the application request. However, the data between the plurality of banking institutions is not communicated, and the user may simultaneously transmit a plurality of application requests to the plurality of banking institutions. While it is reasonable for each banking institution to apply for the amount of resources that are requested to be issued, the total amount of resources that are issued by the banking institutions exceeds the user's application.

For example, in the application scenario for credit businesses such as credit cards and loans, a user can apply a certain amount of loan to a banking institution by deducting a part of the property. However, the user may apply for a loan amount to multiple banking institutions at the same time by withholding the same property.

In the prior art, a banking institution can automatically respond to the application request of a user by utilizing a data system such as a computer, etc., approve the application qualification of the user and calculate the granted resource amount. Because the data systems adopted by the banking institutions are different, and in order to ensure the safety of data in the data systems, the data interaction operation between the data systems of the banking institutions is not performed. Therefore, the problems of repeated valuation of the same property, overlarge loan amount issued and unreasonable resource trial batch can be caused.

The embodiment of the disclosure provides an instruction sending method, which comprises the following steps: in response to receiving a first instruction, acquiring real-time resource state data of a target user at the current moment, wherein the first instruction is used for allowing the target user to use a target resource with a preset limit value; determining newly-added application data according to the real-time resource state data and the original application data, wherein the original application data is determined when a target user initiates a target resource application request, and the newly-added application data comprises the newly-added resource use condition of the target user at other entities from the application of target resources to the current moment; determining the number of newly added entities, the number of times of newly added resource inquiry and the usage amount of newly added resources according to the newly added application data; updating the usage amount of the target resource from a preset limit value to a target limit value according to the number of newly-added entities, the number of newly-added resource inquiry times and the usage amount of the newly-added resource; and sending a second instruction to a terminal device associated with the target user, wherein the second instruction is for allowing the target user to use the target resource of the target limit value.

Fig. 1 schematically illustrates an application scenario of an instruction transmission method according to an embodiment of the present disclosure.

As shown in fig. 1, an application scenario 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 is a medium used to provide a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may interact with the server 105 through the network 104 using at least one of the first terminal device 101, the second terminal device 102, the third terminal device 103, to receive or send messages, etc. Various communication client applications, such as a shopping class application, a web browser application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc. (by way of example only) may be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103.

The first terminal device 101, the second terminal device 102, the third terminal device 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (by way of example only) providing support for websites browsed by the user using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as the user request, and feed back the processing result (e.g., the web page, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that, the instruction sending method provided by the embodiments of the present disclosure may be generally executed by the server 105. Accordingly, the instruction sending device provided in the embodiments of the present disclosure may be generally disposed in the server 105. The instruction transmitting method provided by the embodiments of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and/or the server 105. Accordingly, the instruction sending apparatus provided by the embodiments of the present disclosure may also be provided in a server or a server cluster that is different from the server 105 and is capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and/or the server 105.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

The instruction transmission method of the disclosed embodiment will be described in detail below with reference to fig. 2 to 5 based on the scenario described in fig. 1.

Fig. 2 schematically illustrates a flow chart of an instruction sending method according to an embodiment of the present disclosure.

As shown in fig. 2, the method 200 includes operations S210-S250.

In operation S210, in response to receiving the first instruction, real-time resource status data of the current time of the target user is obtained, where the first instruction is used to allow the target user to use the target resource with the preset limit value.

According to an embodiment of the present disclosure, a first instruction is used to allow a target user to use a target resource of a preset limit value. The preset limit value can be determined by the computer equipment according to basic information of the target user.

According to an embodiment of the present disclosure, before generating the first instruction, the computer device is capable of processing an application request initiated by the target user based on basic information of the target user.

According to embodiments of the present disclosure, it is understood that the first instruction is an instruction generated by the computer device after the approval of the application authority of the target user passes.

For example, the computer device determines the identification information of the target user by parsing the application request; acquiring original application data according to the identification information of the target user; determining the application authority of a target user and the preset limit of the applied target resource according to the original application data; and then, generating a target resource for allowing the target user to use a preset limit value under the condition that the application authority of the target user passes.

According to an embodiment of the present disclosure, the real-time resource status data is used to characterize the usage status of the target resource by the target user at the current moment. In a credit scenario in the financial domain, the real-time resource status data includes credit information of the target user.

