Method, device, equipment and storage medium for determining welfare fund allocation plan

Abstract

The present disclosure provides a method, device, equipment and storage medium for determining a welfare fund allocation plan, and relates to the field of information processing technology. The specific implementation scheme is: obtaining the welfare fund amount corresponding to the target user; determining M candidate welfare fund allocation plans for the target user based on the welfare fund amount and the portrait information of the target user, where M is an integer greater than or equal to 1. According to the technology of the present disclosure, the personalized needs of different employees for welfare protection can be met, so that the company's expenditures are utilized to the maximum extent and the sense of belonging of employees is improved. At the same time, the welfare fund management system helps employees determine candidate welfare fund allocation plans based on the portrait information of different employees, greatly reducing the time spent by employees in choosing welfare protection systems, and ensuring that employees who know less about welfare protection measures can choose the welfare protection plan that best suits them.

Description

Technical Field

[0001] The present disclosure relates to the field of information processing technology, and in particular to a method, device, equipment and storage medium for determining a welfare allocation plan. Background Art

[0002] Today, as the economy develops rapidly and competition among enterprises is particularly fierce, whether it is the pressure of industrial upgrading brought about by the macro-economic environment, or the constant challenges of peer competition and cross-border opponents, the pressure of internal operational management and the increasingly difficult to meet customer demands, all make companies, especially middle and senior management teams, exhausted. The team is prone to various health problems and health risks are everywhere.

[0003] In view of this, more and more companies choose to incorporate employee welfare protection systems into corporate culture, aiming to provide employees with solid support for their hard work outside. Summary of the invention

[0004] The present disclosure provides a method, device, equipment and storage medium for determining a welfare fund allocation plan.

[0005] According to one aspect of the present disclosure, a method for determining a welfare benefit allocation scheme is provided, comprising:

[0006] Get the corresponding benefit amount of the target user;

[0007] Based on the amount of the welfare fund and the profile information of the target user, M candidate welfare fund allocation plans for the target user are determined, where M is an integer greater than or equal to 1.

[0008] According to another aspect of the present disclosure, there is provided a device for determining a welfare fund allocation scheme, comprising:

[0009] The quota acquisition module is used to obtain the corresponding welfare amount of the target user;

[0010] The plan determination module is used to determine M candidate welfare fund allocation plans for the target user based on the welfare fund amount and the profile information of the target user, where M is an integer greater than or equal to 1.

[0011] According to another aspect of the present disclosure, there is provided an electronic device, comprising:

[0012] at least one processor; and

[0013] a memory communicatively connected to the at least one processor; wherein,

[0014] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method in any embodiment of the present disclosure.

[0015] According to another aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided. The computer instructions are used to enable a computer to execute the method in any embodiment of the present disclosure.

[0016] According to the technology disclosed in the present invention, the personalized needs of different employees for welfare protection can be met, so that the expenditure of the enterprise can be used to the maximum extent, and the sense of belonging of employees can be improved. At the same time, the welfare fund management system helps employees determine candidate welfare fund allocation plans based on the portrait information of different employees, greatly reducing the time spent by employees in choosing welfare protection systems, and ensuring that employees who know less about welfare protection measures can choose the welfare protection plan that best suits them.

[0017] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0019] Figure 1 The process diagram of the method for determining the welfare allocation plan according to an embodiment of the present disclosure is as follows Figure 1 ;

[0020] Figure 2 The process diagram of the method for determining the welfare allocation plan according to an embodiment of the present disclosure is as follows Figure 2 ;

[0021] Figure 3 The process diagram of the method for determining the welfare allocation plan according to an embodiment of the present disclosure is as follows Figure 3 ;

[0022] Figure 4 A schematic diagram of a device for determining a welfare fund allocation plan according to an embodiment of the present disclosure Figure 1 ;

[0023] Figure 5 A schematic diagram of a device for determining a welfare fund allocation plan according to an embodiment of the present disclosure Figure 2 ;

[0024] Figure 6 A schematic diagram of a device for determining a welfare fund allocation plan according to an embodiment of the present disclosure Figure 3 ;

[0025] Figure 7 The present invention is a block diagram of an electronic device for implementing the method for determining the welfare benefit allocation scheme according to the embodiment of the present disclosure. DETAILED DESCRIPTION

[0026] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0027] The existing welfare benefits that can be provided to employees are often that companies uniformly purchase the same insurance or protection for all employees. However, in reality, there may be problems such as new employees already enjoying similar welfare benefits, or different employees cannot fully enjoy the uniformly purchased welfare benefits due to differences in family background information or simple gender or age.

