Resource configuration suggestion information generation method and device, computer equipment, readable storage medium and program product

Abstract

The invention relates to a resource configuration suggestion information generation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of entering a pre-constructed meta-cosmic space in response to a virtual image of an account, and displaying an acquisition page of resource information on a virtual screen in the meta-cosmic space; the resource information comprises original resource transfer information of the account; in response to a triggering operation of the meta-universe intelligent wearable device on the acquired page, acquiring a triggering instruction matched with the triggering operation, and determining resource information of the account based on the triggering instruction; obtaining user portrait data of the account, generating resource configuration suggestion information of the account according to the user portrait data of the account and the resource information of the account, and displaying the resource configuration suggestion information in the virtual screen; the resource configuration suggestion information is used for guiding the user to perform resource transfer. By adopting the method, the generation efficiency of the resource configuration suggestion information can be improved.

Description

Technical Field

[0001] The present application relates to the field of virtual reality technology, and in particular to a method, device, computer equipment, computer-readable storage medium and computer program product for generating resource configuration suggestion information. Background Art

[0002] With the continuous development of virtual reality technology, various industries have gradually applied virtual reality technology to actual production and services.

[0003] Virtual reality technology is a computer technology that uses computers to generate a three-dimensional virtual environment, allowing users to feel like they are in it and allowing users to interact with the virtual environment. The virtual environment can be constructed through computer-generated 3D (3-Dimension) graphics, including buildings, scenery, characters, etc. Users can receive the projection of 3D graphics through a head-mounted display and interact with the virtual environment through interactive devices such as handles and sensors.

[0004] At present, financial institutions mainly use virtual reality technology to virtualize outlets and visualize data. However, how to apply virtual reality technology to resource allocation scenarios is an urgent problem that needs to be solved. Summary of the invention

[0005] Based on this, it is necessary to provide a method, apparatus, computer device, computer-readable storage medium and computer program product for generating resource configuration suggestion information that can improve the efficiency of generating resource configuration suggestion information in response to the above technical problems.

[0006] In a first aspect, the present application provides a method for generating resource configuration suggestion information, comprising:

[0007] In response to the virtual image of the account entering the pre-constructed metaverse space, displaying a resource information acquisition page on a virtual screen in the metaverse space; the resource information includes original resource transfer information of the account;

[0008] In response to a trigger operation of the Metaverse smart wearable device on the acquisition page, a trigger instruction matching the trigger operation is acquired, and based on the trigger instruction, resource information of the account is determined;

[0009] Obtain user portrait data of the account, generate resource configuration suggestion information of the account based on the user portrait data of the account and the resource information of the account, and display the resource configuration suggestion information on the virtual screen; the resource configuration suggestion information is used to guide the user to transfer resources.

[0010] In one embodiment, obtaining the user portrait data of the account includes:

[0011] Analyze the resource information of the account to obtain a first evaluation factor of the account; the first evaluation factor is used to characterize the risk resistance level of the account;

[0012] Generating resource configuration suggestion information of the account according to the user portrait data of the account and the resource information of the account includes:

[0013] Generate resource configuration recommendation information for the account based on the user portrait data of the account and the first evaluation factor.

[0014] In one embodiment, obtaining the user portrait data of the account includes:

[0015] Obtain resource quantity data of the account; the resource quantity data includes the category of resources corresponding to the account and the resource quantity of each category of resources;

[0016] Based on the pre-built scoring model, the resource quantity data of the account is processed to obtain a second evaluation factor of the account; the larger the value of the second evaluation factor is, the closer the resource quantity ratio of each category of resources corresponding to the account is to the target ratio;

[0017] Generating resource configuration suggestion information of the account according to the user portrait data of the account and the first evaluation factor includes:

[0018] Generate resource configuration recommendation information for the account based on the user portrait data of the account and the first evaluation factor and the second evaluation factor.

[0019] In one embodiment, the pre-constructed metaverse space includes a first virtual image and a first visible area; in response to the virtual image of the account entering the pre-constructed metaverse space, displaying a resource information acquisition page on a virtual screen in the metaverse space includes:

[0020] In response to the virtual image of the account entering the pre-constructed metaverse space, displaying the first virtual image;

[0021] Based on the first virtual image, directing the virtual image of the account to interact with the visual area corresponding to each business;

[0022] In response to the virtual image of the account entering the first visible area, a resource information acquisition page is displayed on a virtual screen in the first visible area.

