CN114285938A

CN114285938A - Equipment recommendation method and equipment

Info

Publication number: CN114285938A
Application number: CN202011034860.9A
Authority: CN
Inventors: 杨婉艺; 刘丰恺
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2020-09-27
Filing date: 2020-09-27
Publication date: 2022-04-05
Anticipated expiration: 2040-09-27
Also published as: CN114285938B; WO2022062998A1

Abstract

The application discloses a device recommendation method and device, and relates to the field of electronic devices. The problem of inaccurate recommendation sequencing when equipment recommendation is performed is solved. The specific scheme is as follows: the first device running a first service; when determining that the first service needs to be distributed to other equipment, acquiring at least one second equipment; the first equipment displays the equipment identification of at least one second equipment according to the matching degree of each second equipment in the at least one second equipment and the first service; the higher the matching degree of the second device and the first service is, the higher the recommendation priority of the device identifier of the second device is.

Description

Equipment recommendation method and equipment

Technical Field

The present application relates to the field of electronic devices, and in particular, to a device recommendation method and device.

Background

With the development of electronic technology and mobile internet, a user can simultaneously have more terminals such as a mobile phone, a tablet computer, a Personal Computer (PC), and an intelligent home device (e.g., a television). In the context of a distributed technology, services on one terminal may be distributed to other terminals. For example, the interface displayed by the terminal 1 may be distributed to the terminal 2 for presentation and may be used by the user.

At present, after a terminal (e.g., terminal 1) receives an operation of a user distributing a service of the terminal 1 to other terminals, the terminal 1 may sort peripheral devices of the terminal according to a certain sorting rule and recommend the peripheral devices to the user. If the terminal 1 displays a recommendation list, the recommendation list includes the device identifiers of the peripheral devices of the terminal 1, which are sorted according to a certain sorting rule. The user may select a target device to which the service is to be distributed based on the sorted device identifications included in the recommendation list.

In the prior art, the sorting rule when the device recommendation is performed is usually whether other terminals are successfully connected with the device, such as the terminal 1. For example, the device identification of the terminal successfully connected to the terminal 1 is ranked in a priority position. That is, a terminal successfully connected to the terminal 1 is preferentially recommended to the user. However, the successful connection with the terminal 1 is data generated according to the historical behavior of the user, and the successfully connected terminal may not be the target device that the user wants to distribute the service at this time, which results in inaccurate recommendation order provided by the terminal.

Disclosure of Invention

The embodiment of the application provides a device recommendation method and device, and solves the problem that recommendation sequencing is inaccurate when device recommendation is performed.

In order to achieve the purpose, the technical scheme is as follows:

in a first aspect of the present application, a device recommendation method is provided, which may be applied to a first device, and the method may include: the first device running a first service; the method comprises the steps that when a first device determines that a first service needs to be distributed to other devices, at least one second device is obtained; the first equipment displays the equipment identification of at least one second equipment according to the matching degree of each second equipment in the at least one second equipment and the first service; the higher the matching degree of the second device and the first service is, the higher the recommendation priority of the device identifier of the second device is.

The first service may be a function that runs in the first device and may be distributed to other devices to continue implementing, for example, the first service may be a service such as music, a movie, a game, a mail reply, and the like. The specific example of the first device displaying the device identifier of the at least one second device may be: the first device displays a recommendation list, wherein the recommendation list comprises the device identification of at least one second device. The higher the matching degree is, the higher the recommendation priority is, which may specifically be: the device identification of the second device with higher matching degree with the first service is ranked more forward in the recommendation list, or the device identification of the second device with higher matching degree with the first service is highlighted in the recommendation list in a darker color.

By adopting the technical scheme, after the first device determines that the currently running first service needs to be distributed to other devices, the first device can determine the matching degree of the discovered device (such as the second device) and the first service, and the device recommendation is carried out according to the determined matching degree. The accuracy of the recommendation and sequencing of the equipment is improved, and the use experience of the user is improved.

In a possible implementation manner, before the first device displays the device identifier of the at least one second device according to the matching degree between each second device of the at least one second device and the first service, the method may further include: the first device determines a matching degree of each second device of the at least one second device with the first service.

In another possible implementation manner, the determining, by the first device, a matching degree between each second device of the at least one second device and the first service may include: for each of the at least one second device: the method comprises the steps that a first device obtains scores of a second device in all dimensions, and the scores of a first service in all dimensions are obtained; the first equipment determines the matching degree of the second equipment and the first service according to the scores of the second equipment in all dimensions and the scores of the first service in all dimensions; wherein, each dimension is divided according to different factors which influence the matching degree of the equipment and the service.

As an example, the factors affecting the device-to-service matching degree may include one or more of hardware configuration, service type, human factors, environmental factors, and the like. The dimensions may be divided according to these multiple factors. Such hardware configuration may include: one or more of screen size, display quality, supported interaction mode, audio/video quality, mobility/walkabout, etc. The service types may include: one or more dimensions of interaction complexity, service quantity, task duration, interaction mode, content form of service, service category, state when using service, and the like. The artifacts may include: immersion, privacy, person status, sitting posture, etc. Environmental factors may include: environmental privacy, outdoor/indoor, environmental conditions, etc. Therefore, the equipment and the service are scored according to the dimensions influencing the matching degree of the equipment and the service, so that the matching degree of the equipment and the service is determined according to the scoring result, and the accuracy of the equipment recommendation sequencing is further improved.

In another possible implementation manner, the determining, by the first device, the matching degree between the second device and the first service according to the score of the second device in each dimension and the score of the first service in each dimension may include: the first equipment generates an equipment scoring model of the second equipment according to the scoring of the second equipment in each dimension, and generates a service scoring model of the first service according to the scoring of the first service in each dimension; the method comprises the steps that first equipment obtains the coincidence degree of a device scoring model and a service scoring model; the first equipment determines the matching degree of the second equipment and the first service according to the contact degree; the higher the coincidence degree of the equipment scoring model and the service scoring model is, the higher the matching degree of the corresponding second equipment and the first service is. And respectively generating a grading model of the equipment and a grading model of the service according to the obtained grades so as to determine the matching degree of the equipment and the service according to the coincidence degree of the models.

In another possible implementation manner, the obtaining, by the first device, the score of the second device in each dimension may include: the first device receives device information from the second device, which may include a type of the second device; and the first equipment acquires the scores of the second equipment in each dimension from the stored scores of different types of equipment in each dimension according to the type of the second equipment. According to the device type, scores of the corresponding devices under different dimensions can be determined, and the scores are used for determining the matching degree of the devices and the services.

In another possible implementation manner, the obtaining, by the first device, the score of the second device in each dimension may include: the method comprises the steps that a first device receives device information from a second device, wherein the device information can comprise the type of the second device and parameters of a first dimension in dimensions; the first equipment acquires scores of other dimensions of the second equipment in the dimensions except the first dimension from the stored scores of different types of equipment in the dimensions according to the type of the second equipment; and the first equipment acquires the scores of the second equipment in the first dimension from the stored scores of the first dimension under different parameters according to the parameters of the first dimension. The score of the device in the corresponding dimension can be determined according to the specific parameters reported by the second device, and the scores of the device in other dimensions can be determined according to the device type, so that the score of the device in each dimension can be obtained, the matching degree of the device and the service can be determined, the device recommendation can be performed according to the matching degree, and the accuracy of the device recommendation sequencing can be further improved.

In another possible implementation manner, the obtaining, by the first device, scores of the first service in each dimension may include: and the first equipment acquires the scores of the first service in each dimension from the stored scores of different services in each dimension.

In another possible implementation, the content of the first service includes one or more of an interface, audio, and video.

In another possible implementation manner, when the content of the first service includes two or three of an interface, audio and a video, the device recommendation may be performed according to the matching degree of each content included in the service and each second device in the at least one second device, respectively. If the content of the first service includes first content (e.g., an interface) and second content (e.g., audio), the displaying, by the first device, the device identifier of the at least one second device according to the matching degree of each second device in the at least one second device with the first service may include: the first device displays a recommendation list 1 according to the matching degree of the first content and each second device, wherein in the recommendation list 1, the device identifications of the second devices with higher matching degree with the first content are ranked more front. And the first equipment displays a recommendation list 2 according to the matching degree of the second content and each second equipment, wherein in the recommendation list 2, the higher the matching degree of the second content is, the higher the equipment identification of the second equipment is ranked.

The first device may determine a matching degree of each of the at least one second device with the content (e.g., the first content) of the first service.

The determining, by the first device, a matching degree between each of the at least one second device and the first content may include: for each of the at least one second device: the method comprises the steps that a first device obtains scores of a second device in all dimensions, and the scores of first content in all dimensions are obtained; the first device determines the matching degree of the second device and the first content according to the scores of the second device in all dimensions and the scores of the first content in all dimensions; wherein, each dimension is divided according to different factors which influence the matching degree of the equipment and the service.

The determining, by the first device, the matching degree between the second device and the first content according to the scores of the second device in the dimensions and the scores of the first content in the dimensions may include: the first equipment generates an equipment scoring model of the second equipment according to the scoring of the second equipment in each dimension, and generates a content scoring model of the first content according to the scoring of the first content in each dimension; the method comprises the steps that first equipment obtains the coincidence degree of an equipment scoring model and a content scoring model; the first equipment determines the matching degree of the second equipment and the first content according to the contact degree; the higher the coincidence degree of the device scoring model and the content scoring model is, the higher the matching degree of the corresponding second device and the first content is.

Wherein the scores of different content in each dimension may be pre-stored in the first device.

In another possible implementation manner, when the content of the first service includes an interface, and the interface includes a plurality of elements, device recommendation may be performed according to matching degrees of each element included in the interface and each second device in the at least one second device, respectively. For example, the content of the first service includes a first interface including a first element (e.g., a manipulation class element) and a second element (e.g., a presentation class element); the displaying, by the first device, the device identifier of the at least one second device according to the matching degree between each second device in the at least one second device and the first service may include: the first equipment carries out equipment recommendation according to the matching degree of the first element and each second equipment in at least one second equipment, and the higher the matching degree of the second equipment and the first element is, the higher the recommendation priority of the second equipment is; if the first device displays a recommendation list 1 '(e.g., the first recommendation list in the embodiment of the present application), in the recommendation list 1', the device identification of the second device having the higher degree of matching with the first element is ranked further forward. The first equipment carries out equipment recommendation according to the matching degree of the second element and each second equipment in at least one second equipment, and the higher the matching degree of the second equipment and the second element is, the higher the recommendation priority of the second equipment is; if the first device displays a recommendation list 2 '(e.g., a second recommendation list in the embodiment of the present application), in the recommendation list 2', the device identifications of the second devices having higher matching degrees with the second elements are ranked further forward. Therefore, the first equipment can also determine the matching degree of the equipment and the interface elements, equipment recommendation is carried out according to the matching degree, and the accuracy of equipment recommendation sequencing can be further improved.

Wherein the first device can determine a degree of matching of each of the at least one second device to an element (e.g., the first element) in the interface.

The determining, by the first device, a matching degree between each second device of the at least one second device and the first element may include: for each of the at least one second device: the method comprises the steps that a first device obtains scores of a second device in all dimensions, and the scores of a first element in all dimensions are obtained; the first equipment determines the matching degree of the second equipment and the first element according to the scores of the second equipment in all dimensions and the scores of the first element in all dimensions; wherein, each dimension is divided according to different factors which influence the matching degree of the equipment and the elements.

The determining, by the first device, the matching degree between the second device and the first element according to the score of the second device in each dimension and the score of the first element in each dimension may include: the first equipment generates an equipment scoring model of the second equipment according to the scoring of the second equipment in each dimension, and generates an element scoring model of the first element according to the scoring of the first element in each dimension; the method comprises the steps that first equipment obtains the coincidence degree of an equipment scoring model and an element scoring model; the first equipment determines the matching degree of the second equipment and the first element according to the contact degree; the higher the coincidence degree of the equipment scoring model and the element scoring model is, the higher the matching degree of the corresponding second equipment and the first element is.

Wherein the scores of the different elements in the dimensions may be pre-stored in the first device.

In another possible implementation manner, determining that the first service needs to be distributed to other devices may include: the first equipment receives the operation of distributing the first service; the operation of distributing the first service is an operation of triggering wireless screen projection of the first equipment, or the operation of distributing the first service is a cross-equipment dragging operation; or, the first device determines that the current scene meets the service distribution condition.

In a second aspect of the present application, there is provided an apparatus for recommending a device, which may be applied to a first device, the apparatus may include: the processing unit is used for running the first service and acquiring at least one second device when determining that the first service needs to be distributed to other devices; the display unit is used for displaying the equipment identifier of at least one second equipment according to the matching degree of each second equipment in the at least one second equipment and the first service; the higher the matching degree of the second device and the first service is, the higher the recommendation priority of the device identifier of the second device is.

In a possible implementation manner, the processing unit is further configured to determine a matching degree between each second device of the at least one second device and the first service.

