Task supervision method and device, equipment and storage medium
By obtaining user information to generate personalized tasks and adjusting them in real time, the problem of lack of flexibility and personalization of existing task systems is solved, and the success rate of task completion and user participation are improved.
Patent Information
- Application Number
- CN202411157891.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-21
- Publication Date
- 2024-12-27
AI Technical Summary
The existing task system lacks flexibility and personalization when generating tasks, resulting in users losing interest and motivation, low task completion, and lacks dynamic adjustment mechanisms, making it impossible to update task content in real time based on user progress and feedback.
By obtaining user health information, historical behavior information and hobby information, personalized target tasks are generated, and task execution information and feedback information are monitored, and task content is adjusted in real time to maintain user interest and motivation.
The diversity and sustainability of tasks are achieved, the success rate of task completion is improved, and the user's sense of participation and the stickiness of the task system is enhanced.
Smart Images
Figure CN119207701A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of artificial intelligence, and in particular to a task supervision method, device, equipment and storage medium. Background Art
[0002] With the development of science and technology, people use various task systems to manage related tasks, which brings convenience to people's study, life and work. For example, a corresponding health management system is used to set and generate health management tasks, and urge oneself to manage health based on tasks. At present, task systems usually use pre-set fixed templates to generate tasks. The task generation method is single, and the tasks lack flexibility and personalization, which easily causes users to lose interest and motivation in performing tasks, and the task completion rate is not high.
[0003] Therefore, how to improve the success rate of task completion becomes an urgent problem to be solved. Summary of the invention
[0004] The present application provides a task supervision method, apparatus, device and storage medium, aiming to improve the success rate of task completion.
[0005] To achieve the above objectives, the present application provides a task supervision method, which includes:
[0006] Acquire relevant information of the user, wherein the relevant information includes at least one of user health information, user historical behavior information, and user hobby information;
[0007] Generating a target task corresponding to the user according to the relevant information;
[0008] Monitoring the execution information and / or feedback information of the target task;
[0009] The target task is adjusted according to the execution information and / or feedback information.
[0010] In addition, to achieve the above-mentioned purpose, the present application also provides a task supervision device, which includes:
[0011] An acquisition module, used to acquire relevant information of the user, wherein the relevant information includes at least one of user health information, user historical behavior information, and user hobby information;
[0012] A generating module, used to generate a target task corresponding to the user according to the relevant information;
[0013] A monitoring module, used to monitor the execution information and / or feedback information of the target task;
[0014] A processing module is used to adjust the target task according to the execution information and / or feedback information.
[0015] In addition, to achieve the above-mentioned purpose, the present application also provides a computer device, the computer device comprising a memory and a processor;
[0016] The memory is used to store computer programs;
[0017] The processor is used to execute the computer program and implement the task supervision method as described above when executing the computer program.
[0018] In addition, to achieve the above-mentioned purpose, the present application also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, it implements the steps of the above-mentioned task supervision method.
[0019] The present application discloses a task supervision method, apparatus, device and storage medium, which obtains relevant information of the user, including at least one of the user's health information, the user's historical behavior information and the user's hobby information, generates a target task corresponding to the user according to the relevant information of the user, then monitors the execution information and / or feedback information of the target task, and adjusts the target task according to the execution information and / or feedback information, that is, realizes intelligent generation of personalized tasks for each user, and also adjusts the tasks in real time, so that the user maintains interest and motivation in performing the task, thereby improving the success rate of task completion. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0021] Figure 1 It is a schematic flow chart of the steps of a task supervision method provided in an embodiment of the present application;
[0022] Figure 2 It is a schematic diagram of a task system architecture provided by an embodiment of the present application;
[0023] Figure 3 is a schematic flow chart of the steps of another task supervision method provided in an embodiment of the present application;
[0024] Figure 4 This is a flowchart of a health management task supervision provided by an embodiment of the present application;
[0025] Figure 5 This is a schematic flow chart of the steps of another task supervision method provided in an embodiment of the present application;
[0026] Figure 6 is a schematic block diagram of a task supervision device provided in an embodiment of the present application;
[0027] Figure 7 It is a schematic block diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0028] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0029] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.