[0023] In one embodiment, the pre-constructed metaverse space includes a second virtual image, and the second virtual image corresponds to a business person; when the virtual image in response to the account enters the pre-constructed metaverse space, a resource information acquisition page is displayed on a virtual screen in the metaverse space, and then the following steps are included:

[0024] In response to the consultation request of the account, determining a target business person and displaying a corresponding second virtual image;

[0025] The user's consultation request is replied based on the second virtual image.

[0026] In one embodiment, displaying a resource information acquisition page on a virtual screen in the metaverse space includes:

[0027] In response to a login request of an account, authenticating the account based on the Metaverse smart wearable device;

[0028] When the identity authentication of the account is passed, the recording and recording device is turned on until the virtual image of the account leaves the pre-constructed metaverse space, and a record file corresponding to the current login of the account is obtained. The recording and recording device is used to collect audio and video signals of the pre-constructed metaverse space.

[0029] In a second aspect, the present application also provides a device for generating resource configuration suggestion information, including:

[0030] A first display module, configured to display a resource information acquisition page on a virtual screen in the metaverse space in response to the virtual image of the account entering the pre-constructed metaverse space; the resource information includes original resource transfer information of the account;

[0031] A first determination module is used to respond to the trigger operation of the Metaverse smart wearable device on the acquisition page, obtain a trigger instruction matching the trigger operation, and determine the resource information of the account based on the trigger instruction;

[0032] The second display module is used to obtain user portrait data of the account, generate resource configuration suggestion information of the account based on the user portrait data of the account and the resource information of the account, and display the resource configuration suggestion information on the virtual screen; the resource configuration suggestion information is used to guide the user to transfer resources.

[0033] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any of the above-described methods when executing the computer program.

[0034] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of any of the methods described above when executed by a processor.

[0035] In a fifth aspect, the present application also provides a computer program product, including a computer program, which implements the steps of any of the methods described above when executed by a processor.

[0036] The above-mentioned method, device, computer equipment, computer-readable storage medium and computer program product for generating resource configuration suggestion information, by constructing a metaverse space applied to resource configuration scenarios, obtains the resource information of the account based on the interaction between the account's virtual image and the metaverse space, can enrich the method of obtaining resource information, improve the efficiency of obtaining resource information, and thus improve the efficiency of determining resource configuration suggestions based on resource information; by combining resource efficiency and user portrait data to determine resource configuration suggestions and display them in the metaverse space, the accuracy of resource configuration suggestions and the probability of being adopted can be improved. Therefore, the above-mentioned method can achieve the application of metaverse technology to resource configuration scenarios that require in-depth communication with users, improve the efficiency and accuracy of generating resource configuration suggestions, and thus can quickly and effectively assist users in resource configuration. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 An application environment diagram of a method for generating resource configuration suggestion information in an embodiment;

[0039] Figure 2 A schematic diagram of a flow chart of a method for generating resource configuration suggestion information in one embodiment;

[0040] Figure 3 A schematic diagram of a flow chart of a method for generating resource configuration suggestion information in another embodiment;

[0041] Figure 4 A schematic diagram of a flow chart of a method for generating resource configuration suggestion information in another embodiment;

[0042] Figure 5 A schematic diagram of a process of displaying a resource information acquisition page on a virtual screen in the metaverse space in response to a virtual image of an account entering a pre-constructed metaverse space in an embodiment;

[0043] Figure 6 A schematic diagram of a flow chart of a method for generating resource configuration suggestion information in yet another embodiment;

[0044] Figure 7 A structural block diagram of a device for generating resource configuration suggestion information in an embodiment;

[0045] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0047] The Metaverse-based business handling method provided in the embodiments of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. Among them, the terminal 102 can be a virtual reality (VR) device, an augmented reality (AR) device, a metaverse smart wearable device such as smart glasses. The server 104 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

[0048] In an exemplary embodiment, Figure 2 As shown, a business handling method based on Metaverse is provided, and the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps 202 to 206. Among them:

[0049] Step 202, in response to the virtual image of the account entering the pre-constructed metaverse space, a resource information acquisition page is displayed on the virtual screen in the metaverse space; the resource information includes the original resource transfer information of the account.

