A digital human-computer interaction method, system and terminal

Abstract

The application discloses a kind of digital human-computer interaction method, system and terminal, the method includes: according to information acquisition instruction in pre-stored information data screening multiple target information data;Analysis information acquisition instruction, obtain the appeal information of target user, and analysis target information data, obtain priority level and corresponding target type information;After target type information is uploaded to cloud platform according to preset order, according to operation instruction analysis target type information, obtain target plan.The application classifies and sorts target data information by analyzing the information acquisition instruction of user, to generate priority order table, to help user understand multiple types of target data information and the priority of target data information simultaneously, to help user make corresponding target plan, significantly improve the work efficiency of user work, improve the use experience of user.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of interactive data analysis, in particular to a digital human-computer interaction method, system, terminal and computer readable storage medium. BACKGROUND

[0002] In the process of enterprise digital transformation, a good interaction design can provide employees with an extreme and experience-friendly digital experience, and can greatly improve the office efficiency of employees. Only when employees work efficiently through the digital platform can higher economic benefits be brought.

[0003] However, many employees of enterprises need to view different platforms when viewing different types of information such as data, requirements or tasks, which leads to poor employee experience and cannot improve work efficiency.

[0004] Therefore, the prior art still needs to be improved and developed. SUMMARY

[0005] The main purpose of the present application is to provide a digital human-computer interaction method, system, terminal and computer readable storage medium, which aims to solve the problem that multiple types of work cannot be uniformly managed in the prior art, and there is a lack of effective digital human-computer interaction, thereby leading to low employee work efficiency.

[0006] To achieve the above purpose, the present application provides a digital human-computer interaction method, which comprises the following steps:

[0007] Obtain an information acquisition instruction of a target user, and filter a plurality of target information data from all pre-stored information data according to the information acquisition instruction;

[0008] Analyze the information acquisition instruction to obtain the appeal information of the target user, analyze all the target information data according to the appeal information, and obtain the priority level of each target information data and the corresponding target type information;

[0009] According to all the priority levels, all the target type information is sorted in a preset order to obtain a data information table, feedback information is generated according to the data information table, and a target plan is obtained by analyzing a plurality of target type information according to the feedback information.

[0010] Optionally, the digital human-computer interaction method, wherein the information acquisition instruction of the target user is filtered from all pre-stored information data according to the information acquisition instruction, and specifically comprises:

[0011] Obtain an information acquisition instruction of a target user, analyze the information acquisition instruction to obtain the appeal information of the target user, analyze all the target information data according to the appeal information, and obtain the priority level of each target information data and the corresponding target type information;

[0012] According to the initial target, a plurality of target information data is screened from all pre-stored information data.

[0013] Optionally, the digital human-computer interaction method, wherein the information acquisition instruction is analyzed to obtain the appeal information of the target user, all the target information data is analyzed according to the appeal information to obtain the priority level of each target information data and the corresponding target type information, and specifically includes:

[0014] The information acquisition instruction is analyzed to obtain the appeal information of the target user, and the appeal information is analyzed to obtain the target task priority of the target user.

[0015] According to the target task priority, a plurality of information categories is determined, wherein the plurality of information categories represents all information categories queried by the target user.

[0016] All the target information data is analyzed, and the priority level of each target information data is generated according to all the information categories, and the corresponding target type information is extracted.

[0017] Optionally, the digital human-computer interaction method, wherein the target information data is analyzed, and the priority level of each target information data is generated according to all the information categories, and the corresponding target type information is extracted, and specifically includes:

[0018] An information value sorting table of all historical users is obtained, wherein the information value sorting table includes a plurality of value information interested by the historical users.

[0019] According to all the target information data and all the value information, each target information data is sorted to obtain the priority level of each target information data, and the corresponding target type information is extracted.

[0020] Optionally, the digital human-computer interaction method, wherein the target type information is sorted according to all the priority levels in a preset order to obtain a data information table, feedback information is generated according to the data information table, and a target plan is obtained by analyzing a plurality of target type information according to the feedback information, and specifically includes:

[0021] According to the priority level of each target information data, the target type information of each target information data is sorted to obtain a data information table.

[0022] The feedback information is generated according to the target information data corresponding to the target type information of the first preset number of target type information on the data information table.

[0023] generating an operation instruction according to the feedback information, and analyzing the preset number of the target type information in the data information table multiple times according to the operation instruction to obtain multiple target plans.

