CN115766887A - Service scheduling method, terminal device and storage medium - Google Patents

Abstract

The present application discloses a service scheduling method, a terminal device and a storage medium. The service scheduling method is applied to a first terminal device. The first terminal device is connected to multiple second terminal devices through a distributed soft bus. The first terminal device and the An operating system including a Samgr system is installed on the second terminal equipment, and multiple services supported by the second terminal equipment are registered on the Samgr system; the method provided includes: obtaining user status information and scene information of the first terminal equipment; Information obtains the corresponding service list in the Samgr system of the first terminal device, and the service list includes the service identification, service content and corresponding second terminal device of a plurality of services; Obtain the service feature information through the service content, according to the service feature information and the user The state information acquires the user's recommended service, and performs scheduling in the corresponding second target terminal device according to the service identifier of the recommended service. It can realize the intelligent scheduling of the Samgr system.

Description

Service scheduling method, terminal device and storage medium

technical field

The present application relates to the field of operating systems, and in particular to a service scheduling method, terminal equipment and storage media.

Background technique

Samgr is the system service framework subsystem of Hongmeng, which stores the service information of all devices that can be scheduled. In the existing technology, the scheduling process needs to go through three steps: first, the service provider will support in different terminal devices The service is registered in Samgr; then after the user selects the required service, he needs to obtain the agent of the corresponding service provider from Samgr; after obtaining the agent, the service provider then uses the scheduling function to schedule on the corresponding terminal device to complete the user's Serve.

The existing scheduling method requires the user to select the corresponding service in Samgr, and because the user needs to view the services registered in Samgr for multiple terminal devices separately, the scheduling method is not flexible enough and cannot quickly select the most suitable service, which will also cause serious problems. Big waste of time cost.

Contents of the invention

A service scheduling method, terminal equipment, and storage medium disclosed in the present application solve the problem that the existing scheduling method is not flexible enough to quickly select a suitable service.

In the first aspect, the present application provides a service scheduling method, the service scheduling method is applied to a first terminal device, the first terminal device is connected to multiple second terminal devices through a distributed soft bus, and the first terminal device An operating system is installed on both the terminal device and the second terminal device, the operating system includes a Samgr system, and a plurality of services supported by the second terminal device are registered on the Samgr system; the service scheduling method provided includes:

acquiring user state information and scene information of the first terminal device;

Obtain a service list corresponding to the scene information in the Samgr system of the first terminal device according to the scene information, the service list includes service identifiers, service contents, and corresponding second terminal devices of multiple services;

Acquiring service characteristic information through the service content, obtaining a user's recommended service according to the service characteristic information and the user status information, and the second terminal device corresponding to the recommended service as a second target terminal device;

Scheduling is performed in the second target terminal device according to the service identifier of the recommended service.

In a second aspect, the present application provides a terminal device. The provided terminal device includes a processor, a memory, and a computer program stored on the memory and executable by the processor, and the memory stores a policy model , wherein when the computer program is executed by the processor, the above service scheduling method as provided in the first aspect is realized.

In a third aspect, the present application also provides a storage medium, where a computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements the above service scheduling method as provided in the first aspect.

The present application provides a service scheduling method, a terminal device and a storage medium, by obtaining the user status information and scene information of the first terminal device, and obtaining a service list in the Samgr system according to the scene information, and obtaining the service content in the service list The service feature information is to obtain the user's recommended service according to the service feature information and user state information, and perform scheduling in the corresponding second target terminal device according to the service identifier of the recommended service. Using the service scheduling method provided by this application enables users to select recommended services from services supported by multiple second terminal devices registered on the Samgr system, realizes intelligent service scheduling based on the Samgr system, and improves the convenience of scheduling At the same time, the time cost of users is greatly reduced.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present application more clearly, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application. Ordinary technicians can also obtain other drawings based on these drawings on the premise of not paying creative work.

FIG. 1 is a schematic flowchart of the steps of a service scheduling method provided in an embodiment of the present application;

FIG. 2 is a schematic diagram of a method for obtaining recommended service information provided by an embodiment of the present application;

FIG. 3 is a schematic diagram of a service authority division structure provided by an embodiment of the present application;

Fig. 4 is a schematic block diagram of a terminal device provided by an embodiment of the present application.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations/steps, nor must they be performed in the order described. For example, some operations/steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation.

It should be understood that the terms used in the specification of this application are for the purpose of describing specific embodiments only and are not intended to limit the application. As used in this specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural referents unless the context clearly dictates otherwise.

