Declaration information processing method and device, equipment and storage medium

Abstract

This application provides a method, apparatus, device, and storage medium for processing application information, belonging to the field of big data technology. The method includes: receiving an application retrieval request sent by a review terminal, the application retrieval request including an application type; reading the data storage location and target classification model corresponding to the application type; reading target data from the data storage location, wherein the target data includes identifiers of each applicant and characteristic data corresponding to each applicant identifier; determining at least one target applicant identifier based on each applicant identifier, the characteristic data corresponding to each applicant identifier, and the target classification model; and sending application prompt information to the prompting terminal corresponding to each target applicant identifier. This method solves the problem of the difficulty for individuals and enterprises to be familiar with the application conditions.

Description

Technical Field

[0001] This application relates to the field of big data technology, and in particular to a method, apparatus, device and storage medium for processing application information. Background Technology

[0002] Individuals or businesses may need to declare matters during their production and daily life.

[0003] Currently, in existing technologies, various application, approval, and authorization processes require individuals or enterprises to be familiar with the application conditions and their own qualifications in order to determine whether they meet the application requirements.

[0004] However, the inventors have found that the existing technology has at least the following technical problems: it is difficult for individuals and enterprises to be familiar with the application requirements. Summary of the Invention

[0005] This application provides a method, apparatus, device, and storage medium for processing application information, in order to solve the problem that it is difficult for individuals and enterprises to be familiar with the application conditions.

[0006] Firstly, this application provides a method for processing application information, including:

[0007] The system receives an application retrieval request from the review terminal, which includes the application type; reads the data storage location and target classification model corresponding to the application type; reads the target data from the data storage location, where the target data includes the identifiers of each applicant and the feature data corresponding to each applicant identifier; determines at least one target applicant identifier based on the identifiers of each applicant, the feature data corresponding to each applicant identifier, and the target classification model; and sends application prompt information to the prompt terminal corresponding to each target applicant identifier.

[0008] In one possible design, based on each applicant identifier, the corresponding feature data of each applicant identifier, and the target classification model, at least one target applicant identifier is determined from among the applicant identifiers. This includes: inputting any applicant identifier and the corresponding feature data of any applicant identifier into the target classification model to obtain the identifier attribute corresponding to any applicant identifier, where the identifier attribute includes whether it belongs to the applicant identifier or not; if the identifier attribute corresponding to any applicant identifier is that it belongs to the applicant identifier, then that applicant identifier is determined as the target applicant identifier.

[0009] In one possible design, a declaration prompt message is sent to the prompt terminal corresponding to each target applicant identifier, including: finding the target contact information corresponding to the target applicant identifier; and using the target contact information to send the declaration prompt message to the corresponding prompt terminal.

[0010] In one possible design, after receiving the application retrieval request sent by the review terminal, the process further includes: obtaining the historical retrieval time of the last application retrieval request of the application type; obtaining the write time of each target data in the data storage location; determining the target data newly added after the historical retrieval time in all target data based on the write time of each target data and the historical retrieval time; and determining at least one target applicant identifier based on the newly added target data and the target classification model.

[0011] In one possible design, after sending the application prompt information to the prompting terminal corresponding to each target applicant identifier, the process further includes: recording the sending time of the application prompt information; receiving confirmation information sent by each prompting terminal and recording the receiving time of the confirmation information; calculating the time difference between the receiving time and the sending time; if the time difference is less than a preset time difference threshold, then determining the confirmation information as valid confirmation information; and combining the target applicant identifiers corresponding to each valid confirmation information into a list of applicants.

[0012] In one possible design, after identifying at least one target applicant identifier, the process also includes adding each target applicant identifier to a whitelist.

[0013] In one possible design, the whitelist corresponds to the application type; accordingly, after adding the identifiers of each target applicant to the whitelist, the process also includes: in response to receiving an application request corresponding to the application type, reading the whitelist; and adding the identifiers of each target applicant in the whitelist to the applicant list.

[0014] Secondly, this application provides an application information processing device, comprising: a request receiving module for receiving an application retrieval request sent by an audit terminal, the application retrieval request including an application type; a first reading module for reading the data storage location and target classification model corresponding to the application type; a second reading module for reading target data in the data storage location, wherein the target data includes each applicant identifier and each feature data corresponding to each applicant identifier; a first determining module for determining at least one target applicant identifier based on each applicant identifier, each applicant identifier corresponding to each applicant identifier, and the target classification model; and an information sending module for sending application prompt information to the prompting terminal corresponding to each target applicant identifier.