In another possible implementation manner, the determining, by the processing unit, a matching degree between each second device of the at least one second device and the first service may include: for each of the at least one second device: obtaining the scores of the second equipment in all dimensions, and obtaining the scores of the first service in all dimensions; determining the matching degree of the second equipment and the first service according to the scores of the second equipment in all dimensions and the scores of the first service in all dimensions; wherein, each dimension is divided according to different factors which influence the matching degree of the equipment and the service.

In another possible implementation manner, the determining, by the processing unit, the matching degree between the second device and the first service according to the score of the second device in each dimension and the score of the first service in each dimension may include: generating a device score model of the second device according to the scores of the second device in all dimensions, and generating a service score model of the first service according to the scores of the first service in all dimensions; acquiring the coincidence degree of the equipment scoring model and the service scoring model; determining the matching degree of the second equipment and the first service according to the contact degree; the higher the coincidence degree of the equipment scoring model and the service scoring model is, the higher the matching degree of the corresponding second equipment and the first service is.

In another possible implementation manner, the apparatus may further include a receiving unit, configured to receive device information from the second device, where the device information may include a type of the second device; the processing unit obtains the scores of the second device in each dimension, and may include: and according to the type of the second equipment, obtaining the scores of the second equipment in each dimension from the stored scores of the different types of equipment in each dimension.

In another possible implementation manner, the receiving unit is configured to receive device information from the second device, where the device information may include a type of the second device and a parameter of a first dimension of the dimensions; the processing unit obtains the scores of the second device in each dimension, and may include: according to the type of the second equipment, obtaining scores of other dimensions of the second equipment in the dimensions except the first dimension from the stored scores of the different types of equipment in the dimensions; and according to the parameters of the first dimension, obtaining the scores of the second equipment in the first dimension from the stored scores of the first dimension under different parameters.

In another possible implementation manner, the acquiring, by the processing unit, the score of the first service in each dimension may include: and obtaining the scores of the first service in each dimension from the stored scores of different services in each dimension.

In another possible implementation manner, when the content of the first service includes two or three of an interface, audio and a video, the device recommendation may be performed according to the matching degree of each content included in the service and each second device in the at least one second device, respectively. If the content of the first service includes first content (e.g., an interface) and second content (e.g., audio), the displaying unit displays the device identifier of the at least one second device according to the matching degree of each second device in the at least one second device with the first service, which may include: displaying a recommendation list 1 according to the matching degree of the first content and each second device, wherein in the recommendation list 1, the higher the matching degree with the first content, the higher the device identification of the second device is ranked; and displaying a recommendation list 2 according to the matching degree of the second content and each second device, wherein in the recommendation list 2, the device identifiers of the second devices with higher matching degree with the second content are ranked more forward.

The processing unit is further configured to determine a matching degree between each of the at least one second device and a content (e.g., a first content) of the first service.

The determining, by the processing unit, a matching degree between each of the at least one second device and the first content may include: for each of the at least one second device: the method comprises the steps of obtaining scores of second equipment in all dimensions, and obtaining scores of first content in all dimensions; determining the matching degree of the second equipment and the first content according to the scores of the second equipment in all dimensions and the scores of the first content in all dimensions; wherein, each dimension is divided according to different factors which influence the matching degree of the equipment and the service.

The processing unit determines a matching degree between the second device and the first content according to the scores of the second device in the dimensions and the scores of the first content in the dimensions, and may include: generating a device score model of the second device according to the scores of the second device in all dimensions, and generating a content score model of the first content according to the scores of the first content in all dimensions; acquiring the coincidence degree of the equipment scoring model and the content scoring model; determining the matching degree of the second equipment and the first content according to the contact degree; the higher the coincidence degree of the device scoring model and the content scoring model is, the higher the matching degree of the corresponding second device and the first content is.

In another possible implementation manner, when the content of the first service includes an interface, and the interface includes a plurality of elements, device recommendation may be performed according to matching degrees of each element included in the interface and each second device in the at least one second device, respectively. For example, the content of the first service includes a first interface including a first element (e.g., a manipulation class element) and a second element (e.g., a presentation class element); the displaying unit displays the device identifier of the at least one second device according to the matching degree between each second device in the at least one second device and the first service, and may include: recommending equipment according to the matching degree of the first element and each second equipment in at least one second equipment, wherein the higher the matching degree of the second equipment and the first element is, the higher the recommendation priority of the second equipment is; if the first device displays the recommendation list 1 ', the device identifiers of the second devices having higher matching degrees with the first element are ranked higher in the recommendation list 1'. Recommending equipment according to the matching degree of the second element and each second equipment in at least one second equipment, wherein the higher the matching degree of the second equipment and the second element is, the higher the recommendation priority of the second equipment is; if the first device displays the recommendation list 2 ', the device identifications of the second devices having higher matching degrees with the second elements are ranked higher in the recommendation list 2'.

The processing unit is further configured to determine a matching degree between each of the at least one second device and an element (e.g., a first element) in the interface.

The determining, by the processing unit, a matching degree between each second device of the at least one second device and the first element may include: for each of the at least one second device: obtaining the scores of the second equipment in all dimensions, and obtaining the scores of the first elements in all dimensions; determining the matching degree of the second equipment and the first element according to the scores of the second equipment in all dimensions and the scores of the first element in all dimensions; wherein, each dimension is divided according to different factors which influence the matching degree of the equipment and the elements.

The determining, by the processing unit, the matching degree between the second device and the first element according to the score of the second device in each dimension and the score of the first element in each dimension may include: generating a device score model of the second device according to the scores of the second device in all dimensions, and generating an element score model of the first element according to the scores of the first element in all dimensions; acquiring the coincidence degree of the equipment scoring model and the element scoring model; determining the matching degree of the second equipment and the first element according to the contact degree; the higher the coincidence degree of the equipment scoring model and the element scoring model is, the higher the matching degree of the corresponding second equipment and the first element is.

In another possible implementation manner, the determining, by the processing unit, that the first service needs to be distributed to other devices may include: receiving an operation of distributing a first service; the operation of distributing the first service is an operation of triggering wireless screen projection of the first equipment, or the operation of distributing the first service is a cross-equipment dragging operation; or, determining that the current scene meets the service distribution condition.

In a third aspect of the present application, there is provided an apparatus recommendation device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to cause the device recommendation apparatus to implement the method according to the first aspect or any one of its possible implementation manners.

A fourth aspect of the present application provides a computer-readable storage medium having stored thereon computer program instructions, which, when executed by an electronic device (such as the first device described above), cause the electronic device to implement a method as described in the first aspect or any of its possible implementations.

In a fifth aspect of the present application, there is provided an electronic device (such as the first device described above) comprising a display screen, one or more processors and a memory; a display screen, a processor and a memory coupled; the memory is used for storing computer program code comprising computer instructions which, when executed by the electronic device, cause the electronic device to perform the method according to the first aspect or any of its possible implementations.

A sixth aspect of the present application provides a computer program product comprising computer readable code or a non-transitory computer readable storage medium carrying computer readable code which, when run in an electronic device (such as the first device described above), causes a processor in the electronic device to perform the method of the first aspect or any of the possible implementations of the first aspect.

It is to be understood that beneficial effects that can be achieved by the device recommendation apparatus of the second aspect and any possible implementation manner thereof, the device recommendation apparatus of the third aspect, the computer-readable storage medium of the fourth aspect, the electronic device of the fifth aspect, and the computer program product of the sixth aspect provided above can be referred to as beneficial effects in the first aspect and any possible implementation manner thereof, and are not described herein again.

Drawings

Fig. 1 is a schematic structural diagram of a mobile phone according to an embodiment of the present application;

fig. 2 is a schematic flowchart of an apparatus recommendation method according to an embodiment of the present application;

fig. 3 is a schematic view of a scenario provided in an embodiment of the present application;

fig. 4 is a schematic diagram of an apparatus scoring model provided in an embodiment of the present application;

FIG. 5 is a schematic diagram of a service scoring model provided in an embodiment of the present application;

fig. 6 is a schematic diagram of a superimposed result of an equipment scoring model and a service scoring model provided in the embodiment of the present application;

FIG. 7 is a schematic diagram of a display interface provided in an embodiment of the present application;

fig. 8 is a schematic flowchart of a device recommendation method according to an embodiment of the present application;

FIG. 9 is a schematic diagram of another display interface provided by an embodiment of the present application;

FIG. 10 is a schematic diagram of yet another display interface provided by an embodiment of the present application;

fig. 11 is a schematic composition diagram of an apparatus recommendation device according to an embodiment of the present application;

fig. 12 is a schematic composition diagram of a chip system according to an embodiment of the present disclosure.

Detailed Description

Currently, in the background of the distributed technology, after a terminal (e.g., terminal 1) receives an operation of a user to distribute a service of the terminal 1 to other terminals, the terminal 1 may display a recommendation list according to whether a peripheral device of the terminal 1 is connected to the terminal. The device identifiers of the terminals successfully connected with the terminal 1 in the recommendation list are arranged at the priority positions, that is, the terminal 1 preferentially recommends the terminals successfully connected with the terminal 1 to the user. However, the successful connection with the terminal 1 is data generated according to the historical behavior of the user, and the successfully connected terminal may not be the target device that the user wants to distribute the service at this time, which results in inaccurate recommendation order provided by the terminal.

The embodiment of the application provides a device recommendation method, which can be applied to a process of recommending devices by a terminal. In the method provided by this embodiment, after the terminal determines that the service distribution condition is satisfied, for example, after receiving an operation that a user distributes the service of the terminal to another terminal, the terminal recommends the device based on the factors that affect the matching degree between the device and the service. Wherein the elements affecting the matching degree of the device and the service can comprise one or more of the following influence elements: hardware configuration of the device, type of service, human factors, and environmental factors. Therefore, the equipment recommendation is carried out according to the factors influencing the matching degree of the equipment and the service, the accuracy of equipment recommendation sequencing is improved, and the use experience of a user is improved.

It should be noted that the service in this embodiment may refer to a function that the terminal may be distributed and may be continuously implemented on other terminals. Illustratively, the content of the service may include one or more of interface (otherwise known as user interface, UI), audio (audio), video (video), and the like. The interface may be a complete interface or an element in the interface (e.g., an element in the interface or a combination of partial elements).

For example, the terminal in the embodiment of the present application may be a mobile phone, a tablet computer, a handheld computer, a PC, a cellular phone, a Personal Digital Assistant (PDA), a wearable device (e.g., a smart watch), a game machine, an Augmented Reality (AR) \ Virtual Reality (VR) device, and the like, and the specific form of the terminal is not particularly limited in this embodiment. In addition, the technical solution provided in this embodiment can be applied to the terminal (or the mobile terminal) and can also be applied to other electronic devices, such as smart home devices (e.g., a television, a smart speaker), a vehicle-mounted computer (or a car computer), a dashboard of a vehicle, a head up display (HUD, or a head up display), and the like.

Embodiments of the present application will be described in detail below with reference to the accompanying drawings.

In this embodiment, a terminal is taken as an example of a mobile phone. Please refer to fig. 1, which is a schematic structural diagram of a mobile phone according to an embodiment of the present disclosure. The method in the following embodiments may be implemented in a mobile phone having the above hardware structure.

As shown in fig. 1, the mobile phone may include a processor 110, an external memory interface 120, an internal memory 121, a Universal Serial Bus (USB) interface 130, a charging management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2, a wireless communication module 160, an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, a sensor module 180, a button 190, a motor 191, an indicator 192, a camera 193, a display screen 194, and the like. Optionally, the mobile phone may further include a mobile communication module 150, a Subscriber Identity Module (SIM) card interface 195, and the like.

The sensor module 180 may include a pressure sensor 180A, a gyroscope sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, an ambient light sensor 180L, a bone conduction sensor 180M, and the like.

It is to be understood that the structure illustrated in the present embodiment does not constitute a specific limitation to the mobile phone. In other embodiments, the handset may include more or fewer components than shown, or combine certain components, or split certain components, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

Processor 110 may include one or more processing units, such as: the processor 110 may include an Application Processor (AP), a modem processor, a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a controller, a memory, a video codec, a Digital Signal Processor (DSP), a baseband processor, and/or a neural-Network Processing Unit (NPU), etc. The different processing units may be separate devices or may be integrated into one or more processors.

The controller can be the neural center and the command center of the mobile phone. The controller can generate an operation control signal according to the instruction operation code and the timing signal to complete the control of instruction fetching and instruction execution.

A memory may also be provided in processor 110 for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. The memory may hold instructions or data that have just been used or recycled by the processor 110. If the processor 110 needs to reuse the instruction or data, it can be called directly from the memory. Avoiding repeated accesses reduces the latency of the processor 110, thereby increasing the efficiency of the system.

In some embodiments, processor 110 may include one or more interfaces. The interface may include an integrated circuit (I2C) interface, an integrated circuit built-in audio (I2S) interface, a Pulse Code Modulation (PCM) interface, a universal asynchronous receiver/transmitter (UART) interface, a Mobile Industry Processor Interface (MIPI), a general-purpose input/output (GPIO) interface, a SIM interface, and/or a USB interface, etc.