According to embodiments of the present disclosure, the real-time resource status data and the original application data are all processed by the processes of acquiring, storing, using, processing, transmitting, providing, disclosing, applying, etc. under the permission of the user.

For example, in response to receiving the first instruction, a request for acquiring real-time resource status data is sent to the target user, and the real-time resource status data of the target user at the current time is acquired under the permission of the user.

Or, in the case that the target user logs in the application software, a request for acquiring the real-time resource state data is sent to the target user, and in the case that the user allows, a subsequent operation is performed so as to generate a first instruction and acquire the real-time resource state data.

In operation S220, newly added application data is determined according to the real-time resource status data and the original application data.

According to an embodiment of the present disclosure, the raw application data is determined by the target user at the time of initiating the target resource application request. The original application data and the real-time resource state data are different in acquisition time and are used for representing the use state of the target user on the target resource at different moments.

According to the embodiment of the disclosure, the form of the original application data and the real-time resource state data are the same, and only the acquisition time is different. Because the form of the original application data and the form of the real-time resource state data are the same, the newly added application data can be obtained by comparing the difference between the real-time resource state data and the original application data.

For example, the original application data and the real-time resource status data are both in text form, and the new application data in text form is determined by comparing text differences. Or the original application data and the real-time resource state data are in a picture form, and the picture difference is converted into a target form by comparing the picture difference to obtain the newly added application data. For example, the picture difference is converted into the new application data in the text form.

According to the embodiment of the disclosure, the newly added application data comprises the newly added resource use condition of the target user at other entities from the application of the target resource to the current moment. After the target user initiates the application request to the current entity, such as a banking institution, the target user may send the application request to a plurality of other entities at the same time. Therefore, by comparing the original application data with the real-time resource state data, the newly-increased resource use condition of the target user at other entities from the application of the target resource to the current moment can be determined.

According to embodiments of the present disclosure, the entity may be a variety of resource management institutions, banking institutions, business halls, and the like.

In operation S230, the number of newly added entities, the number of newly added resource queries, and the amount of newly added resources are determined according to the newly added application data.

According to the embodiment of the disclosure, the newly-added application data comprises a resource query operation, a resource use operation and the like which are newly added by a user at other entities. The form of the newly added application data can be a data record in the form of text or a table.

According to the embodiment of the disclosure, the number of newly added entities characterizes the number of other entities newly added by the user from the initiation of the application of the target resource to the current moment. The number of newly added resource query words characterizes the number of times of the query operation newly added by the user at one or more other entities from the initiation of the application of the target resource to the current moment. And (5) increasing the resource usage amount. And characterizing the resource quantity of the target resources which are newly added and approved by the user at one or more other entities from the initiation of the application of the target resources to the current moment.

According to the embodiment of the disclosure, the number of newly added entities, the number of newly added resource queries and the newly added resource usage amount can be extracted from the newly added application data by extracting the keywords and determining the number of the keywords.

In operation S240, the usage of the target resource is updated from the preset limit value to the target limit value according to the number of newly added entities, the number of newly added resource queries, and the usage of newly added resources.

According to embodiments of the present disclosure, after determining the number of newly added entities, the number of newly added resource queries, and the newly added resource usage, a target limit value may be calculated using a data model. Wherein the data model may be configured in the computer device or in a data system of the computer device.

According to an embodiment of the present disclosure, the usage amount of the target resource is updated from the preset limit value to the target limit value by using the computer device or the data system configured at the computer device.

In operation S250, a second instruction is transmitted to the terminal device associated with the target user, wherein the second instruction is for allowing the target user to use the target resource of the target limit value.

According to an embodiment of the present disclosure, after updating the usage amount of the target resource from the preset limit value to the target limit value, the second instruction may be generated based on the first instruction.

For example, based on the first instruction, only the data parameter corresponding to the usage amount of the target resource is modified to the target limit value, and the second instruction is obtained.

According to the embodiment of the disclosure, a target user can initiate an application request for applying for a target resource through the associated terminal equipment, and receive an approval passing instruction sent by an entity.