[0015] Thirdly, this application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0016] The memory stores instructions that the computer executes;

[0017] The processor executes computer execution instructions stored in memory, causing the processor to perform the declaration information processing method as described in the first aspect.

[0018] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the declaration information processing method as described in the first aspect.

[0019] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the declaration information processing method as described in the first aspect.

[0020] The application information processing method, apparatus, equipment, and storage medium provided in this application receive an application retrieval request sent by an audit terminal, locate the data storage location and target classification model corresponding to the application type in the application retrieval request, read the target data from the data storage location, and obtain at least one target applicant identifier using the target data and target classification model. Application prompt information is then sent to the target applicant identifier. This eliminates the need for individuals or enterprises to determine whether they meet the application requirements; instead, the application processing party filters existing data to directly obtain applicants who meet the application requirements. This reduces the application burden and difficulty for individuals or enterprises, and because it reads target data corresponding to the application type, it reduces the amount of data processed. Attached Figure Description

[0021] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0022] Figure 1 This is a schematic diagram illustrating an application scenario for the application information processing method provided in the embodiments of this application;

[0023] Figure 2 A flowchart illustrating the application information processing method provided in this embodiment of the application;

[0024] Figure 3 A schematic diagram of the overall interactive flow of the application information processing method provided in this embodiment of the application;

[0025] Figure 4 This is a schematic diagram of the structure of the application information processing device provided in the embodiments of this application;

[0026] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0027] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0028] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0029] In the course of an individual's or business's production and daily life, there will be a need to report certain matters.

[0030] When submitting an application, it is necessary to understand the application requirements and one's own qualifications to determine if one meets the requirements. Only if one meets the requirements can the application be submitted. However, due to the large number of applications, it is difficult to calculate the application requirements for each one, making it challenging to find an eligible application among the many available options.

[0031] This application is applied to scenarios involving the processing of declared information. The collection, storage, use, processing, transmission, provision, and disclosure of financial data or user data involved in the technical solution of this application all comply with relevant laws and regulations and do not violate public order and good morals.

[0032] Figure 1 This is a schematic diagram illustrating an application scenario for the application information processing method provided in this embodiment. For example... Figure 1 In this scenario, the following components are included: audit terminal 101, server 102, and prompt terminal 103.

[0033] Both the audit terminal 101 and the prompting terminal 103 can include computers, servers, tablets, mobile phones, PDAs (personal digital assistants), and laptops, etc., which can input, transmit, and output data.

[0034] Server 102 can be implemented using a single server or a cluster of multiple servers with more powerful processing capabilities and higher security. Where possible, it can also be replaced by a computer or laptop with strong computing power.

[0035] The connection between the audit terminal 101, the prompt terminal 103, and the server 102 can be either a wired connection or a wireless network connection. The wireless network connection can use various types of wired and wireless networks, such as, but not limited to: the Internet, local area network, Wireless Fidelity (WIFI), Wireless Local Area Networks (WLAN), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), 2G / 3G / 4G / 5G cellular networks, satellite communication networks, etc.

[0036] In the specific implementation process, the review terminal 101 is used to receive the application acquisition request input by the staff and send the application acquisition request to the server 102.

[0037] Server 102 is used to obtain the corresponding data based on the received application request, filter the data to obtain the identifier of the target applicant who can apply, and send the prompt information to the prompt terminal 103 corresponding to the target applicant identifier.

[0038] The prompt terminal 103 is used to display prompt information. It can also be used to receive confirmation information entered by the user and send the confirmation information to the server 102.

[0039] It is understood that the structure illustrated in the embodiments of this application does not constitute a specific limitation on the method for processing application information. In other feasible embodiments of this application, the above architecture may include more or fewer components than illustrated, or combine some components, or split some components, or arrange different components, which can be determined according to the actual application scenario and is not limited here. Figure 1 The scenario shown can be implemented by hardware, software, or a combination of both.

[0040] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0041] Figure 2 This is a flowchart illustrating the application information processing method provided in this embodiment. The execution entity of this embodiment may be... Figure 1 The server 102 in this embodiment can also be a computer and / or a mobile phone, etc., and this embodiment does not impose any special restrictions on it. Figure 2 As shown, the method includes:

[0042] S201: Receive the application retrieval request sent by the review terminal. The application retrieval request includes the application type.