The charging management module 140 is configured to receive charging input from a charger. The charging management module 140 may also supply power to the mobile phone through the power management module 141 while charging the battery 142. The power management module 141 is used to connect the battery 142, the charging management module 140 and the processor 110. The power management module 141 may also receive input from the battery 142 to power the phone.

The wireless communication function of the mobile phone can be realized by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modem processor, the baseband processor, and the like.

The antennas 1 and 2 are used for transmitting and receiving electromagnetic wave signals. Each antenna in the handset may be used to cover a single or multiple communication bands. Different antennas can also be multiplexed to improve the utilization of the antennas. For example: the antenna 1 may be multiplexed as a diversity antenna of a wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.

When the handset includes the mobile communication module 150, the mobile communication module 150 may provide a solution including 2G/3G/4G/5G wireless communication applied on the handset. The mobile communication module 150 may include at least one filter, a switch, a power amplifier, a Low Noise Amplifier (LNA), and the like. The mobile communication module 150 may receive the electromagnetic wave from the antenna 1, filter, amplify, etc. the received electromagnetic wave, and transmit the electromagnetic wave to the modem processor for demodulation. The mobile communication module 150 may also amplify the signal modulated by the modem processor, and convert the signal into electromagnetic wave through the antenna 1 to radiate the electromagnetic wave. In some embodiments, at least some of the functional modules of the mobile communication module 150 may be disposed in the processor 110. In some embodiments, at least some of the functional modules of the mobile communication module 150 may be disposed in the same device as at least some of the modules of the processor 110.

The modem processor may include a modulator and a demodulator. The modulator is used for modulating a low-frequency baseband signal to be transmitted into a medium-high frequency signal. The demodulator is used for demodulating the received electromagnetic wave signal into a low-frequency baseband signal. The demodulator then passes the demodulated low frequency baseband signal to a baseband processor for processing. The low frequency baseband signal is processed by the baseband processor and then transferred to the application processor. The application processor outputs a sound signal through an audio device (not limited to the speaker 170A, the receiver 170B, etc.) or displays an image or video through the display screen 194. In some embodiments, the modem processor may be a stand-alone device. In other embodiments, the modem processor may be provided in the same device as the mobile communication module 150 or other functional modules, independent of the processor 110.

The wireless communication module 160 may provide a solution for wireless communication applied to a mobile phone, including Wireless Local Area Networks (WLANs) (e.g., Wi-Fi networks), Bluetooth (BT), Global Navigation Satellite System (GNSS), Frequency Modulation (FM), NFC, Infrared (IR), and the like. The wireless communication module 160 may be one or more devices integrating at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2, performs frequency modulation and filtering processing on electromagnetic wave signals, and transmits the processed signals to the processor 110. The wireless communication module 160 may also receive a signal to be transmitted from the processor 110, perform frequency modulation and amplification on the signal, and convert the signal into electromagnetic waves through the antenna 2 to radiate the electromagnetic waves.

In some embodiments, the handset antenna 1 is coupled to the mobile communication module 150 and the handset antenna 2 is coupled to the wireless communication module 160 so that the handset can communicate with the network and other devices via wireless communication techniques. The wireless communication technology may include global system for mobile communications (GSM), General Packet Radio Service (GPRS), code division multiple access (code division multiple access, CDMA), Wideband Code Division Multiple Access (WCDMA), time-division code division multiple access (time-division code division multiple access, TD-SCDMA), Long Term Evolution (LTE), LTE, BT, GNSS, WLAN, NFC, FM, and/or IR technologies, etc. The GNSS may include a Global Positioning System (GPS), a global navigation satellite system (GLONASS), a beidou navigation satellite system (BDS), a quasi-zenith satellite system (QZSS), and/or a Satellite Based Augmentation System (SBAS).

The mobile phone realizes the display function through the GPU, the display screen 194, the application processor and the like. The GPU is a microprocessor for image processing, and is connected to the display screen 194 and an application processor. The processor 110 may include one or more GPUs that execute program instructions to generate or alter display information.

The display screen 194 is used to display images, video, and the like. The display screen 194 includes a display panel. The display panel may adopt a Liquid Crystal Display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode (active-matrix organic light-emitting diode, AMOLED), a flexible light-emitting diode (FLED), a miniature, a Micro-oeld, a quantum dot light-emitting diode (QLED), and the like. In some embodiments, the cell phone may include 1 or N display screens 194, with N being a positive integer greater than 1.

The mobile phone can realize shooting function through the ISP, the camera 193, the video codec, the GPU, the display screen 194, the application processor and the like. In some embodiments, the handset may include 1 or N cameras 193, N being a positive integer greater than 1.

The external memory interface 120 may be used to connect an external memory card, such as a Micro SD card, to extend the storage capability of the mobile phone. The external memory card communicates with the processor 110 through the external memory interface 120 to implement a data storage function. For example, files such as music, video, etc. are saved in an external memory card.

The internal memory 121 may be used to store computer-executable program code, which includes instructions. The processor 110 executes various functional applications of the cellular phone and data processing by executing instructions stored in the internal memory 121. The internal memory 121 may include a program storage area and a data storage area. The storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required by at least one function, and the like. The data storage area can store data (such as audio data, a phone book and the like) created in the use process of the mobile phone. In addition, the internal memory 121 may include a high-speed random access memory, and may further include a nonvolatile memory, such as at least one magnetic disk storage device, a flash memory device, a universal flash memory (UFS), and the like.

The mobile phone can implement audio functions through the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the earphone interface 170D, and the application processor. Such as music playing, recording, etc.

The pressure sensor 180A is used for sensing a pressure signal, and converting the pressure signal into an electrical signal. In some embodiments, the pressure sensor 180A may be disposed on the display screen 194. The pressure sensor 180A can be of a wide variety, such as a resistive pressure sensor, an inductive pressure sensor, a capacitive pressure sensor, and the like. When a touch operation is applied to the display screen 194, the mobile phone detects the intensity of the touch operation according to the pressure sensor 180A. The mobile phone can also calculate the touched position according to the detection signal of the pressure sensor 180A.

The gyro sensor 180B may be used to determine the motion attitude of the handset. The air pressure sensor 180C is used to measure air pressure. The magnetic sensor 180D includes a hall sensor. The mobile phone can detect the opening and closing of the flip leather sheath by using the magnetic sensor 180D. The acceleration sensor 180E can detect the magnitude of acceleration of the cellular phone in various directions (typically three axes). A distance sensor 180F for measuring a distance. The mobile phone can detect that the mobile phone is held by a user and close to the ear for conversation by using the proximity light sensor 180G so as to automatically extinguish the screen and achieve the purpose of saving electricity. The proximity light sensor 180G may also be used in a holster mode, a pocket mode automatically unlocks and locks the screen. The ambient light sensor 180L is used to sense the ambient light level. The fingerprint sensor 180H is used to collect a fingerprint. The mobile phone can utilize the collected fingerprint characteristics to realize fingerprint unlocking, access to an application lock, fingerprint photographing, fingerprint incoming call answering and the like. The temperature sensor 180J is used to detect temperature.

The touch sensor 180K is also referred to as a "touch panel". The touch sensor 180K may be disposed on the display screen 194, and the touch sensor 180K and the display screen 194 form a touch screen, which is also called a "touch screen". The touch sensor 180K is used to detect a touch operation applied thereto or nearby. The touch sensor can communicate the detected touch operation to the application processor to determine the touch event type. Visual output associated with the touch operation may be provided through the display screen 194. In other embodiments, the touch sensor 180K may be disposed on the surface of the mobile phone at a different position than the display screen 194.

The bone conduction sensor 180M may acquire a vibration signal. The keys 190 include a power-on key, a volume key, and the like. The keys 190 may be mechanical keys. Or may be touch keys. The motor 191 may generate a vibration cue. The motor 191 may be used for incoming call vibration cues, as well as for touch vibration feedback. Indicator 192 may be an indicator light that may be used to indicate a state of charge, a change in charge, or a message, missed call, notification, etc.

When the handset includes the SIM card interface 195, the SIM card interface 195 is used to connect a SIM card. The SIM card can be attached to and detached from the mobile phone by being inserted into the SIM card interface 195 or being pulled out from the SIM card interface 195. The mobile phone can support 1 or N SIM card interfaces, and N is a positive integer greater than 1. The mobile phone realizes functions of communication, data communication and the like through interaction of the SIM card and a network. In some embodiments, the handset employs eSIM, namely: an embedded SIM card. The eSIM card can be embedded in the mobile phone and cannot be separated from the mobile phone.

The method in the following embodiments may be implemented in a mobile phone having the above hardware structure.

The following describes in detail a device recommendation method provided in an embodiment of the present application with reference to the accompanying drawings and scenarios. Fig. 2 is a flowchart illustrating an apparatus recommendation method according to an embodiment of the present application. As shown in fig. 2, the method may include:

s201, when the service distribution event is determined to be generated, the first terminal acquires one or more devices to be recommended.

During the process of using the terminal by the user, there may be various scenarios that need to distribute the service of the current terminal to other terminals. As an example, the service may refer to a function that the terminal can distribute and can continue to be implemented on other terminals. The content of the service may include one or more of interface (UI), audio (audio), video (video), etc. content. The interface can be a complete interface or an element in the interface. That is, the service may be an interface displayed by the terminal, or music, a movie, a short video, etc., played by the terminal.

The service distribution event is used for triggering the first terminal to recommend the equipment to which the service currently operated by the first terminal can be distributed to the user. The first terminal may be the first device in the embodiment of the present application.

In some embodiments, the service distribution event may be automatically triggered by the first terminal. For example, in a case where the first terminal runs a certain service, the first terminal may determine whether the current scenario satisfies a service distribution condition. Upon determining that the current scenario satisfies the service condition, a service distribution event may be generated.

For example, in connection with the scene diagram shown in fig. 3. Take the first terminal as a handset 301 for example. The user's home is equipped with the household equipment such as TV 302, smart speaker 303. When a user uses the mobile phone 301 to play video or audio, or browse an interface, the mobile phone 301 may determine that a current scene satisfies a service distribution condition when it is detected that the current location of the user is at home of the user, and the mobile phone 301 may generate a service distribution event. As an example, the mobile phone 301 may communicate with the network through GPS by using an antenna and a mobile communication module of the mobile phone 301 to obtain the current location of the mobile phone 301, and the current location of the mobile phone 301 may be regarded as the current location of the user. The current location of the user may also be obtained in other manners, and the embodiment is not limited in this respect.

For another example, the first terminal is a mobile phone. The vehicle of the user is provided with a car machine, a HUD, and the like. When a user uses the mobile phone for navigation, the mobile phone can determine that the current user is driving a vehicle when detecting that the current movement speed of the user is greater than a preset threshold value, namely that the current scene meets the service distribution condition, and the mobile phone can generate a service distribution event. As an example, the mobile phone may detect an acceleration of the mobile phone by using an acceleration sensor of the mobile phone, and according to the detected acceleration, the mobile phone may determine a current movement speed of the mobile phone, where the current movement speed of the mobile phone may be regarded as the current movement speed of the user. The current movement speed of the user may also be obtained in other manners, and the embodiment is not limited in this respect.

In other embodiments, the service distribution event may also be user-triggered. For example, in a case where the first terminal runs a certain service, the first terminal may generate a service distribution event upon receiving a user operation for triggering service distribution by a user.

For example, the user operation may be a drag operation across devices. Take the first terminal as a mobile phone for example. When a user uses the mobile phone to play video or audio or browse an interface, the mobile phone receives a cross-device dragging operation input by the user, and the mobile phone can generate a service distribution event. As an example, the cross-device drag operation may be a pressing operation and a moving operation of an object (such as a video or audio played as described above, or a browsing interface) displayed by the mobile phone by the user. Specifically, the object may be an application window, a free (free) widget, a dynamic widget, a video component, a floating window, a picture-in-picture, a widget, a UI control, and other UI elements.

For another example, the user operation may be a user operation that triggers the wireless screen projection of the first terminal. Take the first terminal as a mobile phone for example. When a user plays video or audio or browses an interface by using the mobile phone, and the mobile phone receives user operation which is input by the user and used for triggering wireless screen projection, the mobile phone can generate a service distribution event. As an example, in a wireless screen projection scene, the user operation for triggering the wireless screen projection may be an operation of opening a screen projection service function of the mobile phone by the user, or may be a selection operation of the user on a confirmation button in a connection confirmation interface during a process of establishing a connection between the mobile phone and another terminal after the screen projection service function of the mobile phone is opened.

Under the condition that the first terminal currently runs a certain service (such as displaying an interface, or playing video and audio), after the service distribution event is determined to be generated, the first terminal can acquire one or more devices to be recommended.

In this embodiment, the device to be recommended may be a device discovered by the first terminal. The device to be recommended may be the second device in the embodiment of the present application. For example, the device to be recommended may include: a device connected to the first terminal and/or a device not connected to the first terminal but within connectable range of the first terminal. The mobile phone can acquire the device which is not connected with the first terminal but is within the connectable range of the first terminal by adopting a positioning technology. The positioning technology can be bluetooth, Ultra-wideband (UWB), ultrasonic and other positioning technologies.