[0028] In order to ensure that the welfare benefits provided by the enterprise can meet the personalized needs of different employees as much as possible, improve the core competitiveness of the enterprise in the recruitment stage and the sense of belonging of employees, this application provides a method for determining the welfare allocation plan. Figure 1 The figure is a flowchart of a method for determining a welfare payment allocation plan according to an embodiment of the present disclosure, comprising:

[0029] S110, obtaining the corresponding welfare amount of the target user;

[0030] S120, determining M candidate welfare allocation plans for the target user based on the welfare amount and the target user's portrait information, where M is an integer greater than or equal to 1.

[0031] Exemplarily, the above method can be used in a welfare fund management system. An enterprise can enter the enterprise's structural information, including the contact information, titles or levels of different employees, into the system in advance. During the period of issuing employee welfare benefits, the system can automatically obtain the welfare amount corresponding to different employees based on the enterprise's structural information, so as to provide personalized welfare fund allocation plans for different employees to choose from.

[0032] Furthermore, after obtaining the amount of welfare funds, the welfare fund management system can inform employees to log in to the system and select welfare benefits in the form of text messages or emails. When new employees log in to the system for the first time, they need to fill in and complete their own portrait information. Old employees can also choose to modify their own portrait information. The portrait information includes but is not limited to gender, age, family member information, and welfare benefits they have already enjoyed, so that the system can subsequently determine multiple candidate allocation plans corresponding to the current employee.

[0033] By adopting the method of the above embodiment, the enterprise can use fixed welfare security project expenditures to meet the personalized needs of different employees for welfare security, so that the enterprise's expenditures are used to the maximum extent and the sense of belonging of employees is improved. At the same time, the welfare fund management system helps employees determine candidate welfare fund allocation plans based on the portrait information of different employees, greatly reducing the time spent by employees in choosing welfare security systems, and ensuring that employees who know less about welfare security measures can choose the welfare security plan that best suits them.

[0034] For example, Figure 2 As shown, step S120 includes:

[0035] S211, according to the amount of welfare funds, determine N welfare fund allocation plans whose required amounts are less than or equal to the amount of welfare funds;

[0036] S212, determining M candidate welfare allocation plans from N welfare allocation plans based on the portrait information of the target user, where N is an integer greater than or equal to M.

[0037] It is understandable that since the amount of welfare funds allocated to different employees may vary due to their job titles, levels, or even length of service, the welfare fund allocation plans stored in the system may not be suitable for all employees. Therefore, before recommending welfare fund allocation plans for employees, it is necessary to first eliminate welfare fund allocation plans that require an amount greater than the welfare fund amount.

[0038] Furthermore, in the welfare allocation plans where the required amount is less than or equal to the welfare amount, candidate welfare allocation plans are screened out according to the current employee's profile information. For example, if the employee is male, the candidate welfare allocation plans that are finally screened out do not need to include welfare benefits that are only available to women; if the employee has no children, the candidate welfare allocation plans that are finally screened out do not need to include welfare benefits for the employee's children; if the employee does not currently have a car, the candidate welfare allocation plans that are finally screened out do not need to include car-related welfare benefits; if the employee has already purchased and enjoyed certain welfare benefits, the candidate welfare allocation plans that are finally screened out do not need to include similar welfare benefits.

[0039] The above screening examples are only for explaining the significance of the screening effect, and do not limit the screening items.