[0043] In this step, the application retrieval request can be input by the user into the review terminal, and can be a message, data packet, etc. The application retrieval request can also be received by the review terminal in response to the staff's input of the application type name marked with an "application-free" label in the matter management system.

[0044] S202: Read the data storage location and target classification model corresponding to the application type.

[0045] In this step, the data storage location and target classification model can be retrieved by finding the pre-defined correspondence between application types and data storage locations, and the pre-defined correspondence between application types and target classification models, to obtain the data storage location and target classification model corresponding to the application type.

[0046] The corresponding relationships can be pre-configured by staff. If the application type corresponds to an application related to a natural person, the data storage location can be the same as the storage location for the natural person's data. If the application type corresponds to an application related to a legal person, the data storage location can be the same as the storage location for the legal person's data.

[0047] For example, if the application type is type A, then the pre-defined correspondence between application types and data storage locations is looked up to obtain the data storage location "F / storage" corresponding to type A. Then, the pre-defined correspondence between application types and target classification models is looked up to obtain the target classification model "Classification Model 1" corresponding to type A. This application embodiment does not impose specific limitations on the application type, data storage location, or target classification model.

[0048] S203: Read the target data from the data storage location, where the target data includes the identifiers of each applicant and the characteristic data corresponding to each applicant identifier.

[0049] In this step, the target data can be data stored in a data storage location, the applicant identifier can be the applicant's corresponding number or name, and the feature data can be data related to the applicant's own conditions. The stored feature data can be obtained in advance from an external server, or it can be obtained and stored in advance from existing data.

[0050] The applicant can be either a natural person or a legal person.

[0051] S204: Based on each applicant identifier, the corresponding feature data of each applicant identifier, and the target classification model, determine at least one target applicant identifier.

[0052] In this step, the target classification model can be used to input pairs of applicant identifiers and their corresponding feature data to obtain at least one target applicant identifier. The target classification model can be a neural network model or a decision tree model. Before inputting the target classification model, the feature data can be transformed using pre-configured production rules to obtain input-ready feature data.

[0053] Among them, the target applicant identifier can be the applicant identifier.

[0054] S205: Send application prompt information to the prompt terminal corresponding to the identifier of each target applicant.

[0055] In this step, you can find the correspondence between the identifiers and contact information of each target applicant, obtain the corresponding contact information, and send the application reminder information using the contact information.

[0056] The application prompt message can be generated based on the application type. Specifically, it can be generated by replacing the field to be replaced in a preset statement with the application type or the type name corresponding to the application type. For example, if the name corresponding to the application type is "Project A" and the preset statement is "You meet the application conditions for X. Please confirm whether you want to apply. If you want to apply, please reply Y. If you don't want to apply, please ignore this." In the preset statement, "X" is the field to be replaced. After replacement, the resulting application prompt message will be "You meet the application conditions for Project A. Please confirm whether you want to apply. If you want to apply, please reply Y. If you don't want to apply, please ignore this."

[0057] As can be seen from the description of the above embodiments, this application embodiment receives the application retrieval request sent by the review terminal, finds the data storage location and target classification model corresponding to the application type in the application retrieval request, reads the target data from the data storage location, and uses the target data and target classification model to obtain at least one target applicant identifier. It then sends an application prompt message to the target applicant identifier, thereby eliminating the need for individuals or enterprises to determine whether they meet the application conditions. Instead, the application processing party filters the existing data to directly obtain applicants who meet the application conditions, thus reducing the application burden and difficulty for individuals or enterprises. Furthermore, since the target data corresponding to the application type is read, the amount of data processing can be reduced.

[0058] In one possible implementation, in step S204 above, based on each applicant identifier, the corresponding feature data of each applicant identifier, and the target classification model, at least one target applicant identifier is determined from among the applicant identifiers, specifically including:

[0059] S2041: Input any applicant identifier and its corresponding feature data into the target classification model to obtain the identifier attribute corresponding to any applicant identifier. The identifier attribute includes whether it belongs to the applicant identifier or not.

[0060] In this step, the input feature data can be a portion of all feature data, or it can be a subset of target feature data determined based on the application type. This target feature data is then input into the target classification model to improve its accuracy. Identification attributes can be represented by numbers or letters; for example, 1 represents belonging to the identifier to be applied for, and 0 represents not belonging to the identifier to be applied for. Alternatively, Y represents belonging to the identifier to be applied for, and N represents not belonging to the identifier to be applied for.

[0061] S2042: If any applicant identifier corresponds to an identifier attribute that belongs to an applicant identifier, then that applicant identifier shall be identified as the target applicant identifier.