[0024] Optionally, the digital human-computer interaction method, wherein the target type information of each target information data is sorted according to the priority level of each target information data to obtain a data information table, and the method further comprises:

[0025] real-time sorting of the target information data corresponding to all the target type information in the data information table to obtain multiple target data real-time analysis reports, and uploading all the target data real-time analysis reports to a cloud platform.

[0026] Optionally, the digital human-computer interaction method, wherein the target type information of each target information data is sorted according to the priority level of each target information data to obtain a data information table, and the method further comprises:

[0027] obtaining multiple target data real-time analysis reports corresponding to each target plan, and evaluating the target data real-time analysis reports according to a preset standard to obtain multiple scores;

[0028] uploading the target plan with a score higher than a preset score to the cloud platform.

[0029] In addition, to achieve the above-mentioned purposes, the application further provides a digital human-computer interaction system, wherein the digital human-computer interaction system comprises:

[0030] a data screening module configured to obtain an information acquisition instruction of a target user, and screen multiple target information data from all information data stored in advance according to the information acquisition instruction;

[0031] a data sorting module configured to analyze the information acquisition instruction to obtain demand information of the target user, analyze all the target information data according to the demand information, and obtain a priority level of each target information data and corresponding target type information;

[0032] a target plan generation module configured to sort all the target type information according to a preset order according to all the priority levels to obtain a data information table, generate feedback information according to the data information table, analyze multiple target type information according to the feedback information, and obtain a target plan.

[0033] In addition, to achieve the above object, the present application also provides a terminal, wherein the terminal comprises a memory, a processor, and a digitized human-computer interaction program stored in the memory and executable on the processor, and the digitized human-computer interaction program realizes the steps of the above-mentioned digitized human-computer interaction method when executed by the processor.

[0034] In addition, to achieve the above object, the present application also provides a computer readable storage medium, wherein the computer readable storage medium stores a digitized human-computer interaction program, and the digitized human-computer interaction program realizes the steps of the above-mentioned digitized human-computer interaction method when executed by a processor.

[0035] In the present application, an information acquisition instruction of a target user is acquired, a plurality of target information data is screened out from all the information data stored in advance according to the information acquisition instruction, the information acquisition instruction is analyzed to obtain the appeal information of the target user, all the target information data is analyzed according to the appeal information to obtain the priority level and the corresponding target type information of each target information data, all the target type information is sorted in a preset order according to all the priority levels to obtain a data information table, feedback information is generated according to the data information table, and a target plan is obtained by analyzing a plurality of target type information according to the feedback information. The present application classifies and sorts target data information by analyzing the information acquisition instruction of a user, generates a priority order table, and thus helps the user to understand a plurality of types of target data information and the priority of the target data information, so as to help the user to make a corresponding target plan, significantly improves the work efficiency of the user, and improves the user experience. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 is a flow chart of a preferred embodiment of the digitized human-computer interaction method of the present application;

[0037] Figure 2 is a partition design schematic diagram of a preferred embodiment of the digitized human-computer interaction method of the present application;

[0038] Figure 3 is a structure diagram of a preferred embodiment of the digitized human-computer interaction system of the present application;

[0039] Figure 4 is a running environment schematic diagram of a preferred embodiment of the terminal of the present application. DETAILED DESCRIPTION

[0040] In order to make the object, technical scheme and advantages of the present application more clear and definite, the present application is further described in detail below with reference to the 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.

[0041] The digital human-computer interaction method provided by the preferred embodiment of the present application comprises the following steps: Figure 1 As shown in the figure, the digital human-computer interaction method comprises the following steps:

[0042] In step S10, an information acquisition instruction of a target user is acquired, and a plurality of target information data is screened out from all the information data stored in advance according to the information acquisition instruction.

[0043] Specifically, the information acquisition instruction of the target user is acquired, the information acquisition instruction is analyzed to obtain an initial target of the target user, and a plurality of target information data is screened out from all the information data stored in advance according to the initial target.