[0030] It should be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.
[0031] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0032] With the development of science and technology, people use various task systems to manage related tasks, which brings convenience to people's study, life and work. For example, a corresponding health management system is used to set up and generate health management tasks, and urge oneself to manage health based on tasks. At present, the disadvantages of task system generation tasks include:
[0033] Usually, pre-set fixed templates are used to generate tasks. The task generation method is single and the tasks lack flexibility and personalization, which can easily cause users to lose interest and motivation in performing tasks, unable to persist in the long term, and the task completion rate is low.
[0034] After the task is generated, the task system lacks a dynamic adjustment mechanism and cannot update the task content in real time according to the user's progress and feedback. Moreover, after completing the task, the user cannot obtain new and challenging tasks, resulting in poor sustainability of the task.
[0035] Task generation often lacks in-depth analysis and intelligent recommendations based on user information. Since it is impossible to effectively utilize user behavior data and health data to generate personalized tasks, task generation is not targeted enough and it is difficult to maintain long-term user participation.
[0036] The task system lacks long-term planning and phased goal setting when it is designed. After completing short-term tasks, users often do not have clear medium- and long-term goals and plans, which makes it difficult to sustain the task process and maintain long-term user participation.
[0037] In order to solve the above problems, the embodiments of the present application provide a task supervision method, apparatus, device and storage medium for improving the success rate of task completion.
[0038] See also Figure 1 , Figure 1 1 is a flowchart of a task supervision method provided in an embodiment of the present application. The method can be applied to a computer device, and the application scenario of the method is not limited in the present application.
[0039] like Figure 1 As shown, the task supervision method specifically includes steps S101 to S104.
[0040] S101. Obtain relevant information of the user, wherein the relevant information includes at least one of user health information, user historical behavior information, and user hobby information.
[0041] The user's relevant information includes at least one type, including but not limited to user health information, user historical behavior information, user hobby information, etc., and each type of relevant information is obtained by performing relevant operations.
[0042] By configuring the task system, relevant information such as user health information, user historical behavior information, user hobby information, etc. is obtained based on the task system.
[0043] For example, user health information includes but is not limited to user age, gender, height, weight, body fat percentage, heart rate, etc. The task system can obtain user health information through corresponding detection equipment, or the task system obtains user health information by calling a third-party health management system (such as APP application, WeChat applet, etc.).
[0044] For another example, for user historical behavior information, the user historical behavior information includes but is not limited to the user's bedtime, the user's wake-up time, the user's exercise time, etc. The task system can obtain the user's historical behavior information by calling a third-party sports monitoring system (such as an APP, WeChat applet, etc.).
[0045] For another example, for user hobby information, the task system can obtain the user hobby information by calling the user personal information recorded by the third-party health management system. Alternatively, the task system can also obtain the user hobby information by analyzing the user's historical behavior information. For example, if the user often runs in a certain time period, the user's hobby information obtained includes running.
[0046] It should be noted that the user's relevant information is not limited to the types listed above, and the specific method of obtaining each type of relevant information is not specifically limited in this application.
[0047] Exemplarily, the task system includes a task system APP, a task system front end, and a task system back end, wherein, for example Figure 2 As shown, the task system APP includes basic components, including but not limited to GPS (Global Positioning System) positioning, recording, signature SDK (Software Development Kit), Bluetooth, camera, etc. The task system front end includes basic components and business components. The basic components of the task system front end include task interface editor, task interface UI (User Interface) renderer, UI components, etc. Business components include but not limited to task workbench, including two dimensions of tasks and to-do items. The task system back end includes configuration management module, task execution management module, etc., among which the configuration management module includes basic definition, task template, etc., and the task execution management module includes task context, task flow control, etc. Task flow control specifically includes executing related task links after the task starts, such as executing each related task link through the related task gateway until the task ends.
[0048] S102: Generate a target task corresponding to the user according to the relevant information.
[0049] After obtaining the relevant information of the user, the relevant information of the user is analyzed to dynamically generate a personalized task for the user. In order to facilitate the distinction and description, the generated personalized task of the user is referred to as the target task below.