In the embodiment of the disclosure, after the application permission of the target user is approved and the first instruction is generated, the resource change condition from the initiation of the application of the target resource to the current moment is determined through the real-time resource state data and the original application data before the first instruction is sent to the user, and the preset limit value is further adjusted, so that the use amount of the target resource can be adjusted in real time, and reasonable allocation of the resource is realized. The number of the newly added entities, the number of the newly added resource inquiry times and the newly added resource usage amount are determined only according to the resource change state, so that the usage amount of the target resource is adjusted without rechecking the application authority of the target user, and the repeated approval operation and the complexity of the data system are avoided while the reasonable resource allocation is realized.

Fig. 3 schematically illustrates a flowchart of a method of acquiring real-time resource status data according to an embodiment of the present disclosure.

As shown in fig. 3, the method 300 includes operations S311-S314.

In operation S311, in response to receiving the first instruction, the user identification of the target user is parsed from the first instruction.

In operation S312, a request message is generated according to the user identification and the timestamp of the current time.

In operation S313, a request message is sent to the third party system through the system connection interface, so that the third party system generates real-time resource status data according to the request message.

In operation S314, real-time resource status data returned by the third party system is received.

According to the embodiment of the disclosure, the first instruction is generated after the application request of the target user for the target resource is approved, so that the user identification of the target user can be obtained through analysis from the first instruction.

According to an embodiment of the present disclosure, the user identification is used to characterize identity information of the target user. For example, the user identification may be a unique account number, such as "DJgslSKL145".

According to the embodiment of the disclosure, after the user identifier is obtained by parsing from the first instruction, a request message for acquiring real-time resource state data can be generated according to the user identifier and the timestamp of the current moment.

According to the embodiment of the disclosure, the user identifier and the timestamp of the current moment can be directly assembled to obtain the request message. The target identity information of the target user can be determined according to the user identification, and the request message is obtained according to the combination of the target identity information and the time stamp. For example, the target identity information includes information for uniquely characterizing the identity of the user, such as an identification card number.

According to embodiments of the present disclosure, real-time resource status data is stored in a third party system, wherein the third party system is capable of data interaction with a plurality of entities. Therefore, the data system of the current entity can send a request message to the third party system through the system connection interface and receive the real-time resource state data returned by the third party system, so that the data is updated along with time, and the phenomenon of data communication is avoided.

According to embodiments of the present disclosure, a third party system includes a unified credit inquiry platform.

According to an embodiment of the present disclosure, the raw application data comprises raw application reports in text form, and the real-time resource status data comprises real-time resource reports in text form. Determining newly added application data according to the real-time resource state data and the original application data, wherein the method comprises the following steps: positioning a first target area in an original application report and a second target area in a real-time resource report by identifying a target text mark; and comparing the first resource use detail information in the first target area with the second resource use detail information in the second target area to obtain newly-added application data, wherein the first resource use detail information represents the resource use condition of the target user when the target resource application request is initiated, and the second resource use detail information represents the resource use condition of the target user at the current moment.

According to an embodiment of the present disclosure, the target text identification includes a target character string or a target text combination. For example, the target text identification may be "usage details".

According to embodiments of the present disclosure, the target region may identify an associated region for the target text. For example, the target region may identify the region under "usage details" for the target text.

The original application report and the real-time resource report are in the same form according to the embodiment of the present disclosure, and it can be understood that the time of acquisition is different.

Fig. 4 schematically illustrates a schematic diagram of an application report or resource report according to a specific embodiment of the present disclosure.

As shown in FIG. 4, a schematic diagram 400 of an application report or resource report includes a title "XX report," a plurality of text topics such as "basic information," usage details, "and" other information.

In the case of "2. Use detail" 402 as the target text mark, the area under the target text mark and the area including the target text mark are positioned as the target area 401 according to the embodiment of the present disclosure.

According to an embodiment of the present disclosure, a method of locating a target area from a target text identification includes, but is not limited to: character recognition (Optical Character Recognition, OCR) and the like.

According to embodiments of the present disclosure, after locating a first target area in the original application report and a second target area in the real-time resource report, text data characterizing the first resource usage details may be extracted from within the first target area, and text data characterizing the second resource usage details may be extracted from within the second target area. And obtaining the newly added application data by comparing the first resource use detail information in the first target area with the second resource use detail information in the second target area.