[0062] For example, if the identifier "001" corresponds to the identifier attribute "1", then the identifier "001" will be identified as the target identifier. As another example, if the identifier "A201" corresponds to the identifier attribute "Y", then the identifier "A201" will be identified as the target identifier.

[0063] As can be seen from the description of the above embodiments, the embodiments of this application input any applicant identifier and the feature data corresponding to the applicant identifier into the target classification model to obtain the identifier attribute output by the model. When the identifier attribute belongs to the applicant identifier, the applicant identifier is used as the target applicant identifier. This achieves the effect of filtering applicant identifiers according to the feature data corresponding to the applicant identifier, obtaining the target applicant identifier that meets the conditions, which facilitates the subsequent sending of application prompt information.

[0064] In one possible implementation, step S205 above, sending a declaration prompt message to the prompt terminal corresponding to each target applicant's identifier, specifically includes:

[0065] S2051: Find the target contact information corresponding to the target applicant's identifier.

[0066] In this step, the correspondence between the applicant's identifier and contact information can be found based on the applicant's identifier to obtain the target contact information. The target contact information can also be a type of feature data, thus directly corresponding to the applicant's identifier.

[0067] The mapping between the applicant's identifier and contact information can be saved after the user terminal reports its own identifier and contact information. The mapping can be in the form of a table, key-value pairs, etc.

[0068] S2052: Use the target contact method to send the declaration prompt information to the corresponding prompt terminal.

[0069] In this step, a declaration prompt message may be sent to the target contact information, so that the declaration prompt message is sent to the prompt terminal.

[0070] This step can also involve determining the target format of the contact information and sending the declaration notification information to the notification terminal using the sending method corresponding to the target format. Determining the target format can be done by checking if the target contact information contains preset characters. For example, if it contains the character "@", the target contact information is an email address; if it consists entirely of numbers, it is a telephone number; if it contains Chinese characters or a specific string, it is an address. If the target contact information is a telephone number, the declaration notification information is sent to the notification terminal via SMS. If the target contact information is an email address, the declaration notification information is sent to the notification terminal via email.

[0071] The content of the text message or email can be described as in step S205 above, and will not be repeated here.

[0072] As can be seen from the description of the above embodiments, this application embodiment obtains the target contact information by finding the contact information corresponding to the target applicant's identifier, and sends the application prompt information to the prompting terminal using the target contact information. This achieves the effect of prompting eligible applicants to submit their applications, reducing the process for applicants to prepare materials and confirm their eligibility for application, and reducing the difficulty of the application process for applicants.

[0073] In one possible implementation, after sending the declaration prompt information to the corresponding prompting terminal in step S2052 above, the target data corresponding to the target contact information will also be marked as initiated.

[0074] In one possible implementation, after receiving the application retrieval request sent by the review terminal in step S201 above, the method further includes:

[0075] S210: Get the historical acquisition time of the last application type application acquisition request received.

[0076] In this step, the historical acquisition time can be recorded each time an application acquisition request is received. The historical acquisition time of the last received application acquisition request can refer to the time when the application acquisition request of the application type in S201 was most recently received before S201.

[0077] For example, if the requests for application type A are received on January 1, 2021, June 1, 2021, and January 1, 2022, where January 1, 2022 is the date of the current receipt of the request for application type A, then the historical acquisition date of the last received request for application type A is June 1, 2021. This embodiment of the application does not impose specific limitations on the exact time of the historical acquisition.

[0078] S211: Obtain the write time of each target data in the data storage location.

[0079] In this step, the write time can be recorded when each target data is written. The recording method can be to obtain the timestamp when writing data to get the write time. The obtained write time can be stored together with the target data or written into the target data.

[0080] The write time can be obtained by reading the write time from the target data, or by reading the write time from the target data.

[0081] S212: Based on the write time and historical acquisition time of each target data, determine the target data added after the historical acquisition time among all target data.

[0082] In this step, target data whose corresponding write time is after the historical acquisition time can be identified as newly added target data.

[0083] For example, if the current historical acquisition time is January 1, 2021, and the corresponding write times for target data A, B, C, and D are June 10, 2020, February 2, 2021, April 1, 2021, and May 21, 2021, respectively, then B, C, and D are newly added target data.

[0084] S213: Based on the newly added target data and target classification model, determine at least one target applicant identifier.

[0085] In this step, which is similar to step S204 above, the data used has changed from the target data to newly added target data, which will not be described again here.