[0050] Compared with the existing task system that uses a pre-set fixed template to generate tasks, the target tasks generated according to the user's relevant information have a variety of task types and task contents. For example, the target tasks include multiple types of task contents. Among them, the types corresponding to the task contents include at least one of learning, entertainment, and fitness. That is, the target tasks cover multiple aspects such as health, entertainment, and learning, avoiding the singleness and repetitiveness of the target tasks, so that users can keep fresh and interested in the target tasks.
[0051] In some embodiments, generating the target task corresponding to the user based on the relevant information includes: using a preset task recommendation model to analyze the relevant information to generate the target task.
[0052] By using big data and artificial intelligence technology, an intelligent task recommendation model is constructed, wherein the task recommendation model can be a decision tree algorithm model. Of course, the task recommendation model can also be other types of models, such as a multi-task learning algorithm model, a hierarchical task network planning algorithm model, etc.
[0053] The task recommendation model is used to analyze the relevant information of users and generate personalized target tasks for users, which overcomes the shortcomings of the existing task system in generating tasks that are not scientific and targeted enough and improves the relevance and effectiveness of tasks.
[0054] In some embodiments, the use of a preset task recommendation model to analyze the relevant information and before generating the target task includes: obtaining a big data sample; and performing model training on the task recommendation model based on the big data sample to generate the task recommendation model.
[0055] Before calling the task recommendation model, the initially constructed task recommendation model is first trained. Exemplarily, the task recommendation model is trained based on a supervised learning algorithm.
[0056] By obtaining a big data sample, wherein the big data sample includes a large amount of user-related information (including but not limited to each user's health information, user historical behavior information, user hobby information, etc.) and marked task labels, the big data sample is used as an input training sample of the task recommendation model, and the task recommendation model is trained to obtain a trained task recommendation model.
[0057] Afterwards, after obtaining the relevant information of the user, the relevant information is input into the task recommendation model to analyze the relevant information of the user and output the target task corresponding to the user.
[0058] S103: Monitor the execution information and / or feedback information of the target task.
[0059] After the user's target task is generated, the user can perform relevant behavioral operations based on the generated target task, execute the target task, continuously monitor the target task, and obtain at least one of the execution information and feedback information of the target task. Among them, the execution information includes but is not limited to the execution status of the user's task, such as whether the task has started to be executed, whether the execution has been interrupted, etc., and the feedback information includes but is not limited to the feedback information given by the user when executing the task, such as the task execution is too easy, the task execution is very difficult, the task execution difficulty is moderate, etc.
[0060] S104: Adjust the target task according to the execution information and / or feedback information.
[0061] By continuously monitoring the execution information and / or feedback information of the target task, the target task is automatically adjusted according to the execution information and / or feedback information of the target task, thereby ensuring the continuity and sustainability of the task.
[0062] Exemplarily, according to the execution information and / or feedback information of the target task, the task difficulty, execution content and other information of the target task are automatically adjusted.
[0063] For example, taking user exercise management as an example, relevant information about the user is obtained, such as the user's age, weight, body fat percentage, heart rate, and the user's hobby of walking, and a target task is generated for the user to walk 10,000 steps every day. The user can perform walking exercises every day according to the target task, and the task system monitors the user's exercise status. If it is monitored that the user has not completed 10,000 steps for several days, it means that the target task is too difficult for the user. In this case, the target task is adjusted, such as reducing the number of steps, and the target task is adjusted to 8,000 steps per day, so that the user will not lose confidence due to failure to complete 10,000 steps, and continue to maintain interest and motivation in executing the target task.
[0064] In some embodiments, after generating the target task corresponding to the user according to the relevant information, the method further includes: after the target task is completed, outputting a response result of the task completion based on a preset feedback incentive strategy.
[0065] Exemplarily, the task system configures a corresponding feedback incentive strategy, wherein the feedback incentive strategy includes but is not limited to points, levels, rewards, etc. for task completion. After the user completes the target task, the task system outputs the corresponding task completion response result based on the preset feedback incentive strategy, and provides the user with immediate and specific feedback and rewards after completing the target task. For example, feedback is given to improve the user's healthy exercise behavior, and the user is enabled to exercise healthier through feedback. For another example, if the user successfully completes the task, reasonable incentives are provided, such as giving the user a corresponding number of points, upgrading the user's account level, and rewarding corresponding coupons, etc., thereby stimulating the user's enthusiasm, enhancing the user's sense of accomplishment and motivation for continued participation.
