WO2022062998A1 - 一种设备推荐方法及设备 - Google Patents

一种设备推荐方法及设备 Download PDF

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Publication number
WO2022062998A1
WO2022062998A1 PCT/CN2021/118530 CN2021118530W WO2022062998A1 WO 2022062998 A1 WO2022062998 A1 WO 2022062998A1 CN 2021118530 W CN2021118530 W CN 2021118530W WO 2022062998 A1 WO2022062998 A1 WO 2022062998A1
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Prior art keywords
service
dimension
degree
score
matching
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PCT/CN2021/118530
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English (en)
French (fr)
Inventor
杨婉艺
刘丰恺
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华为技术有限公司
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Publication of WO2022062998A1 publication Critical patent/WO2022062998A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/451Execution arrangements for user interfaces
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72469User interfaces specially adapted for cordless or mobile telephones for operating the device by selecting functions from two or more displayed items, e.g. menus or icons
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72469User interfaces specially adapted for cordless or mobile telephones for operating the device by selecting functions from two or more displayed items, e.g. menus or icons
    • H04M1/72472User interfaces specially adapted for cordless or mobile telephones for operating the device by selecting functions from two or more displayed items, e.g. menus or icons wherein the items are sorted according to specific criteria, e.g. frequency of use

Definitions

  • the present application relates to the field of electronic devices, and in particular, to a device recommendation method and device.
  • terminals such as mobile phones, tablet computers, personal computers (personal computers, PCs), and smart home devices (such as TV sets) at the same time.
  • services on one terminal can be distributed to other terminals.
  • the interface displayed by the terminal 1 can be distributed to the terminal 2 for display, and can also be used by the user.
  • the terminal 1 can sort its peripheral devices according to certain sorting rules and recommend them 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 sorted according to a certain sorting rule. The user can select the target device to which the service is to be distributed according to the sorted device identifiers included in the recommendation list.
  • the sorting rule for device recommendation in the prior art is usually whether other terminals have successfully connected with the device, such as terminal 1 .
  • the device identifiers of the terminals that have been successfully connected to the terminal 1 are prioritized. That is to say, the terminal that has been successfully connected to the terminal 1 is preferentially recommended to the user.
  • the successful connection with the terminal 1 is based on the data generated by the user's historical behavior, and the successfully connected terminal may not be the target device the user wants to distribute services this time, which leads to inaccurate recommendation ranking provided by the terminal.
  • the embodiments of the present application provide a device recommendation method and device, which solve the problem of inaccurate recommendation ranking when performing device recommendation.
  • a first aspect of the present application provides a device recommendation method, which can be applied to a first device.
  • the method may include: the first device runs a first service; the first device determines that the first service needs to be distributed to other devices When , obtain at least one second device; the first device displays the device identification of 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; wherein, the second device and the first service The higher the matching degree is, the higher the recommendation priority of the device identification of the second device is.
  • the first service may be a function running in the first device that can be distributed to other devices for continuous implementation, for example, the first service may be services such as music, movies, games, and mail reply.
  • the first device displaying the device identifier of the at least one second device may specifically be: the first device displays a recommendation list, and the recommendation list includes the device identifier of the at least one second device.
  • the device identification of the second device with the higher matching degree with the first service is ranked higher in the recommendation list, or the matching degree with the first service is higher.
  • the device ID of the second device is highlighted in the recommended list with a darker color.
  • the first device can determine the matching degree between the discovered device (such as the second device) and the first service, and according to the determined The matching degree of the device is recommended.
  • the accuracy of device recommendation sorting is improved, and the user experience is improved.
  • the method may further include: first A device determines a degree of matching between each of the at least one second device and the first service.
  • the first device determining the degree of matching between each second device in the at least one second device and the first service may include: for each second device in the at least one second device: the first The device obtains the score of the second device in each dimension, and obtains the score of the first service in each dimension; the first device determines the relationship 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 Matching degree of service; among them, each dimension is divided according to different factors that affect the matching degree of equipment and service.
  • the factors affecting the matching degree between the device and the service may include one or more factors among hardware configuration, service type, human factors, and environmental factors. Each dimension can be divided according to these multiple factors.
  • the hardware configuration may include one or more of the dimensions of screen size, display quality, supported interaction methods, audio and video quality, and mobility/travel.
  • the service type may include one or more of the dimensions of interaction complexity, service quantity, task duration, interaction mode, service content form, service category, and status when using the service.
  • Human factors can include: one or more of the dimensions of immersion, privacy, human state, sitting posture, etc.