[0050] The original resource transfer information of the account may include the amount of resources transferred into the account and the amount of resources transferred out of the account. The income and expenditure of the account may be determined based on the original resource transfer information of the account. The resource information may also include basic information of the account owner (e.g., gender, age, occupation, etc.), asset and liability information of the account, etc. The resource information acquisition page may be used to display preset resource information inquiry questions.

[0051] Exemplarily, the server 104 may obtain the corresponding virtual image according to the account identifier of the account, and assign a virtual location to the virtual image of the account, so that the account is in the pre-constructed metaverse space after logging in. The server may use front-end technology to construct a resource information acquisition page, and embed it into the virtual screen of the metaverse space to guide the virtual image of the account to interact with it.

[0052] Step 204, in response to the trigger operation of the Metaverse smart wearable device on the acquisition page, obtain a trigger instruction that matches the trigger operation, and determine the resource information of the account based on the trigger instruction.

[0053] Among them, the Metaverse smart wearable device may include gesture recognition gloves, VR (Virtual Reality) device sensors, etc. The triggering operation of the Metaverse smart wearable device on the acquisition page may be voice triggering, body movement triggering (for example, the virtual image of the account clicks, slides, etc. on the acquisition page) or other interactive methods (for example, input on a virtual keyboard). Server 104 can identify the triggering operation of the Metaverse smart wearable device on the acquisition page and determine the matching triggering instruction. Server 104 can determine the answer to the user's question about resource information based on the triggering instruction and obtain the resource information of the account.

[0054] Exemplarily, when server 104 recognizes a voice trigger of a Metaverse smart wearable device to obtain a page, server 104 can use voice recognition technology to convert the voice signal input by the user into text, and further parse the text to obtain the resource information of the account; when server 104 recognizes a body movement trigger of a Metaverse smart wearable device to obtain a page, server 1004 can parse the sensor data from the Metaverse smart wearable device to determine the user's action pattern or the virtual object / area triggered by the virtual image, and then determine the account's resource information based on the action pattern or the triggered virtual object / area.

[0055] Step 206, obtain user portrait data of the account, generate resource configuration suggestion information of the account based on the user portrait data of the account and the resource information of the account, and display the resource configuration suggestion information on the virtual screen; the resource configuration suggestion information is used to guide the user to transfer resources.

[0056] The user profile data may include trading habits, investment preferences, etc. The resource allocation suggestion information may be a suggested asset allocation ratio.

[0057] Exemplarily, server 104 may retrieve user portrait data of the current account from a database, process the user portrait data of the account and resource information of the account using methods such as data mining or machine learning, obtain resource configuration recommendation information of the account, and send the generated resource configuration recommendation information to the Metaverse smart wearable device so that it is displayed on a virtual screen in the Metaverse space.

[0058] Furthermore, the server 104 can determine the target resource category based on the resource allocation suggestion information, and the user can operate the virtual image of the account as needed to interact with the virtual items / areas in the metaverse space and transfer the resources of the target resource category into / out of the account. For example, the server 104 can display the corresponding financial products in the metaverse space based on the generated asset allocation suggestion ratio, and the user can operate the virtual image of the account to trade the financial products so that the asset allocation ratio of the account is close to the asset allocation suggestion ratio.

[0059] In the above-mentioned method for generating resource allocation suggestion information, by constructing a metaverse space applied to resource allocation scenarios, the resource information of the account is obtained based on the interaction between the account's virtual image and the metaverse space, which can enrich the way of obtaining resource information and improve the efficiency of obtaining resource information, thereby improving the efficiency of determining resource allocation suggestions based on resource information; by combining resource efficiency and user portrait data to determine resource allocation suggestions and display them in the metaverse space, the accuracy of resource allocation suggestions and the probability of being adopted can be improved. Therefore, the above-mentioned method can achieve the application of metaverse technology to resource allocation scenarios that require in-depth communication with users, improve the efficiency and accuracy of generating resource allocation suggestions, and thus quickly and effectively assist users in resource allocation.

[0060] In an exemplary embodiment, Figure 3 As shown, the method for generating the resource configuration suggestion information further includes:

[0061] Step 2051, analyze the resource information of the account to obtain a first evaluation factor of the account; the first evaluation factor is used to characterize the risk resistance level of the account.