It should be understood that in order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish the same or similar items with basically the same function and effect . For example, the first recognition model and the second recognition model are only used to distinguish different callback functions, and their sequence is not limited. Those skilled in the art can understand that words such as "first" and "second" do not limit the number and execution order, and words such as "first" and "second" do not necessarily limit the difference.

It should also be understood that the term "and/or" used in the description of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations .

In order to facilitate understanding of the embodiments of the present application, some terms involved in the embodiments of the present application are briefly described below.

1. Samgr: Samgr is the service framework subsystem of the Hongmeng system. The service provider registers the service information that can be scheduled in Samgr in the corresponding device. Samgr acts as an intermediary to provide users with an interface for scheduling services. Users can Choose the service you need according to the service information, and then Samgr completes the service scheduling according to the scheduling function.

2. Distributed soft bus: Distributed soft bus is a virtual, "invisible" bus. It can connect all the system devices developed based on KaihongOS system in the same local area network, and has the characteristics of self-discovery, ad hoc network, high bandwidth and low delay. In addition to connecting hardware devices in the same network protocol, soft bus technology also supports networking of heterogeneous networks with different protocols.

In traditional scenarios, both devices that need Bluetooth transmission must have Bluetooth, and devices that need WIFI transmission must both have WIFI. However, data communication cannot be performed between Bluetooth and WIFI. Softbus proposes Bluetooth and WIFI fusion network networking technology, which solves the problem of data communication between devices with different protocols. It enables multiple devices to automatically build a logical fully connected network, and users or business developers do not need to care about networking methods and physical protocols.

The transmission rate of traditional protocols varies greatly, and it is difficult to guarantee the delay and reliability of multi-device interaction. Soft bus transmission proposes three goals: high bandwidth, low delay, and high reliability. Compared with the 7-layer model of the traditional network, Softbus proposes a 4-layer "simplified protocol", which simplifies the middle 4-layer protocol into one layer to increase the payload and increase the effective bandwidth by 20%. Data transmission between devices is based on the UDP protocol, abandoning the traditional sliding window mechanism, realizing rapid packet loss recovery, and has the intelligent network change perception function, which can adapt to flow control and congestion control.

Some implementations of the present application will be described in detail below in conjunction with the accompanying drawings. In the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

At present, service-based scheduling generally means that after a user selects a service registered by a service provider in the Samgr system, the service scheduling is implemented through the Samgr system. If users want to use the high-quality services registered on Samgr, they need to choose according to the service information, which leads to the inflexibility of the scheduling method and the inability to quickly select the most suitable service, which will also cause a lot of waste of time and cost.

In order to solve the above problems, the embodiment of the present application provides a service scheduling method, a terminal device and a storage medium, the provided service scheduling method is applied to the first terminal device, and the first terminal device and multiple second terminal devices are distributed The first terminal device and the second terminal device are all installed with an operating system, the operating system includes a Samgr system, and multiple services supported by the second terminal device are registered on the Samgr system; the method provided can realize The intelligent service scheduling improves the convenience of scheduling and greatly reduces the time cost of users.

Specifically, the operating system may be any OS system, and the specific type is not limited by this embodiment and the accompanying drawings. KaihongOS is used as an example for introduction below.

Please refer to FIG. 1 . FIG. 1 is a schematic flowchart of steps of a service scheduling method provided by an embodiment of the present application.

As shown in FIG. 1 , the service scheduling method specifically includes steps S101 to S104.

S101. Acquire user state information and scene information of the first terminal device.

Specifically, the user's status information describes the user's search service needs, personal budget, and personal characteristics, and the scene information describes the user's own environment or the service's final environment when the user searches for the desired service. Due to the variety of service types registered in the Samgr system, the target user groups and the target scenarios, the user may choose a service that does not match the user or is not suitable for the user's scenario during the process of screening services, resulting in service The effect is not ideal. Therefore, extracting the user's status information and scene information through the first terminal device can provide a basis for subsequent intelligent scheduling.

Exemplarily, the user wants to register personal information on the first terminal device first when the first terminal device schedules services in the Samgr system. When the user schedules services, the first terminal device can extract the personal information registered by the user. Provide information such as service needs, personal budget, personal characteristics, and scenarios.

In some embodiments, before the first terminal device schedules the service, the user needs to select a service scenario in the first terminal device. The scene where users choose services by themselves can allow the Samgr system to filter out the services users need more quickly.