According to an embodiment of the present disclosure, since the real-time resource report is acquired at a time after the original application report, the second resource usage detail information includes all or part of the first resource usage detail information. By deleting the first resource usage specification information from the second resource usage specification information, newly added application data can be obtained.

In the embodiment of the disclosure, since the permission approval of the target user is completed before the first instruction is generated, only the usage amount of the target resource is required to be adjusted currently, and therefore, the target area is located by identifying the text identifier, further, the detail information in the target area is compared, and only the processed text data amount can be reduced by acquiring the newly-added application data, so that the preset limit value can be simply adjusted later.

According to an embodiment of the present disclosure, determining the number of newly added entities, the number of newly added resource queries, and the amount of newly added resources according to newly added application data includes: determining at least one newly added resource inquiry record and/or at least one newly added resource use record from newly added application data according to the resource use type; extracting the number of new resource inquiry times from at least one new resource inquiry record; extracting the new resource usage amount from at least one new resource usage record; and determining the number of newly added entities from at least one newly added resource query record and/or at least one newly added resource usage record.

According to embodiments of the present disclosure, resource usage types include query and usage.

According to embodiments of the present disclosure, the newly added application data may be stored in the form of a data record. Thus, the new resource inquiry record and the new resource use record of the corresponding types can be determined from the new application data according to the resource use types.

According to an embodiment of the present disclosure, the newly-added application data may include only one or more newly-added resource query records; or may include only one or more new resource usage records; one or more additional resource query records and one or more additional resource usage records may also be included.

According to the embodiment of the disclosure, after the corresponding data record is obtained from the newly-added application data according to the resource usage type, the number of newly-added resource queries, the newly-added resource usage amount and the newly-added entity number can be determined by extracting the keywords and calculating the occurrence number of the keywords.

For example, for the newly added resource usage record "100 ten thousand loans are approved from bank a", keywords including "bank a" and "100 ten thousand" are extracted. The number of newly added entities can be determined to be 1 according to the keyword 'bank A', and the usage amount of newly added resources can be determined to be '1100 ten thousand' according to the keyword '100 ten thousand'.

According to an embodiment of the present disclosure, updating a usage amount of a target resource from a preset limit value to a target limit value according to a number of newly added entities, a number of newly added resource queries, and a newly added resource usage amount, includes: determining a first pruning limit value according to the number of the newly added entities and the newly added resource usage amount; determining a second deletion limit value according to the number of newly added resource inquiry times and the number of newly added entities; determining a target pruning limit based on the first pruning limit and the second pruning limit; and invoking the target calculation subroutine code to update the usage of the target resource from the preset limit to the target limit based on the target pruning limit.

According to an embodiment of the present disclosure, the first pruning limit may be calculated by a ratio between the newly added resource usage amount and the newly added entity number. And determining a second pruning limit value through the difference value between the number of newly added resource queries and the number of newly added entities. The target pruning limit is determined by fusing the first pruning limit and the second pruning limit. After determining the target pruning limit, the usage of the target resource may be updated from the preset limit to the target limit based on the target pruning limit by invoking the target calculation subroutine code.

According to embodiments of the present disclosure, a computer device may calculate a first pruning limit, a second pruning limit, and a target pruning limit by invoking a calculation model or a code function.

According to an embodiment of the present disclosure, in calculating the first pruning limit, the second pruning limit, and the target pruning limit, the first pruning limit, the second pruning limit, and the target pruning limit may be adjusted by increasing the weight parameter.

According to an embodiment of the present disclosure, determining a first pruning limit according to the number of newly added entities and the newly added resource usage includes: according to the user identification of the target user, acquiring a first weight parameter matched with the target user from a parameter table; and invoking a first limit value calculation model, and outputting a first deletion limit value according to the number of the newly added entities, the newly added resource usage amount and the first weight parameter.

According to the embodiment of the disclosure, a plurality of target users can correspond to a plurality of first weight parameters, and therefore, the first weight parameters corresponding to the target users are determined according to the user identification of the target users before the first pruning limit value is calculated.

According to the embodiment of the disclosure, the first weight parameter may be directly obtained from the parameter table, or may be calculated according to a plurality of fields in the parameter table.

According to an embodiment of the present disclosure, the parameter table includes a user identification field, a statistics period field, a total resource usage amount of the user during the statistics period field, a user overdue number field, and a query number field.

