WO2023005737A1

WO2023005737A1 - Schedule management method and terminal device

Info

Publication number: WO2023005737A1
Application number: PCT/CN2022/106487
Authority: WO
Inventors: 郝增光
Original assignee: 花瓣云科技有限公司
Priority date: 2021-07-30
Filing date: 2022-07-19
Publication date: 2023-02-02
Also published as: CN115686698A

Abstract

A schedule management method applied to an information flow application having a schedule management button in a terminal device. The method comprises: acquiring a new schedule task instruction generated by a user by triggering a schedule management button in an information flow application; determining new task information according to the new schedule task instruction; then inputting the new task information to a schedule task time prediction model to determine a predicted schedule time period; and then determining a planned schedule execution time according to the predicted schedule time period. Then a new schedule task can be determined according to the new task information and the planned schedule execution time, and it could be understood that the new schedule task comprises the new task information and the planned schedule execution time. According to the present application, a schedule management button is added to an information flow application, so that a user can directly add a schedule task by means of the schedule management button in the information flow application, thereby ensuring that a user can utilize time more efficiently, and improving the self-discipline of a user.

Description

A schedule management method and terminal device

This application claims the priority of a Chinese patent application filed with the State Intellectual Property Office of China on July 30, 2021, with application number 202110874437.8, and application title "A Schedule Management Method and Terminal Device", the entire contents of which are incorporated by reference in In this application.

technical field

The present application relates to the field of electronic technology, and in particular to a schedule management method and a terminal device.

Background technique

At present, the mobile phone has become an indispensable device in people's daily life, and many applications (applications, APPs) are usually installed on the mobile phone, which makes people now extremely dependent on the mobile phone. Among them, the presentation method of the content in the APP is mainly the information flow, and the information flow can be refreshed infinitely. Among them, there are many kinds of APPs with characteristics of information flow, such as information APPs, video APPs, and shopping APPs. That is to say, such APPs will constantly present new content for users to watch, so as to ensure that users use the APP to browse new content for a long time. However, if the user browses the content presented by the APP without stopping for a long time, it will easily disrupt the user's original plan and reduce the user's self-discipline.

At present, although there are some schedule management apps to record the user's schedule, such apps require users to manually add schedule information in different usage scenarios, which is very inconvenient to use, so there is an urgent need for a unified The method of schedule management performs schedule management on the above-mentioned APP with information flow characteristics.

Contents of the invention

The embodiment of the present application provides a schedule management method, in which a user can directly add a new schedule task through a schedule management button in the information flow application, so that the user can use time more effectively and improve the user's self-discipline.

In a first aspect, a schedule management method is provided, and the method can be applied to an information flow application in a terminal device. Wherein, the information flow application has a schedule management button. Information streaming applications may include shopping applications, video applications, music playing applications, information applications, reading applications, and the like. The method may include: acquiring a new schedule task instruction generated by a user through a schedule management button in the information flow application. Afterwards, the newly added task information may be determined according to the newly added schedule task instruction. Then, the newly added task information is input into the schedule task time prediction model, so as to determine the forecast schedule time period. Then determine the execution time of the schedule according to the predicted schedule time period. Afterwards, the new scheduled task may be determined according to the newly added task information and the scheduled execution time. It can be understood that the newly added scheduled task includes the newly added task information and the scheduled execution time. In this application, by adding a schedule management button in the information flow application, the user can directly add a schedule task through the schedule management button in the information flow application, which ensures that the user can use time more effectively and improves the self-discipline of the user.

In a possible implementation manner, the terminal device may further include a schedule management application. Determining the schedule execution time according to the predicted schedule time period may include: obtaining the execution time of at least one other schedule task in the schedule management application. Then, the schedule execution time is determined according to the predicted schedule time period and the execution time of at least one other schedule task. In this application, the scheduled execution time of the newly added scheduled task may also be determined in combination with the execution time of other scheduled tasks. In this way, execution time conflicts between various scheduled tasks are avoided.

In a possible implementation manner, after the schedule execution time is determined according to the predicted schedule time period, the method may further include: displaying the schedule execution time. Afterwards, the modification instruction sent by the user is received. Then adjust the execution time of the schedule plan according to the modification instruction. The application can also display the schedule time so that the user can manually adjust to a more suitable time.

In a possible implementation manner, the newly added task information may include user information. After the new scheduled task is determined, the method may further include: if the execution time of other scheduled tasks overlaps with the scheduled execution time, inputting user information into the execution preference prediction model to determine the user's execution preference of the scheduled task. Afterwards, the execution sequence of other scheduled tasks and the newly added scheduled task is determined according to the scheduled task execution preference. This application can also determine the order of execution according to the user's preference when there is an execution time conflict between the newly added schedule task and other schedule tasks, thereby ensuring that the user can use time more effectively and improving the self-discipline of the user.

In a possible implementation manner, the method may further include: recording behavior information of the scheduled task after the scheduled task is executed. Wherein, the behavior information of the scheduled task may include the actual execution time of the scheduled task and the task information of the scheduled task. A schedule task may include other schedule tasks and/or newly added schedule tasks. Afterwards, the schedule time prediction model can be updated according to the behavior information of the schedule task. The application can also record the behavior information of the scheduled task after the scheduled task is executed, and update the schedule time prediction model according to the behavior information, so that the predicted schedule time period of the newly added scheduled task can be predicted more accurately later.

In a possible implementation manner, the method may further include: recording behavior information of the scheduled task after the scheduled task is executed. The behavior information of the scheduled task may include user information corresponding to the scheduled task and category information of the scheduled task. Scheduled tasks include other scheduled tasks and/or newly added scheduled tasks. Afterwards, the execution preference prediction model can be updated according to the behavior information of the scheduled tasks. The present application can also record the behavior information of the scheduled task after the scheduled task is executed, and update the execution preference prediction model according to the behavior information, so that the user's preference can be predicted more accurately later.

In a possible implementation manner, the method may further include: if the time difference between the last execution time of the scheduled task and the current time is greater than or equal to a preset time threshold, acquiring user information. Wherein, the schedule task may include other schedule tasks and/or newly added schedule tasks. Afterwards, the user information can be input into the execution preference prediction model to determine the user's schedule task execution preference. Then, a recommended schedule task is determined according to the user's schedule task execution preference, and the recommended schedule task is used as a new schedule task. The present application can also automatically generate a schedule task that the user is interested in according to the user's preference when the user has not performed the schedule task for a period of time, which enriches the user experience.

In a possible implementation manner, adding the recommended schedule task as a newly added schedule task may include: displaying the recommended schedule task. Then, a confirmation instruction from the user is received. Then use the recommended schedule task as a new schedule task according to the confirmation instruction. The present application can also determine whether to use the recommended schedule task as a new schedule task according to the actual needs of the user, which enriches the user experience.

In a possible implementation manner, the method may further include: adding a new schedule task to a schedule management application in the terminal device. This application can also synchronize the newly added schedule tasks to the schedule management application of the terminal device, so that the user can plan the schedule tasks more conveniently and enrich the user experience.

In the second aspect, a schedule management terminal device is provided, the terminal device includes an information flow application, the information flow application has a schedule management button, and the information flow application includes a shopping application, a video application, a music playing application, an information application and a reading application, The terminal device includes: the processor is used for coupling with the memory, and reads and executes the instructions stored in the memory; when the processor is running, the instructions are executed, so that the processor is used to obtain the new schedule task instruction, and the new schedule task instruction is for the user to pass Triggered by the schedule management button in the information flow application; determine the new task information according to the new schedule task instruction; input the new task information into the schedule task time prediction model to determine the forecast schedule time period; determine according to the forecast schedule time period schedule execution time; determine the new schedule task, wherein the new schedule task includes the new task information and the schedule execution time. In this application, by adding a schedule management button in the information flow application, the user can directly add a schedule task through the schedule management button in the information flow application, which ensures that the user can use time more effectively and improves the self-discipline of the user.

In a possible implementation, the terminal device further includes a schedule management application; the processor is further configured to: obtain the execution time of at least one other schedule task in the schedule management application; , to determine the schedule execution time. In this application, the scheduled execution time of the newly added scheduled task may also be determined in combination with the execution time of other scheduled tasks. In this way, execution time conflicts between various scheduled tasks are avoided.

In a possible implementation manner, the processor is further configured to: control the display to display the schedule execution time; receive a modification instruction sent by the user; and adjust the schedule execution time according to the modification instruction. The application can also display the schedule time so that the user can manually adjust to a more suitable time.

In a possible implementation, the processor is further configured to: control the display to add task information including user information to the scheduled execution time; the processor is also configured to: if the execution time of other scheduled tasks overlaps with the scheduled execution time , input user information into the execution preference prediction model to determine the user's schedule task execution preference; determine the execution order of other schedule tasks and newly added schedule tasks according to the schedule task execution preference. This application can also determine the order of execution according to the user's preference when there is an execution time conflict between the newly added schedule task and other schedule tasks, thereby ensuring that the user can use time more effectively and improving the self-discipline of the user.

In a possible implementation manner, the processor is further configured to: record the behavior information of the scheduled task after the scheduled task is executed, and the behavior information of the scheduled task includes the actual execution time of the scheduled task and the task information of the scheduled task, wherein, the schedule The tasks include other scheduled tasks and/or new scheduled tasks; the schedule time prediction model is updated according to the behavior information of the scheduled tasks. The application can also record the behavior information of the scheduled task after the scheduled task is executed, and update the schedule time prediction model according to the behavior information, so that the predicted schedule time period of the newly added scheduled task can be predicted more accurately later.