[0044] After the information acquisition instruction input by the user is acquired, the information acquisition instruction can be analyzed to obtain an initial target that the user is likely to be interested in, so that a plurality of target information data is screened out from all the stored information data. For example, according to the “Friday” input by the user, a plurality of initial targets that the current user is likely to be interested in can be obtained, such as “Friday log”, “work log” and “memo”, and a plurality of target information data related to “Friday log”, “work log” and “memo” can be screened out from all the stored information data, so as to improve the accuracy of data screening, greatly improve the work efficiency of the user, and avoid wasting the time of the user in a large amount of irrelevant data.

[0045] In step S20, the information acquisition instruction is analyzed to obtain the appeal information of the target user, all the target information data is analyzed according to the appeal information, and the priority level and the corresponding target type information of each target information data are obtained.

[0046] After the information acquisition instruction input by the user is analyzed, the appeal information of the target user can be obtained, and all the target information data screened out is sorted according to the priority, so that the target information data that the user is most likely to be interested in is arranged in the front row, the target user is avoided to find useful information from irrelevant data, and the time of the target user is saved.

[0047] Specifically, the information acquisition instruction is analyzed to obtain the appeal information of the target user, the appeal information is analyzed to obtain the target task priority of the target user, the plurality of information categories are determined according to the target task priority, the plurality of information categories represent all the information categories queried by the target user, all the target information data is analyzed, the priority level of each target information data is generated according to all the information categories, and the corresponding target type information is extracted.

[0048] According to the obtained appeal information, the target task of the target user can be prioritized, and multiple information categories can be determined. For example, according to the input "Friday" of the target user, multiple target information data such as "Friday log", "work log", "Thursday memo", and "work index" can be determined, and the priority level of each target information data can be generated, and the corresponding target type information can be extracted.

[0049] Further, an information value sorting table of all historical users is obtained, wherein the information value sorting table includes value information interested by the historical users; each target information data is sorted according to all target information data and all value information, the priority level of each target information data is obtained, and the corresponding target type information is extracted.

[0050] According to the information value sorting table generated by the historical user input, the value information interested by a large number of users can be analyzed, a value information table can be generated by training a large amount of historical data, and the value information table includes research information and user demand of a certain product value, thereby improving the accuracy of analyzing the information input by the target user and improving the accurate definition of the priority level of the target information data.

[0051] In step S30, all target type information is sorted in a preset order according to all priority levels, a data information table is obtained, feedback information is generated according to the data information table, and a target plan is obtained by analyzing multiple target type information according to the feedback information.

[0052] The preset order can be generated according to the value information table. For example, according to the preset order, the target information data "Friday log", "work log", "Thursday memo", and "work index" are sorted as "Friday log", "work log", "work index", and "Thursday memo", and the target type information corresponding to these target information data is also uploaded to the cloud platform in the same order for the target user to refer, thereby obtaining the feedback information input by the target user, reducing the time of the target user to query information, and improving the searching efficiency and accuracy of the target user.

[0053] Specifically, the target type information of each target information data is sorted according to the priority level of each target information data, a data information table is obtained, feedback information is generated according to the target information data corresponding to the target type information in the front preset number of the data information table, an operation instruction is generated according to the feedback information, and multiple target plans are obtained by analyzing the target type information in the preset number of the data information table multiple times according to the operation instruction.

[0054] The target information data is sorted according to priority levels, added to the data information table, feedback information is generated according to the data information table, and corresponding operation instructions are generated according to the feedback information; for example, if the first two target information data in the data information table are “Friday log” and “work log”, operation instructions for searching “Friday log” and “work log” are generated, or operation instructions for analyzing “Friday log” and “work log” are generated, and the data information table is uploaded to the cloud platform for reference by the target user, and then the cloud platform can receive feedback information input by the target user, the feedback information also includes operation instructions (the operation instructions are input by the user according to the user's own needs), and according to the operation instructions input by the user or generated by the system, multiple target type information in the data information table can be analyzed, so that multiple target plans are specified for the target user; for example, the data information table includes target type information related to “Friday log”, “work log”, “work index” and “Thursday memorandum”, the user clicks “Friday log”, feedback information can be input in the main function area, and feedback information sent by the cloud platform is received, the selected target type information is analyzed according to the operation instructions in the feedback information, and multiple target plans are generated according to other data (including target requirements, tasks or to-do lists, etc.) in the feedback information (that is, according to the target type information clicked by the target user, the target plan corresponding to the target type information is generated, if the target user only clicks “Friday log”, the target plan corresponding to “Friday log” is generated, if “work index” and “Thursday memorandum” are also clicked, the target plans corresponding to “work index” and “Thursday memorandum” are generated respectively), which is helpful for the target user to refer to and reduces the work burden of the target user.