S102. Obtain a service list corresponding to the scene information in the Samgr system of the first terminal device according to the scene information, the service list includes service identifiers, service contents, and corresponding second terminal devices of multiple services .

The service provider registered on the Samgr system through the second terminal device will pre-enter the scene information for the provided service, and in order to allow users to obtain the corresponding service faster, after obtaining the scene information, first set the Samgr system The services oriented to the same scene information are screened out, and a corresponding service list is generated, and the service list includes service identifiers, service contents, and corresponding second terminal devices of multiple services. The service ID is the corresponding ID of the service in the Samgr system. The corresponding service can be scheduled in the Samgr system through the service ID. The second terminal device is a device that is registered on the Samgr system and can provide the service according to the scheduling function.

It should be noted that the service list is a table created according to the service information after the service information is obtained from the samgr system through interprocess communication (Interprocess Communication, IPC).

In some embodiments, the Samgr system includes service scene information of the service; obtaining a service list corresponding to the scene information in the Samgr system according to the scene information, specifically includes querying the corresponding service list in the Samgr system according to the scene information The service scene information; adding the service identification, service content and corresponding second target terminal device of the service corresponding to the service scene information to the service list.

Exemplarily, by acquiring the service scene information corresponding to the service and matching the user's scene information with the service scene information in the Samgr system, the corresponding service list can be quickly generated, and the efficiency of intelligent scheduling can be improved.

S103. Acquire service feature information through the service content, and acquire a user's recommended service according to the service feature information and the user status information, and a second terminal device corresponding to the recommended service is used as a second target terminal device.

Specifically, the characteristic information of the service is obtained according to the service content contained in the list, and the service characteristic information is matched with the user's status information to generate the user's recommended service, and the second terminal device corresponding to the recommended service is used as the second target terminal equipment.

In some embodiments, obtaining the service characteristic information through the service content includes performing matching in the service content according to preset keywords; taking the keywords in the service content that successfully match the preset keywords as the service characteristic information.

The purpose of preset keywords is to extract service feature information that is consistent with user status information. For example, the user’s budget corresponding to user status information is the price of the service in the service feature information. By pre-setting the corresponding preset keywords, you can To achieve a unified standard for subsequent generation of recommendation services.

Exemplarily, in some embodiments, when the user registers at the first terminal, he enters personal information on the interface titled preset keywords, and by using preset keywords, the user obtains user status information and service feature information respectively, which can simplify subsequent The step of comparing the features of the two.

In some embodiments, obtaining the user's recommended service according to the service feature information and user status information includes calculating a similarity coefficient between the service feature information and the user status information, and using the service with the highest similarity coefficient as the recommended service. By calculating the similarity coefficient between the service characteristic information and the user status information, the user's recommended service can be quickly generated, which greatly simplifies the process of intelligent scheduling.

Exemplarily, when extracting the user's status information and service feature information, the indicators of the status information and service feature information are first unified, such as the user's budget and service price, and the amount is between (0,1) Unification, the standard of unified calculation is as follows:

表示金额的统一化值，y表示用户的预算以及服务的价格的金额，通过对相同的用户的状态信息以及服务特征信息建立一致的统一化标准，能够大幅简化生成推荐服务的步骤，并更快匹配到最合适的推荐服务。In the formula,

Indicates the unified value of the amount, and y indicates the user's budget and the amount of the service price. By establishing a consistent unified standard for the same user's status information and service feature information, the steps of generating recommended services can be greatly simplified and faster Match to the most suitable recommendation service.

Exemplarily, for the calculation of the similarity coefficient between the service feature information and the user state information, in some embodiments, it is calculated by Pearson correlation coefficient (Pearson correlation coefficient); in some embodiments, it is calculated by Spearman (spearman ) correlation coefficient; in some embodiments, calculation is by Kendall (kendall) correlation coefficient. After unifying the user's status information and service feature information, it is only necessary to calculate the correlation coefficient of the user's status information and service feature information through the corresponding features, and use the service with the highest correlation coefficient as the user's recommended service. Realization, the embodiment of the present application does not limit the calculation method of the correlation coefficient here.

In some embodiments, obtaining the user's recommended service according to the service feature information and user state information includes inputting the service feature information and user state information into the constructed preset neural network to output the recommended service.

Neural network is an algorithmic mathematical model that imitates the behavior characteristics of animal neural networks and performs distributed parallel information processing. Relying on the complexity of the system, the neural network can achieve the effect of fitting the output and the expected result by adjusting the weight parameters of the interconnection between a large number of internal neuron nodes. The input of the neural network model used to predict the recommended service information is service feature information and user status information, and the output is the predicted recommended service information.