[0062] Exemplarily, the server 104 may perform data preprocessing on the resource information of the account, calculate the total resource amount, the amount of resources to be transferred, the liquidity index and other resource index values ​​of the account, call the pre-built evaluation model to process the resource information and the resource index value, and output the first evaluation factor. The total resource amount may be the total assets, the amount of resources to be transferred may be the total liabilities, and the liquidity index may be the ratio of the amount of transferable resources to the total resources. The pre-built evaluation model may be a mathematical model or a machine learning model.

[0063] Furthermore, the resource configuration suggestion information of the account is generated based on the user portrait data of the account and the resource information of the account, including:

[0064] Generate resource allocation recommendation information for the account based on the user portrait data of the account and the first evaluation factor.

[0065] Exemplarily, the server 104 may select a suitable resource allocation suggestion generation model based on the user portrait and the first evaluation factor, calculate the recommended allocation ratio of each category of resources, and obtain resource allocation suggestion information. For example, the resource allocation suggestion information may be an increase in the allocation ratio of stocks / bonds / cash / fixed assets. The resource allocation suggestion generation model may be determined by modern portfolio theory, risk parity strategy, etc., or the resource allocation suggestion generation model may also be a machine learning model.

[0066] In this embodiment, by analyzing the obtained resource information, the risk tolerance of the account can be determined; by determining resource allocation suggestions based on the risk resistance level and user portrait data, it is possible to make suggestions based on the user's risk tolerance and investment preferences, further improving the accuracy of resource allocation suggestions.

[0067] In an exemplary embodiment, Figure 4 As shown, the method for generating the resource configuration suggestion information further includes:

[0068] Step 2052, obtaining resource quantity data of the account; the resource quantity data includes the category of resources corresponding to the account and the resource quantity of each category of resources.

[0069] The category of resources corresponding to the account may be the category of assets owned by the account, and the amount of resources of each category may be the quantity or value of assets of each category.

[0070] Step 2053: Process the resource volume data of the account based on the pre-built scoring model to obtain a second evaluation factor of the account; the larger the value of the second evaluation factor, the closer the resource volume ratio of each category of resources corresponding to the account is to the target ratio;

[0071] The closer the resource ratio of each category of resources corresponding to the account is to the target ratio, the more balanced the asset allocation of the account is, or the more it meets the investment hot spots. The second evaluation factor can be a percentage value.

[0072] For example, the server 104 may obtain resource volume data of the current financial institution account, call a pre-built scoring model to process the resource volume data of the account, and output a second evaluation factor. The pre-built scoring model may be based on historical data, expert experience, or may be a machine learning model.

[0073] Furthermore, the resource allocation suggestion information of the account is generated based on the user portrait data of the account and the first evaluation factor, including:

[0074] Generate resource allocation recommendation information for the account based on the user portrait data of the account and the first evaluation factor and the second evaluation factor.

[0075] Exemplarily, the server 104 may select a suitable resource allocation suggestion generation model based on the first evaluation factor and the second evaluation factor of the user profile, calculate the recommended allocation ratio of each category of resources, and obtain resource allocation suggestion information. For example, the resource allocation suggestion information may be an increase in the allocation ratio of stocks / bonds / cash / fixed assets. The resource allocation suggestion generation model may be determined by modern portfolio theory, risk parity strategy, etc., or the resource allocation suggestion generation model may also be a machine learning model.

[0076] In this embodiment, by evaluating the ratio of the amount of each category of resources owned by the account, the current resource allocation situation of the account can be determined; by determining the resource allocation suggestions based on the risk resistance level, user portrait data, and resource ratio score, it is possible to make suggestions based on the user's risk tolerance, investment preferences, and current resource allocation situation, thereby further improving the accuracy of the resource allocation suggestions.

[0077] In an exemplary embodiment, the pre-constructed metaverse space may include a first virtual image and a first visible area. Figure 5 As shown, the above step 202 includes:

[0078] Step 2021, in response to the virtual image of the account entering the pre-constructed metaverse space, display the first virtual image.

[0079] Exemplarily, in response to the account's virtual image entering the pre-constructed metaverse space, the server 104 may obtain data such as the image model and motion data of the first virtual image, and render the first virtual image in the metaverse space.

[0080] Step 2022: Based on the first virtual image, guide the virtual image of the account to interact with the visible area corresponding to each business.