For example, according to the user identification of the target user, a statistical time period field value matched with the target user, a total resource usage field value of the user in the statistical time period and a overdue time number field value of the user are determined in a parameter table. And calculating the average resource usage of the target user in the statistical time period according to the statistical time period field value and the total resource usage field value of the user in the statistical time period. And then determining a first weight parameter according to the value interval to which the average resource usage and the field value of the overdue times of the user belong.

According to an embodiment of the present disclosure, the larger the value interval in which the average resource usage amount is located, the smaller the value of the first weight parameter. The larger the value interval in which the user overdue number field value is located, the larger the value of the first weight parameter is.

According to an embodiment of the present disclosure, the first weight parameter may be determined according to a first sub-weight parameter determined by an average resource usage amount and a second sub-weight parameter determined by a user overdue number field value. If the first weight parameter is obtained by multiplying a sub-weight parameter by the second sub-weight parameter.

According to an embodiment of the present disclosure, after the number of newly added entities, the newly added resource usage amount, and the first weight parameter are input into the first limit value calculation model, the first limit value calculation model may calculate the first pruning limit value according to the following formula.

Wherein a represents a first weight coefficient, the value range is (0, 1), s represents the usage amount of newly added resources, and t represents the newly added entityNumber, x ₁ A first pruning limit is characterized.

According to an embodiment of the present disclosure, determining a second pruning limit according to the number of newly added resource queries and the number of newly added entities includes: acquiring a second weight parameter matched with the target user from the parameter table according to the user identification of the target user; and invoking a second limit value calculation model, and outputting a second deletion limit value according to the number of newly added entities, the number of newly added resource queries and a second weight parameter.

According to the embodiment of the disclosure, the second weight parameter may be directly obtained from the parameter table, or may be calculated according to a plurality of fields in the parameter table.

For example, according to the user identification of the target user, determining the field value of the query number field matched with the target user in the parameter table, and determining the second weight parameter according to the value interval to which the field value of the query number field belongs.

According to an embodiment of the present disclosure, the larger the field value of the query number field is, the smaller the value of the second weight parameter is.

According to an embodiment of the present disclosure, after the number of newly added entities, the number of newly added resource queries, and the second weight parameter are input into the second limit value calculation model, the second limit value calculation model may calculate the second pruning limit value according to the following formula.

x ₂ ＝(b×(p ₁ -p ₂ )) (2)

Wherein b is a second weight parameter, the value range is (0, 1), p ₁ To increase the number of resource inquiry times, p ₂ To newly increase the number of entities, x ₂ Is a second pruning limit.

The number of times of the newly added resource query can be used for characterizing the future resource application operation of the user to a certain extent through the query behavior of the user, so that the second pruning limit value is determined according to the number of newly added entities, the newly added resource usage amount and the second weight parameter, and the risk of overdue or illegal behaviors of the subsequent user can be further reduced.

According to an embodiment of the present disclosure, the target pruning limit may be calculated from the first pruning limit and the second pruning limit according to the following formula:

y＝x ₁ (1+x ₂ ) (3)

where y represents the target pruning limit.

According to another specific embodiment of the disclosure, a first weight parameter and a second weight parameter matched with a target user can be obtained from a parameter table according to a user identification of the target user; and calling a target limit value calculation model, inputting the number of newly-added entities, the newly-added resource usage amount, the newly-added resource query times, the first weight parameter and the second weight parameter into the target limit value calculation model, and outputting a target deletion limit value.

According to an embodiment of the present disclosure, the target limit value calculation model may be constituted by a first limit value calculation model and a second limit value calculation model. The target limit value calculation model calculates a target pruning limit value according to the following formula:

y＝x ₁ ×(1+b×(p ₁ -p ₂ )) (4)

the parameter representation of the formula (4) is referred to the above formulas (1) to (3), and will not be described herein.

Fig. 5 schematically illustrates a flow diagram from receiving a first instruction to sending a second instruction according to a specific embodiment of the present disclosure.

As shown in fig. 5, the flow chart 500 from receiving the first instruction to transmitting the second instruction includes operations S501 to S506.

In operation S501, a first instruction is received.