[0055] Further, all target information data corresponding to the target type information in the data information table is sorted in real time to obtain multiple target data real-time analysis reports, and all target data real-time analysis reports are uploaded to the cloud platform.

[0056] According to the clicking instruction of the target user, all target information data corresponding to the clicked target type information is sorted in real time, all target information data that the target user may be interested in is updated in real time, and the corresponding priority level is updated in real time, added to the real-time analysis report and uploaded to the cloud platform, so that the data accuracy is ensured.

[0057] Further, multiple target data real-time analysis reports corresponding to each target plan are obtained, and multiple scores are obtained by evaluating through a preset standard; the target plan with a score exceeding a preset score is uploaded to the cloud platform.

[0058] Each target data real-time analysis report in each target plan needs to be evaluated through a preset standard, for example, Figure 2As shown, the preset standards include operating frequency, data real-time, etc., and the score of the target plan can understand the progress or result of the task responsible by the target user, and the trend of all data is described by a curve diagram, which improves the visualization of data and facilitates the target user to observe the progress of the work task in real time, and improves the work efficiency of the target user.

[0059] The application classifies and sorts the target data information according to the information acquisition instruction of the user, to generate a priority order table, so as to help the user to understand multiple types of target data information and the priority of the target data information, and to help the user to make a corresponding target plan, which significantly improves the work efficiency of the user and improves the user experience.

[0060] Further, as shown in the figure, Figure 3 The digital human-computer interaction system comprises:

[0061] The data filtering module 51 is configured to acquire an information acquisition instruction of a target user, and filter a plurality of target information data from all information data stored in advance according to the information acquisition instruction.

[0062] The data sorting module 52 is configured to analyze the information acquisition instruction to obtain the appeal information of the target user, analyze all the target information data according to the appeal information, and obtain the priority level and corresponding target type information of each target information data.

[0063] The target plan generation module 53 is configured to upload all the target type information to a cloud platform according to the preset order after obtaining all the priority levels, receive feedback information sent by the cloud platform, analyze a plurality of target type information according to the feedback information, and obtain a target plan, wherein the feedback information is input to the cloud platform by a user.

[0064] Further, as shown in the figure, Figure 4 Based on the above-mentioned digital human-computer interaction method and system, the application further provides a terminal, which comprises a processor 10, a memory 20 and a display 30. Figure 4 Only part of the components of the terminal are shown, but it should be understood that all the shown components are not required to be implemented, and more or less components can be alternatively implemented.

[0065] The memory 20 can be an internal storage unit of the terminal in some embodiments, such as a hard disk or a memory of the terminal. The memory 20 can also be an external storage device of the terminal in other embodiments, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal. Further, the memory 20 can include both the internal storage unit and the external storage device of the terminal. The memory 20 is used to store application software and various data installed on the terminal, such as program codes of the terminal, etc. The memory 20 can also be used to temporarily store data that has been output or will be output. In an embodiment, the memory 20 stores a digital human-computer interaction program 40, which can be executed by the processor 10 to implement the digital human-computer interaction method.

[0066] The processor 10 can be a central processing unit (CPU), a microprocessor or other data processing chip in some embodiments, which is used to run program codes or process data stored in the memory 20, such as to execute the digital human-computer interaction method, etc.

[0067] The display 30 can be an LED display, a liquid crystal display, a touch liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, etc. in some embodiments. The display 30 is used to display information of the terminal and to display a visual user interface. The components 10-30 of the terminal communicate with each other through a system bus.

[0068] In an embodiment, the following steps are implemented when the processor 10 executes the digital human-computer interaction program 40 in the memory 20:

[0069] An information acquisition instruction of a target user is obtained, and a plurality of target information data is filtered from all pre-stored information data according to the information acquisition instruction;

[0070] The information acquisition instruction is analyzed to obtain appeal information of the target user, all target information data is analyzed according to the appeal information, a priority level and corresponding target type information of each target information data are obtained;

[0071] All target type information is sorted in a preset order according to all priority levels to obtain a data information table, feedback information is generated according to the data information table, and a target plan is obtained by analyzing a plurality of target type information according to the feedback information.