[0086] Step S205 can be performed after step S213.

[0087] As can be seen from the description of the above embodiments, this application embodiment obtains the historical acquisition time of the last received application type application acquisition request, obtains the writing time of the target data, compares the historical acquisition time and each writing time, obtains the target data added after the historical acquisition time, and obtains at least one target applicant identifier from the newly added target data and the target classification model. This achieves the effect of obtaining a new applicant identifier based on the data added after the last received application acquisition request, reducing the repeated screening process, reducing the amount of calculation and the number of subsequent application prompt messages sent.

[0088] In one possible implementation, after sending the declaration prompt information to the prompting terminal corresponding to each target applicant's identifier in step S204 or S213, the method further includes:

[0089] S214: Record the time when the declaration prompt information was sent.

[0090] In this step, the timestamp can be obtained when the declaration notification message is sent, thus obtaining the sending time. Alternatively, the sending time can be the date the declaration notification message was sent.

[0091] S215: Receive confirmation messages sent by each prompting terminal and record the time of receipt of the confirmation messages.

[0092] In this step, the confirmation message can be received via wired or wireless means. The time of receipt of the confirmation message can be obtained by obtaining a timestamp upon receipt of the confirmation message. Alternatively, the time of receipt of the confirmation message can be the date on which the confirmation message was received.

[0093] S216: Calculate the time difference between the receiving time and the sending time.

[0094] In this step, the time difference can be obtained by subtracting the sending time from the receiving time.

[0095] S217: If the time difference is less than the preset time difference threshold, the confirmation message is determined to be a valid confirmation message.

[0096] In this step, the preset time difference threshold can be pre-calibrated by the staff, and the calibration method can be based on the application requirements.

[0097] S218: Combine the target applicant identifiers corresponding to each valid confirmation information into a list of applicants.

[0098] In this step, the identifiers of the target applicants corresponding to the valid confirmation information can be written into a table or document to obtain a list of applicants.

[0099] As can be seen from the description of the above embodiments, the embodiments of this application record the sending time of the prompt information and the receiving time of the confirmation information, determine the confirmation information whose receiving time and sending time difference is less than a preset time difference threshold as valid confirmation information, and combine the valid confirmation information into a list of applicants to be reviewed, so as to achieve the effect of filtering the confirmation information according to preset requirements and facilitating subsequent unified processing.

[0100] In one possible implementation, after determining the confirmation information as valid in step S217, the method further includes: recording the characteristic data information of the confirmation information, i.e., the case information corresponding to the confirmation information. The server will automatically identify and distinguish between cases that receive confirmation information and cases that are actively submitted by the user, optimize the processing of cases that receive confirmation information, reduce approval steps and processes, efficiently process the matters that the user wants to enjoy, and complete the final reward and subsidy payment.

[0101] In one possible implementation, after determining at least one target applicant identifier in step S204 or S213 above, the method further includes:

[0102] S219: Add the identifiers of each target applicant to the whitelist.

[0103] In this step, the target applicant's identifier can be written into a whitelist table or document. The whitelist corresponds to the application type, and each application type can have its own whitelist.

[0104] As can be seen from the description of the above embodiments, this application embodiment adds the identifiers of each applicant to a whitelist, which facilitates the subsequent direct use of the target applicant identifiers in the whitelist and the applicant identifiers corresponding to the newly added target data to send application prompt information.

[0105] In one possible implementation, the whitelist corresponds to the application type.

[0106] Accordingly, after adding the identifiers of each target applicant to the whitelist in step S219 above, the process also includes:

[0107] S220: In response to receiving a request for application acquisition corresponding to the application type, read the whitelist.

[0108] In this step, receiving the application request corresponding to the application type can occur after receiving another application request of the same application type in step S201. The method for reading the whitelist can be to look up the correspondence between the application type and the whitelist name, obtain the whitelist name corresponding to this application type, and then read the whitelist corresponding to the application type from the obtained whitelist name.

[0109] S221: Add the identifiers of each target applicant in the whitelist to the list of applicants.

[0110] In this step, the contents of the whitelist can be read to obtain the identifiers of each target applicant in the whitelist, and the obtained identifiers of each target applicant can be written into the applicant list.

[0111] As can be seen from the description of the above embodiments, this application embodiment, in response to receiving the application acquisition request corresponding to the application type, reads the existing whitelist and adds the identifiers of each target applicant in the whitelist to the applicant list, thereby realizing the direct addition of the applicant identifiers that have already entered the whitelist to the applicant list.