In a possible implementation manner, the processor is further configured to: record the behavior information of the scheduled task after the scheduled task is executed, and the behavior information of the scheduled task includes user information corresponding to the scheduled task and category information of the scheduled task, wherein, the scheduled task The tasks include other scheduled tasks and/or newly added scheduled tasks; the execution preference prediction model is updated according to the behavior information of the scheduled tasks. The present application can also record the behavior information of the scheduled task after the scheduled task is executed, and update the execution preference prediction model according to the behavior information, so that the user's preference can be predicted more accurately later.

In a possible implementation manner, the processor is further configured to: if the time difference between the time when the last scheduled task was executed and the current moment is greater than or equal to a preset time threshold, obtain user information, where the scheduled task includes other scheduled tasks and /or add a new schedule task; input user information into the execution preference prediction model to determine the user's schedule task execution preference; determine the recommended schedule task according to the user's schedule task execution preference, and use the recommended schedule task as a new schedule task. The present application can also automatically generate a schedule task that the user is interested in according to the user's preference when the user has not performed the schedule task for a period of time, which enriches the user experience.

In a possible implementation manner, the processor is further configured to: control the display to display the recommended schedule task; receive a confirmation instruction from the user; and use the recommended schedule task as a new schedule task according to the confirmation instruction. The present application can also determine whether to use the recommended schedule task as a new schedule task according to the actual needs of the user, which enriches the user experience.

In a possible implementation manner, the processor is further configured to: add a new schedule task to a schedule management application in the terminal device. This application can also synchronize the newly added schedule tasks to the schedule management application of the terminal device, so that the user can plan the schedule tasks more conveniently and enrich the user experience.

In a third aspect, a computer-readable storage medium is provided. Instructions are stored in the computer-readable storage medium, and it is characterized in that, when the instructions are run on a terminal, the terminal is made to execute any one of the methods in the first aspect.

In a fourth aspect, a computer device containing instructions is provided, and when it is run on a terminal, it causes the terminal to execute any one of the methods in the first aspect.

In a fifth aspect, there is provided a computer program product containing instructions, which, when run on a computer, cause the computer to execute any one of the methods in the first aspect.

This application discloses a schedule management method. By adding a schedule management button in the information flow application, the user can directly click the schedule management button to add a new schedule task when using the information flow application, so that the user can use the schedule more effectively. Time to improve user self-discipline.

Description of drawings

FIG. 1 is a schematic diagram of an application scenario provided by an embodiment of the present application;

Fig. 2 is a schematic diagram of a video APP new movie reservation;

Fig. 3 is a schematic diagram of weekly update table of video APP animation;

Fig. 4 is a schematic diagram of a video APP collection interface;

Fig. 5 is a schematic diagram of a sports event arrangement of a video APP;

Figure 6a is a schematic diagram of a shopping APP product reservation;

Figure 6b is a schematic diagram of another shopping APP product reservation;

Fig. 7 is a schematic diagram of a schedule management APP interface;

FIG. 8 is a schematic diagram of a schedule management architecture provided by an embodiment of the present application;

FIG. 9 is a schematic diagram of an information flow APP interface provided by an embodiment of the present application;

FIG. 10 is a flow chart of a schedule management method provided in an embodiment of the present application;

FIG. 11 is a flow chart of another schedule management method provided in the embodiment of the present application;

FIG. 12 is a flow chart of another schedule management method provided in the embodiment of the present application;

FIG. 13 is a flow chart of another schedule management method provided in the embodiment of the present application;

FIG. 14 is a schematic diagram of time segment division provided by the embodiment of the present application;

FIG. 15 is a schematic diagram of an interface for user modification and confirmation of adding a new schedule task provided by the embodiment of the present application;

Fig. 16 is a schematic diagram of an interface prompting that a newly added schedule task is successfully added provided by the embodiment of the present application;

Fig. 17 is a schematic diagram of a schedule management device provided by an embodiment of the present application;

FIG. 18 is a schematic diagram of a terminal device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

This application is mainly applied to the scenario where a user browses an APP with information flow characteristics on a terminal device. For example, in the schematic diagram of the scene shown in Figure 1, terminal devices are usually installed with APPs with characteristics of information flow, such as information APPs, video APPs, shopping APPs, etc. Figure 1 shows video APPs as examples. When users browse this kind of APP with the characteristics of information flow, they can usually obtain a large amount of information flow. This makes users extremely susceptible to being influenced by the large amount of information obtained, causing users' original plans to be put on hold and disrupted. Taking the video APP as an example, the user may pre-plan to open the video APP to watch a certain TV series. However, since the homepage of the video APP is usually filled with a large number of recommended videos, most of them follow current events or meet the user’s hobbies. , so users tend to be attracted to and watch these videos. When the user watches the recommended video of the video APP for a long time, it will eventually cause the user's plan to watch TV dramas to be delayed.

The current information flow APP usually does not have the function of adding a schedule task, nor can it effectively manage the schedule task. Still taking video apps as an example, some of the video apps on terminal devices currently have the function of booking new movies. For example, when the user clicks the "reserve" button, the schedule task of watching a new movie is added to the schedule management application of the system, such as a calendar APP. Afterwards, when the new movie is about to go online, corresponding notification reminders can be made according to the schedule tasks to remind the user to watch the reserved new movie. For example, as shown in FIG. 2 , the user clicks the "reserve" button of a movie, and then the terminal device displays the schedule interface shown on the right side of FIG. 2 . This interface includes information such as the execution time of the schedule and the source of the video. At the same time, reminder information is also included, so as to remind the user to watch in the corresponding time period. However, such functions are usually limited to new film reservations, and for videos that have already been released or short videos, etc., it is not possible to add reservations for viewing.

In addition, some video apps provide the function of weekly animation schedule. This type of function is mainly for animation videos, and the table uses weeks as the time unit to list the animations updated on each day of the week. Obviously, this function is to adapt to the animation video that is updated once a week. This makes it easy for users to check. For example, as shown in Figure 3, the user can view the updated animations of this week through the weekly animation update list of the video APP, for example, the updated animations can be divided according to different days. For example, XXX and XXX were updated on Monday, and XXX, XXX, and XXX were updated on Tuesday. Obviously, this kind of function is also limited to the animation videos updated weekly. At the same time, this method only prompts when a certain animation will be updated, and does not provide targeted reminders. Moreover, this kind of animation weekly update table is very important for users. It is not targeted, that is to say, it will not be reminded only for the anime that the user likes.

In some cases, some video apps also provide the function of video collection. For example, there are some videos that the user wants to watch, but the user may not be able to watch them due to some reasons at this time, you can bookmark the videos you want to watch, so that you can find the videos you want to watch in the favorites later. For example, as shown in FIG. 4 , it can be seen that the user can check and watch the previously favorited videos through "My Favorites" during free time. However, this kind of method only realizes collection, not a daily task, and obviously does not remind users to watch at a certain point in time. This method requires users to consult and watch in their free time.

In some cases, some video apps also provide some live events, so in some cases, video apps that include live events can provide a list of event schedules. This type of list usually arranges the games to be played within a period of time in chronological order, and there may be games that have ended, games that are in progress, and games that will be played in the future. For example, as shown in FIG. 5 , the user can view various sports events within a period of time through the event arrangement, and the event arrangement can arrange the various sports events in chronological order. The user can watch the corresponding event at the corresponding time point by checking the running time of the corresponding event. The user can also add a game reminder, which is used to remind the user to watch the game when it is about to start. The live broadcast of such events often defaults to reminding a certain time before the start of the game, and users usually cannot set the schedule tasks for this reminder.

In view of the above situation, it can be seen that there are not many scenarios where video APPs have schedule management, and the schedule management methods of different scenarios are quite different. It can be seen that current video APPs do not have a real schedule management module to manage users' schedules Task. It cannot help users plan their time reasonably, nor can it improve users' self-discipline.

For shopping apps, some current plans provide the function of making an appointment to purchase. The user makes an appointment for a certain product, so that the user can be reminded to make a purchase when the panic buying starts. For example, as shown in Fig. 6a and Fig. 6b, among them, Fig. 6a is a shopping interface for a certain commodity, and the user can make an appointment by clicking the "reservation" button, so as to remind the user to make a purchase at the corresponding rush-purchase time. After the user completes the reservation, FIG. 6 b shows a reservation list, and the reservation list includes information of commodities that the user has successfully reserved. Such solutions currently only involve purchase scenarios and are not applicable to other scenarios. At the same time, similar to the live event scene in the video APP, the reminder is often given a certain time before the start of the purchase by default, and the user usually cannot set the schedule task for this reminder.

In view of the above situation, in some solutions, an independent schedule management APP is provided, and users manage their own schedule tasks by using such APP. For example, as shown in FIG. 7 , the user can manually add various schedule tasks and set corresponding parameter information, such as title, execution time, reminder information, and the like. However, since the independent schedule management APP and the information flow APP are completely independent and different APPs, when users use the information flow APP, if they want to create a schedule task, they need to re-enter the schedule management APP and perform manual settings. . This makes for a very poor user experience.

It can be seen that among the various information flow apps currently on the market, schedule management solutions are only designed for some scenarios, and more usage scenarios, such as short videos and videos that have already been launched, do not have corresponding schedule management functions. At the same time, for some functions such as scheduled viewing and scheduled purchase, users cannot edit and modify their schedule tasks, which has a certain impact on user use, resulting in users being unable to use time reasonably and reducing user experience. .