[0081] The visible area may be a pre-divided area. For example, the server 104 may send interactive prompt information to the Metaverse smart wearable device of the account, instructing the first virtual image to perform gesture guidance or voice prompts to guide the virtual image of the account to each visible area.

[0082] Step 2023: In response to the virtual image of the account entering the first visible area, a page for obtaining resource information is displayed on the virtual screen in the first visible area.

[0083] The resource information acquisition page may be a page in the form of an HTML (HyperText Markup Language) page, a picture, a video, or the like.

[0084] Exemplarily, server 104 may compare the location information of the account's virtual image with the location information of the first visible area to determine whether the account's virtual image has entered the first visible area; in response to the account's virtual image entering the first visible area, server 104 may retrieve an acquisition page associated with the first area from the server and render the acquisition page onto the virtual screen in the first visible area.

[0085] In this embodiment, by setting a first virtual image for business guidance and a first visible area for obtaining resource information in the metaverse space, a rich interactive experience can be provided, thereby increasing the probability of users handling business and participating in the acquisition of resource information.

[0086] In an exemplary embodiment, the pre-constructed metaverse space may include a second virtual image, and the second virtual image corresponds to the business personnel. Figure 6 As shown, the method for generating the resource configuration suggestion information further includes:

[0087] Step 2031, in response to the consultation request of the account, determine the target business personnel and display the corresponding second virtual image.

[0088] The target business person may be a financial manager who is currently online. For example, the user may operate the virtual image of the account to click a virtual customer service button or input a consultation request voice / text command to issue a consultation request. The service 104 may parse the content of the consultation request to determine the user's question type and the corresponding target business person. The server 104 may obtain the image model, action data and other data of the second virtual image corresponding to the target business person, and render it near the virtual image of the account in the metaverse space, or in a designated visible area.

[0089] Step 2032: Respond to the user's consultation request based on the second virtual image.

[0090] Exemplarily, the server 104 may forward the consultation request of the account to the Metaverse smart wearable device of the target business person, and the target business person may directly interact with the virtual image of the account in the Metaverse space based on the second virtual image. The server 104 may receive financial service content such as financial product introductions, career planning plans, financial status analysis reports, etc. sent by the target business person, and convert them into 3D models, dynamic charts, animations, etc. and render them in the Metaverse space. In one possible implementation, virtual projection technology, interactive whiteboard technology, etc. may be used in the Metaverse space to display the response to the consultation request to the user.

[0091] In this embodiment, by setting up a virtual image of a business person in the metaverse space, the user's consultation method can be enriched, and the user's consultation request can be replied to through virtual image interaction, virtual screen projection technology, interactive whiteboard technology, etc., which can improve the efficiency and accuracy of replying to consultation requests and enrich the user's consultation experience.

[0092] In an exemplary embodiment, please continue to refer to Figure 6 The method for generating the resource configuration suggestion information further includes:

[0093] Step 2011, in response to the account login request, authenticate the account based on the Metaverse smart wearable device.

[0094] Exemplarily, server 104 may send an identity authentication instruction to the Metaverse smart wearable device in response to a login request of an account, instructing the camera of the Metaverse smart wearable device to scan the identity certificate or obtain the user's facial recognition data to determine the identity authentication result of the account.

[0095] Step 2012, when the identity authentication of the account is passed, turn on the recording and recording equipment until the virtual image of the account leaves the pre-constructed metaverse space, and obtain the record file corresponding to the account's current login. The recording and recording equipment is used to collect the audio and video signals of the pre-constructed metaverse space.

[0096] Exemplarily, in response to the account's identity authentication being passed, the server 104 can send a recording instruction to the recording and video equipment in the metaverse space; after receiving the instruction, the recording and video equipment starts to collect the audio and video signals of the pre-constructed metaverse space; in response to the account's virtual image leaving the pre-constructed metaverse space, the server 104 can send a stop recording instruction to the recording and video equipment in the metaverse space, save the audio and video signals collected this time, and obtain the record file corresponding to this login. In a possible implementation, the video signal of the metaverse space can be converted from a three-dimensional form to a two-dimensional form for storage and subsequent processing.

[0097] In this embodiment, by authenticating the account and recording the account's behavior in the metaverse space, the security and traceability of the user's resource transfer behavior in the metaverse space can be guaranteed.