It should be noted that, in the above S201, the example is described as an example that after the service distribution event is determined to be generated, one or more devices to be recommended are acquired. In other embodiments, the execution of the first terminal for acquiring the device to be recommended and determining the service distribution event generation may not be limited in sequence. For example, the first terminal may also obtain the device to be recommended first, and then perform the following S202 after determining that the service distribution event is generated.

S202, the first terminal determines the matching degree of each device to be recommended and the service to be distributed.

The service to be distributed may refer to a service to be distributed to other terminals to be continuously implemented. For example, in the case that the first terminal currently runs a service (e.g., the running service is music), the service to be distributed is the service currently running by the first terminal. For another example, when the first terminal currently runs a plurality of services (for example, a service of running music and a service of replying to a mail), the first terminal may select one service from the plurality of currently running services as a service to be distributed, and match the service with the device to be recommended. The first terminal may also use all the services as services to be distributed, and match the services with the devices to be recommended respectively. The service to be distributed may be the first service in the embodiment of the present application.

The implementation of the first terminal selecting one service from the plurality of currently running services as the service to be distributed may be: the first terminal may select one service from the multiple running services as the service to be distributed, or the first terminal may select the service to be distributed from the multiple services according to the current specific scene and/or the obtained device to be recommended. For example, currently, a service of music and a service of mail reply are operated, considering that a music user usually wants to be implemented on a sound box and a mail reply user usually wants to be implemented on a computer, therefore, the first terminal may determine the service of music as a service to be distributed when determining that the acquired device to be recommended includes the sound box, and may determine the service of mail reply as the service to be distributed when determining that the acquired device to be recommended includes the computer. If the device to be recommended comprises a sound box and a computer, the first terminal can determine that the music and the mail reply services are both to be distributed. For another example, the service of music and the service of mail reply are currently running, and considering that the user usually wants to implement the music service on the vehicle while driving the vehicle, after the service distribution event is generated, if the first terminal determines that the current movement speed of the user is greater than the preset threshold value, that is, it is determined that the current user is driving the vehicle, the first terminal may determine the service of music as the service to be distributed.

After the first terminal acquires one or more devices to be recommended and determines services to be distributed, the first terminal can determine the matching degree of the acquired devices to be recommended and the services to be distributed.

In some embodiments, the specific implementation of determining, by the first terminal, the matching degree between each device to be recommended and the service to be distributed may be: and the first terminal scores all the equipment to be recommended and the services to be distributed according to the factors influencing the matching degree of the equipment and the services to obtain a scoring result. And then, according to the grading result of each device to be recommended and the grading result of the service to be distributed, the first terminal can determine the matching degree of each device to be recommended and the service to be distributed.

As an example, the scoring result of the device to be recommended and the scoring result of the service to be distributed may be given in the form of a scoring model. For example, for convenience of description, in this embodiment, a scoring result of a device to be recommended, which is given in the form of a scoring model, is referred to as a device scoring model, and a scoring result of a service to be distributed, which is given in the form of a scoring model, is referred to as a service scoring model. The first terminal can determine the matching degree of the equipment to be recommended and the service to be distributed according to the coincidence degree of the equipment scoring model and the service scoring model. For example, the higher the coincidence degree of the device scoring model and the service scoring model is, the higher the matching degree of the corresponding device to be recommended and the service to be distributed is.

Wherein the elements affecting the matching degree of the device and the service can comprise one or more of the following influence elements: hardware configuration of the device, type of service, human factors, and environmental factors.

As an example, as shown in table 1, the above-mentioned respective influencing elements may include one or more of the following dimensions.

TABLE 1

As shown in table 1, the service types may include: one or more dimensions of interaction complexity, service quantity, task duration, interaction mode, content form of service, service category, state when using service, and the like. Environmental factors may include: environmental privacy, outdoor/indoor, environmental conditions, etc. The artifacts may include: immersion, privacy, person status, sitting posture, etc. The hardware configuration of the device may include: one or more of screen size, display quality, supported interaction mode, audio/video quality, mobility/walkabout, etc.

Wherein, in the service type, the interaction complexity can be considered from two influencing factors. One of the influencing factors may be: the operation steps required from the beginning to the end in order to use a service (or to complete a task corresponding to a service). Another influencing factor may be whether the operation required to complete the task corresponding to one service needs to be performed by means of an external device (e.g., a keyboard, a mouse, a stylus, etc.), and whether multiple operations need to be switched. The number of services may refer to the number of other services that can be simultaneously used by the user while running one service, or the number of services that support simultaneous running. The task duration may refer to a duration of a task corresponding to a service, or a time taken to process a task corresponding to a service. The interactive mode can be touch control, voice, remote controller control, keyboard, mouse, stylus pen, handle and other available input modes for completing the corresponding tasks of the service. The content format of a service may refer to which one or more of the interface, audio, video, etc. content is/are specifically included in the content of a service. The service category may refer to a category corresponding to a service, such as an audio service, a video service, an interface presentation service, and the like. The state while using the service may refer to a state while the user uses the service, such as at home (relaxing), driving (keeping a high concentration of mental needs), outdoor sports, and the like.

In an environmental factor, environmental privacy may refer to a requirement for privacy of a user in using a device or service. Such as whether it is acceptable to share the content of the service with strangers/acquaintances/family, etc., for measuring whether there are other people in the environment where the device or service is used, or whether there is a possibility that privacy may be violated by other people in the course of using the device or service, is an objective factor. Outdoor/indoor may refer to whether the user is currently located outdoors or indoors. The environmental condition may refer to the season, temperature, weather condition, etc. of the location where the user is currently located.

Among the human factors, the immersion degree may refer to whether a user can be disturbed by external factors (including devices and human factors) during a task corresponding to a service. Privacy may refer to whether a user can accept sharing services with strangers/acquaintances/family, etc., belonging to the user's subjective choice. The state of the person may refer to a state when using the service, such as whether the user's hands are occupied, whether the user is sitting or standing or walking, and the like. The sitting posture may refer to whether the sitting posture is random or upright when the user is sitting at the current state.

In a hardware configuration of a device, the screen size may refer to the size of the device display screen. Display quality may refer to resolution, brightness, contrast, etc. of a display screen of a device. The supported interactive mode may refer to an input mode supported by the device, such as a touch screen input, a mouse input, a keyboard input, and the like. The audio-video quality may include audio quality, and/or video quality. Audio quality may refer to the ability of the device to play audio, and the score for this dimension may be given in combination with the number of device speakers. The audio quality measurement parameters may include sampling frequency, sound effect, loudness, and the like. Sampling frequency: generally, the frequency of the light source is divided into three grades of 22.05KHz (kilohertz), 44.1KHz and 48 KHz. 22.05KHz can only reach the sound quality of FM broadcast, 44.1KHz is the theoretical CD sound quality limit, and 48KHz reaches the DVD sound quality. Sound effect: such as whether dolby quality panoramas are supported. Loudness: for example, in audio or video production, the target loudness should be-23 LUFS (deviation range + -1 LU), and the true peak should not exceed-1 dB, which is commonly referred to as-23 LUFS/-1dB TP for simplicity. For example, a device without a speaker would have a dimension corresponding to a score of 0, a device with a single speaker and audio quality would typically have a dimension corresponding to a score of 1, and so on. For example, the score of the watch in the dimension is 0, the score of the mobile phone in the dimension may be 2, and the score of the car machine in the dimension may be 5. Video quality may refer to the ability of a device to play video, and may be given a score in conjunction with the screen resolution, color depth, color gamut, video codec capabilities, etc. of the device. Wherein, the screen resolution is: 2K screens, 4K high definition screens and 4KHDR screens are common. Color depth: such as 8 bits, or 10 bits. Color gamut: there is a wide color gamut, and the current international standard is to reach 92% of NTSC color gamut, which is called wide color gamut (high color gamut). For example, the watch may have a score of 0 in this dimension, the cell phone may have a score of 4 in this dimension, and the tv may have a score of 6 in this dimension. Mobility/portability may refer to whether the device is removable or portable.

Taking the service type including three dimensions of interaction complexity, service quantity and task duration, the environmental factor including one dimension of environmental privacy, the artificial privacy including one dimension of immersion degree, and the hardware configuration of the device including one dimension of screen size as an example. This embodiment exemplarily presents a comparison table of scores of each dimension, as shown in table 2.

TABLE 2

Among them, in table 2, it can be seen that, for the interaction complexity, if a simple interaction is required from the beginning to the end of using a service (or completing a task corresponding to a service), such as 1 operation can be completed, a score of 1-2 can be given. If a simple interaction is required from start to finish using a service (or completing a task corresponding to a service), e.g. 1-2 steps can be done, a score of 2-3 points can be given. If a service (or a task corresponding to the service) is used from the beginning to the end, more complex interaction is needed to complete the service, such as text input, form filling, etc., a score of 3-4 points can be given. If a more complex switch is required from start to finish using a service (or completing a task corresponding to a service), and precise operation is required for completion, a score of 4-5 points can be given. If one service (or completing a task corresponding to the service) needs to be completed by peripheral equipment such as a keyboard, a mouse, a stylus and the like from the beginning to the end and complex interaction of various operation switching is needed, a score of 5-6 points can be given. It can be seen that the higher the interaction complexity, the higher the corresponding score.

For the number of services, if only a single service can be run at a time, or if a user is not allowed to use other services when running one service, a score of 1-2 is given. If 1-2 services can be supported to run simultaneously at one time, a score of 2-3 points can be given. If 2-3 services can be supported to run simultaneously at one time, or if the number of other services allowed to be used by the user when running one service is 1-2, a score of 3-4 points can be given. If 3-4 services can be supported to run simultaneously at one time, or if the number of other services allowed to be used by the user when running one service is 2-3, a score of 4-5 points can be given. If a number of services of 4 and more can be run simultaneously at a time, or if a number of services of 3 and more are allowed to be used by the user while running one service, a score of 5-6 points can be given. It can be seen that the larger the number of services, the higher the corresponding score.

For the duration of the task, if the task corresponding to one service can be processed and completed in a short time, such as checking a short message, rejecting an incoming call, and the like, a score of 1-2 is given. A score of 2-3 points may be given if a task for a service can be completed in less than five minutes, such as enjoying a song, browsing a news story, etc. If a service can be completed for about 5-10 minutes, such as filling a questionnaire, a score of 3-4 points can be given. If a service can handle completion for about 10-20 minutes of a task, such as post-processing of a photograph, a score of 4-5 points can be given. If a task corresponding to a service can process the completed task for more than 30 minutes, such as document editing, report processing, movie watching, etc., a score of 5-6 points can be given. It can be seen that the longer the task time, the higher the corresponding score.

For privacy of the environment, a score of 1-2 is given if the user has no requirement for privacy during use of the device or service. If the user allows sharing of content with strangers during use of the device or service, a score of 2-3 points may be given. If the user allows sharing of content with a known person during use of the device or service, a score of 3-4 may be given. If the user allows sharing of content with family and friends during use of the device or service, a score of 4-5 may be given. A score of 5-6 may be given if the user is only allowed to view the content by himself during use of the device or service. It can be seen that the higher the privacy of the environment, the higher the corresponding score.

For the degree of immersion, if the user is performing a short task process that is not required for immersion, a score of 1-2 is given. If the user allows multiple tasks (e.g., 2 or more than 2 tasks) to be processed simultaneously, a score of 2-3 may be given. If the user allows 1 or 2 tasks to be processed simultaneously, a score of 3-4 may be given. If the user can handle 1 task, need to concentrate, can be interrupted, a score of 4-5 points can be given. If the user needs to be very attentive and is not acceptably interrupted, a score of 5-6 points may be given. It can be seen that the higher the degree of immersion, the higher the corresponding score.

For screen size, if the size of the device screen is 1-3 inches, a score of 1-2 points is given. If the size of the screen of the device is 3-7 inches, a score of 2-3 points may be given. If the size of the screen of the device is 7-9 inches, a score of 3-4 points may be given. If the size of the screen of the device is 9-16 inches, a score of 4-5 points may be given. If the size of the screen of the device is 17 inches and above, a score of 5-6 points may be given. It can be seen that the larger the screen size, the higher the corresponding score.

Continuing with the example that the service type includes three dimensions of interaction complexity, service number and task duration, the environmental factors include one dimension of environmental privacy, the artificial privacy includes one dimension of immersion degree, and the hardware configuration of the device includes one dimension of screen size. Based on the comparison table of scores of the dimensions shown in table 2, scores of different types of devices in the dimensions included in the influence elements can be obtained.

Take a mobile phone as an example. Based on the comparison table of the scoring criteria of each dimension shown in table 2, the parameters and the scores of the mobile phone in each dimension included in each influence element are shown in table 3.