Therefore, the present application provides a schedule management method. By adding a schedule management button in the information flow APP, the user can directly add new schedule tasks through the schedule management button when using the information flow application. It ensures that users can use time more effectively and improves user self-discipline.

The technical solutions in the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application.

FIG. 8 is a schematic diagram of a schedule management architecture provided by an embodiment of the present application.

As shown in FIG. 8 , the present application provides a schedule management framework, which can be applied to a terminal device. In one example, terminal devices may include, but are not limited to, mobile phones, smart TVs, smart speakers, wearable devices, tablet computers, desktop computers, personal computers (personal computers, PCs), all-in-one computers, handheld computers, notebook computers, Ultra-mobile personal computer (UMPC), netbook, personal digital assistant (personal digital assistant, PDA), laptop computer (laptop), mobile computer, augmented reality (augmented reality, AR) device, virtual reality ( Any terminal equipment or portable terminal equipment such as virtual reality (VR) equipment, artificial intelligence (AI) equipment and/or vehicle-mounted equipment.

It can be seen that the terminal device may include an application layer, a framework layer and a kernel layer. Wherein, there may be an information flow APP in the application layer, and the information flow APP may be an information flow APP, a video APP, a shopping APP, a music playing APP, and a reading APP, etc., which have characteristics of information flow. It can be understood that this application does not limit the specific information flow APP. At the same time, the information flow APP in this application has a schedule management button. As shown in FIG. 9 , taking the information flow APP as a video APP as an example, this application adds a schedule management button 901 on the page of the information flow APP. Users can directly add schedule tasks through the schedule management button when using the information flow APP. When the user clicks the schedule management button of the information flow APP in the application layer, the information flow APP calls the schedule management service in the framework layer through a dedicated application programming interface (application programming interface, API), so as to realize the user's schedule task Add, modify, delete and other operations.

In one example, as shown in FIG. 9 , a schedule management button 901 may be added behind each video. Of course, in some other examples, if the information flow APP is a music playing APP, a schedule management button 901 can be added behind each piece of music; Schedule management button 901; or, if the information flow APP is an information APP, you can add a schedule management button 901 behind each article or push; or, if the information flow APP is a reading APP, you can add a schedule management button 901 in each book A schedule management button 901 is added behind the work. Of course, it can be understood that the schedule management button 901 can be added at the corresponding position according to the field targeted by the actual information flow APP, which is not limited in this application.

In another example, the application layer of the terminal device may also have a schedule management APP. It can be understood that the schedule management APP is an independent schedule management APP, for example, it may be a calendar APP built in the system or any third-party schedule management APP. The framework layer may also include a schedule task storage service corresponding to the schedule management APP. The schedule task storage service can store one or more schedule tasks manually added by the user in the daily management APP. The schedule management service in the framework layer can also call the schedule task storage service, so that the information flow APP can obtain one or more schedule tasks stored in the schedule management APP. Certainly, in some examples, the schedule tasks stored in the schedule management APP may be obtained by prompting the user whether to authorize the information flow APP. When the user selects yes or agrees, the schedule management service is allowed to call the schedule task storage service; otherwise, the schedule management service is refused to call the schedule task storage service.

FIG. 10 is a flowchart of a schedule management method provided by an embodiment of the present application.

As shown in Figure 10, the present application provides a schedule management method, which can be applied to the terminal devices involved in the above-mentioned Figures 8 to 9, where the information flow APP is installed on the terminal equipment, and the information flow APP can be the above mentioned Apps with information flow characteristics such as information apps, video apps, shopping apps, music playback apps, and reading apps. The information flow APP has a schedule management button, and the schedule management button can enable the user to manage the schedule tasks in the process of using the information flow APP. The method may include the steps of:

S1001. Obtain an instruction to add a new schedule task according to the user clicking a schedule management button in the information flow APP of the terminal device.

When using the information flow APP of the terminal device, when the user wants to add a certain schedule task, he can directly add it by clicking the schedule management button located in the information flow APP. When the user clicks the schedule management button, the terminal device may be triggered to generate a new schedule task command, and the new schedule task command is used to add a new schedule task. It can be understood that the newly added schedule task is a schedule task newly added by the user. In other words, the scheduled tasks include newly added scheduled tasks.

S1002. Determine newly added task information according to the newly added schedule task instruction.

Afterwards, the information flow APP of the terminal device determines the newly added task information of the newly added schedule task according to the newly added schedule task instruction generated in S1001.

In an example, the added task information may include user information and detailed information. Wherein, the user information may include account information for logging into the information flow APP, for example, including various attributes such as user name, gender, age, and region. According to different usage scenarios, the detailed information may be video information, music information, article information, shopping information, and so on. In one example, if the information flow APP is an information APP, the detailed information can be article information; if the information flow APP is a video APP, the detailed information can be video information; if the information flow APP is a shopping APP, the detailed information can be Shopping information; if the information streaming APP is a music player APP, the detailed information can be music information; if the information streaming APP is a reading APP, the detailed information can be novel information or article information, etc. It can be understood that the specific content of the detailed information for different situations may be completely the same, partially or completely different. For example, video information may include information such as video title, video classification, video label, and video duration; while shopping information may include information such as product name, product price, and product classification. It can be understood that, the foregoing description is only an example, and the present application does not limit specific user information and detailed information.

S1003. Input the newly added task information into the schedule task time prediction model to determine the forecast schedule time period.

The information flow APP of the terminal device inputs the new task information determined in S1003 into the pre-trained schedule task time prediction model, so as to determine the corresponding forecast schedule time period. Wherein, the predicted schedule time period is used to indicate a time period that is more suitable for executing the newly added schedule task.

In one example, the time period may be divided according to actual conditions, for example, a day may be roughly divided into two time periods, namely daytime and night. It can also be divided into 4 time periods of morning, afternoon, evening and night in more detail. Apparently, the division of time periods can be reasonably divided based on experience, and the start time and end time of each time period can also be divided according to experience, which is not limited in this application. Of course, in one example, a more specific way of dividing time periods is provided, which is only an exemplary description. For example, 8 time periods can be divided, namely, 00:00-05:00 in the morning, and 05:00-05:00 in the morning. 06:00, 06:00-08:00 in the morning, 08:00-11:00 in the morning, 11:00-13:00 in the afternoon, 13:00-17:00 in the afternoon, 17:00-18:00 in the evening and evening 18:00～00:00 the next day.

In one example, the information flow APP of the terminal device inputs the user information and detailed information into the pre-trained schedule task time prediction model, and obtains the predicted schedule time period output by the schedule task time prediction model, for example, the above-mentioned 8 divisions Take the time period as an example, assuming the output is 13:00-17:00 pm, it means that the new schedule task is suitable for execution during the time period of 13:00-17:00 pm.

S1004. Determine the schedule execution time according to the predicted schedule time period.

The information flow APP of the terminal device further determines the execution time of the schedule according to the predicted schedule time period determined in S1003. Wherein, the schedule execution time includes a schedule start time and a schedule end time.

In an example, the information flow APP of the terminal device may directly default the predicted schedule time period as the schedule execution time. The start time of the predicted schedule time period is used as the schedule start time, and the end time of the predicted schedule time period is used as the schedule end time.

In another example, the information flow APP can also display the predicted schedule time period, the user can refer to the predicted schedule time period obtained in S1003, and select a specific schedule execution time in this time period, that is, in S1003 The specific schedule start time and schedule end time are determined in the obtained predicted schedule time period. In an example, the terminal device may receive a modification instruction from the user to modify the start time of the schedule and the end time of the schedule, so as to determine the modified execution time of the schedule. For example, the user clicks on the predicted schedule time period displayed on the terminal device, thereby modifying the specific time. Apparently, since the schedule execution time is manually input and confirmed by the user, the schedule execution time may partially overlap, completely overlap or not overlap with the predicted schedule time period obtained in S1003.

In yet another example, a schedule management APP may also be installed in the terminal device, wherein the information flow APP may also obtain some information read from the schedule management APP, such as other schedule tasks. It can be understood that other schedule tasks are schedule tasks stored in the schedule management APP. In an example, the information flow APP reads at least one other schedule task of the schedule management APP. It may be that the information flow APP is authorized to read the information of the schedule management APP. APP information". When the user selects "Yes" or other equivalent operations, the permission of the information flow APP to read the information of the schedule management APP is enabled. After the information flow APP obtains the permission to read the information of the schedule management APP, it can obtain the execution time of at least one other schedule task stored in the schedule management APP. Afterwards, in S1003, the execution time of at least one other scheduled task is combined with the predicted schedule time period obtained to determine the scheduled execution time. For example, the predicted schedule time period is 13:00-17:00 in the afternoon, other acquired schedule information is 15:00-15:30 for schedule task A, and 15:50-17:00 for schedule task B. The information flow APP can determine the appropriate schedule execution time according to the execution time of the newly added schedule task. Assuming that the execution time of the new scheduled task is 50 minutes, it is obvious that the new task cannot be completed during the idle period from 15:30 to 15:50. And the idle period between 13:00 and 15:00 obviously satisfies the execution time of the newly added schedule task. Therefore, it can be determined that the schedule execution time is 13:00-15:00. That is, the schedule start time is 13:00, and the schedule end time is 15:00. Of course, if there is no information about the execution duration of the added schedule task, the longest idle period can be used as the scheduled execution time.

Of course, further, if the newly added task information includes the execution duration of the newly added schedule task, a more accurate schedule end time can also be determined according to the execution duration of the newly added schedule task and the start time of the schedule. For example, the predicted schedule time period is from 13:00 to 17:00 in the afternoon, and the execution duration of the newly added schedule task is 50 minutes. If the start time of the schedule is determined to be 13:00, the execution duration of the newly added schedule task can be 50 minutes. , determine that the scheduled end time of the schedule is 13:50.