[0066] In some embodiments, Figure 3 As shown, step S105 may be further included after step S102.
[0067] S105. If the target task is a first type task, then after the target task is completed, a new task is generated, and the new task is a second type task; wherein the first type task is a short-term task, and the second type task is a medium- to long-term task.
[0068] In actual applications, after completing short-term tasks, users often do not have clear medium- and long-term goals and plans, which makes it difficult to continue the tasks and maintain long-term user participation. Therefore, phased planning and long-term planning are introduced into the task system. According to the user's relevant information, the target task corresponding to the first type of task (that is, the short-term target task) is generated. When the user completes the target task, a new task corresponding to the second type of task is generated, that is, a new medium- and long-term task. Help users set clear medium- and long-term goals, so that users can better continue to participate in the long term.
[0069] For the generated new task, the new task is still continuously monitored to obtain at least one of the execution information and feedback information of the new task. The specific operation is as described in the previous embodiment, so it will not be repeated here.
[0070] By continuously monitoring the execution information and / or feedback information of new tasks, the new tasks are automatically adjusted according to the execution information and / or feedback information of the new tasks, thereby ensuring the continuity and sustainability of the tasks. For example, the task difficulty, execution content and other information of the new tasks are automatically adjusted according to the execution information and / or feedback information of the new tasks.
[0071] After the user completes a new task, the task system can output the corresponding task completion response results based on the preset feedback incentive strategy, and provide the user with immediate and specific feedback and rewards after completing the new task. For example, if the user successfully completes the new task, reasonable incentives can be used to stimulate the user's enthusiasm, enhance the user's sense of accomplishment and motivation for continued participation.
[0072] For example, taking user A's health management as an example, Figure 4 As shown, when the task system triggers health management, it obtains relevant information such as user A's user health information, user historical behavior information, user hobby information, and then generates tasks corresponding to user A based on the relevant information obtained, such as daily exercise tasks, so that user A can perform corresponding exercises according to the generated tasks. The task system continuously monitors the execution of user A's tasks, and after user A completes the task, rewards or feedback is given to user A, such as giving feedback to improve the user's health exercise behavior, so that the user can exercise healthier through feedback. It is also possible to stimulate user A's enthusiasm through reasonable incentives, enhance user A's sense of accomplishment and motivation for continued participation. In addition, based on the execution information and / or feedback information of monitoring user A's execution of tasks, fill in user A's relevant information, and then adjust the task and regenerate the task by analyzing the latest relevant information of user A.
[0073] In addition, when the generated task is a short-term task, user A often does not have clear medium- and long-term goals and plans after completing the short-term task, which may make it difficult to maintain user A's long-term participation. Therefore, in order to help user A set clear phased goals, such as medium- and long-term goals, the task is regenerated to maintain the user's long-term participation.
[0074] Through the above health management, the sustainability of tasks can be significantly improved, ensuring that users can continue to participate in the health management process, and improving the effectiveness of health management services and user satisfaction. In addition, the continuous execution of health management tasks not only focuses on physical health, but also involves mental health, lifestyle and other aspects. Through all-round health management, the overall quality of life of users is significantly improved.
[0075] Moreover, users can accumulate a large amount of health data by continuously performing health management tasks. By analyzing these data, the task system can understand the health status of users more accurately and provide personalized health advice and intervention measures. In addition, the frequency of interaction between users and the task system increases, which enhances the user's sense of participation and belonging and improves the user stickiness of the task system.
[0076] In some embodiments, Figure 5As shown, step S102 may include step S106, step S103 may include sub-step S1031, and step S104 may include sub-step S1041.
[0077] S106, planning the target task and generating a corresponding plurality of related subtasks;
[0078] S1031, monitoring the execution information and / or feedback information of each of the related subtasks;
[0079] S1041. Adjust the relevant subtask according to the execution information and / or feedback information of the relevant subtask.