[0072] The information acquisition instruction of the target user is obtained, and a plurality of target information data is screened from all the information data stored in advance according to the information acquisition instruction, specifically including:

[0073] The information acquisition instruction of the target user is obtained, and the initial target of the target user is obtained by analyzing the information acquisition instruction.

[0074] According to the initial target, a plurality of target information data is screened from all the information data stored in advance.

[0075] The information acquisition instruction of the target user is obtained, and the initial target of the target user is obtained by analyzing the information acquisition instruction.

[0076] The information acquisition instruction of the target user is obtained, and the initial target of the target user is obtained by analyzing the information acquisition instruction.

[0077] According to the initial target, a plurality of target information data is screened from all the information data stored in advance.

[0078] The information acquisition instruction of the target user is obtained, and the initial target of the target user is obtained by analyzing the information acquisition instruction.

[0079] The information acquisition instruction of the target user is obtained, and the initial target of the target user is obtained by analyzing the information acquisition instruction.

[0080] The information acquisition instruction of the target user is obtained, and the initial target of the target user is obtained by analyzing the information acquisition instruction.

[0081] The information acquisition instruction of the target user is obtained, and the initial target of the target user is obtained by analyzing the information acquisition instruction.

[0082] The information acquisition instruction of the target user is obtained, and the initial target of the target user is obtained by analyzing the information acquisition instruction.

[0083] According to the priority level of each target information data, the target type information of each target information data is sorted to obtain a data information table;

[0084] According to the target information data corresponding to the target type information of the first preset number on the data information table, feedback information is generated;

[0085] According to the operation instruction, the target type information of the preset number in the data information table is analyzed multiple times to obtain multiple target plans.

[0086] According to the priority level of each target information data, the target type information of each target information data is sorted to obtain a data information table, and then the following steps are further included:

[0087] All target information data corresponding to the target type information in the data information table is sorted in real time to obtain multiple target data real-time analysis reports, and all target data real-time analysis reports are uploaded to a cloud platform.

[0088] According to the operation instruction, the target type information of the preset number in the data information table is analyzed multiple times to obtain multiple target plans, and then the following steps are further included:

[0089] The target data real-time analysis reports corresponding to each target plan are obtained, and a preset standard is used for evaluation to obtain multiple scores;

[0090] The target plan with a score exceeding a preset score is uploaded to the cloud platform.

[0091] The application also provides a computer readable storage medium, wherein the computer readable storage medium stores a digital human-computer interaction program, and the digital human-computer interaction program is executed by a processor to realize the steps of the digital human-computer interaction method.

[0092] In summary, the present application provides a kind of digital human-computer interaction method and related equipment, the method comprises: obtaining the information acquisition instruction of target user, multiple target information data are filtered out from all information data stored in advance according to the information acquisition instruction;The information acquisition instruction is analyzed, and the appeal information of the target user is obtained, and the priority level of each target information data and corresponding target type information are obtained by analyzing all target information data according to the appeal information;According to all the priority level, all the target type information is sorted according to the preset order, and data information table is obtained, feedback information is generated according to the data information table, and target plan is obtained by analyzing multiple target type information according to the feedback information.The present application classifies and sorts target data information by analyzing the information acquisition instruction of user, to generate priority order table, so as to help user to understand multiple types of target data information and the priority of target data information, to help user to make corresponding target plan, significantly improve the work efficiency of user, improve the use experience of user.

[0093] It should be noted that in this document, the terms "comprising", "including", or any other variant thereof are intended to cover a non-exclusive inclusion, such that processes, methods, articles, or terminals including a series of elements not only include those elements, but also include other elements not explicitly listed, or inherent to such processes, methods, articles, or terminals. Without more limitations, the element defined by the statement "including a" does not exclude the presence of additional identical elements in the process, method, article, or terminal including the element.

[0094] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by computer programs instructing related hardware (such as processors, controllers, etc.), and the programs can be stored in a computer-readable computer-readable storage medium, and the programs can include the processes of the above-mentioned method embodiments when executed. The computer-readable storage medium can be a memory, a disk, an optical disk, etc.

[0095] It should be understood that the application of the present application is not limited to the above examples, and those skilled in the art can improve or change according to the above description, and all these improvements and changes should belong to the protection scope of the claims of the present application.