S1005. Determine a new scheduled task.

After the information flow APP of the terminal device determines the execution time of the schedule in S1004, it may combine the newly added task information to determine the newly added schedule task. Wherein, the newly added schedule task includes newly added task information and schedule execution time.

In one example, if the information flow APP has obtained the permission to read the information of the schedule management APP, after the new schedule task is determined, it can also be executed according to the schedule execution time of the new schedule task and the information read from the schedule management APP. The execution time of at least one other scheduled task determines whether there is an execution time conflict between the newly added scheduled task and other scheduled tasks. Obviously, if there is an intersection of different scheduled tasks in execution time, it means that these scheduled tasks conflict in execution time. At this time, the user information in the newly added task information can be input into the pre-trained execution preference prediction model, so that The schedule task execution preference of the user corresponding to the user information is determined. Afterwards, the information flow APP can adjust the execution sequence of multiple scheduled tasks that overlap in execution time according to the obtained schedule task execution preference. For example, the scheduled execution time of the confirmed new schedule task is 13:00~13:50, the acquired schedule A task is 15:00~15:30, the B schedule task is 15:50~17:00, and the C schedule task is The task is from 13:00 to 13:30. The information flow APP detects that there is a conflict between the execution time of the newly added schedule task and the C schedule task. At this time, the user information of the newly added task information in the newly added schedule task can be input into the pre-trained execution preference prediction model for prediction, and the obtained The schedule task execution preference of the user corresponding to the above user information. It can be understood that the newly added schedule tasks and other schedule tasks may include tags, which are used to classify the tasks. For example, if the information flow APP is a video APP, the tags can be used to distinguish the content to be watched by different schedule tasks. Video categories such as Thriller Movies, Anime, Reality TV, Sports, etc. If the information streaming APP is a music playing APP, the label can be such as European and American music, Mandarin music, etc.; or, rock music, rap music, pop music, etc.; or, XX star, certain star, etc. Apparently, the above description is only an example, and the specific label can be set according to the actual situation, which is not limited in this application.

Obviously, the obtained user’s schedule task execution preference can be expressed as the degree of interest in different tags, such as 80% for A tag, 10% for B tag, 5% for C tag, 3% for D tag and 2% for E tag. The task corresponds to the A label, and the C schedule task corresponds to the D label. According to the obtained user's schedule task execution preference, it may be determined that the new schedule task is executed first, and then the C schedule task is executed. Of course, in some examples, scores can also be used to indicate the degree of interest of different tags, such as a 100-point system, a 10-point system, a 5-point system, etc., and of course there is no upper limit on the scores, which is not limited in this application.

In some examples, when there are multiple schedule tasks stored in a certain time period and sorted according to the above method, if there is another new schedule task to be added and the execution time of the schedule plan is determined, multiple schedules in the same time period need to be considered at the same time The execution time of the task. For example, still taking the execution conflict between the newly added schedule task and the C schedule task at 13:00 as an example, assuming that the execution time of the newly added schedule task is 50 minutes, and the execution time of C schedule task is 30 minutes, at 13:00, it will be executed first The order in which C schedule tasks are executed after adding schedule tasks. At this time, if a new scheduled task is added again, for example, it is called new scheduled task 2 . Then, when determining the scheduled execution time of the newly added schedule task 2, assuming that it is still in the time period from 13:00 to 17:00 p.m., the execution time of the newly added schedule task is 50 minutes and the execution time of schedule task C is 30 minutes. :00～14:20 to remove. In other words, the scheduled start time of the new scheduled task 2 can only start from 14:20 at the earliest.

In some other examples, if there are multiple scheduled tasks conflicting in execution time during a certain period of time, the multiple scheduled tasks may also be displayed for easy reference by the user. Then, the sorting information input by the user is received, so as to sort the multiple scheduled tasks with execution time conflicts according to the order manually sorted by the user, so as to facilitate subsequent users to execute multiple scheduled tasks according to the sorted order.

S1006, saving the newly added schedule task.

After the information flow APP of the terminal device determines the newly added schedule task in S1005, it may save the newly added schedule task. For example, save to the information flow APP.

In some examples, if the information flow APP has obtained the permission to read the information of the schedule management APP, after the new schedule task is determined, the new schedule task can be added to the schedule management APP for storage. In this way, the process of synchronizing the newly added schedule tasks is realized.

In the schedule management method provided by this application, by adding a schedule management button in the information flow APP, the user can directly click the schedule management button to add a new schedule task when using the information flow application, so that the user can use the schedule more effectively. Time to improve user self-discipline.

FIG. 11 is a flow chart of another schedule management method provided by the embodiment of the present application.

As shown in FIG. 11 , the present application also provides a flow chart of another schedule management method. This method is mainly used to update the schedule task time prediction model and execution preference prediction model mentioned in Fig. 10 . The method may include the steps of:

S1101. After the scheduled task is executed, record the behavior information of the scheduled task.

The information flow APP of the terminal device can record the behavior information of the completed scheduled task after executing the scheduled task. Wherein, the behavior information may include the actual execution time of the scheduled task and task information of the scheduled task, and the behavior information may also include user information corresponding to the scheduled task and category information of the scheduled task.

Of course, in some examples, the behavior information of the user using the information flow APP can also be continuously recorded. Obviously, if the user does not set a schedule and task, but still uses the information flow APP, the behavior information of the user's usual use of the information flow APP can also be recorded. Of course, in some examples, the user may be prompted whether to allow access to the behavior information of using the information flow APP, and after the user clicks a button with a similar function such as "confirm" or "allow", the behavior information of using the information flow APP shall be recorded.

It can be understood that the completed schedule task may be the newly added schedule task mentioned in FIG. 10 , or may be other schedule tasks in the schedule management APP. That is to say, S1101 may be executed after S1006, or may be executed before S1006, or may be executed simultaneously with S1006.

S1102, updating the schedule time prediction model according to the behavior information of the schedule task.

The information flow APP of the terminal device can update the schedule time prediction model according to the behavior information of the schedule task recorded in S1101, so that the predicted schedule time of the newly added schedule task can be predicted more accurately through the updated schedule time prediction model. part.

In one example, if the schedule time prediction model is updated, the schedule time prediction model can be updated by using part of the behavior information, for example, the schedule time prediction model can be updated by using the real execution time of the schedule task and the task information of the schedule task. to update. For example, a supervised learning method can be used, in which the task information can carry the label of the schedule task, so that the updated schedule time prediction model can output the optimal execution time period corresponding to the schedule task of a certain type of label, that is, Forecast schedule timeslots.

S1103, updating the execution preference prediction model according to the behavior information of the scheduled tasks.

The information flow APP of the terminal device can update the execution preference prediction model according to the behavior information of the schedule task recorded in S1101, so that the user's behavior preference can be predicted more accurately through the updated execution preference prediction model.

In one example, if the execution preference prediction model is updated, the execution preference prediction model can be updated with some information in the behavior information, for example, the user information corresponding to the scheduled task and the category information of the scheduled task are used to update the execution preference prediction model. to update. For example, a supervised learning method can be used, and the updated execution preference prediction model can output the scores of the category information corresponding to different schedule tasks of a certain user information, so as to indicate the preference degree of the user information for different categories of schedule tasks.

It can be understood that there is no strict order in the execution of S1102 and S1103. S1102 can be executed first and then S1103 can be executed, or S1103 can be executed first and then S1102 can be executed. Of course, S1102 and S1103 can also be executed at the same time, which is not limited in this application.

Meanwhile, the update schedule time prediction model and the update execution preference prediction model described in FIG. 11 of the present application may be updated in real time or periodically, for example, every day, every three days, or every Monday. Meanwhile, the update frequencies of different prediction models may be the same or different, and may be set according to actual conditions, which is not limited in this application.

This application can also update the schedule time prediction model and execution preference prediction model described in Figure 10 according to a certain frequency, so as to ensure that the results of the prediction model are more accurate, help users manage schedule tasks, and use time more reasonably , improve user self-discipline.

FIG. 12 is a flow chart of another schedule management method provided by the embodiment of the present application.

As shown in Figure 12, this application also provides another schedule management method, which is suitable for users who have not used the information flow APP for a long time. At this time, the information flow APP can automatically generate recommended schedule tasks, so as to realize the personalization of users recommend. The method may also include the steps of:

S1201. Determine whether the time difference between the last execution time of the scheduled task and the current time is greater than or equal to a preset time threshold.

The information flow APP of the terminal device can also monitor in real time the time difference between the time when the last scheduled task was executed and the current time. In an example, the end time of the last scheduled task execution can be used as the start time of the time difference. For example, assuming that the current time is 14:00 on X, 23rd, and the end time of the last scheduled task execution is 23:00 on X, 21st: 00. Then it can be determined that the time difference is 39 hours. Afterwards, it is judged whether the time difference is greater than or equal to a preset time threshold. Assuming that the time threshold is 24 hours, obviously 39 hours is greater than 24 hours, then S1202 may be executed.

In one example, if the time difference between the time when the scheduled task was executed last time and the current time is smaller than the preset time threshold, the process can be ended directly.

It can be understood that the scheduled task executed last time may include other scheduled tasks and/or newly added scheduled tasks described in FIG. 10 and FIG. 11 .

S1202. Obtain user information.