  • Environmental factors may include one or more of: environmental privacy, outdoor/indoor, environmental conditions, etc. dimensions. In this way, devices and services are scored based on various dimensions that affect the matching degree of devices and services, so that the matching degree of devices and services can be determined according to the scoring results, which further improves the accuracy of device recommendation sorting.
  • the first device determines 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, which may include: the first device The device scoring model of the second device is generated according to the scores of the second device in each dimension, and the service scoring model of the first service is generated according to the scores of the first service in each dimension; the first device obtains the degree of coincidence between the device scoring model and the service scoring model ; The first device determines the degree of matching between the second device and the first service according to the degree of overlap; wherein, the higher the degree of overlap between the device scoring model and the service scoring model, the higher the degree of matching between the second device and the first service. According to the obtained scores, a scoring model of the device and a scoring model of the service are respectively generated, so as to determine the matching degree of the device and the service according to the coincidence degree of the models.
  • obtaining the score of the second device in each dimension by the first device may include: the first device receiving device information from the second device, where the device information may include the type of the second device; According to the type of the second device, a device obtains the score of the second device in each dimension from the stored scores of different types of devices in each dimension. According to the device type, the score of the corresponding device in different dimensions can be determined, which is used to determine the matching degree between the device and the service.
  • obtaining the scores of the second device in each dimension by the first device may include: the first device receiving device information from the second device, where the device information may include the type of the second device and each dimension of the second device.
  • the parameters of the first dimension in the dimension the first device obtains, according to the type of the second device, from the stored scores of different types of devices under each dimension, the second device in each dimension except the first dimension. Scoring; the first device obtains the score of the second device 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 score of the device in other dimensions can be determined according to the device type, so as to obtain the score of the device in each dimension, which is used to determine the relationship between the device and the service.
  • the matching degree based on which device recommendation is made, can further improve the accuracy of device recommendation ranking.
  • the obtaining, by the first device, the scores of the first service in each dimension may include: the first device obtains, from the stored scores of different services in each dimension, the scores of the first service in each dimension score.
  • the content of the first service includes one or more of interface, audio and video.
  • the content of the first service when the content of the first service includes two or three of the interface, audio and video, the content of the first service may be related to each of the second devices in the at least one second device according to the content included in the service.
  • the matching degree of the device is used for device recommendation.
  • the content of the first service includes first content (such as an interface) and second content (such as audio)
  • the first device displays at least one second device according to the degree of matching between each second device in the at least one second device and the first service
  • the device identification of the device may include: the first device displays a recommendation list 1 according to the degree of matching between the first content and each second device, and in the recommendation list 1, the device identification of the second device with a higher degree of matching with the first content The higher the order.
  • the first device displays a recommendation list 2 according to the degree of matching between the second content and each second device. In the recommendation list 2, the device identifier of the second device with a higher degree of matching with the second content is ranked higher.
  • the first device may determine the degree of matching between each of the at least one second device and the content (eg, the first content) of the first service.
  • the first device determining the degree of matching between each second device in the at least one second device and the first content may include: for each second device in the at least one second device: the first device obtains a score of the second device in each dimension , obtain the score of the first content in each dimension; the first device determines the degree of matching between the second device and the first content according to the score of the second device in each dimension and the score of the first content in each dimension; wherein, each dimension is It is divided according to different factors that affect the matching degree of equipment and services.
  • the first device determines the degree of matching between the second device and the first content according to the score of the second device in each dimension and the score of the first content in each dimension, which may include: the first device generates according to the score of the second device in each dimension The device scoring model of the second device generates a content scoring model of the first content according to the scores of the first content in each dimension; the first device obtains the degree of overlap between the device scoring model and the content scoring model; the first device determines the first content according to the degree of overlap The matching degree of the second device and the first content; wherein, the higher the coincidence degree of the device scoring model and the content scoring model, the higher the matching degree of the corresponding second device and the first content.
  • the scores of different contents in each dimension may be pre-stored in the first device.
  • the degree of matching between each element included in the interface and each second device in the at least one second device may be respectively based on to make device recommendations.
  • the content of the first service includes a first interface, and the first interface includes a first element (such as a manipulation element) and a second element (such as a presentation element);
  • the matching degree of the first service, displaying the device identification of the at least one second device may include: the first device recommending devices according to the matching degree between the first element and each second device in the at least one second device, and the second device and the second device The higher the matching degree of an element, the higher the recommendation priority of the second device; if the first device displays a recommendation list 1' (such as the first recommendation list in this embodiment of the present application), in the recommendation list 1', it is the same as the first recommendation list 1'.