TABLE 3

Based on table 3, it can be understood that, for the mobile phone, it can support both the task that can be completed by simple interaction, 1 step, or 1-2 steps of operation, and more complex interaction, so that the mobile phone can give a score of 1-4 points when the service type is the dimension of interaction complexity. Similarly, a mobile phone can only run a single service at a time in a normal case, but a mobile phone supporting the split screen function can simultaneously run 2 services at a time, so that the mobile phone can give a score of 1-3 points when the service type is the dimension of the service number. The mobile phone has no limit on the duration of processing the task, namely, the completed task can be processed in a short time, the completed task can be processed in a longer time, and the mobile phone supports the tasks, so that the mobile phone can give a score of 1-6 points under the condition that the service type is the dimension of the task duration. The mobile phone has no limit on the environmental privacy and the immersion degree, so the environmental factor is the environmental privacy, and the score of the human factor, which is the immersion degree, is 1-6. The typical screen size of a cell phone is 3-7 inches, so the hardware configuration is rated on a 2-3 point scale.

Similarly, for other types of devices, the scores of the devices in the dimensions included in the influencing elements can be obtained based on the comparison table of the scoring criteria of the dimensions shown in table 2, for example, as shown in table 4.

TABLE 4

It can be seen that table 4 shows scores of the car machine, the watch, the mobile phone, the tablet, the computer and the television in six dimensions of interaction complexity, service quantity, task duration, environment privacy, immersion degree and screen size. For example, for a car machine, the interaction complexity is 1-3, the number of services is 1-3, the task duration is 1-6, the environment privacy is 2-6, the immersion is 1-6, and the screen size is 1-4. As another example, for a watch, the interaction complexity is rated as 1-3, the number of services is rated as 1-2, the task duration is rated as 1-3, the environmental privacy is rated as 1-6, the immersion is rated as 1-2, and the screen size is rated as 1-2. It can be seen that each type of device, has its own features. Some devices have advantages in the complexity of interaction, such as tablets and computers. Some devices do not dominate the task duration, such as watches. Some devices have advantages in screen size, such as televisions and computers.

Similarly, continuing with the example of service type including three dimensions of interaction complexity, number of services and task duration, environmental factors including one dimension of environmental privacy, artificial privacy including one dimension of immersion, hardware configuration of the device including one dimension of screen size. Based on the comparison table of scores of the dimensions shown in table 2, the scores of different services in the dimensions included in the influence elements can be obtained. Wherein, the service can include: music, movies, games, yoga tutorials, email replies, short videos, etc. These services are merely examples in the present embodiment, and the actual use may not be limited thereto, and may further include navigation and the like.

Take the service as music for example. Based on the comparison table of the scoring criteria of each dimension shown in table 2, the parameters and scores of the service of music in each dimension included in each influence element are shown in table 5.

TABLE 5

Based on table 5, it can be understood that, for the service of music, it only needs simple interaction, such as 1 step or 1-2 steps, to complete the interaction operation corresponding to enjoying the service of music, and therefore, the service of music can give a score of 1-3 points in the dimension that the service type is the interaction complexity. Similarly, in general, when the music service runs, other services (such as other similar services) are not allowed to run simultaneously, so that the music service can give a score of 1-2 points when the service type is the dimension of the service number. The service of music generally has a processing time of five minutes or less for the corresponding task, for example, for the system, the task related to the service of processing music once can be finished in five minutes or less, so that the service of music can give a score of 1-3 points in the dimension that the service type is the task time. The service of music has no limit on the privacy of the environment, if no privacy is required, or can be shared with strangers, acquaintances, family and friends, or can be viewed by the user, so the service of music has a score of 1-6 when the environmental factor is the privacy of the environment. The music service has no requirement on the degree of immersion, so the human factor is that the degree of immersion is scored 1-2. The service of music is executed without limitation to the screen size of the device, and may be any size of screen, and thus, the hardware configuration has a screen size of 1 to 6 points in scale.

It should be noted that in the application providing the music service, some elements may be included which do not belong to the complicated interactive operation of enjoying the music service itself. For example, to comment on a certain music, a relatively complicated operation is required. Such operations of elements may not be included in the interactive operations corresponding to the service of enjoying music, but rather may be listed as other services, such as interactive operations corresponding to the "enter text" service. It will be appreciated that the scoring of the "input text" service for each dimension may be different than the scoring of the music service for each dimension.

Similarly, for other services, the scores of the services in the dimensions included in the influence elements can be obtained based on the comparison table of the scoring criteria of the dimensions shown in table 2, for example, as shown in table 6.

TABLE 6

It can be seen that table 6 shows scores of the services of music, movies, games, yoga tutorials, email replies, short videos in six dimensions of interaction complexity, number of services, task duration, environmental privacy, immersion level, screen size, respectively. For example, for the service of a movie, the interaction complexity is 1-3, the number of services is 1-2, the task duration is 1-6, the environment privacy is 2-6, the immersion is 3-6, and the screen size is 2-6. As another example, for a service of short video, the interactive complexity is 1-3, the number of services is 1-2, the task duration is 1-3, the environmental privacy is 1-6, the immersion is 1-6, and the screen size is 2-6. It can be seen that each service has its own features. Some services have higher interaction complexity, such as games, email reply and other services. Some services have high requirements on the immersion degree, such as games, e-mail reply and other services.

As described in the above embodiment, according to the score of each to-be-recommended device in each dimension included by each influence element and the score of each to-be-distributed service in each dimension included by each influence element obtained in S201, the first terminal may determine the matching degree between each to-be-recommended device and the to-be-distributed service. In some embodiments, scores of different types of devices in each dimension included in each influence element and scores of different services in each dimension included in each influence element may be stored in the first terminal in advance. Illustratively, continuing with the example where the service type includes three dimensions of interaction complexity, number of services and task duration, the environmental factors include one dimension of environmental privacy, the artificial privacy includes one dimension of immersion, and the hardware configuration of the device includes one dimension of screen size, the first terminal may store tables 4 and 6 as described above. In this way, according to the type of each device to be recommended obtained in S201 and table 4, the first terminal may determine the score of each device to be recommended in each dimension included in each influence element, and obtain a score result. According to the service to be distributed and the table 6, the first terminal can determine the score of the service to be distributed under each dimension included by each influence element, and obtain a score result.

The type of each device to be recommended may be reported to the first terminal corresponding to the device to be recommended. For example, when the device to be recommended is a device already connected to the first terminal, the type of the device to be recommended may be that the device to be recommended is sent to the first terminal during a process in which the first terminal discovers the device to be recommended, or during a process in which the device to be recommended is connected to the first terminal, or after the device to be recommended is successfully connected to the first terminal. For another example, in a case that the device to be recommended is a device that is not connected to the first terminal but is within a connectable range of the first terminal, the type of the device to be recommended may be that the device to be recommended is sent to the first terminal during the process that the first terminal discovers the device to be recommended, for example, the device to be recommended is sent to the first terminal during the process that the first terminal discovers the device to be recommended by using a positioning technology (e.g., bluetooth). In some embodiments, the device to be recommended may actively report the type of the device to be recommended to the first terminal, or may be passive. For example, the passive reporting of the type of the to-be-recommended device by the to-be-recommended device may be implemented as follows: in any one of the processes, the first terminal may first send a notification of reporting device information to the device to be recommended; after receiving the notification, the device to be recommended may report device information of the device to be recommended, such as the type of the device to be recommended, to the first terminal. After receiving the device information (such as the type) from the device to be recommended, the first terminal may cache the device information of the device to be recommended, so that the first terminal is convenient to use when determining the matching degree between the device to be recommended and the service to be distributed.

After the scoring results of the devices to be recommended and the scoring results of the services to be distributed are determined, the first terminal can determine the matching degree of the devices to be recommended and the services to be distributed according to the scoring results of the devices to be recommended and the scoring results of the services to be distributed.

Illustratively, the scoring result of the device to be recommended and the scoring result of the service to be distributed may be given in the form of a scoring model, and the device to be recommended obtained in S201 includes: mobile phones, watches, car machines, tablets, computers and televisions, for example, the service to be distributed is music. The specific implementation of determining the matching degree between each device to be recommended and the service to be distributed according to the scoring result of each device to be recommended and the scoring result of the service to be distributed may be: the first terminal can construct a scoring model of each device to be recommended according to the obtained scoring result of each device to be recommended.

For example, as shown in fig. 4, device scoring models for a mobile phone, a watch, a car machine, a tablet, a computer, and a television are shown, respectively. The first terminal may construct a device rating model of the watch as shown in (b) of fig. 4, according to a rating of the watch on interaction complexity 1-3, a rating of the number of services 1-2, a rating of the task time 1-3, a rating of the environment privacy 1-6, a rating of the immersion degree 1-2, and a rating of the screen size 1-2. As another example, according to the score 1-3 of the car machine in the interaction complexity, the score 1-3 of the service number, the score 1-6 of the task duration, the score 2-6 of the environment privacy, the score 1-6 of the immersion degree, and the score 1-4 of the screen size, the first terminal may construct a device scoring model of the car machine as shown in (c) of fig. 4. Similarly, the first terminal may further construct a device rating model of a mobile phone as shown in (a) of fig. 4, a device rating model of a tablet as shown in (d) of fig. 4, a device rating model of a computer as shown in (e) of fig. 4, and a device rating model of a television as shown in (f) of fig. 4.

As shown in (a) of fig. 5, a service scoring model of the service of music is shown. According to the score 1-3 of the music service in the interaction complexity, the score 1-2 of the number of services, the score 1-3 of the task duration, the score 1-6 of the environmental privacy, the score 1-2 of the immersion degree and the score 1-6 of the screen size, the first terminal can construct a service scoring model of the music service as shown in (a) of fig. 5.

The first terminal respectively determines the contact ratio of the first terminal and a service scoring model of the service of music according to the equipment scoring models of a mobile phone, a watch, a car machine, a tablet, a computer and a television. According to the coincidence degree of the equipment scoring model of each equipment to be recommended and the service scoring model of the service of music, the first terminal can determine and determine the matching degree of the equipment to be recommended and the service to be distributed.

For example, referring to fig. 4 and fig. 5 (a), as shown in fig. 6, the first terminal may superimpose the device score model of each device to be recommended and the service score model of the service of music, respectively, and according to the result of the superimposition, may determine the degree of coincidence between the device score model of the device to be recommended and the service score model of the service of music. Among them, it is considered that the higher the degree of coincidence, the higher the degree of matching. For example, according to the superposition results shown in fig. 6 (a) to fig. 6 (f), the order of the degree of coincidence between the device scoring model of each device to be recommended and the service scoring model of the service of music from top to bottom may be: tablet, car machine, cell-phone, computer, TV, wrist-watch. The first terminal may determine, according to the degree of coincidence, a ranking of the matching degree of each device to be recommended with the service of music from top to bottom, where the ranking may be: tablet, car machine, cell-phone, computer, TV, wrist-watch.

It should be noted that, in the above embodiments, the score comparison table given in table 2 and the scores given in tables 3 to 6 are examples, and in a specific implementation, the setting may be performed according to requirements of an actual application scenario, and the embodiment is not limited herein. In addition, in the above embodiment, the service type includes three dimensions of interaction complexity, service number and task duration, the environmental factor includes one dimension of environmental privacy, the artificial privacy includes one dimension of immersion degree, and the hardware configuration of the device includes one dimension of screen size, for example, the scoring results of each device to be recommended and the service to be distributed are determined. In other embodiments, the device to be recommended and the service to be distributed may also be scored according to other dimensions in the elements that influence the matching degree of the device and the service. Of course, the elements affecting the matching degree of the device and the service are not limited to the service type, the environmental factor, the human factor and the hardware configuration shown in the embodiment, and other elements may exist; the dimensions under each element are not limited to those shown in table 1, and other dimensions are possible, and this embodiment is not limited herein.

In addition, the above example is described by taking as an example that scores (as shown in table 4) of different types of devices in each dimension included in each influence element and scores (as shown in table 6) of different services in each dimension included in each influence element are stored in the first terminal, and when it is necessary to determine the matching degree of the devices and the services, the first terminal obtains a corresponding score according to the stored corresponding score table, then constructs a corresponding score model according to the obtained score result, and then determines the matching degree according to the corresponding score model. In other embodiments, different types of device scoring models, and service scoring models for different services, may also be stored in the first terminal. For example, the service type includes three dimensions of interaction complexity, service number and task duration, the environmental factors include one dimension of environmental privacy, the artificial privacy includes one dimension of immersion degree, the hardware configuration of the device includes one dimension of screen size, and the services include music, movies, games, yoga tutorials, email replies and short videos. The device rating model shown in fig. 4, and the service rating model shown in fig. 5 may be stored in the first terminal. The service scoring models shown in fig. 5 include a service scoring model for a service such as a movie shown in (b) of fig. 5, a service scoring model for a service such as a game shown in (c) of fig. 5, a service scoring model for a service such as a yoga tutorial shown in (d) of fig. 5, a service scoring model for a service such as a mail reply shown in (e) of fig. 5, and a service scoring model for a service such as a short video shown in (f) of fig. 5. Therefore, when the matching degree of the equipment and the service needs to be determined, the first terminal can directly determine the matching degree according to the stored corresponding scoring model. In this embodiment, whether the score table or the score model is stored in the first terminal is not particularly limited, and may be selectively set according to the needs of an actual scene. In addition, the above example is described by taking as an example that the influence elements and the dimensions according to which the different services are rated are the same, and in some other embodiments, the influence elements and/or the dimensions considered when the different services are rated may be different. However, it is necessary to ensure that the influence elements and dimensions considered when scoring the device are the same as those considered when scoring the service, so that the matching degree between the device and the service can be determined according to the corresponding scoring result.