Claims

1. A method of digitized human-machine interaction, characterized in that, The digital human-computer interaction method comprises: obtaining an information acquisition instruction of a target user, and screening a plurality of target information data from all information data stored in advance according to the information acquisition instruction; analyzing the information acquisition instruction to obtain the appeal information of the target user, analyzing all the target information data according to the appeal information, and obtaining the priority level of each target information data and the corresponding target type information; The analysis of the information acquisition instruction, the appeal information of the target user, the analysis of all the target information data according to the appeal information, and the priority level of each target information data and the corresponding target type information are obtained, and the analysis of the appeal information, the target task priority of the target user is obtained. According to the target task priority, a plurality of information categories are determined, wherein the plurality of information categories represent all information categories queried by the target user; analyze all the target information data, generate the priority level of each target information data according to all the information categories, and extract the corresponding target type information; According to all the priority levels, all the target type information is sorted in a preset order to obtain a data information table, a feedback information is generated according to the data information table, and a target plan is obtained by analyzing a plurality of target type information according to the feedback information; According to the target user's click instruction, all the target information data corresponding to the target type information clicked by the target user is sorted in real time; The target information data corresponding to all the target type information in the data information table is sorted in real time to obtain a plurality of target data real-time analysis report, and all the target data real-time analysis report is uploaded to a cloud platform; According to the score of the target plan, the progress or result of the task responsible by the target user is determined, and the change trend of all data is described through a curve graph. The obtaining of the information acquisition instruction of the target user, the screening of the plurality of target information data from all the information data stored in advance according to the information acquisition instruction, and the analysis of the information acquisition instruction to obtain the initial target of the target user are obtained.

2. The digitized human-machine interaction method of claim 1, wherein, According to the initial target, a plurality of target information data is screened from all the information data stored in advance. The analysis of all the target information data, the generation of the priority level of each target information data according to all the information categories, and the extraction of the corresponding target type information are obtained, and the analysis of all the target information data, the generation of the priority level of each target information data according to all the information categories, and the extraction of the corresponding target type information are obtained. Obtain the information value sorting table of all historical users, wherein the information value sorting table comprises a plurality of value information interested by the historical user; 3. The digitized human-machine interaction method of claim 1, wherein, According to all the target information data and all the value information, each target information data is sorted to obtain the priority level of each target information data, and the corresponding target type information is extracted. ​ ​ 4. The digitized human-machine interaction method of claim 1, wherein, According to all the priority levels, all the target type information is sorted in a preset order to obtain a data information table, feedback information is generated according to the data information table, and multiple target plans are obtained by analyzing the target type information according to the feedback information, and specifically comprising: According to the priority level of each target information data, the target type information of each target information data is sorted to obtain a data information table; According to the target information data corresponding to the target type information of the first preset number on the data information table, feedback information is generated; According to the operation instruction, the preset number of target type information in the data information table is analyzed multiple times to obtain multiple target plans.

5. The digitized human-machine interaction method of claim 4, wherein, According to the feedback information, the operation instruction is generated, and the preset number of target type information in the data information table is analyzed multiple times according to the operation instruction to obtain multiple target plans, and then comprising: Obtain the real-time analysis report of each target plan corresponding to multiple target data, and evaluate through a preset standard to obtain multiple scores; The target plan with a score exceeding a preset score is uploaded to the cloud platform.

6. A digitized human-machine interaction system, characterized in that The digital human-computer interaction system is applied to the digital human-computer interaction method of any one of claims 1-5, and the digital human-computer interaction system comprises: A data screening module is configured to obtain an information acquisition instruction of a target user, and screen multiple target information data from all information data stored in advance according to the information acquisition instruction; A data sorting module is configured to analyze the information acquisition instruction to obtain the appeal information of the target user, analyze all the target information data according to the appeal information, and obtain the priority level and corresponding target type information of each target information data; A target plan generation module is configured to sort all the target type information in a preset order according to all the priority levels to obtain a data information table, generate feedback information according to the data information table, and obtain target plans by analyzing multiple target type information according to the feedback information.

7. A terminal, characterized by comprising: The terminal comprises a memory, a processor, and a digital human-computer interaction program stored on the memory and executable on the processor, and the digital human-computer interaction program is executed by the processor to realize the steps of the digital human-computer interaction method of any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a digital human-computer interaction program, and the digital human-computer interaction program is executed by the processor to realize the steps of the digital human-computer interaction method of any one of claims 1-5.

Images