In operation S502, data is acquired. Specifically, in response to receiving the first instruction, the real-time resource status data of the current moment of the target user and the original application data can be obtained. The original application data may be directly obtained from the local cache.

According to the embodiment of the disclosure, the newly added application data can be determined according to the real-time resource state data and the original application data.

In operation S503, data is split. Specifically, according to the resource usage type, the number of newly-added entities, the number of newly-added resource inquiry times and the newly-added resource usage amount are obtained by splitting from the newly-added application data.

In operation S504, a data model is calculated. Specifically, a data model is invoked to calculate a target pruning limit.

In operation S505, the limit value is adjusted. Specifically, the target calculation subroutine code is invoked to update the usage of the target resource from the preset limit to the target limit based on the target pruning limit.

In operation S506, a second instruction is transmitted.

Fig. 6 schematically shows a block diagram of the structure of an instruction transmitting apparatus according to an embodiment of the present disclosure.

As shown in fig. 6, the instruction transmitting apparatus 600 of this embodiment includes an acquisition module 610, a first determination module 620, a second determination module 630, a third determination module 640, and a transmitting module 650.

And an obtaining module 610, configured to obtain real-time resource status data of the current moment of the target user in response to receiving a first instruction, where the first instruction is used to allow the target user to use the target resource with the preset limit value. In an embodiment, the obtaining module 610 may be configured to perform the operation S210 described above, which is not described herein.

The first determining module 620 is configured to determine newly-added application data according to the real-time resource status data and original application data, where the original application data is determined when the target user initiates the target resource application request, and the newly-added application data includes a resource usage situation of the target user newly-added at other entities from the application target resource to the current moment. In an embodiment, the first determining module 620 may be configured to perform the operation S220 described above, which is not described herein.

The second determining module 630 is configured to determine the number of newly added entities, the number of newly added resource queries, and the newly added resource usage according to the newly added application data. In an embodiment, the second determining module 630 may be configured to perform the operation S230 described above, which is not described herein.

And a third determining module 640, configured to update the usage of the target resource from the preset limit value to the target limit value according to the number of newly added entities, the number of newly added resource queries, and the usage of the newly added resource. In an embodiment, the third determining module 640 may be configured to perform the operation S240 described above, which is not described herein.

A sending module 650, configured to send a second instruction to a terminal device associated with the target user, where the second instruction is configured to allow the target user to use the target resource of the target limit value. In an embodiment, the sending module 650 may be configured to perform the operation S250 described above, which is not described herein.

According to an embodiment of the present disclosure, the acquisition module 610 includes an parsing unit, a generating unit, a transmitting unit, and a receiving unit.

The analyzing unit is used for responding to the received first instruction and analyzing the first instruction to obtain the user identification of the target user. In an embodiment, the parsing unit may be configured to perform the operation S311 described above, which is not described herein.

The generating unit is used for generating a request message according to the user identification and the timestamp of the current moment. In an embodiment, the generating unit may be configured to perform the operation S312 described above, which is not described herein.

The sending unit is used for sending a request message to the third party system through the system connection interface so that the third party system can generate real-time resource state data according to the request message. In an embodiment, the sending unit may be configured to perform the operation S313 described above, which is not described herein.

The receiving unit is used for receiving the real-time resource state data returned by the third party system. In an embodiment, the receiving unit may be configured to perform the operation S314 described above, which is not described herein.

According to an embodiment of the present disclosure, the raw application data comprises raw application reports in text form, and the real-time resource status data comprises real-time resource reports in text form.

According to an embodiment of the present disclosure, the first determination module comprises a positioning unit and a comparison unit.

And the positioning unit is used for positioning the first target area in the original application report and the second target area in the real-time resource report by identifying the target text mark.

The comparison unit is used for comparing the first resource use detail information in the first target area with the second resource use detail information in the second target area to obtain newly-added application data, wherein the first resource use detail information represents the resource use condition of the target user when the target resource application request is initiated, and the second resource use detail information represents the resource use condition of the target user at the current moment.

According to an embodiment of the present disclosure, the second determination module includes a record determination unit, a first extraction unit, a second extraction unit, and a third extraction unit.

The record determining unit is used for determining at least one newly-added resource query record and/or at least one newly-added resource use record from the newly-added application data according to the resource use type.