In the above example of the embodiment, the scores of the devices of the same type in the dimensions included in the influence elements are the same, that is, the score results or the obtained device score models determined by the devices of the same type are the same. Considering that different devices of the same type may have differences in parameters in the dimensions included in the influencing elements, the corresponding scores may also have differences. For example, for a mobile phone, the screen size of some mobile phones is 6 inches, the screen size of some mobile phones is 8 inches, and the scores corresponding to 6 inches and 8 inches are different, for example, when the screen size of the mobile phone is 6 inches, the corresponding score is 2-3 points, and when the screen size of the mobile phone is 8 inches, the corresponding score is 3-4 points. Therefore, in some other embodiments, the first terminal may also take into account the score of a certain dimension or certain individual dimensions (which may be the first dimension in the embodiments of the present application) when determining the matching degree of the device to be recommended and the service to be distributed. For example, the first terminal may determine the matching degree of each device to be recommended and the service to be distributed according to the coincidence degree of the device score model of each device to be recommended and the service score model of the service of music and the score of some single dimension or dimensions. For example, the first terminal may weight the coincidence degree and the scores of the dimensions to determine the matching degree between the device to be recommended and the service to be distributed. Wherein the degree of coincidence and the weight of each dimension may be predefined and stored at the first terminal. For another example, the first terminal may directly add the overlap ratio and the scores of the dimensions to determine the matching degree between the device to be recommended and the service to be distributed. As an example, the first terminal determines the matching degree between the device to be recommended and the service to be distributed according to the contact degree, the score of dimension 1, and the score of dimension 2, where the weight of the contact degree is a, the weight of dimension 1 is b, and the weight of dimension 2 is c. After determining the contact ratio, the first terminal can determine a score corresponding to the contact ratio. If the value range of the contact ratio is 0-100 percent, the value range of the corresponding score is 0-10. For example, a score of 0% corresponds to a score of 0, a score of 50% corresponds to a score of 5, a score of 100% corresponds to a score of 10. Then the degree of match is the score for the degree of coincidence a + the score for dimension 1 b + the score for dimension 2c, or the degree of match is the score for the degree of coincidence + the score for dimension 1 + the score for dimension 2. The specific calculation method is not limited herein. Or, when determining the device scoring model of the device to be recommended, if the device reports not only the device type but also specific parameters of a certain dimension or certain dimensions, for the dimensions for which the specific parameters are reported, the first terminal may use the score corresponding to the specific parameters of the dimension to construct the device scoring model, and does not construct the device scoring model according to the score corresponding to the device type in the dimension. For the dimension of the unreported specific parameter, a device score model can be constructed according to the corresponding score of the device type in the dimension. For example, if the device to be recommended is a mobile phone, if the mobile phone reports its screen size, for example, 8 inches, the corresponding score is 3-4. And referring to table 4, the mobile phone is a type of device that is rated 2-3 points in this dimension of screen size. The first terminal may use the specific parameters of the mobile phone in the dimension of the screen size, such as 8 inches, corresponding score of 3-4, and scores in other dimensions, to construct the device score model. Instead of building a device score model based on the score of 2-3 for a device of the handset type in the dimension of screen size. Therefore, the method not only can reflect the difference of the matching degree of different devices of the same type and services. Moreover, for different devices to be recommended of the same type or different types of devices to be recommended with the same degree of coincidence with the service to be distributed, the matching degree between the devices to be recommended and the service can be distinguished through the scoring of a single dimension.

In other embodiments, the first terminal may also perform initial selection on the to-be-recommended device obtained in S201 according to the specific parameter of the single dimension reported by the to-be-recommended device, so as to determine which to-be-recommended devices need to execute S202, that is, determine the matching degree with the to-be-distributed service for which to-be-recommended devices need to be determined. S202 may not be performed for the device for which the initial selection fails. For example, the service to be distributed is music, and for a device with a score higher than a threshold corresponding to the audio/video quality, the service can be used to continuously implement the service. Therefore, after acquiring the devices to be recommended, the first terminal can determine which devices to be recommended have audio/video quality corresponding scores greater than a threshold value according to the specific parameters of the audio/video quality reported by each recommending device. And executing S202 for the device to be recommended with the audio and video quality corresponding score larger than the threshold value. And for the device to be recommended with the corresponding score of the audio and video quality smaller than the threshold value, not executing the step S202. It is also possible to determine whether to execute S202 directly according to specific parameters of a single dimension.

Note that the above-described single dimension for calculating the matching degree or for preliminary selection may be any dimension among the influence elements shown in table 1. The scores corresponding to the dimensions may be pre-stored in the first terminal, such as a comparison table of the scoring criteria for the dimensions similar to that shown in table 2. In addition, specific parameters (such as the screen size of the device) of each dimension of each device to be recommended may be reported to the first terminal corresponding to the device to be recommended. Similar to the description of the type of the device to be recommended, the specific parameters of each dimension of the device to be recommended may also be carried in the device information of the device to be recommended. For the specific description, reference may be made to the description of the type of the device to be recommended, which is not described in detail herein. The specific parameters of which dimensions need to be reported by the device to be recommended may be predefined, or may be indicated by the first terminal, for example, the notification of the device information that is to be reported indicates which dimensions need to be reported, and this embodiment is not limited specifically here.

In addition, as described in the foregoing embodiment, the content of the service may be an interface, and the specific content that the user wants to distribute out may be a complete interface or an element in the interface. It is understood that elements in the interface can be classified into presentation class elements, manipulation class elements, and the like. The presentation class elements may include one or more of: pictures, videos, text, icons, banners (banner). The manipulation class elements may include one or more of: button, progress slider, toolbar. For different types of elements, the influencing elements (elements influencing the degree of matching between the device and the element) that may be considered in the distribution are also different. For example, the display type element has a high requirement on the size of the screen of the device, and the manipulation type element has a high requirement on the interaction complexity supported by the device. Therefore, for a scene in which elements in the interface need to be distributed, the specific implementation of the first terminal determining the matching degree of the service and the device to be recommended may be: the content of the service, that is, the matching degree of each element (such as the first element and the second element in the embodiment of the present application) in the interface and the device to be recommended is determined, so as to perform device recommendation based on the matching degree. For example, the first terminal may display its corresponding recommendation list for each element. If the first recommendation list corresponding to the first element is displayed, the higher the matching degree of the device to be recommended and the first element is, the higher the recommendation priority of the device identification in the first recommendation list is. A second recommendation list corresponding to the second element is also displayed. The higher the matching degree of the device to be recommended and the second element is, the higher the recommendation priority of the device identification in the second recommendation list is. The specific implementation of determining the matching degree between each element and the device to be recommended may be: the first terminal may store scores of different elements in advance for each dimension included in each influence element. The first terminal can obtain the scoring result of each element according to the corresponding scoring table and the elements needing to be distributed, and then determines a scoring model, such as an element scoring model. According to the element scoring model and the equipment scoring model, the first terminal can determine the matching degree of each element and the equipment to be recommended. The specific implementation is similar to the specific implementation of determining the matching degree between the service and the device to be recommended, and details are not repeated here. Similarly, if the service that the user wants to distribute includes a plurality of contents, such as two or three of the elements including interface, audio and video, the matching degree of the contents and the device to be recommended can also be determined, so as to perform device recommendation based on the matching degree.

S203, the first terminal carries out equipment recommendation according to the matching degree of each equipment to be recommended and the service to be distributed, and the higher the matching degree is, the higher the recommendation priority of the equipment to be recommended is.

Based on the matching degree between each device to be recommended and the service to be distributed determined in S202, the first terminal may recommend the device according to the matching degree. Illustratively, the first terminal displays the device identifier of each device to be recommended according to the matching degree between each device to be recommended and the service to be distributed. And if the first terminal displays a recommendation list, the recommendation list comprises the equipment identification of each equipment to be recommended. In this embodiment, the higher the matching degree with the service to be distributed is, the higher the recommendation priority of the device to be recommended is, for example, the higher the ranking of the device identifier of the device to be recommended in the recommendation list is, and for example, the higher the matching degree with the service to be distributed is, the deeper the color of the highlight mark in the recommendation list is.

For example, with reference to the example and the corresponding description shown in fig. 6, the service to be distributed is continuously used as music, for example, when the user listens to music using a music application of a first terminal, the first terminal displays a music detail interface, the first terminal is a mobile phone (e.g., mobile phone 1), and the device to be recommended acquired by the mobile phone 1 includes a computer, a television, a watch, a mobile phone 2, and a tablet. As shown in fig. 7, the handset 1 may display a recommendation list 702 on the music details interface 701. In the recommendation list 702, the recommendation priority is in order from high to low, i.e., a device identifier 703 of a tablet, a device identifier 704 of a mobile phone (e.g., a mobile phone 2), a device identifier 705 of a computer, a device identifier 706 of a television, and a device identifier 707 of a watch. For example, the recommendation priority may be an order of the device identifiers of the devices to be recommended in the recommendation list, such as the higher the order in the recommendation list, the higher the recommendation priority (as shown in fig. 7), that is, the higher the matching degree, the higher the order. The recommendation priority may also be a background color of the device identifier of the device to be recommended in the recommendation list, for example, the deeper the background color is, the higher the recommendation priority is, that is, the higher the matching degree is, the deeper the background color is. As an example, the device identification may include an icon and/or a name of the device, which is illustrated in fig. 7 as the device identification includes the icon and the name of the device.

In some other embodiments, when the device recommendation is performed, the matching degree between the device to be recommended and the service to be distributed and whether the device to be recommended is successfully connected to the first terminal or not may be considered. For example, when the recommendation list is displayed, the device identifiers of the devices to be recommended are sorted according to the matching degree, and in addition, for the devices to be recommended which are recently connected with the first terminal, visual reminding can be performed, such as highlighting or sorting ahead.

It should be noted that, as described in the foregoing embodiment, in an implementation manner that the first terminal performs initial selection on the to-be-recommended device obtained in S201 according to a specific parameter of a single dimension reported by the to-be-recommended device, and determines a matching degree with the to-be-distributed service only for the to-be-recommended device that has passed the initial selection, when the first terminal displays the recommendation list, the first terminal may not display the device identifier of the to-be-recommended device that has failed the initial selection, or may display the device identifier of the to-be-recommended device that has failed the initial selection at the last, or set the background color to be the lightest, which is not limited in this embodiment. In addition, if the first terminal uses a plurality of services as the services to be distributed in S202, the first terminal may perform the above-described matching procedure for each service to be distributed. In this scenario, in S203, the first terminal may display the recommendation list of each service to be distributed on the screen, and mark the service to be distributed corresponding to each recommendation list for the user to view.

S204, the first terminal receives the selection operation of the device identifier in the recommendation list.

S205, responding to the selection operation in the S204, the first terminal distributes the service to be distributed to the equipment corresponding to the equipment identification.

After the first terminal displays the recommendation list, the user can obtain the current service, or the devices to which the service to be distributed can be distributed, according to the recommendation list, or obtain the recommendation priority of each device according to the device identifier ordered in the recommendation list. The user can select the device to which the service needs to be distributed from the recommendation list according to the self requirement and the recommendation priority, for example, the user can perform selection operation, such as click operation, on the device identifier of the device to be selected in the recommendation list. The first terminal may receive a corresponding selection operation. After receiving a selection operation for the device identifier in the recommendation list, the first terminal may distribute the service to be distributed to the device corresponding to the device identifier selected by the user as a response to the selection operation.

As described in the foregoing embodiments, the content of the service may include one or more of interface, audio, video, and the like. For the condition that the content of the service comprises the interface, the first terminal can acquire the data of the interface and send the data of the interface to the equipment corresponding to the equipment identifier selected by the user. The device can display a corresponding interface on a display screen of the device according to the received data, that is, the interface of the first terminal is displayed on the device corresponding to the device identifier selected by the user.