[0112] In one possible implementation, after step S221 adds each target applicant identifier from the whitelist to the applicant list, or after step S218 combines the target applicant identifiers corresponding to each valid confirmation information into the applicant list, the implementation further includes: S222 or S223.

[0113] S222: Send the application type, the list of applicants, and the characteristic data corresponding to each applicant identifier in the list to the application server, so that the application server can apply for and obtain the distribution details data based on the application type, the list of applicants, and the characteristic data corresponding to each applicant identifier in the list, and receive the distribution details data sent by the processing server, and distribute the reward to the account corresponding to each target applicant identifier in the list according to the distribution details data.

[0114] S223: If the application type is a pre-defined self-built item, then the application will be processed based on the application type, the list of applicants, and the characteristic data corresponding to the identifiers of each applicant in the list of applicants to obtain the distribution details data. The reward will be distributed to the account corresponding to each target applicant identifier in the list of applicants based on the distribution details data.

[0115] As can be seen from the description of the above embodiments, this application embodiment determines whether the application type belongs to a self-built item. If it belongs to a self-built item, it processes the application and issues the reward. If it does not belong to a self-built item, it sends the application type, the list of applicants, and the feature data corresponding to each applicant identifier in the list to the application server, so that the application server can determine which applicant identifiers can be awarded rewards and then issue the rewards.

[0116] Figure 3 This is a schematic diagram of the overall interactive flow of the application information processing method provided in the embodiments of this application. For example... Figure 3 As shown, when the whitelist is provided by an external server, the overall process of processing the declaration information includes the following steps:

[0117] S301: The application information processing server sends the application type to the external server.

[0118] In this step, the application type can be triggered by the receiving staff terminal to any application type from a preset list of application types, which can be found on a webpage. After receiving a trigger for an application type, the corresponding application conditions can be sent to the staff terminal.

[0119] S302: The external server sends a whitelist to the server.

[0120] In this step, the whitelist can be obtained by the collection terminal, through data sharing, or generated historically.

[0121] S303: Import whitelist into the declaration information processing server.

[0122] S304: The declaration information processing server sends declaration prompt information to the prompting terminal according to the whitelist.

[0123] S305: The declaration information processing server receives the confirmation information sent by the prompting terminal.

[0124] In this step, if the user has not registered, they can register and then confirm the information. Registered users can trigger the confirmation button on the webpage to send confirmation information.

[0125] S306: The declaration information processing server combines the target applicant identifiers corresponding to the received confirmation information into a list of applicants.

[0126] S307: The application information processing server determines whether the application type belongs to a self-built item. If it belongs to a self-built item, it executes steps S308 to S310. If it does not belong to a self-built item, it executes steps S311 to S312.

[0127] S308: The application information processing server applies for and obtains the issuance details data based on the application type, the list of applicants, and the characteristic data corresponding to the identifiers of each applicant in the list.

[0128] S309: The declaration information processing server will send the issuance details data to an external server.

[0129] S310: The external server distributes rewards based on the distribution details data and obtains the subsidy distribution data.

[0130] S311: The application information processing server sends the application type, the list of applicants to be submitted, and the characteristic data corresponding to the identifiers of each applicant in the list to an external server.

[0131] S312: The external server applies for and obtains the disbursement details data based on the application type, the list of applicants to be submitted, and the characteristic data corresponding to the identifiers of each applicant in the list of applicants to be submitted. Based on the disbursement details data, the server distributes the rewards to the accounts corresponding to the identifiers of each target applicant in the list of applicants to be submitted, and obtains the subsidy disbursement data.

[0132] S313: The external server sends the subsidy disbursement data to the application information processing server.

[0133] S314: The application information processing server records subsidy disbursement data.

[0134] Figure 4 This is a schematic diagram of the application information processing device provided in an embodiment of this application. Figure 4 As shown, the application information processing device 400 includes: a request receiving module 401, a first reading module 402, a second reading module 403, a first determining module 404, and an information sending module 405.

[0135] The request receiving module 401 is used to receive the application acquisition request sent by the review terminal. The application acquisition request includes the application type.

[0136] The first reading module 402 is used to read the data storage location and target classification model corresponding to the application type;

[0137] The second reading module 403 is used to read the target data in the data storage location, wherein the target data includes the identifier of each applicant and the feature data corresponding to each applicant identifier;

[0138] The first determination module 404 is used to determine at least one target applicant identifier based on each applicant identifier, the feature data corresponding to each applicant identifier, and the target classification model.