The preset neural network compares the service feature information with the user state information, because the features of the same type of service feature information and user state information are advanced, and the service feature information is compared with the same type of features in the user state information. Yes, it is possible to obtain the most suitable recommendation service for users.

In some embodiments, as shown in FIG. 2, FIG. 2 is a schematic diagram of a method for obtaining recommended service information provided by the embodiment of the present application. After unifying the same features of service feature information and user status information according to the same standard, The recommended service information is obtained by comparing the unified value of user characteristics with the unified value of service characteristics. By comparing the unified value of user characteristics and the unified value of service characteristics, the optimal recommendation service can be quickly generated.

S104. Perform scheduling in the second target terminal device according to the service identifier of the recommended service.

Specifically, the Samgr system generates a corresponding scheduling function according to the service identifier of the recommended service and sends it to the second target terminal device, and the second target terminal device executes the scheduling function to provide the user with the recommended service.

In some embodiments, after scheduling in the second target terminal device according to the service identifier of the recommended service, the provided service scheduling method further includes sending the user's scheduling result to the Samgr system, and the Samgr system records the number of services scheduled by the user .

In order to further make the intelligent scheduling of the Samgr system closer to the user's needs, every time the second terminal device executes the scheduling function to complete the scheduling, the Samgr system will count the user's current scheduling, and record the user's scheduling of each service in the Samgr system The number of times can be used to consider whether the generated recommended service is commonly used by the user when recommending services for the user in the future.

It should be noted that, in some embodiments, the returned scheduling result of the user also includes the user's satisfaction with the current scheduling. The recommendation rate of the service provided this time, if the user is not very satisfied with this scheduling, the service will not be recommended for the user in the future. The user's satisfaction with the service is stored through the Samgr system, which can further improve the user's experience when recommending services for the user.

In some embodiments, the service list also includes the number of services scheduled by the user; obtaining the user's recommended service according to the service characteristic information and the user status information includes according to the service characteristic information, the user status information and the service The number of times to obtain the recommended service for the user.

Exemplarily, on the basis of the above-mentioned method for generating recommendations by calculating similarity coefficients through service feature information and the user's status information, by converting the user's service times into corresponding weights, it is also added to the calculation process of user recommendation services, A user-friendly recommendation service can be generated, enabling users to obtain a better experience.

In some embodiments, the service list further includes service grades, the grades at least include the first grade, the second grade and the third grade; after obtaining the user's recommended service according to the service feature information and the user status information, the The provided service scheduling method also includes: obtaining the level corresponding to the recommended service, if the level of the recommended service is the first level, scheduling in the second target terminal device according to the service identifier of the recommended service; if the level of the recommended service is the second level , output the content of the recommended service, so that the user can choose whether to schedule in the second target terminal device according to the service ID of the recommended service; Steps for scheduling in an end device.

Exemplarily, as shown in FIG. 3, FIG. 3 is a schematic diagram of a service authority division structure provided by the embodiment of the present application. The whitelist service is the first-level service, the common service is the second-level service, and the blacklist service is the third-level service. Level service, through the division of service authority in the service process, can avoid the generated recommendation service not meeting the user's personal needs.

It should be noted that, in some embodiments, the whitelist service can be a core service in the Samgr system, such as the Samgr system administrator will evaluate the service when the second terminal registers the service; in some embodiments, the whitelist service It can be a service that the user has used more than the preset number of times. For example, a service that the user has dispatched more than 50 times can be included in the user's whitelist service; in some embodiments, the user can choose the list of whitelist services by himself. Before scheduling, confirm which services can be directly scheduled after the system recommends them.

In some embodiments, the blacklist service can be a service whose number of bad reviews from past users in the Samgr system exceeds a preset number of times, such as a service receiving more than 50 bad reviews, the Samgr system will no longer recommend it; in some implementations In an example, the blacklisted service may be entered by the user himself. If the user is extremely dissatisfied with the scheduled service after a scheduling, he may be included in the blacklisted service and no longer be recommended. Both the whitelist service and the blacklist service are formulated to better improve the intelligence of the scheduling method and generate satisfactory recommendation services for users as quickly as possible.