In some embodiments, a Distributed Multimedia Protocol (DMP) may be used to implement display (or screen projection display) of the interface of the first terminal on the device corresponding to the device identifier selected by the user. For example, the first terminal may create a virtual display (VirtualDisplay). And then, the first terminal draws the interface of the first terminal into the virtual display, so that the first terminal obtains data of the interface of the first terminal, such as screen recording data. The first terminal can encode the screen recording data and then send the encoded screen recording data to the equipment corresponding to the equipment identifier selected by the user. The device can receive the corresponding data, the screen recording data can be obtained after the data are decoded, and the display of the interface of the first terminal on the device can be realized according to the screen recording data. In some other embodiments, a wireless projection (Miracast) may also be used to implement screen projection display of the interface of the first terminal on the device corresponding to the device identifier selected by the user, that is, the first terminal may obtain all layers of the interface of the first terminal, integrate all obtained layers into a video stream, encode the video stream, and send the video stream to the device corresponding to the device identifier selected by the user through a Real Time Streaming Protocol (RTSP) protocol. The device can decode and play the video stream after receiving the video stream, so as to realize screen projection display of the interface of the first terminal on the device. Or, the first terminal may extract an instruction from the interface of the first terminal to obtain an instruction stream, obtain layer information of the interface, and send the instruction stream, the layer information, and the like to the device corresponding to the device identifier selected by the user, so that the first terminal recovers the interface of the first terminal, and the screen-on display of the interface of the first terminal on the device is realized.

For the case that the content of the service includes audio, the first terminal may obtain data of the audio and send the data of the audio to the device corresponding to the device identifier selected by the user. The device can play the corresponding audio through the device according to the received data. For example, the first terminal may create an audio record (AudioRecord) object in advance and create a buffer (buffer). The AudioRecord object may be invoked by the first terminal after the service distribution event is generated. After the AudioRecord object is called, the audio data in the first terminal may be recorded to obtain audio data, and the audio data may be stored in the created buffer. After receiving a selection operation of a user on a certain device identifier in the recommendation list, the first terminal may obtain audio data from the buffer and send the audio data to a device corresponding to the device identifier selected by the user.

For the case that the content of the service includes a video, the first terminal may acquire data of the video and transmit the data of the video to a device corresponding to the device identifier selected by the user. The device can play the corresponding video through the device according to the received data. The process of acquiring the video data is similar to the above-mentioned manner of acquiring the screen recording data in the description of displaying the interface of the first terminal on other devices, and details are not repeated here.

For the case that the content of the service includes one or some elements of the interface, the first terminal may obtain the identifiers of the elements and the data (e.g., instruction stream) of the interface, and send the identifiers of the elements and the instruction stream of the interface to the device corresponding to the device identifier selected by the user. The device can display the corresponding element on a display screen of the device according to the received identifier of the element and the instruction stream of the interface. For example, the device may extract a canvas (canvas) instruction corresponding to the element from the instruction stream of the interface according to the identifier of the element, thereby implementing the display of the element on the display screen of the device according to the canvas instruction.

In addition, as described in the above S201, the device to be recommended acquired by the first terminal may be a device connected to the first terminal, or may be a device that is not connected to the first terminal but is within a connectable range of the first terminal. In case that the device corresponding to the device identifier selected by the user is a device connected to the first terminal, the first terminal may directly distribute the service to the device. In the case that the device corresponding to the device identifier selected by the user is not a device connected to the first terminal but a device that is not connected to the first terminal but is within a connectable range of the first terminal, the first terminal needs to establish a connection with the device before distributing the service to the device.

In some embodiments, the first terminal may establish a wired connection with the device, such as a wired connection with the device via a data line.

In other embodiments, the first terminal may establish a connection with the device wirelessly. Two points of requirements are established between the devices in a wireless mode, one is that the devices know the connection of opposite ends mutuallyAnd the other is that each device has transmission capability. That is, in the case that the first terminal and the device have transmission capabilities and will know the connection information of the opposite terminal to each other, the first terminal may establish a connection with the device in a wireless manner. The connection information may be an identifier of the device, such as an Internet Protocol (IP) address, a port number, or an account number for logging in the device. The account number for logging in the device may be an account number provided by an operator for the user, such as a huawei account number. The account number for logging in the device can also be an application account number, such as WeChat^TMAccount number, you and Ku^TMAn account number, etc. The device has transmission capability that may be near field communication capability or long range communication capability. That is to say, the wireless communication protocol used by the device, for example, for the first terminal to establish connection with the other device, may be a near field communication protocol such as a wireless fidelity (Wi-Fi) protocol, a Bluetooth (Bluetooth) protocol, a ZigBee protocol, a Near Field Communication (NFC) protocol, or may be a cellular network protocol. The connection information required for the connection may be exchanged between the first terminal and the second terminal during discovery of the device. In addition, the wireless communication protocol used by the first terminal discovery device may be the same as or different from the wireless communication protocol used to establish a connection with the first terminal discovery device. For example, the first terminal discovers the device 1 by using a bluetooth protocol, may also establish a connection with the device 1 by using the bluetooth protocol, and may also establish a connection with the device 1 by using another wireless communication protocol, such as a Wi-Fi protocol, which is not limited in this embodiment.

The following describes, by way of example, the device recommendation method provided in this embodiment with reference to specific scenarios.

For example, in connection with the scenario shown in fig. 3, the first terminal is a mobile phone 301, and the user's home is equipped with a television 302 and a smart speaker 303. As shown in fig. 8, the user can turn on the bluetooth function of the mobile phone 301. The handset 301 can turn on bluetooth broadcast listening (S801 in fig. 8).

In the case where the bluetooth function of the television 302 is turned on, the television 302 may transmit a bluetooth broadcast, such as referred to as bluetooth broadcast 1 (e.g., S802 in fig. 8). The handset 301 can receive the bluetooth broadcast 1 to determine that the tv 302 is in the vicinity, or that the tv 302 is within the connectable range. The handset 301 may send a notification message, such as notification message 1, to the television 302, where the notification message reports the device information (e.g., S803 in fig. 8). After receiving the notification message 1, the tv 302 may send its own device information, for example, referred to as device information 1, to the handset 301 (e.g., S804 in fig. 8). The device type of the television 302 may be included in the device information 1. The device information 1 may also include connection information of the television 302, such as an IP address of the television 302. After receiving the device information 1, the mobile phone 301 may cache the device information 1 of the television 302 (e.g., S805 in fig. 8).

Similarly, in the case where the bluetooth function of smart sound box 303 is turned on, a bluetooth broadcast, such as referred to as bluetooth broadcast 2, may be transmitted (e.g., S806 in fig. 8). The handset 301 can receive the bluetooth broadcast 2 to determine that the smart speaker 303 is in proximity, or that the smart speaker 303 is within connectable range. The handset 301 may send a notification message, such as notification message 2, to the smart sound box 303, where the notification message reports the device information (e.g., S807 in fig. 8). After receiving the notification message 2, the smart sound box 303 may send its own device information, for example, referred to as device information 2, to the mobile phone 301 (e.g., S808 in fig. 8). The device information 2 may include the device type of the smart sound box 303. The device information 2 may also include connection information of the smart sound box 303, such as an IP address of the smart sound box 303. After receiving the device information 2, the mobile phone 301 may cache the device information 2 of the smart sound box 303 (e.g., S809 in fig. 8).

The user plays the movie (movie is the service to be distributed) using the handset 301. The handset 301 detects that the current location of the user is the home of the user, and may determine that the current scenario satisfies the service distribution condition (e.g., S810 in fig. 8). The mobile phone 301 may determine the matching degree between the tv 302 and the smart speaker 303 and the movie service according to the stored device information 1 and device information 2 (e.g., S811 in fig. 8). For example, the mobile phone 301 determines scores of the television in six dimensions, i.e., the interaction complexity, the service number, the task duration, the environmental privacy, the immersion degree, and the screen size, according to the device type included in the device information 1, and obtains a score result 1. The mobile phone 301 determines, according to the device type included in the device information 2, scores of six dimensions, namely, the interaction complexity, the service number, the task duration, the environment privacy, the immersion degree, and the screen size of the sound box, and obtains a score result 2. The mobile phone 301 determines scores of the movie service in six dimensions of interaction complexity, service quantity, task duration, environment privacy, immersion degree and screen size, and obtains a score result 3. The mobile phone 301 constructs an equipment scoring model of the television 302 according to the scoring result 1, constructs an equipment scoring model of the smart sound box 303 according to the scoring result 2, and constructs a service scoring model of the service of the movie according to the scoring result 3. The mobile phone 301 determines the matching degree 1 of the service of the television 302 and the movie according to the device score model of the television 302 and the service score model of the service of the movie, and determines the matching degree 2 of the service of the smart speaker 303 and the movie according to the device score model of the smart speaker 303 and the service score model of the service of the movie. For example, the degree of matching 1 is greater than the degree of matching 2.

The mobile phone 301 displays the recommendation list according to the determined matching degree (see S812 in fig. 8).

As an example, as shown in fig. 9, when the mobile phone 301 plays a movie, a play interface 901 is displayed, and the mobile phone 301 may display a recommendation list 902 on the play interface 901. The recommendation priority levels are the equipment identifier 903 of the television 302 and the equipment identifier 904 of the smart sound box 303 from high to low in the recommendation list 902. If the mobile phone 301 receives the user' S selection operation of the device identifier 902 of the television 302, the movie played by the mobile phone 301 may be distributed to the television 302 for continuous playing (S813 in fig. 8).

As yet another example, the movie played by the cell phone 301 includes audio and an interface (or picture). The mobile phone 301 may further determine matching degrees of the audio and the television 302 and the smart speaker 303, respectively, and determine matching degrees of the interface and the television 302 and the smart speaker 303. For audio, if the matching degree of the smart sound box 303 is greater than that of the television 302, it can be determined that the smart sound box 303 does not have a specific display function through initial selection, and the matching degree of the television 302 can be considered to be the highest. As shown in fig. 10, the cell phone 301 can display a recommendation list 1002 on the play interface 1001. The recommendation priority for audio in the recommendation list 1002 is in the order from high to low, namely the device identifier 1004 of the smart sound box 303 and the device identifier 1003 of the television 302; the recommendation for the interface is the device identification 1003 of the television 302. If the mobile phone 301 receives a selection operation of the device identifier 1003 of the television 302 in the recommendation of the interface by the user, the interface of the movie played by the mobile phone 301 can be distributed to the television 302 to continue playing; if the mobile phone 301 receives a selection operation of the device identifier 1004 of the smart sound box 303 in the recommendation of the audio by the user, the audio of the movie played by the mobile phone 301 may be distributed to the smart sound box 303 to be played continuously.

For another example, the first terminal is a mobile phone 1. The vehicle of the user is provided with a car machine, a HUD, and the like. The user uses the mobile phone 1 to navigate during driving of the vehicle. The mobile phone 1 determines that the current user is driving a vehicle, that is, determines that the current scene meets the service distribution condition. The mobile phone 1 can acquire the device to be recommended in the connectable range, and if the mobile phone 1 acquires the device to be recommended, the method includes: cell-phone 2, car machine and HUD. The mobile phone 1 can respectively determine the matching degree of the mobile phone 2, the car machine and the HUD with the navigation. If the mobile phone 1 determines that the matching degree with the navigation is in the following sequence from high to low: car machine, cell-phone 2, HUD. The mobile phone 1 may display a recommendation list in which the recommendation priority of the car machine is higher than that of the mobile phone 2, and the recommendation priority of the mobile phone 2 is higher than that of the HUD. Or, the mobile phone 1 may also recommend the device according to the matching degree between the navigation content or each element in the navigation interface and the device.

For another example, the first terminal is a mobile phone. And under the condition that the user plays video or audio by using the mobile phone or browses an interface, the mobile phone receives cross-equipment dragging operation input by the user. The mobile phone 1 may acquire the device to be recommended in the connectable range, and perform device recommendation by determining a matching degree between the device to be recommended and a service (specifically, a dragged object).

As an example, according to the above method, as shown in table 7, the present embodiment provides a recommendation ranking example for different service and different application types.

TABLE 7

It can be seen that, by using the method provided by this embodiment, for different applications, different services (or contents of the services) can give a recommendation ranking suitable for the service, so that a user can more intuitively see or know the devices to which the current service is suitable for being distributed. In addition, table 7 shows the weight ranking of the dimensions corresponding to different applications and different service contents, and weights can be set for the corresponding dimensions according to the weight ranking, so as to be used when determining the matching degree of the service and the device. Before distributing the service to other devices, the devices need to satisfy the distribution condition, such as that of AR/VR, headset and watch, being in a wearing state; the distribution condition of the flat plate and the car machine is bright screen; the distribution condition of the television and the computer is running (or not sleeping or powering off); the distribution condition of the loudspeaker boxes is power-on (or power-on). In some embodiments, the device recommendation ranks corresponding to different applications and different services (or contents of the services) in table 7 may be stored in the first terminal in advance, so that when there is a demand for distributing services, device recommendation may be directly performed according to the stored correspondence and the discovered devices.

According to the technical scheme provided by the embodiment, after the terminal determines that the service distribution condition is met, the terminal can grade the equipment and the service according to the factors which influence the matching degree of the equipment and the service, such as the hardware configuration, the service type, the human factors, the environmental factors and the like of the equipment, so that the matching degree of the equipment and the service can be determined according to the grading result. And finally, recommending the equipment according to the determined matching degree. The accuracy of the recommendation and sequencing of the equipment is improved, and the use experience of the user is improved. In addition, the terminal can also score the interface element (or the service content) according to the above-mentioned elements, so as to determine the matching degree between the device and the interface element (or the service content) according to the scoring result, and perform device recommendation according to the matching degree, thereby further improving the accuracy of device recommendation sequencing.