The first extraction unit is used for extracting the number of times of the newly added resource inquiry from at least one newly added resource inquiry record.

The second extraction unit is used for extracting the new resource usage amount from at least one new resource usage record.

The third extraction unit is used for determining the number of newly added entities from at least one newly added resource query record and/or at least one newly added resource usage record.

According to an embodiment of the present disclosure, the third determination module includes a first determination unit, a second determination unit, a third determination unit, and a fourth determination unit.

The first determining unit is configured to determine a first pruning limit value according to the number of newly added entities and the newly added resource usage amount.

The second determining unit is used for determining a second deletion limit value according to the newly added resource query times and the newly added entity number.

The third determination unit is configured to determine a target pruning limit value according to the first pruning limit value and the second pruning limit value.

The fourth determining unit is used for calling the target calculating subprogram code and updating the using amount of the target resource from the preset limiting value to the target limiting value based on the target deleting limiting value.

According to an embodiment of the present disclosure, the first determination unit includes a first determination subunit and a second determination subunit.

And the first determination subunit is used for acquiring a first weight parameter matched with the target user from the parameter table according to the user identification of the target user.

The second determining subunit is configured to invoke the first limiting value calculation model, and output a first deletion limiting value according to the number of newly added entities, the newly added resource usage amount, and the first weight parameter.

According to an embodiment of the present disclosure, the second determination unit includes a third determination subunit and a fourth determination subunit.

And the third determination subunit is used for acquiring a second weight parameter matched with the target user from the parameter table according to the user identification of the target user.

And the fourth determining subunit is used for calling a second limit value calculation model and outputting a second deletion limit value according to the number of newly-added entities, the number of newly-added resource inquiry times and a second weight parameter.

Any of the acquisition module 610, the first determination module 620, the second determination module 630, the third determination module 640, and the transmission module 650 may be combined in one module to be implemented, or any of the modules may be split into a plurality of modules according to an embodiment of the present disclosure. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module.

According to embodiments of the present disclosure, at least one of the acquisition module 610, the first determination module 620, the second determination module 630, the third determination module 640, and the transmission module 650 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable way of integrating or packaging the circuitry, or in any one of or a suitable combination of any of the three implementations of software, hardware, and firmware. Alternatively, at least one of the acquisition module 610, the first determination module 620, the second determination module 630, the third determination module 640, and the transmission module 650 may be at least partially implemented as a computer program module, which when executed, may perform the corresponding functions.

As shown in fig. 7, an electronic device 700 according to an embodiment of the present disclosure includes a processor 701 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. The processor 701 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 701 may also include on-board memory for caching purposes. The processor 701 may comprise a single processing unit or a plurality of processing units for performing different actions of the method flows according to embodiments of the disclosure.

In the RAM 703, various programs and data necessary for the operation of the electronic apparatus 700 are stored. The processor 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. The processor 701 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 702 and/or the RAM 703. Note that the program may be stored in one or more memories other than the ROM 702 and the RAM 703. The processor 701 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the present disclosure, the electronic device 700 may further include an input/output (I/O) interface 705, the input/output (I/O) interface 705 also being connected to the bus 704. The electronic device 700 may also include one or more of the following components connected to the input/output I/O interface 705: an input section 706 including a keyboard, a mouse, and the like; an output portion 707 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 708 including a hard disk or the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. The drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read therefrom is mounted into the storage section 708 as necessary.

The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: 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), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 702 and/or RAM 703 and/or one or more memories other than ROM 702 and RAM 703 described above.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowcharts. The program code, when executed in a computer system, causes the computer system to perform the methods provided by embodiments of the present disclosure.

The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 701. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed over a network medium in the form of signals, downloaded and installed via the communication section 709, and/or installed from the removable medium 711. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 709, and/or installed from the removable medium 711. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 701. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be provided in a variety of combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.

While the foregoing is directed to embodiments of the present disclosure, other and further details of the invention may be had by the present application, it is to be understood that the foregoing description is merely exemplary of the present disclosure and that no limitations are intended to the scope of the disclosure, except insofar as modifications, equivalents, improvements or modifications may be made without departing from the spirit and principles of the present disclosure.