The embodiment of the present application provides a service scheduling method, by obtaining the user state information and scene information of the first terminal device, and obtaining the service list in the Samgr system according to the scene information, and obtaining the service feature information through the service content in the service list, The user's recommended service is obtained according to the service characteristic information and the user status information, and scheduling is performed in the corresponding second target terminal device according to the service identifier of the recommended service. Using the service scheduling method provided by the embodiment of the present application enables users to select recommended services from services supported by multiple second terminal devices registered on the Samgr system, realizing intelligent service scheduling based on the Samgr system, and improving the convenience of scheduling At the same time, it greatly reduces the user's time cost.

Please refer to FIG. 4 , which is a schematic block diagram of a terminal device provided in an embodiment of the present application.

As shown in FIG. 4, the terminal device may include a processor, a memory, and a network interface. The processor, the memory and the network interface are connected through a system bus, such as an I2C (Inter-integrated Circuit) bus.

Specifically, the processor may be a micro-controller unit (Micro-controller Unit, MCU), a central processing unit (Central Processing Unit, CPU), or a digital signal processor (Digital Signal Processor, DSP), etc.

Specifically, the memory may be a Flash chip, a read-only memory (ROM, Read-Only Memory) disk, an optical disk, a U disk, or a mobile hard disk.

This network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art can understand that the structure shown in Figure 4 is only a block diagram of a partial structure related to the solution of this application, and does not constitute a limitation on the terminal equipment to which the solution of this application is applied. The specific terminal equipment can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

Wherein, the processor is used to run a computer program stored in the memory, and implement the following steps when executing the computer program:

acquiring user state information and scene information of the first terminal device;

Obtain a service list corresponding to the scene information in the Samgr system of the first terminal device according to the scene information, the service list includes service identifiers, service contents, and corresponding second terminal devices of multiple services;

Acquiring service characteristic information through the service content, obtaining a user's recommended service according to the service characteristic information and the user status information, and the second terminal device corresponding to the recommended service as a second target terminal device;

Scheduling is performed in the second target terminal device according to the service identifier of the recommended service.

In some embodiments, the Samgr system includes the service scene information of the service; the acquisition of the service list corresponding to the scene information in the Samgr system according to the scene information is specifically implemented: according to the scene The information queries the corresponding service scene information in the Samgr system; the service identification, service content and corresponding second target terminal device of the service corresponding to the service scene information are added to the service list.

In some embodiments, the acquisition of the user's recommended service according to the service characteristic information and the user state information is specifically implemented: calculating the similarity coefficient between the service characteristic information and the user state information, and calculating the similarity coefficient The highest service serves as the recommended service.

In some embodiments, the acquisition of the user's recommended service according to the service feature information and the user status information is specifically implemented as follows: input the service feature information and the user status information into the constructed preset neural network to output The Referral Service.

In some embodiments, after the scheduling is performed in the second target terminal device according to the service identifier of the recommended service, it is further implemented: sending the scheduling result of the user to the Samgr system, and the Samgr system records The times of service scheduled by the user.

In some embodiments, the service list also includes the number of services scheduled by the user; the acquisition of the user's recommended service according to the service feature information and the user status information is specifically implemented: according to the service feature information, The user's status information and the service times obtain the user's recommended service.

In some embodiments, the service list further includes the level of the service, and the level includes at least the first level, the second level and the third level; After the user’s recommended service, it is also implemented: obtain the level corresponding to the recommended service, if the level of the recommended service is the first level, schedule in the second target terminal device according to the service identifier of the recommended service ; If the level of the recommended service is the second level, output the content of the recommended service, so that the user can choose whether to schedule in the second target terminal device according to the service identifier of the recommended service; if the The level of the recommended service is the third level, and the step of scheduling in the second target terminal device according to the service identifier of the recommended service is not performed.

In some embodiments, the acquiring service feature information through the service content is specifically implemented: matching the content of the service according to preset keywords; matching the content of the service with the preset keywords Successful keywords are used as characteristic information of the service.

It should be noted that those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the computer equipment described above can refer to the corresponding process in the foregoing service scheduling method embodiment, which will not be repeated here. repeat.

Embodiments of the present application also provide a computer-readable storage medium, the computer-readable storage medium stores a computer program, the computer program includes program instructions, and the processor executes the program instructions to implement the above implementation The steps of the service scheduling method provided by the example. For example, the computer program is loaded by the processor and may perform the following steps:

acquiring user state information and scene information of the first terminal device;

Obtain a service list corresponding to the scene information in the Samgr system of the first terminal device according to the scene information, the service list includes service identifiers, service contents, and corresponding second terminal devices of multiple services;

Acquiring service characteristic information through the service content, obtaining a user's recommended service according to the service characteristic information and the user status information, and the second terminal device corresponding to the recommended service as a second target terminal device;

Scheduling is performed in the second target terminal device according to the service identifier of the recommended service.