[0080] In actual applications, the target task may be a large task. Through the task system, the large target task can be decomposed into multiple small tasks to generate corresponding multiple related subtasks. Among them, multiple related subtasks can be different types of tasks involving various aspects, such as diet punching, exercise punching, blood pressure monitoring, blood sugar monitoring, follow-up and other tasks. The types and intensities of each related subtask are different, and the user can gradually complete each related subtask, thereby enhancing the systematicness and sustainability of the task. For each related subtask, the execution information and / or feedback information of each related subtask is monitored separately, and then each related subtask is adjusted according to the execution information and / or feedback information of each related subtask. The specific operation process can be referred to the previous embodiment, so it will not be repeated here.
[0081] For example, taking the weight loss task as an example, the weight loss task is broken down into multiple small tasks, including but not limited to diet check-in, exercise check-in, blood pressure monitoring, blood sugar monitoring, etc.
[0082] For the diet punch-in task, the execution information and feedback information of the diet punch-in task are continuously monitored, for example, whether the user punches in for each meal, the user's feedback information on the diet punch-in, etc. According to the execution information and feedback information of the diet punch-in task obtained through monitoring, the diet punch-in task is automatically adjusted to ensure the continuity and sustainability of the diet punch-in task. After the user completes the diet punch-in task, the task system can output the corresponding task completion response result based on the preset feedback incentive strategy, and provide the user with immediate and specific feedback and rewards after completing the diet punch-in task. For example, if the user successfully completes the diet punch-in task, the user's enthusiasm can be stimulated through reasonable incentives, and the user's sense of accomplishment and motivation for continued participation can be enhanced.
[0083] For the sports punch-in task, the execution information and feedback information of the sports punch-in task are continuously monitored, for example, whether the user performs sports punch-in every day, the user's feedback information on the sports punch-in, etc. According to the execution information and feedback information of the sports punch-in task obtained by monitoring, the sports punch-in task is automatically adjusted to ensure the continuity and sustainability of the sports punch-in task. After the user completes the sports punch-in task, the task system can output the corresponding task completion response result based on the preset feedback incentive strategy, and provide the user with immediate and specific feedback and rewards after completing the sports punch-in task. For example, feedback is given to improve the user's sports movements, so that the user's sports movements are more standardized and effective through feedback.
[0084] The task supervision process of other tasks such as blood pressure monitoring and blood sugar monitoring is similar to that described in the examples listed above and will not be repeated here.
[0085] In some embodiments, after generating the target task corresponding to the user according to the relevant information, the method further includes: outputting task reminder information corresponding to the target task.
[0086] In order to help users perform tasks better, after the target task is generated, the task system can regularly remind and output the task reminder information corresponding to the target task. It should be noted that the task reminder information includes but is not limited to voice reminder information, text reminder information, etc., so as to help users complete the target task on time, avoid omissions and slackness, and further ensure the effective execution of the target task.
[0087] For example, still taking the weight loss tasks listed above, for example, for the diet check-in task, the user can set the reminder time for the diet check-in in advance, such as setting three reminder times for morning, noon and evening. Whenever the reminder time set by the user is reached, the diet check-in task reminder information is output to remind the user to perform the diet check-in operations in the morning, noon and evening in time to avoid missing the diet check-in for each meal.
[0088] For example, for the exercise check-in task, the user can set the reminder time for the exercise check-in in advance, such as 9 o'clock every night. Whenever the reminder time set by the user is reached (such as 9 o'clock in the evening), the exercise check-in task reminder information is output to remind the user to exercise and check in in time, thereby further ensuring the effective execution of the exercise.
[0089] In the above embodiment, by obtaining relevant information of the user, the relevant information includes at least one of the user's health information, the user's historical behavior information, and the user's hobby information, a target task corresponding to the user is generated according to the relevant information of the user, and then the execution information and / or feedback information of the target task is monitored, and the target task is adjusted according to the execution information and / or feedback information, that is, personalized tasks are intelligently generated for each user, and the tasks are adjusted in real time, so that the user maintains interest and motivation in performing the tasks, thereby improving the success rate of task completion.