[0098] In summary, in the above-mentioned method for generating resource allocation suggestion information, by constructing a metaverse space applied to resource allocation scenarios, the resource information of the account is obtained based on the interaction between the account's virtual image and the metaverse space, which can enrich the way of obtaining resource information and improve the efficiency of obtaining resource information, thereby improving the efficiency of determining resource allocation suggestions based on resource information; by combining resource efficiency and user portrait data to determine resource allocation suggestions and displaying them in the metaverse space, the accuracy of resource allocation suggestions and the probability of being adopted can be improved. Therefore, the above-mentioned method can achieve the application of metaverse technology to resource allocation scenarios that require in-depth communication with users, improve the efficiency and accuracy of generating resource allocation suggestions, and thus quickly and effectively assist users in resource allocation.

[0099] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0100] Based on the same inventive concept, the embodiment of the present application also provides a device for generating resource configuration suggestion information for implementing the method for generating resource configuration suggestion information involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more device for generating resource configuration suggestion information provided below can refer to the limitations of the method for generating resource configuration suggestion information above, and will not be repeated here.

[0101] In an exemplary embodiment, Figure 7 As shown, a device 300 for generating resource configuration suggestion information is provided, comprising: a first display module 301, a first determination module 302, and a second display module 303, wherein:

[0102] The first display module 301 is used to display a resource information acquisition page on a virtual screen in the metaverse space in response to the account's virtual image entering the pre-constructed metaverse space; the resource information includes the account's original resource transfer information.

[0103] The first determination module 302 is used to respond to the trigger operation of the Metaverse smart wearable device on the acquisition page, obtain the trigger instruction matching the trigger operation, and determine the resource information of the account based on the trigger instruction.

[0104] The second display module 303 is used to obtain user portrait data of the account, generate resource configuration suggestion information of the account based on the user portrait data of the account and the resource information of the account, and display the resource configuration suggestion information on the virtual screen; the resource configuration suggestion information is used to guide the user to transfer resources.

[0105] In an exemplary embodiment, the above-mentioned resource configuration suggestion information generating device 300 includes:

[0106] The analysis module is used to analyze the resource information of the account to obtain the first evaluation factor of the account; the first evaluation factor is used to characterize the risk resistance level of the account.

[0107] The second display module 303 is also used to generate resource allocation suggestion information of the account according to the user portrait data of the account and the first evaluation factor.

[0108] In an exemplary embodiment, the above-mentioned resource configuration suggestion information generating device 300 includes:

[0109] The acquisition module is used to obtain the resource quantity data of the account; the resource quantity data includes the category of resources corresponding to the account and the resource quantity of each category of resources.

[0110] The scoring module is used to process the resource quantity data of the account based on the pre-built scoring model to obtain the second evaluation factor of the account; the larger the value of the second evaluation factor, the closer the resource quantity ratio of each category of resources corresponding to the account is to the target ratio.

[0111] The second display module 303 is also used to generate resource allocation suggestion information of the account according to the user portrait data of the account and the first evaluation factor and the second evaluation factor.

[0112] In an exemplary embodiment, the pre-constructed metaverse space includes a first virtual image and a first visible area, and the first display module 301 includes:

[0113] The first display submodule is used to display a first virtual image in response to the virtual image of the account entering the pre-constructed metaverse space.

[0114] The guidance submodule is used to guide the virtual image of the account to interact with the visible area corresponding to each business based on the first virtual image.

[0115] The second display submodule is used to display a resource information acquisition page on a virtual screen in the first visible area in response to the virtual image of the account entering the first visible area.

[0116] In an exemplary embodiment, the pre-constructed metaverse space includes a second virtual image, and the second virtual image corresponds to a business person; the resource configuration suggestion information generation device 300 includes:

[0117] The second determination module is used to respond to the consultation request of the account, determine the target business personnel and display the corresponding second virtual image.

[0118] The reply module is used to reply the user's consultation request based on the second virtual image.

[0119] In an exemplary embodiment, the above-mentioned resource configuration suggestion information generating device 300 includes:

[0120] The identity authentication module is used to respond to the account login request and authenticate the account based on the Metaverse smart wearable device.