Claims

1. An instruction sending method, comprising:

determining newly-added application data according to the real-time resource state data and original application data, wherein the original application data is determined when the target user initiates a target resource application request, and the newly-added application data comprises the newly-added resource use condition of the target user at other entities from the application of the target resource to the current moment;

determining the number of newly added entities, the number of times of newly added resource inquiry and the use amount of newly added resources according to the newly added application data;

Updating the usage amount of the target resource from the preset limit value to a target limit value according to the number of the newly-added entities, the number of the newly-added resource inquiry times and the newly-added resource usage amount; and

2. The method of claim 1, wherein the obtaining real-time resource status data for the current time of the target user in response to receiving the first instruction comprises:

responding to a first instruction, and analyzing the first instruction to obtain a user identification of the target user;

sending the request message to a third party system through a system connection interface so that the third party system generates the real-time resource state data according to the request message; and

and receiving the real-time resource state data returned by the third party system.

3. The method of claim 1, wherein the raw application data comprises raw application reports in text form, and the real-time resource status data comprises real-time resource reports in text form;

The determining the newly added application data according to the real-time resource state data and the original application data comprises the following steps:

positioning a first target area in the original application report and a second target area in the real-time resource report by identifying a target text identifier; and

comparing the first resource usage detail information in the first target area with the second resource usage detail information in the second target area to obtain the newly-added application data, wherein the first resource usage detail information characterizes the resource usage condition of the target user when the target resource application request is initiated, and the second resource usage detail information characterizes the resource usage condition of the target user at the current moment.

4. The method of claim 1, wherein the determining the number of newly added entities, the number of newly added resource queries, and the number of newly added resources based on the newly added application data comprises:

determining at least one newly added resource inquiry record and/or at least one newly added resource use record from the newly added application data according to the resource use type;

extracting the number of times of the newly added resource query from the at least one newly added resource query record;

Extracting the new resource usage amount from the at least one new resource usage record; and

determining the number of the newly added entities from the at least one newly added resource query record and/or the at least one newly added resource usage record.

5. The method of claim 1, wherein the updating the usage of the target resource from the preset limit value to a target limit value according to the number of newly added entities, the number of newly added resource queries, and the usage of newly added resources comprises:

determining a first deletion limit value according to the number of the newly added entities and the newly added resource usage amount;

determining a second deletion limit value according to the newly added resource query times and the newly added entity number;

determining a target pruning limit from the first pruning limit and the second pruning limit; and

and calling a target calculation sub-program code, and updating the usage amount of the target resource from the preset limit value to a target limit value based on the target deletion limit value.

6. The method of claim 5, wherein the determining a first pruning limit based on the number of newly added entities and the newly added resource usage comprises:

Acquiring a first weight parameter matched with the target user from a parameter table according to the user identification of the target user; and

and calling a first limit value calculation model, and outputting the first deletion limit value according to the number of the newly-added entities, the newly-added resource usage amount and the first weight parameter.

7. The method of claim 5, wherein the determining a second pruning limit based on the number of new resource queries and the number of new entities comprises:

acquiring a second weight parameter matched with the target user from a parameter table according to the user identification of the target user; and

and calling a second limit value calculation model, and outputting the second deletion limit value according to the number of the newly added entities, the newly added resource query times and the second weight parameter.

8. The method of claim 6 or 7, wherein the parameter table includes a user identification field, a statistics period field, a total resource usage of users during the statistics period field, a user expiration number field, and a query number field.

9. An instruction transmitting apparatus comprising:

the system comprises an acquisition module, a first control module and a second control module, wherein the acquisition module is used for responding to a first instruction, acquiring real-time resource state data of a target user at the current moment, and the first instruction is used for allowing the target user to use a target resource with a preset limit value;

The first determining module is used for determining newly-added application data according to the real-time resource state data and original application data, wherein the original application data are determined when the target user initiates a target resource application request, the newly-added application data represent the newly-added resource use condition of the target user at other entities from the application of the target resource to the current moment;

the second determining module is used for determining the number of newly added entities, the number of newly added resource inquiry times and the newly added resource usage amount according to the newly added application data;

a third determining module, configured to update, according to the number of newly-added entities, the number of times of querying newly-added resources, and the usage amount of newly-added resources, the usage amount of the target resources from the preset limit value to a target limit value; and

10. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-8.

11. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1-8.

12. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 8.