[0090] See also Figure 6 , Figure 6 It is a schematic block diagram of a task supervision device provided in an embodiment of the present application. The task supervision device can be configured in a computer device to execute the aforementioned task supervision method.
[0091] like Figure 6 As shown, the task supervision device 1000 includes: an acquisition module 1001 , a generation module 1002 , a monitoring module 1003 , and a processing module 1004 .
[0092] An acquisition module 1001 is used to acquire relevant information of a user, wherein the relevant information includes at least one of user health information, user historical behavior information, and user hobby information;
[0093] A generating module 1002 is used to generate a target task corresponding to the user according to the relevant information;
[0094] Monitoring module 1003, used to monitor the execution information and / or feedback information of the target task;
[0095] The processing module 1004 is used to adjust the target task according to the execution information and / or feedback information.
[0096] In one embodiment, the generating module 1002 is further used for:
[0097] Planning the target task and generating a corresponding plurality of related subtasks;
[0098] The monitoring module 1003 is also used for:
[0099] Monitoring the execution information and / or feedback information of each of the related subtasks;
[0100] The processing module 1004 is further configured to:
[0101] The related subtasks are adjusted according to the execution information and / or feedback information of the related subtasks.
[0102] In one embodiment, the generating module 1002 is further used for:
[0103] If the target task is a first type task, then after the target task is completed, a new task is generated, and the new task is a second type task; wherein the first type task is a short-term task, and the second type task is a medium- to long-term task.
[0104] In one embodiment, the target task includes multiple types of task content, and the types include at least one of learning, entertainment, and fitness.
[0105] In one embodiment, the generating module 1002 is further used for:
[0106] The relevant information is analyzed using a preset task recommendation model to generate the target task.
[0107] In one embodiment, the task supervision device 1000 further includes a training module for:
[0108] Get big data samples;
[0109] The task recommendation model is trained according to the big data sample to generate the task recommendation model.
[0110] In one embodiment, the processing module 1004 is further configured to:
[0111] After the target task is completed, a response result of task completion is output based on a preset feedback incentive strategy.
[0112] Among them, each module in the above-mentioned task supervision device 1000 corresponds to each step in the above-mentioned task supervision method embodiment, and its functions and implementation processes will not be repeated here one by one.
[0113] The method and apparatus of the present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.
[0114] Exemplarily, the above method and apparatus may be implemented in the form of a computer program. The computer program may be implemented in Figure 7 Runs on the computer device shown.
[0115] See also Figure 7 , Figure 7 It is a schematic block diagram of the structure of a computer device provided in an embodiment of the present application.
[0116] See also Figure 7 The computer device includes a processor and a memory connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.
[0117] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.
[0118] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any task supervision method.
[0119] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.
[0120] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:
[0121] Acquire relevant information of the user, wherein the relevant information includes at least one of user health information, user historical behavior information, and user hobby information;
[0122] Generating a target task corresponding to the user according to the relevant information;
[0123] Monitoring the execution information and / or feedback information of the target task;
[0124] The target task is adjusted according to the execution information and / or feedback information.
[0125] In one embodiment, after generating the target task corresponding to the user according to the relevant information, the processor is configured to implement:
[0126] Planning the target task and generating a corresponding plurality of related subtasks;
[0127] When the processor implements the monitoring of the execution information and / or feedback information of the target task, it is used to implement:
[0128] Monitoring the execution information and / or feedback information of each of the related subtasks;
[0129] When the processor adjusts the target task according to the execution information and / or feedback information, the processor is used to implement:
[0130] The related subtasks are adjusted according to the execution information and / or feedback information of the related subtasks.
[0131] In one embodiment, after generating the target task corresponding to the user according to the relevant information, the processor is configured to implement:
[0132] If the target task is a first type task, then after the target task is completed, a new task is generated, and the new task is a second type task; wherein the first type task is a short-term task, and the second type task is a medium- to long-term task.
[0133] In one embodiment, the target task includes multiple types of task content, and the types include at least one of learning, entertainment, and fitness.
[0134] In one embodiment, when the processor generates the target task corresponding to the user according to the relevant information, it is used to implement:
[0135] The relevant information is analyzed using a preset task recommendation model to generate the target task.