[0040] By adopting the method of the above embodiment, the welfare allocation method in the welfare management system is screened multiple times according to the welfare amount and employee portrait information, so that the candidate welfare allocation plan finally screened out can be applicable to the current employees, thereby optimizing the user experience.

[0041] Alternatively, if Figure 3As shown, the method for determining the welfare fund allocation plan in the above embodiment further includes:

[0042] S310, determining a first recommendation value of each candidate welfare fund allocation scheme among M candidate welfare fund allocation schemes according to the welfare fund amount and the profile information of the target user;

[0043] S320: Arrange the M candidate welfare allocation plans in descending order according to the first recommendation value and display them to the target user.

[0044] It is understandable that after determining the candidate welfare allocation plans currently available to employees, some employees may not want to spend more time comparing different plans, and some employees who know less about the welfare security system may hope that the system can directly recommend the most suitable plan. Therefore, the order of displaying plans is also crucial for employees' choices.

[0045] In order to determine the display order of the candidate welfare fund allocation plans, the first recommendation value of each candidate welfare fund allocation plan may be further determined according to the welfare fund amount and the employee's profile information.

[0046] The method for determining the first recommended value of the candidate welfare allocation plan includes:

[0047] Determining a second recommended value of the candidate welfare fund allocation plan according to the utilization rate of the welfare fund amount by the candidate welfare fund allocation plan;

[0048] Determine a third recommendation value of the candidate welfare allocation plan according to the degree of fit between the candidate welfare allocation plan and the target user's profile information;

[0049] Based on the second recommendation value and the third recommendation value of the candidate welfare allocation scheme and the preset weight, a first recommendation value of the candidate welfare allocation scheme is obtained.

[0050] It is understandable that "you get what you pay for" applies to purchasing choices in most cases. The amount of money required to allocate each candidate welfare fund plan will obviously be different, and the plan with the amount of money closest to the welfare fund amount will obviously have the highest utilization rate of the welfare fund amount and is often the most cost-effective plan.

[0051] In addition, employees often hope that welfare benefits can cover their needs in all aspects as much as possible. Therefore, the degree of fit between the candidate welfare allocation plan and the employee profile information may also be a decisive factor in the choice of the plan. For example, if an employee has children and has purchased a car, he or she will often choose welfare benefits that can cover himself or herself, his or her children, and the car, rather than choosing to spend all the welfare funds on a single welfare benefit. Therefore, the more comprehensive the employee profile information covered by the welfare benefits in the candidate welfare allocation plan, the higher the fit between the welfare allocation plan and the employee profile information. Obviously, employees will have a higher tendency to choose welfare allocation plans with higher fit.

[0052] In view of this, the second recommended value determined by the utilization rate of each candidate welfare fund allocation plan for the welfare fund amount, the third recommended value determined by the degree of fit between each candidate welfare fund allocation plan and the employee profile information, and the preset weights of the second recommended value and the third recommended value can be weighted and summed for each candidate welfare fund plan to obtain the first recommended value of each candidate welfare fund plan. The preset weights of the second recommended value and the third recommended value can be customized by the user in the system according to his own considerations, or determined and configured in advance by the system developer based on the questionnaire, and are not specifically limited here.

[0053] By adopting the method of the above embodiment, the system can automatically calculate the recommended value of each candidate welfare allocation plan and sort and display it to the user, reducing the time cost of user selection. At the same time, it solves the problem that users with "choice difficulty syndrome" cannot make the best choice based on their own knowledge of welfare protection, and further improves the user experience.

[0054] The following takes the example of a new employee using the welfare fund management system for the first time after joining the company to demonstrate the specific process of determining the above welfare fund allocation plan.