When it is determined in S1201 that the time difference between the last execution time of the scheduled task and the current time is greater than or equal to a preset time threshold, current user information may be acquired. In an example, for example, it may be user information who has logged into the information flow APP.

S1203. Input the user information into the execution preference prediction model to determine the user's schedule task execution preference.

The information flow APP of the terminal device may input the user information obtained in S1202 into the execution preference prediction model, so as to obtain the schedule task execution preference of the user corresponding to the user information.

S1204. Determine a recommended schedule task according to the schedule task execution preference of the user.

Afterwards, the information flow APP of the terminal device may determine a recommended schedule task according to the user's schedule task execution preference determined in S1203. For example, if the user's schedule task preference is 90% for watching XX animation, 8% for watching X variety show, and 2% for watching XXX TV series, watch XX animation as the recommended schedule task. In one example, the recommended schedule task of watching XX animation and user information can be input into the schedule time prediction model together, and the schedule execution time corresponding to the recommended schedule task can be obtained.

S1205. Save the recommended schedule task as a newly added schedule task.

The information flow APP of the terminal device may use the recommended schedule task determined in S1204 as a newly added schedule task, and then save it in the information flow APP.

Of course, in some examples, if the information flow APP has obtained the permission to read the information of the schedule management APP, the recommended schedule task can also be added as a new schedule task and saved in the schedule management APP at the same time.

In an example, before the recommended scheduled task is saved as a newly added scheduled task, the recommended scheduled task may also be displayed. Then receive a confirmation instruction from the user. Apparently, the confirmation instruction is the user's permission to save the recommended schedule task as a newly added schedule task. Afterwards, according to the received confirmation instruction, the recommended schedule task is saved as a newly added schedule task.

It can be understood that, when saving the recommended schedule task as a newly added schedule task in S1205, the schedule execution time corresponding to the recommended schedule task is also stored.

This application can also provide the function of intelligently recommending schedule tasks, improve user experience, help users use time more effectively, and improve user self-discipline.

It can be understood that all the schedule tasks saved by the information flow APP in Fig. 8 to Fig. 13 can be uploaded to the cloud server for cloud storage, and at the same time, information such as user information can also be uploaded to the cloud server for storage. In some examples, the above-mentioned schedule prediction model and execution preference prediction model may be located in the server, and the terminal device may send the input model information to the cloud server, so that the cloud server can make predictions based on the input information. Afterwards, the model prediction results are sent to the information flow APP of the terminal device for the follow-up process.

FIG. 13 is a flow chart of another schedule management method provided by the embodiment of the present application.

As shown in FIG. 13 , the present application also provides another schedule management method, which is described by taking the information flow APP as a video APP as an example. The method runs on a terminal device installed with a video APP, and the video APP can be further divided into a video APP client and a video APP server. The terminal device may also include a system default schedule management APP. Among them, the video APP client can be understood as the front end of the video APP, that is, the part that interacts with the user, and the video APP server can be understood as the back end of the video APP, that is, the underlying implementation part. The method may include the steps of:

S1301. The user adds information such as videos and bloggers to the schedule management of the video APP.

Firstly, when using a video APP, the user can add a new schedule task through the schedule management button of the video APP, that is, add a new schedule task. For example, the user clicks the schedule management button 901 as shown in FIG. 9 . Apparently, the schedule management button 901 can be regarded as an entry for the user to add videos or bloggers to personal schedule video management. Among them, the personal schedule video management can be regarded as a database used to save schedule tasks in a video APP, for example, it can be stored in the form of a table. In some cases, bloggers can also be called uploaders (uploaders, UP masters), that is, people who upload video and audio files on video websites, forums, and file transfer protocol (file transfer protocol, ftp) sites.

S1302. Obtain video or blogger information.

After that, the server of the video APP will obtain the video information or UP main information that needs to be added. In some examples, such information can be used to populate the title of a newly added calendar task.

S1303. Predict the user's best viewing time period.

The server of the video APP obtains user information, and the user information may be information of a user who has logged into the video APP. At the same time, input the video information or UP main information and user information obtained in S1302 into the pre-trained schedule time prediction model for prediction. Afterwards, the output of the schedule time prediction model is obtained, that is, the predicted schedule time period. The predicted schedule time period may also be referred to as the best viewing time period in video APPs.

In an example, the video information may be detailed information in the newly added task information mentioned above in FIG. 8 to FIG. 12 . For example, information such as video titles, video categories, and video tags may be included. The user information is the user information in the newly added task information mentioned above in FIGS. 8 to 12 , and may include information such as gender, age, and region, for example.

For the best viewing time period, it can be the time period at which the user watches the video starting time. For example, the time period divided in Figure 14 can include 00:00-5:00 in the morning and 05:00-06 in the morning. :00, morning 06:00～08:00, morning 08:00～11:00, noon 11:00～13:00, afternoon 13:00～17:00, evening 17:00～18:00, evening 18 :00～24:00. It is understandable that since different users have different work and rest time, users can also customize personalized time divisions and time ranges for each time period.

S1304. Determine the best viewing time for the user.

The server side of the video APP can further determine the user's best viewing time according to the optimal viewing time period, that is, the schedule execution time mentioned above in Figures 8 to 12 . Wherein, the optimal viewing time includes viewing start time and viewing end time. It can be understood that the movie viewing start time and movie viewing end time respectively correspond to the schedule start time and schedule end time mentioned above in FIGS. 8 to 12 .

In an example, the server side of the video APP may use the best movie viewing time period as the user's best movie watching time. That is, the movie viewing start time is set as the start time of the best movie viewing time period, and the movie viewing end time is set as the end time of the best movie viewing time period. Of course, in another example, the video information may include the playing duration of the video, that is, the execution duration of the newly added schedule task mentioned above in FIGS. 8 to 12 . The server side of the video APP can determine a more accurate viewing end time according to the playing time of the video. That is, the viewing end time is obtained by extending the playback duration of the video after the viewing start time.

In yet another example, if the video APP has obtained the permission to read the information of the schedule management APP, the video APP can also read other schedule tasks in the schedule management APP, that is, execute S1305. Afterwards, the video APP removes the execution time corresponding to all other scheduled tasks in the best viewing time period. That is to say, it is necessary to ensure that the viewing time of the newly added video needs to avoid all other schedule tasks. Of course, it should be understood that only execution times corresponding to other scheduled tasks on the same day as the best movie viewing time period may be considered. Assuming that the best viewing time is 13:00-17:00, and the playing time of the video is 50 minutes, and other schedule tasks such as the F schedule task are 14:00-16:30, the best viewing time can be determined The free time slots in the segment are 13:00-14:00 and 16:30-17:00. At this time, considering that the playing time of the video is 50 minutes, it can be determined that 13:00-14:00 is the most suitable free time period, so it can be determined that the viewing start time is 13:00, and the viewing end time is 13:50. In another case, still taking the best movie viewing time period as 13:00-17:00, and the video playing time as 50 minutes as an example, if other schedule tasks such as G schedule tasks are 14:00-15: 30. At this point, it can be determined that the free time periods in the best movie viewing time period are 13:00-14:00 and 15:30-17:00, obviously, the two free time periods all satisfy that the playing time of the video is 50 minutes. You can choose the appropriate viewing start time according to the preset rules. The preset rule may be, for example, to select the free time period with the shortest time interval, and use the start time of the free time period as the movie viewing start time. Such rules can integrate spare time as much as possible, which is beneficial for users to use time more reasonably. Of course, in another example, the preset rule may also be to select the free time period with the longest time interval and use the start time of the free time period as the movie viewing start time. Of course, it is also possible to randomly select according to a certain probability, or give certain weights to different free time periods, and calculate according to a certain method to determine the final movie viewing start time, which is not limited in this application.

In another case, assuming that the best viewing time is still 13:00-17:00, and the playing time of the video is 50 minutes as an example, if other schedule tasks such as the H schedule task are 13:30-16 :50, obviously, the free time periods are 13:00-13:30 and 16:50-17:00, which do not meet the playback duration requirements of the video. At this time, you can choose from other movie viewing time periods, for example, select the longest free time period among other movie watching time periods, and use this free time period as the movie viewing start time.

In one example, the video APP server may directly execute S1307 after determining the user's best movie viewing time, or may display the determined best movie watching time so that the user can confirm whether the user's needs are met. That is, execute S1306.

In one example, after the video APP server determines the best movie viewing time, it can also combine information such as the title of the schedule task and the schedule reminder method to determine the final new schedule task. Obviously, the newly added schedule task includes information such as the start time of movie viewing, the end time of movie viewing, the title of the schedule task, and the reminder method.

S1305. Obtain the user's schedule task.

If the video APP has obtained the permission to read the information of the schedule management APP, the video APP of the terminal device can obtain the user's schedule tasks stored in the schedule management APP, that is, other schedule tasks mentioned in Figure 8 to Figure 12 above, so that It is used to predict the schedule start time of the newly added schedule task, that is, the movie viewing start time.

S1306, the user modifies and determines the best viewing time.

The video APP server can display the best viewing time, so that users can confirm whether their needs are met. Of course, in some examples, information such as the title of the new scheduled task and the way of reminding the schedule can also be displayed together.

In an example, for example, if the user permits, a button with a similar function such as "confirm" and "yes" may be clicked to perform subsequent steps. Or if the user is dissatisfied with the time period, he can click buttons with similar functions such as "cancel", "no" and "delete" to cancel adding the schedule task and end the process.

Of course, in another example, the user can also click on the best viewing time to modify the best viewing time. After the modification is completed, the user can click other positions on the page, or click a button with a similar function such as "Confirm" to complete the modification of the best viewing time.