[0139] The information sending module 405 is used to send application prompt information to the prompt terminal corresponding to the identifier of each target applicant.

[0140] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0141] In one possible implementation, the identifier determination module 404 is specifically used to input any applicant identifier and the feature data corresponding to any applicant identifier into the target classification model to obtain the identifier attribute corresponding to any applicant identifier. The identifier attribute includes whether it belongs to the applicant identifier or does not belong to the applicant identifier. If the identifier attribute corresponding to any applicant identifier is that it belongs to the applicant identifier, then the applicant identifier is determined as the target applicant identifier.

[0142] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0143] In one possible implementation, the information sending module 405 is specifically used to find the target contact information corresponding to the target applicant's identifier; and using the target contact information, to send an application prompt message to the corresponding prompt terminal.

[0144] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0145] In one possible implementation, the declaration information processing device 400 further includes a second determining module 406.

[0146] The second determining module 406 is used to obtain the historical acquisition time of the last application type application acquisition request; obtain the write time of each target data in the data storage location; determine the target data added after the historical acquisition time in all target data according to the write time of each target data and the historical acquisition time; and determine at least one target applicant identifier according to the newly added target data and the target classification model.

[0147] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0148] In one possible implementation, the declaration information processing device 400 further includes a list determination module 407.

[0149] The list determination module 407 is used to record the sending time of the declaration prompt information; receive the confirmation information sent by each prompt terminal and record the receiving time of the confirmation information; calculate the time difference between the receiving time and the sending time; if the time difference is less than the preset time difference threshold, the confirmation information is determined to be valid confirmation information; and combine the target applicant identifiers corresponding to each valid confirmation information into a list of applicants.

[0150] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0151] In one possible implementation, the declaration information processing device 400 further includes an identification adding module 408.

[0152] The identifier addition module 408 is used to add the identifiers of each target applicant to the whitelist.

[0153] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0154] In one possible implementation, the whitelist corresponds to the application type; the declaration information processing device 400 also includes a list addition module 409.

[0155] The list addition module 409 is used to respond to the received application request corresponding to the application type, read the whitelist, and add the identifiers of each target applicant in the whitelist to the applicant list.

[0156] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0157] To implement the above embodiments, this application also provides an electronic device.

[0158] refer to Figure 5 The diagram illustrates a structural schematic of an electronic device 500 suitable for implementing embodiments of this application. The electronic device 500 can be a terminal device or a server. The terminal device can include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, personal digital assistants (PDAs), portable Android devices (PADs), portable media players (PMPs), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 5 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0159] like Figure 5As shown, the electronic device 500 may include a processor (e.g., a central processing unit, a graphics processing unit, etc.) 501 and a memory 502 communicatively connected to the processor. The processor can perform various appropriate actions and processes based on programs stored in the memory 502, computer-executed instructions, or programs loaded from the storage device 508 into the random access memory (RAM) 503, implementing the declaration information processing method in any of the above embodiments. The memory may be a read-only memory (ROM). The RAM 503 also stores various programs and data required for the operation of the electronic device 500. The processing device 501, the memory 502, and the RAM 503 are interconnected via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0160] Typically, the following devices can be connected to I / O interface 505: input devices 506 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 507 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 508 including, for example, magnetic tapes, hard disks, etc.; and communication devices 509. Communication device 509 allows electronic device 500 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 5 An electronic device 500 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively.

[0161] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable storage medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 509, or installed from a storage device 508, or installed from a memory 502. When the computer program is executed by the processing device 501, it performs the functions defined in the methods of the embodiments of this application.

[0162] It should be noted that the computer-readable storage medium described above in this application can be a computer-readable signal medium or a computer storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable storage medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable storage medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0163] The aforementioned computer-readable storage medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0164] The aforementioned computer-readable storage medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to perform the method shown in the above embodiments.

[0165] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof. These programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, and C++—and conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0166] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0167] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the units do not necessarily limit the module itself; for example, a request receiving module can also be described as a "request receiving module".

[0168] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

[0169] This application also provides a computer-readable storage medium storing computer-executable instructions. When a processor executes the computer-executable instructions, it implements the technical solution of the declaration information processing method in any of the above embodiments. Its implementation principle and beneficial effects are similar to those of the declaration information processing method. Please refer to the implementation principle and beneficial effects of the declaration information processing method. It will not be repeated here.