[0055] 1) The enterprise enters the new employee's contact information, job title, level and other information into the system, and the system automatically obtains the employee's corresponding benefit amount based on the above information;

[0056] 2) The welfare fund management system informs employees through their contact information that they can log in to the system to select their own welfare fund allocation plan;

[0057] 3) After logging into the system, new employees will fill in their own profile information according to the system prompts, such as gender, age, family member information, and information on benefits they already enjoy;

[0058] 4) The welfare fund management system selects the candidate welfare fund allocation plan suitable for the employee from the stored welfare fund allocation plans according to the welfare fund amount and the employee's profile information;

[0059] 5) The welfare fund management system further determines the first recommended value of each candidate welfare fund allocation plan and arranges the candidate welfare fund allocation plans in descending order according to the recommended value and displays them to the employees on the system interface, and at the same time displays a detailed introduction to the welfare benefits included in the current candidate welfare fund allocation plan in each candidate welfare fund allocation plan;

[0060] 6) After an employee selects a certain welfare allocation plan, the employee is prompted to provide additional detailed information for purchasing specific welfare benefits. For example, if the welfare allocation plan selected by the employee includes vehicle protection, the employee is prompted to fill in relevant information such as the license plate number and vehicle model, and then the various welfare benefits included in the selected welfare allocation plan are processed for the employee.

[0061] The above describes the specific settings and implementation methods of the embodiments of the present application from different perspectives. The method provided by the above embodiments not only meets the personalized needs of different employees for welfare protection, improves the attractiveness of the enterprise in the recruitment stage and the sense of belonging of the employees, but also facilitates the user's choice of welfare protection, and helps users quickly and efficiently choose the welfare protection plan that best suits them.

[0062] Figure 4 is a schematic diagram of a device for determining a welfare payment allocation plan according to an embodiment of the present application, the device comprising:

[0063] A quota acquisition module 410 is used to obtain the welfare quota corresponding to the target user;

[0064] The plan determination module 420 is used to determine M candidate welfare fund allocation plans for the target user based on the welfare fund amount and the profile information of the target user, where M is an integer greater than or equal to 1.

[0065] Exemplarily, the target user's portrait information includes at least the target user's gender, age, family member information, and welfare security information that the target user already enjoys.

[0066] Alternatively, if Figure 5 As shown, the above solution determination module 420 includes:

[0067] The first determining unit 521 is used to determine, according to the welfare amount, N welfare allocation plans whose required amount is less than or equal to the welfare amount;

[0068] The second determination unit 522 is used to determine M candidate welfare benefit allocation plans from N welfare benefit allocation plans according to the portrait information of the target user, where N is an integer greater than or equal to M.

[0069] Alternatively, if Figure 6 , the above-mentioned device also includes:

[0070] The recommendation value determination module 610 is used to determine the first recommendation value of each candidate welfare fund allocation scheme among the M candidate welfare fund allocation schemes according to the welfare fund amount and the profile information of the target user;

[0071] The display module 620 is used to arrange the M candidate welfare allocation plans in descending order according to the first recommendation value and display them to the target user.

[0072] Exemplarily, the method of determining the first recommended value of the candidate welfare allocation scheme includes:

[0073] Determining a second recommended value of the candidate welfare fund allocation plan according to the utilization rate of the welfare fund amount by the candidate welfare fund allocation plan;

[0074] Determine a third recommendation value of the candidate welfare allocation plan according to the degree of fit between the candidate welfare allocation plan and the target user's profile information;

[0075] Based on the second recommendation value and the third recommendation value of the candidate welfare allocation scheme and the preset weight, a first recommendation value of the candidate welfare allocation scheme is obtained.

[0076] The functions of each unit, module or submodule in each device of the embodiment of the present disclosure can refer to the corresponding description in the above method embodiment, and have corresponding beneficial effects, which will not be repeated here.