[0121] The recording module is used to start the recording and video recording equipment when the account's identity authentication is passed, until the account's virtual image leaves the pre-constructed metaverse space, and obtain the record file corresponding to the account's current login. The recording and video recording equipment is used to collect audio and video signals of the pre-constructed metaverse space.

[0122] Each module in the above-mentioned resource configuration suggestion information generation device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0123] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 8 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for generating resource configuration recommendation information is implemented.

[0124] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0125] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0126] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0127] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0128] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0129] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0130] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0131] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for generating resource configuration suggestion information, characterized in that: The method comprises: In response to the virtual image of the account entering the pre-constructed metaverse space, displaying a resource information acquisition page on a virtual screen in the metaverse space; the resource information includes original resource transfer information of the account; In response to a trigger operation of the Metaverse smart wearable device on the acquisition page, a trigger instruction matching the trigger operation is acquired, and based on the trigger instruction, resource information of the account is determined; Obtain user portrait data of the account, generate resource configuration suggestion information of the account based on the user portrait data of the account and the resource information of the account, and display the resource configuration suggestion information on the virtual screen; the resource configuration suggestion information is used to guide the user to transfer resources.

2. The method according to claim 1, characterized in that The obtaining of the user portrait data of the account includes: Analyze the resource information of the account to obtain a first evaluation factor of the account; the first evaluation factor is used to characterize the risk resistance level of the account; Generating resource configuration suggestion information of the account according to the user portrait data of the account and the resource information of the account includes: Generate resource configuration recommendation information for the account based on the user portrait data of the account and the first evaluation factor.

3. The method according to claim 2, characterized in that The obtaining of the user portrait data of the account includes: Obtain resource quantity data of the account; the resource quantity data includes the category of resources corresponding to the account and the resource quantity of each category of resources; Based on the pre-built scoring model, the resource quantity data of the account is processed to obtain a second evaluation factor of the account; the larger the value of the second evaluation factor is, the closer the resource quantity ratio of each category of resources corresponding to the account is to the target ratio; Generating resource configuration suggestion information of the account according to the user portrait data of the account and the first evaluation factor includes: Generate resource configuration recommendation information for the account based on the user portrait data of the account and the first evaluation factor and the second evaluation factor.

4. The method according to claim 1, characterized in that: The pre-constructed metaverse space includes a first virtual image and a first visible area; the virtual image of the account enters the pre-constructed metaverse space in response to which a resource information acquisition page is displayed on a virtual screen in the metaverse space, including: In response to the virtual image of the account entering the pre-constructed metaverse space, displaying the first virtual image; Based on the first virtual image, directing the virtual image of the account to interact with the visual area corresponding to each business; In response to the virtual image of the account entering the first visible area, a resource information acquisition page is displayed on a virtual screen in the first visible area.

5. The method according to claim 1, characterized in that The pre-constructed metaverse space includes a second virtual image, and the second virtual image corresponds to the business personnel; when the virtual image in response to the account enters the pre-constructed metaverse space, a resource information acquisition page is displayed on a virtual screen in the metaverse space, and then includes: In response to the consultation request of the account, determining a target business person and displaying a corresponding second virtual image; The user's consultation request is replied based on the second virtual image.

6. The method according to claim 5, characterized in that Displaying a resource information acquisition page on a virtual screen in the metaverse space, previously comprising: In response to a login request of an account, authenticating the account based on the Metaverse smart wearable device; When the identity authentication of the account is passed, the recording and recording device is turned on until the virtual image of the account leaves the pre-constructed metaverse space, and a record file corresponding to the current login of the account is obtained. The recording and recording device is used to collect audio and video signals of the pre-constructed metaverse space.

7. A device for generating resource allocation suggestion information, characterized in that: The device comprises: A first display module, configured to display a resource information acquisition page on a virtual screen in the metaverse space in response to the virtual image of the account entering the pre-constructed metaverse space; the resource information includes original resource transfer information of the account; A first determination module is used to respond to the trigger operation of the Metaverse smart wearable device on the acquisition page, obtain a trigger instruction matching the trigger operation, and determine the resource information of the account based on the trigger instruction; The second display module is used to obtain user portrait data of the account, generate resource configuration suggestion information of the account based on the user portrait data of the account and the resource information of the account, and display the resource configuration suggestion information on the virtual screen; the resource configuration suggestion information is used to guide the user to transfer resources.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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