[0136] In one embodiment, before implementing the adopting of a preset task recommendation model to analyze the relevant information and generate the target task, the processor is used to implement:
[0137] Get big data samples;
[0138] The task recommendation model is trained according to the big data sample to generate the task recommendation model.
[0139] In one embodiment, after generating the target task corresponding to the user according to the relevant information, the processor is configured to implement:
[0140] After the target task is completed, a response result of task completion is output based on a preset feedback incentive strategy.
[0141] An embodiment of the present application also provides a computer-readable storage medium.
[0142] The computer-readable storage medium of the present application stores a computer program, and when the computer program is executed by a processor, the steps of the task supervision method as described above are implemented.
[0143] The computer-readable storage medium may be an internal storage unit of the task supervision device or computer device described in the above embodiments, such as a hard disk or memory of the task supervision device or computer device. The computer-readable storage medium may also be an external storage device of the task supervision device or computer device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital card (Secure Digital Card, SD Card), a flash card (Flash Card), etc., equipped on the task supervision device or computer device.
[0144] Furthermore, the computer-readable storage medium may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function, etc.; the data storage area may store data created according to the use of the blockchain node, etc.
[0145] The blockchain referred to in this application is a new application model of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanism, encryption algorithm, etc. Blockchain is essentially a decentralized database, a string of data blocks generated by cryptographic methods. Each data block contains a batch of network transaction information, which is used to verify the validity of its information (anti-counterfeiting) and generate the next block. Blockchain can include the underlying blockchain platform, platform product service layer, and application service layer.
[0146] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.
[0147] The above description is only a specific implementation mode of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or substitutions within the technical scope disclosed in the present application, and these modifications or substitutions should be included in the protection scope of the present application.
Claims
1. A task supervision method, characterized in that: The task supervision method comprises: Acquire relevant information of the user, wherein the relevant information includes at least one of user health information, user historical behavior information, and user hobby information; Generating a target task corresponding to the user according to the relevant information; Monitoring the execution information and / or feedback information of the target task; The target task is adjusted according to the execution information and / or feedback information.
2. The task supervision method according to claim 1, characterized in that: After generating the target task corresponding to the user according to the relevant information, the method includes: Planning the target task and generating a corresponding plurality of related subtasks; The monitoring of the execution information and / or feedback information of the target task includes: Monitoring the execution information and / or feedback information of each of the related subtasks; The adjusting the target task according to the execution information and / or feedback information includes: The related subtasks are adjusted according to the execution information and / or feedback information of the related subtasks.
3. The task supervision method according to claim 1, characterized in that: After generating the target task corresponding to the user according to the relevant information, the method includes: If the target task is a first type task, then after the target task is completed, a new task is generated, and the new task is a second type task; wherein the first type task is a short-term task, and the second type task is a medium- to long-term task.
4. The task supervision method according to claim 1, characterized in that: The target task includes multiple types of task content, and the types include at least one of learning, entertainment, and fitness.
5. The task supervision method according to claim 1, characterized in that: Generating a target task corresponding to the user according to the relevant information includes: The relevant information is analyzed using a preset task recommendation model to generate the target task.
6. The task supervision method according to claim 5, characterized in that: The adopting of a preset task recommendation model to analyze the relevant information and generate the target task includes: Get big data samples; The task recommendation model is trained according to the big data sample to generate the task recommendation model.
7. The task supervision method according to claim 1, characterized in that: After generating the target task corresponding to the user according to the relevant information, the method includes: After the target task is completed, a response result of task completion is output based on a preset feedback incentive strategy.
8. A task supervision device, characterized in that: The task supervision device comprises: An acquisition module, used to acquire relevant information of the user, wherein the relevant information includes at least one of user health information, user historical behavior information, and user hobby information; A generating module, used to generate a target task corresponding to the user according to the relevant information; A monitoring module, used to monitor the execution information and / or feedback information of the target task; A processing module is used to adjust the target task according to the execution information and / or feedback information.
9. A computer device, characterized in that: The computer device includes a memory and a processor; The memory is used to store computer programs; The processor is used to execute the computer program and implement the task supervision method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the task supervision method according to any one of claims 1 to 7 are implemented.