For the specific implementation of the above operations, reference may be made to the foregoing embodiments, and details are not repeated here.

Wherein, the computer-readable storage medium may be an internal storage unit of the computer device in the foregoing embodiments, such as a hard disk or memory of the computer device. The computer-readable storage medium can also be an external storage device of the computer device, such as a plug-in hard disk equipped on the computer device, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash memory card ( Flash Card), etc.

Since the computer program stored in the computer-readable storage medium can execute any service scheduling method provided by the embodiment of the present application, it can realize any service scheduling method provided by the embodiment of the present application. For the beneficial effects, see the previous embodiments for details, and will not be repeated here.

The serial numbers of the above embodiments of the present application are for description only, and do not represent the advantages and disadvantages of the embodiments. The above is only a specific embodiment of the application, but the scope of protection of the application is not limited thereto. Any person familiar with the technical field can easily think of various equivalents within the technical scope disclosed in the application. Modifications or replacements, these modifications or replacements shall be covered within the scope of protection of this application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims (10)

1. The service scheduling method is applied to a first terminal device, the first terminal device is connected with a plurality of second terminal devices through a distributed soft bus, operating systems are installed on the first terminal device and the second terminal devices, each operating system comprises a Samgr system, and services supported by the second terminal devices are registered in the Samgr system; the method comprises the following steps:

acquiring user state information and scene information of the first terminal equipment;

acquiring a service list corresponding to the scene information in a Samgr system of the first terminal device according to the scene information, wherein the service list comprises service identifications, service contents and corresponding second terminal devices of a plurality of services;

acquiring service characteristic information through the service content, acquiring a recommended service of a user according to the service characteristic information and the user state information, wherein a second terminal device corresponding to the recommended service is used as a second target terminal device;

and scheduling in the second target terminal equipment according to the service identifier of the recommended service.

2. The service scheduling method of claim 1, wherein the saggr system includes service scene information of the service; the obtaining of the service list corresponding to the scene information in the saggr system according to the scene information includes:

inquiring corresponding service scene information in the Samgr system according to the scene information;

and adding the service identifier, the service content and the corresponding second target terminal device of the service corresponding to the service scene information to the service list.

3. The service scheduling method according to claim 1, wherein the obtaining of the recommended service of the user according to the service feature information and the user state information comprises:

and calculating a similarity coefficient of the service characteristic information and the user state information, and taking the service with the highest similarity coefficient as the recommended service.

4. The service scheduling method according to claim 1, wherein the obtaining of the recommended service of the user according to the service feature information and the user state information comprises:

and inputting the service characteristic information and the user state information into a constructed preset neural network so as to output the recommended service.

5. The service scheduling method according to claim 1, wherein after the scheduling in the second target terminal device according to the service identifier of the recommended service, the method further comprises:

and sending the scheduling result of the user to the Samgr system, wherein the Samgr system records the service times scheduled by the user.

6. The service scheduling method of claim 1, wherein the service list further includes the number of services scheduled by the user; the obtaining of the recommended service of the user according to the service feature information and the user state information includes:

and acquiring the recommended service of the user according to the service characteristic information, the state information of the user and the service times.

7. The service scheduling method of claim 1 wherein said service list further comprises classes of said service, said classes comprising at least a first class, a second class and a third class; after the obtaining of the recommended service of the user according to the service feature information and the user state information, the method further includes:

obtaining a grade corresponding to the recommended service, and scheduling in the second target terminal device according to the service identifier of the recommended service if the grade of the recommended service is a first grade;

if the grade of the recommended service is the second grade, outputting the content of the recommended service so that the user can select whether to schedule in the second target terminal equipment according to the service identifier of the recommended service;

and if the grade of the recommended service is the third grade, the step of scheduling in the second target terminal equipment according to the service identifier of the recommended service is not executed.

8. The service scheduling method according to claim 1, wherein the obtaining service feature information through the service content comprises:

matching in the content of the service according to a preset keyword;

and using the keywords successfully matched with the preset keywords in the service content as the characteristic information of the service.

9. A terminal device, characterized in that the terminal device comprises a processor, a memory, and a computer program stored on the memory and executable by the processor, the memory storing a policy model, wherein the computer program, when executed by the processor, implements the service scheduling method according to any one of claims 1 to 8.

10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, causes the processor to carry out the service scheduling method according to any one of claims 1 to 8.

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