[0077] In the technical solution disclosed herein, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0078] Figure 7 A schematic block diagram of an example electronic device 700 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0079] like Figure 7As shown, the device 700 includes a computing unit 701, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 702 or a computer program loaded from a storage unit 708 into a random access memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the device 700 can also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0080] A number of components in the device 700 are connected to the I / O interface 705, including: an input unit 706, such as a keyboard, a mouse, etc.; an output unit 707, such as various types of displays, speakers, etc.; a storage unit 708, such as a disk, an optical disk, etc.; and a communication unit 709, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 709 allows the device 700 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0081] The computing unit 701 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The computing unit 701 performs the various methods and processes described above, such as the method for determining the welfare benefit allocation scheme. For example, in some embodiments, the method for determining the welfare benefit allocation scheme may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 708. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 700 via the ROM 702 and / or the communication unit 709. When the computer program is loaded into the RAM 703 and executed by the computing unit 701, one or more steps of the method for determining the welfare benefit allocation scheme described above may be performed. Alternatively, in other embodiments, the computing unit 701 may be configured to execute the method for determining the welfare benefit allocation scheme in any other appropriate manner (for example, by means of firmware).

[0082] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0083] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0084] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0085] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0086] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0087] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0088] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0089] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A method for determining a welfare benefit allocation plan, comprising: Get the corresponding welfare amount of the target user; Determine M candidate welfare allocation plans for the target user according to the welfare amount and the target user's portrait information, where M is an integer greater than or equal to 1; wherein the target user's portrait information at least includes the target user's gender, age, family member information, and welfare security information already enjoyed by the target user; The method further comprises: Determine a first recommendation value for each of the M candidate welfare allocation plans according to the welfare amount and the target user's portrait information; Arrange the M candidate welfare allocation plans in descending order according to the first recommendation value and display them to the target user; The method for determining the first recommended value of the candidate welfare allocation scheme includes: Determining a second recommended value of the candidate welfare fund allocation scheme according to the utilization rate of the welfare fund amount by the candidate welfare fund allocation scheme; Determining a third recommendation value of the candidate welfare fund allocation scheme according to the degree of fit between the candidate welfare fund allocation scheme and the profile information of the target user; Based on the second recommendation value and the third recommendation value of the candidate welfare benefit allocation scheme and the preset weight, a first recommendation value of the candidate welfare benefit allocation scheme is obtained.

2. The method according to claim 1, characterized in that Determining M candidate welfare fund allocation plans according to the welfare fund amount and the target user's profile information includes: According to the welfare amount, determine N welfare allocation plans with required amounts less than or equal to the welfare amount; According to the portrait information of the target user, M candidate welfare fund allocation plans are determined from the N welfare fund allocation plans, where N is an integer greater than or equal to M.

3. A device for determining a welfare payment allocation plan, comprising: The quota acquisition module is used to obtain the corresponding welfare amount of the target user; A scheme determination module is used to determine M candidate welfare fund allocation schemes for the target user according to the welfare fund amount and the profile information of the target user, where M is an integer greater than or equal to 1; wherein the profile information of the target user at least includes the gender, age, family member information of the target user and the welfare security information already enjoyed by the target user; The device further comprises a recommendation value determination module, which is used to determine a first recommendation value of each candidate welfare fund allocation scheme among the M candidate welfare fund allocation schemes according to the welfare fund amount and the portrait information of the target user; A display module, used for arranging the M candidate welfare fund allocation plans in descending order according to the first recommendation value and displaying them to a target user; The method for determining the first recommended value of the candidate welfare allocation scheme includes: Determining a second recommended value of the candidate welfare fund allocation scheme according to the utilization rate of the welfare fund amount by the candidate welfare fund allocation scheme; Determining a third recommendation value of the candidate welfare fund allocation scheme according to the degree of fit between the candidate welfare fund allocation scheme and the profile information of the target user; Based on the second recommendation value and the third recommendation value of the candidate welfare benefit allocation scheme and the preset weight, a first recommendation value of the candidate welfare benefit allocation scheme is obtained.

4. The device according to claim 3, characterized in that The scheme determination module includes: A first determining unit is used to determine, according to the welfare amount, N welfare allocation plans whose required amounts are less than or equal to the welfare amount; The second determination unit is used to determine M candidate welfare fund allocation plans from the N welfare fund allocation plans based on the portrait information of the target user, where N is an integer greater than or equal to M.

5. An electronic device comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of claim 1 or 2.

6. A non-transitory computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to cause the computer to execute the method according to claim 1 or 2.

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