It can be understood that if the title of the new schedule task and the schedule reminder method are displayed together, the user can also be allowed to modify and confirm the above information displayed, and the implementation process is related to modification and confirmation The method of the best viewing time is similar and will not be repeated here.

In an example, for example, a possible user modification interface shown in FIG. 15 for confirming the addition of a scheduled task. The interface includes a video title, a video subtitle 1501 , a viewing start time, a viewing end time, a reminder mode and a synchronization schedule button 1502 . Wherein, the reminder method may include an alarm clock reminder or a push (push) reminder, and the like, and if an alarm clock reminder is selected, it may further include a reminder time and a reminder ringtone. In some examples, the specific setting of the reminder method may be a default setting, or a setting modified by the user last time. In some examples, it may also include whether the reminder is repeated or not.

All the information shown in Figure 15 can be modified according to the actual situation of the user. Regarding the video subtitle 1501, it can be understood that if a certain type of video has multiple episodes, such as TV, animation, and variety shows. A video subtitle 1501 may then be included. For relatively independent videos such as movies and short videos, the video subtitle 1501 may not be included, for example, the video subtitle 1501 is not displayed or the video subtitle 1501 is grayed out (that is, cannot be edited or operated).

At the same time, for the sync schedule button 1502, if the video APP has obtained the permission to read the schedule management APP information, the user can click this button to enable the synchronization function, so as to save the newly added schedule tasks to the schedule management APP, that is, execute S1308. If the video APP does not have the permission to read the information of the schedule management APP, the sync schedule button 1502 can be permanently off, for example grayed out (that is, cannot be edited or operated).

S1307, add to personal video schedule.

The video APP server can add the confirmed new schedule tasks to the personal video schedule. For example, you can click "√" in the upper right corner of Figure 15 or buttons with similar functions, such as "confirm" and "yes".

It can be understood that S1307 is mainly used for saving the newly added schedule task in the video APP, for example, in the background database of the video APP.

S1308, adding to personal schedule.

If the video APP has obtained the permission to read the information of the schedule management APP, the video APP server can also save the newly added schedule tasks to the database in the schedule management APP. For example, the database in the schedule management APP can become a "personal schedule ".

S1309, whether there is a conflict in viewing the movie.

The server side of the video APP determines whether there is a conflict between the newly added schedule task and other schedule tasks.

In an example, it may be determined whether there is an intersection between the optimal movie viewing time of the newly added scheduled task and the execution time of other scheduled tasks. If there is no intersection between the optimal viewing time of the newly added scheduled task and the execution time of other scheduled tasks, S1310 is executed. If the number of other scheduled tasks intersecting with the optimal viewing time of the newly added scheduled task is greater than 0, it means that there are other scheduled tasks that conflict with the newly added scheduled task, and S1311 may be executed.

S1310. Notify the user that the video schedule is added successfully.

When it is determined in S1309 that the optimal movie viewing time of the newly added schedule task does not overlap with the execution time of other schedule tasks, the client side of the video APP may notify the user that the video schedule is added successfully, that is, the newly added schedule task is added successfully. For example, a prompt message indicating that the addition is successful may be displayed. As shown in FIG. 16 , it can be seen that 1601 is a prompt message indicating that the addition is successful.

In some examples, the video APP can also display all the scheduled tasks, such as 1602 in FIG. 16 . This area displays all schedule tasks added by users to watch videos. It can be understood that when the new schedule task is successfully added, it will also be displayed in this part. In step 1602, information such as the video to be watched and the start time of viewing can be displayed. It is convenient for users to view and manage. In some examples, the user can directly delete or modify the added schedule task in 1602 through some preset gesture operation. Wherein, all scheduled tasks for watching videos can be displayed according to the timeline.

Of course, in some other examples, all scheduled tasks for watching videos added by the user may also be displayed in the form of a list. Of course, the user can also delete or modify the added schedule tasks in this list, which is not limited in this application.

S1311. Sort the video list in the schedule according to the user's viewing type preference.

When it is determined in S1309 that the optimal viewing time of the newly added scheduled task overlaps with the execution time of other scheduled tasks, the client side of the video APP can query the user's viewing preference. The viewing preference can be the type or tag of the video, and the corresponding score or proportion. Among them, the score or proportion is used to indicate the user's preference for the type or label, and the higher the score or proportion, the more interested the user is in the type or label.

In one example, the process of querying the user's movie viewing preference may be to input the user information into the execution preference prediction model for prediction, and the output result is that the user information corresponds to the user's schedule task execution preference, as indicated by various types or tags. Corresponding scores or proportions. After that, it can be sorted from high to low according to the obtained scores or proportions, so as to determine which types or tags the user is more interested in. Afterwards, the newly added scheduled task and at least one other scheduled task may be sorted according to the type or label, so that the user executes the scheduled task sequentially according to this order.

After the video list in the schedule is sorted according to the user's viewing type preference, S1310 may be executed to notify the user that the video schedule is added successfully.

It can be understood that the video APP can also record the user's playback records at any time, so as to update the schedule time prediction model mentioned in the above S1303 and the execution preference prediction model mentioned in the above S1311. Therefore, the method can also include the following steps:

S1312. Record the playback record of the user.

Video apps can continuously record the user's playback records.

In some examples, the user can choose whether to enable the function of updating the model, and record the user's playback record after receiving an authorization instruction from the user.

In some examples, the act of recording the user's play records may also be referred to as marking the user's play records. Dot can be understood as recording a certain playback record, for example, it can include viewing start time, viewing end time, video identification (identification, ID), playback duration, playback progress, video title, video category or label, actor information, etc. wait. Of course, the play record may also include user information, such as the user's account, gender, age, region, model of the terminal device, and the like. The above playback records of the user can be saved in the background database of the video APP. In one example, the background database can be located on the terminal device, or on a cloud server.

In one example, the user's playback records stored in the background database can be classified by day.

S1313, updating the user's schedule time prediction model.

The video APP can update the user's schedule time prediction model according to the user's playback records recorded in S1312. In some examples, the user information, video ID, playback duration, video title, video category or tag, actor information, movie viewing start time and movie viewing end time, etc. in the user's playback records can be stored. Among them, the time period between the movie viewing start time and the movie viewing end time can be used as a label to carry out supervised learning on the schedule time prediction model, and update the corresponding parameters in the schedule time prediction model, so as to realize the schedule time prediction model update.

In some examples, only the user's play records of the previous day may be selected to update the user's schedule time prediction model. Of course, in some other examples, the user's play record within a certain period of time may be selected to update the user's schedule prediction model. Of course, in some examples, it is also possible to assign corresponding weights to the playback records of users in different periods. high. Afterwards, the user's schedule time prediction model is updated by using the user's play records with corresponding weights.

Obviously, for the updated schedule time prediction model, after inputting the user information and some video information into the schedule time prediction model, the best viewing time period can be predicted, that is, the predicted schedule time period.

S1314, updating the user's execution preference prediction model.

The video APP may also update the user's execution preference prediction model according to the user's playback records recorded in S1312. In some examples, user information, video category or label, actor information and other information in the user's playback record can be used to perform supervised learning on the execution preference prediction model, wherein the video category or label can be used as the data label during training, Or use the actor information as a label to update the corresponding parameters in the execution preference prediction model in supervised learning, so as to realize the update of the execution preference prediction model.

In some examples, only the user's playback records of the previous day may be selected to update the user's execution preference prediction model. Of course, in some other examples, the user's playback records within a certain period of time may be selected to update the user's execution preference prediction model. Of course, in some examples, it is also possible to assign corresponding weights to the playback records of users in different periods. high. Afterwards, the user's execution preference prediction model is updated by using the user's playing records with corresponding weights.

For the updated execution preference prediction model, after user information is input into the execution preference prediction model, the movie viewing type preference of the user corresponding to the user information can be predicted.

S1315, the user's viewing type preference.

The video APP can obtain the user's viewing type preference by inputting user information according to the updated execution preference prediction model.

It can be understood that the output of the schedule time prediction model in S1313 can be used as the input of the next S1303, that is, the updated schedule time prediction model can be used in subsequent S1303 to predict the best viewing time period. At the same time, the output of the execution preference prediction model in S1314 can be used as the input of the next S1311, that is, the updated execution preference prediction model can be used to predict the user's viewing type preference in the subsequent S1311.

Apparently, in the case where the information flow APP involved in FIG. 13 is a video APP as an example, it can effectively target various usage scenarios. in,

Scenario 1, it can be that the user is "addicted" to watching dramas and unlimited viewing of short videos, small videos, etc., causing the planned plan to be put on hold.

In this scenario, the video app can add an entry for "add to personal video schedule management" for videos that are already online or are being updated, that is, the aforementioned schedule management button. After the user clicks the schedule management button, a schedule display interface may be jumped or popped up to determine the new schedule task, as shown in FIG. 15 . By setting corresponding parameters, such as viewing time, reminder method, etc., and saving the newly added schedule task. So that when the scheduled task is about to be executed, the user can be reminded to watch it through reminders such as an alarm clock or push. In this scenario, users can improve the efficiency of time utilization and enhance user self-discipline by planning viewing schedules for different videos.

Scenario 2: There are too many video UP masters that the user cares about and the update time of different UP masters is relatively scattered, and the update time for one UP master is also relatively scattered. When the user sees the push notification of a certain UP master update, he may not be able to resist opening Watch short videos, small videos, etc., and a situation similar to scene 1 will appear.