Fig. 11 is a schematic composition diagram of an apparatus recommendation device according to an embodiment of the present application. As shown in fig. 11, the apparatus may be applied to a first terminal (or a first device), and the apparatus may include: a processing unit 1101 and a display unit 1102.

The processing unit 1101 is configured to run a first service, and when it is determined that the first service needs to be distributed to other devices, obtain at least one second device.

A display unit 1102, configured to display a device identifier of at least one second device according to a matching degree between each second device in the at least one second device and the first service; the higher the matching degree of the second device and the first service is, the higher the recommendation priority of the device identifier of the second device is.

Further, the processing unit 1101 is further configured to determine a matching degree between each second device of the at least one second device and the first service.

Further, the determining, by the processing unit 1101, a matching degree between each second device in the at least one second device and the first service may include: for each of the at least one second device: obtaining the scores of the second equipment in all dimensions, and obtaining the scores of the first service in all dimensions; determining the matching degree of the second equipment and the first service according to the scores of the second equipment in all dimensions and the scores of the first service in all dimensions; wherein, each dimension is divided according to different factors which influence the matching degree of the equipment and the service.

Further, the determining, by the processing unit 1101, a matching degree between the second device and the first service according to the score of the second device in each dimension and the score of the first service in each dimension may include: generating a device score model of the second device according to the scores of the second device in all dimensions, and generating a service score model of the first service according to the scores of the first service in all dimensions; acquiring the coincidence degree of the equipment scoring model and the service scoring model; determining the matching degree of the second equipment and the first service according to the contact degree; the higher the coincidence degree of the equipment scoring model and the service scoring model is, the higher the matching degree of the corresponding second equipment and the first service is.

Further, the apparatus may further include a receiving unit 1103 configured to receive device information from the second device, where the device information may include a type of the second device.

The processing unit 1101 obtains scores of the second device in each dimension, and may include: and according to the type of the second equipment, obtaining the scores of the second equipment in each dimension from the stored scores of the different types of equipment in each dimension.

Further, the receiving unit 1103 is configured to receive device information from the second device, where the device information may include a type of the second device and a parameter of a first dimension of the dimensions.

The processing unit 1101 obtains scores of the second device in each dimension, and may include: according to the type of the second equipment, obtaining scores of other dimensions of the second equipment in the dimensions except the first dimension from the stored scores of the different types of equipment in the dimensions; and according to the parameters of the first dimension, obtaining the scores of the second equipment in the first dimension from the stored scores of the first dimension under different parameters.

Further, the processing unit 1101 obtains scores of the first service in each dimension, which may include: and obtaining the scores of the first service in each dimension from the stored scores of different services in each dimension.

Further, the content of the first service includes one or more of an interface, audio, and video.

Further, when the content of the first service includes two or three of an interface, audio and video, device recommendation may be performed according to a matching degree of each content included in the service and each second device of the at least one second device, respectively. If the content of the first service includes first content (e.g., an interface) and second content (e.g., audio), the displaying unit 1102 displays the device identifier of the at least one second device according to the matching degree of each second device in the at least one second device with the first service, which may include: displaying a recommendation list 1 according to the matching degree of the first content and each second device, wherein in the recommendation list 1, the higher the matching degree with the first content, the higher the device identification of the second device is ranked; and displaying a recommendation list 2 according to the matching degree of the second content and each second device, wherein in the recommendation list 2, the device identifiers of the second devices with higher matching degree with the second content are ranked more forward.

The processing unit 1101 is further configured to determine a matching degree between each second device of the at least one second device and a content (e.g., a first content) of the first service.

Further, the determining, by the processing unit 1101, a matching degree between each second device of the at least one second device and the first content may include: for each of the at least one second device: the method comprises the steps of obtaining scores of second equipment in all dimensions, and obtaining scores of first content in all dimensions; determining the matching degree of the second equipment and the first content according to the scores of the second equipment in all dimensions and the scores of the first content in all dimensions; wherein, each dimension is divided according to different factors which influence the matching degree of the equipment and the service.

Further, the determining, by the processing unit 1101, a matching degree between the second device and the first content according to the scores of the second device in the dimensions and the scores of the first content in the dimensions may include: generating a device score model of the second device according to the scores of the second device in all dimensions, and generating a content score model of the first content according to the scores of the first content in all dimensions; acquiring the coincidence degree of the equipment scoring model and the content scoring model; determining the matching degree of the second equipment and the first content according to the contact degree; the higher the coincidence degree of the device scoring model and the content scoring model is, the higher the matching degree of the corresponding second device and the first content is.

Further, when the content of the first service includes an interface including a plurality of elements, device recommendation may be performed according to a matching degree of each element included in the interface and each second device in the at least one second device, respectively. For example, the content of the first service includes a first interface including a first element (e.g., a manipulation class element) and a second element (e.g., a presentation class element); the displaying unit 1102 displays the device identifier of the at least one second device according to the matching degree between each second device in the at least one second device and the first service, and may include: and displaying a recommendation list 1 'according to the matching degree of the first element and each second device in the at least one second device, wherein in the recommendation list 1', the device identifications of the second devices with higher matching degree with the first element are ranked more front. And displaying a recommendation list 2 'according to the matching degree of the second element and each second device in the at least one second device, wherein in the recommendation list 2', the device identifications of the second devices with higher matching degree with the second element are ranked more front.

The processing unit 1101 is further configured to determine a matching degree between each of the at least one second device and an element (e.g., a first element) in the interface.

Further, the determining, by the processing unit 1101, a matching degree between each second device in the at least one second device and the first element may include: for each of the at least one second device: obtaining the scores of the second equipment in all dimensions, and obtaining the scores of the first elements in all dimensions; determining the matching degree of the second equipment and the first element according to the scores of the second equipment in all dimensions and the scores of the first element in all dimensions; wherein, each dimension is divided according to different factors which influence the matching degree of the equipment and the elements.

Further, the determining, by the processing unit 1101, a matching degree between the second device and the first element according to the score of the second device in each dimension and the score of the first element in each dimension may include: generating a device score model of the second device according to the scores of the second device in all dimensions, and generating an element score model of the first element according to the scores of the first element in all dimensions; acquiring the coincidence degree of the equipment scoring model and the element scoring model; determining the matching degree of the second equipment and the first element according to the contact degree; the higher the coincidence degree of the equipment scoring model and the element scoring model is, the higher the matching degree of the corresponding second equipment and the first element is.

Further, the processing unit 1101 determines that the first service needs to be distributed to other devices, which may include: receiving an operation of distributing a first service; the operation of distributing the first service is an operation of triggering wireless screen projection of the first equipment, or the operation of distributing the first service is a cross-equipment dragging operation; or, determining that the current scene meets the service distribution condition.

The embodiment of the present application further provides a device recommendation apparatus, which may be applied to an electronic device, such as the first terminal or the first device in the foregoing embodiments. The apparatus may include: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to enable the device recommendation apparatus to implement the functions or steps performed by the first terminal in the above method embodiments.

An embodiment of the present application further provides an electronic device (the electronic device may be a terminal, for example, a first terminal or a first device in the foregoing embodiments), where the electronic device may include: a display screen, a memory, and one or more processors. The display screen, memory and processor are coupled. The memory is for storing computer program code comprising computer instructions. When the processor executes the computer instructions, the electronic device may perform the various functions or steps performed by the first terminal in the above-described method embodiments. Of course, the electronic device includes, but is not limited to, the display screen, memory, and one or more processors described above. For example, the structure of the electronic device may refer to the structure of a mobile phone shown in fig. 1.

The embodiment of the present application further provides a chip system, where the chip system may be applied to an electronic device, such as the first terminal (or the first device) in the foregoing embodiments. As shown in fig. 12, the system-on-chip includes at least one processor 1201 and at least one interface circuit 1202. The processor 1201 may be a processor in the electronic device described above. The processor 1201 and the interface circuit 1202 may be interconnected by wires. The processor 1201 may receive and execute computer instructions from the memory of the electronic device described above via the interface circuit 1202. The computer instructions, when executed by the processor 1201, may cause the electronic device to perform the various steps performed by the handset or PC in the embodiments described above. Of course, the chip system may further include other discrete devices, which is not specifically limited in this embodiment of the present application.

An embodiment of the present application further provides a computer-readable storage medium, configured to store an electronic device, such as the computer instruction executed by the first terminal.

An embodiment of the present application further provides a computer program product, which includes an electronic device, such as the computer instruction executed by the first terminal.

Through the description of the above embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical functional division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another device, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may be one physical unit or a plurality of physical units, that is, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or partially contributed to by the prior art, or all or part of the technical solutions may be embodied in the form of a software product, where the software product is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A device recommendation method is applied to a first device, and comprises the following steps:

the first device running a first service;

the first equipment acquires at least one second equipment when determining that the first service needs to be distributed to other equipment;

the first equipment displays the equipment identification of the at least one second equipment according to the matching degree of each second equipment in the at least one second equipment and the first service; wherein the higher the matching degree of the second device with the first service is, the higher the recommendation priority of the device identifier of the second device is.

2. The method according to claim 1, before the first device displays the device identifier of each of the at least one second device according to the matching degree between the at least one second device and the first service, further comprising:

the first device determines a matching degree of each second device of the at least one second device with the first service.

3. The method of claim 2, wherein the determining, by the first device, a matching degree of each of the at least one second device with the first service comprises:

for each second device in the at least one second device, the first device obtains a score of the second device in each dimension;

the first equipment acquires the scores of the first service in all dimensions;

the first equipment determines the matching degree of each second equipment and the first service according to the scores of the second equipment in each dimension and the scores of the first service in each dimension;

and the dimensions are divided according to different factors influencing the matching degree of the equipment and the service.

4. The method of claim 3, wherein the determining, by the first device, the matching degree of the second device with the first service according to the scores of the second device in the dimensions and the scores of the first service in the dimensions comprises:

the first device generates a device score model of the second device according to the scores of the second device in all dimensions, and generates a service score model of the first service according to the scores of the first service in all dimensions;

the first equipment acquires the coincidence degree of the equipment scoring model and the service scoring model;

the first equipment determines the matching degree of the second equipment and the first service according to the contact ratio;

the higher the coincidence degree of the equipment scoring model and the service scoring model is, the higher the matching degree of the corresponding second equipment and the first service is.

5. The method of claim 3 or 4, wherein the first device obtains the scores of the second device in each dimension, comprising:

the first device receiving device information from the second device, the device information including a type of the second device;

and the first equipment acquires the scores of the second equipment in each dimension from the stored scores of different types of equipment in each dimension according to the type of the second equipment.

6. The method of claim 3 or 4, wherein the first device obtains the scores of the second device in each dimension, comprising:

the first device receives device information from the second device, wherein the device information comprises the type of the second device and parameters of a first dimension in the dimensions;

the first equipment acquires scores of other dimensions of the second equipment in the dimensions except the first dimension from stored scores of different types of equipment in the dimensions according to the type of the second equipment;

and the first equipment acquires the score of the second equipment in the first dimension from the stored scores of the first dimension under different parameters according to the parameter of the first dimension.

7. The method according to any one of claims 3-6, wherein the obtaining, by the first device, the scores of the first service in the dimensions comprises:

and the first equipment acquires the scores of the first service in each dimension from the stored scores of different services in each dimension.

8. The method of any of claims 1-7, wherein the content of the first service comprises one or more of an interface, audio, and video.

9. The method of claim 1, wherein the content of the first service comprises a first interface, the first interface comprising a first element and a second element;

the first device displays the device identifier of the at least one second device according to the matching degree of each second device in the at least one second device and the first service, and the method comprises the following steps:

the first device displays a first recommendation list according to the matching degree of the first element and each second device in the at least one second device, wherein the first recommendation list comprises the device identification of the at least one second device, and the higher the matching degree of the second device and the first element is, the higher the recommendation priority of the device identification of the second device in the first recommendation list is;

and the first device displays a second recommendation list according to the matching degree of the second element and each second device in the at least one second device, wherein the second recommendation list comprises the device identifier of the at least one second device, and the higher the matching degree of the second device and the second element is, the higher the recommendation priority of the device identifier of the second device in the second recommendation list is.

10. The method of any of claims 1-9, wherein the determining that the first service needs to be distributed to other devices comprises:

the first device receives an operation of distributing the first service; the operation of distributing the first service is an operation of triggering the first equipment to wirelessly project a screen, or the operation of distributing the first service is an operation of dragging across equipment; or the like, or, alternatively,

the first device determines that a current scene meets a service distribution condition.

11. An apparatus recommendation device, comprising: a processor; a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to cause the device recommendation apparatus to implement the method of any one of claims 1-10.

12. A computer readable storage medium having computer program instructions stored thereon, which, when executed by an electronic device, cause the electronic device to implement the method of any one of claims 1-10.