[0170] In the context of this application, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0171] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the technical solution of the declaration information processing method in any of the above embodiments. Its implementation principle and beneficial effects are similar to those of the declaration information processing method, and can be found in the implementation principle and beneficial effects of the declaration information processing method, which will not be repeated here.

[0172] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of disclosure in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this application.

[0173] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0174] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for processing declaration information, characterized in that, include: The system receives a request for obtaining an application from the review terminal. The request includes the application type. The request is received by the review terminal in response to the staff's selection of the application type name marked with an application-exempt label in the item management system. Based on the preset correspondence between application types and data storage locations, and the preset correspondence between application types and target classification models, the data storage location and target classification model corresponding to the application type are determined. Read the target data from the data storage location, wherein the target data includes the identifier of each applicant and the feature data corresponding to each applicant identifier; Input any applicant identifier and the feature data corresponding to the applicant identifier into the target classification model to obtain the identifier attribute corresponding to the applicant identifier. The identifier attribute includes whether it belongs to the applicant identifier or does not belong to the applicant identifier. If the identifier attribute corresponding to any of the applicant identifiers is an identifier to be declared, then the applicant identifier is determined as the target applicant identifier; Send application prompt information to the prompt terminal corresponding to the identifier of each target applicant; After receiving the application retrieval request sent by the review terminal, the method further includes: Retrieve the historical acquisition time of the last received application acquisition request for the aforementioned application type; Obtain the write time of each target data in the data storage location; Based on the writing time of each target data and the historical acquisition time, determine the target data added after the historical acquisition time among all target data; Based on the newly added target data and the target classification model, at least one target applicant identifier is determined; Each applicant's identifier is added to a whitelist; the whitelist corresponds to the application type. Upon receiving a request for application acquisition corresponding to the application type, the whitelist is read. Add the identifiers of each target applicant from the whitelist to the applicant list.

2. The method according to claim 1, characterized in that, Sending application notification information to the notification terminal corresponding to each target applicant's identifier includes: Find the target contact information corresponding to the target applicant's identifier; Using the target contact method, a declaration prompt message is sent to the corresponding prompt terminal.

3. The method according to claim 1 or 2, characterized in that, After sending the declaration prompt information to the prompt terminal corresponding to each target applicant's identifier, the process further includes: Record the time when the declaration prompt information was sent; Receive confirmation messages from each notification terminal and record the time of receipt of the confirmation messages; Calculate the time difference between the receiving time and the sending time; If the time difference is less than a preset time difference threshold, then the confirmation information is determined to be valid confirmation information; The identifiers of the target applicants corresponding to each valid confirmation are combined into a list of applicants.

4. A device for processing declaration information, characterized in that, include: The request receiving module is used to receive an application retrieval request sent by the review terminal. The application retrieval request includes the application type. The application retrieval request is received by the review terminal in response to the staff's response to the application type name marked with the application exemption label in the item management system. The first reading module is used to determine the data storage location and target classification model corresponding to the application type based on the preset correspondence between application type and data storage location and the preset correspondence between application type and target classification model. The second reading module is used to read the target data in the data storage location, wherein the target data includes the identifier of each applicant and the feature data corresponding to each applicant identifier; The first determining module is used to input any applicant identifier and the feature data corresponding to the applicant identifier into the target classification model to obtain the identifier attribute corresponding to the applicant identifier, wherein the identifier attribute includes whether it belongs to the applicant identifier or does not belong to the applicant identifier. If the identifier attribute corresponding to any of the applicant identifiers is an identifier to be declared, then the applicant identifier is determined as the target applicant identifier; The information sending module is used to send application prompt information to the prompt terminal corresponding to the identifier of each target applicant; The second determining module is used to obtain the historical acquisition time of the last time the application acquisition request of the application type was received; and to obtain the write time of each target data in the data storage location. Based on the writing time of each target data and the historical acquisition time, determine the target data newly added after the historical acquisition time among all target data; based on the newly added target data and the target classification model, determine at least one target applicant identifier; The identifier addition module is used to add the identifiers of each target applicant to the whitelist; the whitelist corresponds to the application type. The list addition module is used to respond to receiving a declaration acquisition request corresponding to the application type, read the whitelist, and add the identifiers of each target applicant in the whitelist to the applicant list.

5. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the declaration information processing method as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the declaration information processing method as described in any one of claims 1 to 3.

7. A computer program product, characterized in that, It includes a computer program that, when executed by a processor, implements the declaration information processing method as described in any one of claims 1 to 3.

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