In this scenario, you can add an entry for "follow and add to video schedule management" on the page of the UP master, or at the position where the UP master is displayed, that is, the aforementioned schedule management button. After the user clicks the schedule management button, he can follow the UP master, and jump or pop up the schedule display interface to confirm the new schedule task, as shown in Figure 15. By setting corresponding parameters, such as viewing time, reminder method, etc., and saving the newly added schedule task. So that when the scheduled task is about to be executed, the user can be reminded to watch it through reminders such as an alarm clock or push. In this scenario, the user can improve the efficiency of time utilization and enhance the user's self-discipline by planning the viewing schedule of different videos.

Of course, in some examples, an unwatched video collection can be set for each UP master, which stores the unwatched videos of the UP master, and the viewing time set can be the viewing time period, such as the above-mentioned predicted schedule time period Or the best viewing time period. Afterwards, when the following UP master updates the video, the system will not notify the first time, but add the video to the unwatched video collection of the corresponding UP master, and then use the unwatched video collection to determine the corresponding new Add a schedule task, so that when the schedule task is about to be executed, the user can be reminded to watch the unwatched video collection of the UP master through reminders such as alarm clock or push.

Scenario 3: The user exits the video while watching the video.

In this scenario, the user may quit watching the video in the middle. At this time, the video app can pop up a window to notify the user whether to add the unwatched game to the schedule management, that is, whether to add a new schedule task. . If the user selects "Agree", "Yes", "Yes" and other similar options, the video APP can generate a new schedule task at this time. Among them, the video APP can determine the unwatched time in the video, and determine the schedule execution time of the newly added schedule task.

Scenario 4, the user is watching a drama or making an appointment to watch a video.

In this scenario, if the user is watching a drama, the video APP can obtain the drama calendar of the drama. Afterwards, the best viewing time after each episode update can be determined through the schedule time prediction model. Of course, in some examples, the corresponding schedule end time can also be determined according to the schedule start time of each schedule customized by the user. Then save the generated one or more new schedule tasks.

If the user makes a reservation for a video, the video APP can obtain the online time of the video. Then the best viewing time after the video goes online can be determined through the schedule time prediction model. Of course, in some examples, the corresponding schedule end time can also be determined according to the schedule start time customized by the user. Then save the generated new schedule task.

Scenario 5, the user has not watched the video for a while.

In this scenario, the video APP can have the switch of "add personalized recommendation to the video schedule", and the user can realize the function of personalized video recommendation for the user by selecting whether to enable or disable it. For example, when the user chooses to enable this function, the video APP will identify whether the user has not watched the video within a certain period of time. According to the user's viewing preferences, suitable videos are recommended and saved as new schedule tasks. Wherein, the user's viewing preference can be determined by executing a preference prediction model.

It can be understood that, how to add a new schedule task and the process of adding a new schedule task in the above five scenarios can refer to the corresponding descriptions in Figure 8 to Figure 13, and the present application will not repeat them here. At the same time, Figure 13 and the above five scenarios are only described by taking the information streaming APP as a video APP as an example. Of course, it can also be replaced by other information streaming APPs, such as information APPs, music playing APPs, and reading APPs. Correspondingly, the added new schedule task can also be replaced with a suitable schedule task, such as adding a certain article, adding a certain music, etc., which is not limited in this application.

FIG. 17 is a schematic diagram of a schedule management device provided by an embodiment of the present application.

As shown in FIG. 17 , the present application also provides a schedule management device 1700 . The apparatus 1700 may be a terminal device, where the apparatus 1700 may include an information flow APP and a schedule management APP. Wherein, the information flow APP may include an information flow APP front end and an information flow APP back end. It can be understood that the front end of the information flow APP is the video APP client described in FIG. 13 , and the back end of the information flow APP is the video APP server described in FIG. 13 .

The front end of the information flow APP may include a user configuration module 1701 and a page display module 1702 . It can be understood that the information flow APP front-end is mainly used to realize some functions of interacting with users. For example, the user configuration module 1701 is used to obtain information input by the user, such as setting and adjusting various parameters of the newly added schedule management. The page display module 1702 is used to display specific information, such as displaying new daily management pages, displaying prompt information, and so on. The information flow APP backend may include a content management module 1703 , a storage module 1704 and a schedule management module 1705 . Among them, the content management module 1703 may be responsible for functions such as uploading of schedule tasks, codec, user personalized data processing, and schedule task recommendation. The storage module 1704 is used for storing new scheduled tasks and other possible scheduled tasks. The schedule management module 1705 can be used to display all the schedule tasks of the user, schedule management buttons, schedule edit pages, and the like. The schedule management module 1705 can also be used for editing schedule tasks, including title, schedule execution time, etc., as well as for saving user schedule tasks, reading other schedule tasks in other schedule management APPs, and saving new schedule tasks to the schedule The management APP is medium.

The schedule management APP may include other schedule management modules 1706 . It can be understood that the other schedule management module 1706 is used to store one or more other schedule tasks in the schedule management APP. The schedule management APP can be the default schedule management APP of the system, a third-party schedule management APP installed on the terminal device, etc., and can serve the schedule management module in the information flow APP.

This application mainly adds the schedule management module to the information flow APP. By adding schedule management buttons to all items in the information flow APP (including online and offline long videos and short videos, up hosts, various articles, various audios, etc.). When the user clicks the schedule management button to confirm the new schedule task, and at the same time determine the title of the schedule task, schedule execution time, priority ranking, etc. Afterwards, the newly added schedule tasks will be saved and/or synchronized to the schedule management APP. It improves the user's time utilization efficiency and enhances the user's self-discipline.

This application is an integrated schedule management module for long videos, short videos, various articles, and various audios that have already been launched in the information flow APP. At the same time, it enriches the user's use scenarios and improves the user experience. Taking the information flow APP as a video APP as an example, the following new scenarios are added:

a) Users are "addicted" to watching dramas or watching short videos infinitely, which leads to the failure of planned arrangements;

b) There are too many video up masters that the user cares about and the update time of the up masters is relatively scattered. When the user sees the push notification of the up master update, he can't help but open and scan short videos, which may lead to scenario a);

c) The user quits watching the video halfway;

d) The user is watching dramas or booking videos;

e) The user has not watched the video recently.

Obviously, the information flow APP in this application supports complete personal schedule management. At the same time, users can add online videos and up masters to the schedule management, and can set the time to watch them. This enables the user to use time efficiently and improves the user's self-discipline. It also enriches the functions of chasing dramas and booking videos, so that it can set the time to watch by itself through schedule management. Furthermore, in scenarios where the user has not watched the video recently and the user quits watching the video midway, the user's viewing experience is improved.

It can be understood that the present application can also be extended to the information flow application on the PC side and the video application on the smart TV.

At the same time, this application also provides an infringement certification method. If there are new schedule tasks added to the above-mentioned five scenarios in the information flow APP, the infringement can be determined. Wherein, the information flow APP includes but is not limited to the information flow APP on terminal devices such as mobile phones, PCs, PADs, and smart TVs.

In an example, the above-mentioned schedule management method in FIG. 8 to FIG. 17 of the present application may specifically be a software development kit (software development kit, SDK) integrated in any information flow APP. For example, when an SDK for schedule management is added to a certain information flow APP, the original information flow APP on the terminal device can be updated by releasing a new version, so that the updated information flow APP can realize the above-mentioned Figure 8 to Either of the methods in Figure 17.

As shown in FIG. 18 , the present application also provides a terminal device 1800 . The device terminal device 1800 may be the terminal device described above in FIG. 1 to FIG. 17 . The terminal device 1800 may include: a processor 1810, an external memory interface 1820, an internal memory 1821, a universal serial bus (universal serial bus, USB) interface 1830, a charging management module 1840, a power management module 1841, a battery 1842, an antenna 1, Antenna 2, mobile communication module 1850, wireless communication module 1860, display screen 1870, etc.

It can be understood that, the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the terminal device 1800 . The terminal device 1800 may include more or fewer components than shown, or combine some components, or separate some components, or arrange different components. The illustrated components can be realized in hardware, software or a combination of software and hardware.

The processor 1810 may be a processor with architectures such as advanced reduced instruction set computing machines (ARM), X86, and microprocessor without interlocked piped stages (MIPS). Processor 1810 may include one or more processing units, for example: application processor (application processor, AP), modem processor, GPU, image signal processor (image signal processor, ISP), controller, video codec device, digital signal processor (digital signal processor, DSP), baseband processor and/or neural network processor (neural-network processing unit, NPU), etc. Wherein, different processing units may be independent devices, or may be integrated in one or more processors.

The controller can generate an operation control signal according to the instruction opcode and timing signal, and complete the control of fetching and executing the instruction.

A memory may also be provided in the processor 1810 for storing instructions and data. In some embodiments, the memory in processor 1810 is a cache memory. The memory may hold instructions or data that the processor 1810 has just used or recycled. If the processor 1810 needs to use the instruction or data again, it can be directly recalled from the memory. Repeated access is avoided, and the waiting time of the processor 1810 is reduced, thus improving the efficiency of the system.

In some embodiments, processor 1810 may include one or more interfaces. The interface may include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, a pulse code modulation (pulse code modulation, PCM) interface, a universal asynchronous transmitter (universal asynchronous receiver/transmitter, UART) interface, mobile industry processor interface (mobile industry processor interface, MIPI), general-purpose input and output (general-purpose input/output, GPIO) interface, subscriber identity module (subscriber identity module, SIM) interface and / Or a universal serial bus (universal serial bus, USB) interface, etc.

It can be understood that the operating system of the terminal device of the present application is stored in the memory, and the processor 1810 implements the methods described above in FIG. 8 to FIG. 17 by calling the operating system stored in the memory.

The charging management module 1840 is used for receiving charging input from the charger. Wherein, the charger may be a wireless charger or a wired charger.

In some wired charging embodiments, the charging management module 1840 can receive charging input from a wired charger through the USB interface 1830 . In some wireless charging embodiments, the charging management module 1840 may receive wireless charging input through the wireless charging coil of the terminal device 1800 . While the charging management module 1840 is charging the battery 1842 , it can also supply power to the terminal device 1800 through the power management module 1841 .

The wireless communication function of the terminal device 1800 may be implemented by the antenna 1, the antenna 2, the mobile communication module 1850, the wireless communication module 1860, a modem processor, a baseband processor, and the like.

The mobile communication module 1850 can provide wireless communication solutions including 2G/3G/4G/5G/6G applied on the terminal device 1800 . The wireless communication module 1860 can provide wireless local area networks (wireless local area networks, WLAN), bluetooth (bluetooth, BT), global navigation satellite system (global navigation satellite system, GNSS), frequency modulation (frequency modulation, FM), near field communication (near field communication, NFC), Zigbee (zigbee) and infrared technology (infrared, IR) and other wireless communication solutions. Wherein, the WLAN may be, for example, a wireless fidelity (wireless fidelity, Wi-Fi) network.

The external memory interface 1820 may be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the terminal device 1800. The external memory card communicates with the processor 1810 through the external memory interface 1820 to realize data storage function.

The internal memory 1821 may be used to store computer-executable program codes including instructions. The internal memory 1821 may include an area for storing programs and an area for storing data. Wherein, the stored program area can store an operating system, an application program required by at least one function, and the like. The storage data area can store data created during the use of the terminal device 1800 and the like. In addition, the internal memory 1821 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash storage (universal flash storage, UFS) and the like. The processor 1810 executes various functional applications and data processing of the terminal device 1800 by executing instructions stored in the internal memory 1821 and/or instructions stored in a memory provided in the processor.

The terminal device 1800 provided in this application can implement any one of the methods described in FIG. 8 to FIG. 17 , and the specific implementation manner can refer to the corresponding descriptions in FIG. 8 to FIG. 17 , which will not be repeated here.

Those of ordinary skill in the art should further realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the hardware and software interchangeability, the composition and steps of each example have been generally described in terms of functions in the above description. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

Those of ordinary skill in the art can understand that all or part of the steps in the methods of the above embodiments can be implemented through a program to instruct the processor to complete, and the program can be stored in a computer-readable storage medium, and the storage medium is non-transitory ( English: non-transitory) media, such as random access memory, read-only memory, flash memory, hard disk, solid-state drive, magnetic tape (English: magnetic tape), floppy disk (English: floppy disk), optical disc (English: optical disc) and any combination thereof.

The above is only a preferred embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any person familiar with the technical field can easily conceive of changes or changes within the technical scope disclosed in this application Replacement should be covered within the protection scope of this application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

A schedule management method, characterized in that the method is applied to an information flow application in a terminal device, the information flow application has a schedule management button, and the information flow application includes a shopping application, a video application, a music playing application, an information class application and reading class application, the method includes:

Obtaining a new schedule task instruction, the new schedule task instruction is triggered and generated by the user through the schedule management button in the information flow application;

According to the new schedule task instruction, determine the new task information;

Inputting the newly added task information into the schedule task time prediction model to determine the forecast schedule time period;

determining the schedule execution time according to the predicted schedule time period;

A newly added schedule task is determined, wherein the newly added schedule task includes the information of the newly added task and the scheduled execution time of the schedule.
The method according to claim 1, wherein the terminal device further includes a schedule management application;

The determining the schedule execution time according to the predicted schedule time period includes:

Obtain the execution time of at least one other schedule task in the schedule management application;

The schedule execution time is determined according to the predicted schedule time period and the execution time of the at least one other schedule task.
The method according to claim 1 or 2, wherein, after determining the schedule execution time according to the forecasted schedule time period, the method further comprises:

displaying the execution time of the schedule;

Receive modification instructions issued by users;

The execution time of the schedule plan is adjusted according to the modification instruction.
The method according to any one of claims 1-3, wherein the newly added task information includes user information;

After the determination of the newly added schedule task, the method also includes:

If there is an intersection between the execution time of other scheduled tasks and the execution time of the schedule plan, input the user information into the execution preference prediction model to determine the user's schedule task execution preference;

The execution order of the other scheduled tasks and the newly added scheduled task is determined according to the scheduled task execution preference.
The method according to any one of claims 1-4, wherein the method further comprises:

After the scheduled task is executed, record the behavior information of the scheduled task, the behavior information of the scheduled task includes the actual execution time of the scheduled task and the task information of the scheduled task, wherein the scheduled task includes other schedules tasks and/or said new schedule tasks;

The schedule time prediction model is updated according to the behavior information of the schedule task.
The method of claim 4, further comprising:

After the scheduled task is executed, record the behavior information of the scheduled task, the behavior information of the scheduled task includes the user information corresponding to the scheduled task and the category information of the scheduled task, wherein the scheduled task includes the other scheduled tasks and/or the added scheduled tasks;

The execution preference prediction model is updated according to the behavior information of the scheduled tasks.
The method according to any one of claims 1-6, further comprising:

If the time difference between the time when the last scheduled task was executed and the current moment is greater than or equal to a preset time threshold, user information is obtained, wherein the scheduled task includes other scheduled tasks and/or the newly added scheduled task;

Inputting the user information into the execution preference prediction model to determine the user's schedule task execution preference;

A recommended schedule task is determined according to the schedule task execution preference of the user, and the recommended schedule task is used as the newly added schedule task.
The method according to claim 7, wherein said using the recommended schedule task as the newly added schedule task comprises:

displaying the recommended schedule tasks;

Receive confirmation instructions from users;

The recommended schedule task is used as the new schedule task according to the confirming instruction.
The method according to any one of claims 1-8, further comprising: adding the newly added schedule task to a schedule management application in the terminal device.
A schedule management terminal device, characterized in that the terminal device includes an information flow application, the information flow application has a schedule management button, and the information flow application includes a shopping application, a video application, a music player application, an information application and For reading applications, the terminal devices include:

a processor is configured to be coupled to a memory, and to read and execute instructions stored in said memory;

Executing the instruction when the processor is running, so that the processor is used to acquire a new schedule task instruction, and the new schedule task instruction is triggered and generated by the user through the schedule management button in the information flow application ; According to the newly added schedule task instruction, determine the newly added task information; input the newly added task information into the schedule task time prediction model to determine the predicted schedule time period; determine the schedule plan execution time according to the predicted schedule time period; A newly added schedule task is determined, wherein the newly added schedule task includes the information of the newly added task and the scheduled execution time of the schedule.
The terminal device according to claim 10, further comprising a schedule management application;

The processor is also used to:

Obtain the execution time of at least one other schedule task in the schedule management application;

The schedule execution time is determined according to the predicted schedule time period and the execution time of the at least one other schedule task.
The terminal device according to claim 10 or 11, wherein the processor is further configured to:

Controlling the display to display the execution time of the schedule;

Receive modification instructions issued by users;

The execution time of the schedule plan is adjusted according to the modification instruction.
The terminal device according to any one of claims 10-12, wherein the newly added task information includes user information;

The processor is also used to:

If there is an intersection between the execution time of other scheduled tasks and the execution time of the schedule plan, input the user information into the execution preference prediction model to determine the user's schedule task execution preference;

Determine the execution order of the other scheduled tasks and the newly added scheduled task according to the scheduled task execution preference.
The terminal device according to any one of claims 10-13, wherein the processor is further configured to:

After the scheduled task is executed, record the behavior information of the scheduled task, the behavior information of the scheduled task includes the actual execution time of the scheduled task and the task information of the scheduled task, wherein the scheduled task includes other schedules tasks and/or said new schedule tasks;

The schedule time prediction model is updated according to the behavior information of the schedule task.
The terminal device according to claim 13, wherein the processor is further configured to:

After the scheduled task is executed, record the behavior information of the scheduled task, the behavior information of the scheduled task includes the user information corresponding to the scheduled task and the category information of the scheduled task, wherein the scheduled task includes the other scheduled tasks and/or the added scheduled tasks;

The execution preference prediction model is updated according to the behavior information of the scheduled tasks.
The terminal device according to any one of claims 10-15, wherein the processor is further configured to:

If the time difference between the time when the last scheduled task was executed and the current moment is greater than or equal to a preset time threshold, user information is obtained, wherein the scheduled task includes other scheduled tasks and/or the newly added scheduled task;

Inputting the user information into the execution preference prediction model to determine the user's schedule task execution preference;

A recommended schedule task is determined according to the schedule task execution preference of the user, and the recommended schedule task is used as the newly added schedule task.
The terminal device according to claim 16, wherein the processor is further configured to:

controlling the display to display the recommended schedule tasks;

Receive confirmation instructions from users;

The recommended schedule task is used as the new schedule task according to the confirming instruction.
The terminal device according to any one of claims 10-17, wherein the processor is further configured to: add the newly added schedule task to a schedule management application in the terminal device.
A computer-readable storage medium, wherein instructions are stored in the computer-readable storage medium, wherein, when the instructions are run on a terminal, the terminal is made to perform the operation described in any one of claims 1-9. Methods.
A computer device containing instructions which, when run on a terminal, cause the terminal to perform the method according to any one of claims 1-9.