  • a recommendation list 1' such as the first recommendation list in this embodiment of the present application
  • the first device recommends devices according to the degree of matching between the second element and each of the second devices in the at least one second device, and the higher the degree of matching between the second device and the second element, the higher the recommendation priority of the second device;
  • a device displays a recommendation list 2' (such as the second recommendation list in the embodiment of the present application), and in the recommendation list 2', the device identifier of the second device with a higher degree of matching with the second element is ranked higher.
  • the first device can also determine the degree of matching between the device and the interface element, and perform device recommendation based on this, which can further improve the accuracy of device recommendation ranking.
  • the first device may determine the degree of matching between each second device in the at least one second device and an element (eg, the first element) in the interface.
  • the first device determining the degree of matching between each second device in the at least one second device and the first element may include: for each second device in the at least one second device: the first device obtains the score of the second device in each dimension , obtain the score of the first element in each dimension; the first device determines the matching degree of 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; wherein, each dimension is Divided by different factors that affect the match between equipment and elements.
  • the first device determines 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, which may include: the first device generates according to the score of the second device in each dimension The device scoring model of the second device generates an element scoring model of the first element according to the scores of the first element in each dimension; the first device obtains the degree of coincidence between the device scoring model and the element scoring model; the first device determines the first element according to the coincidence degree The matching degree of the second device and the first element; wherein, the higher the coincidence degree of the device scoring model and the element scoring model, the higher the matching degree of the corresponding second device and the first element.
  • the scores of different elements in each dimension may be pre-stored in the first device.
  • determining that the first service needs to be distributed to other devices may include: the first device receives an operation of distributing the first service; wherein the operation of distributing the first service is to trigger the first device to wirelessly The screen projection operation, or, the operation of distributing the first service is a drag operation across devices; or, the first device determines that the current scene satisfies the service distribution condition.
  • a second aspect of the present application provides an apparatus for recommending a device, the apparatus can be applied to a first device, the apparatus may include: a processing unit, configured to run a first service, when it is determined that the first service needs to be distributed to other devices , obtain at least one second device; a display unit, configured to display the device identification of at least one second device according to the degree of matching between each second device in the at least one second device and the first service; wherein the second device and the first service The higher the matching degree of the service, the higher the recommendation priority of the device identification of the second device.
  • the processing unit is further configured to determine a degree of matching between each second device in the at least one second device and the first service.
  • the processing unit determining the degree of matching between each second device in the at least one second device and the first service may include: for each second device in the at least one second device: obtaining the second According to the score of the device in each dimension, the score of the first service in each dimension is obtained; according to the score of the second device in each dimension and the score of the first service in each dimension, the matching degree of the second device and the first service is determined; wherein, Each dimension is divided according to different factors that affect the matching degree of equipment and services.
  • the processing unit determines 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, which may include: according to the second device The device scoring model of the second device is generated by scoring in each dimension, and the service scoring model of the first service is generated according to the scoring of the first service in each dimension; the degree of coincidence between the device scoring model and the service scoring model is obtained; The matching degree of the second device and the first service; wherein, the higher the coincidence degree of the device scoring model and the service scoring model, the higher the matching degree of the corresponding second device and the first service.
  • the apparatus may further include: a receiving unit, configured to receive device information from the second device, where the device information may include the type of the second device; the processing unit acquires the dimensions of the second device in each dimension
  • the score of the second device may include: obtaining the score of the second device in each dimension from the stored scores of different types of devices in each dimension according to the type of the second device.
  • the receiving unit is configured to receive device information from the second device, where the device information may include the type of the second device and parameters of the first dimension in each dimension; the processing unit acquires the second device
  • the scoring in each dimension may include: according to the type of the second device, from the stored scores of different types of devices in each dimension, obtaining scores of the second device in other dimensions in each dimension except the first dimension; According to the parameters of the first dimension, the score of the second device in the first dimension is obtained from the stored scores of the first dimension under different parameters.
  • the processing unit acquiring the score of the first service in each dimension may include: acquiring the score of the first service in each dimension from the stored scores of different services in each dimension.
  • the content of the first service includes one or more of interface, audio and video.
  • the content of the first service when the content of the first service includes two or three of the interface, audio and video, the content of the first service may be related to each of the second devices in the at least one second device according to the content included in the service.
  • the matching degree of the device is used for device recommendation. If the content of the first service includes first content (such as an interface) and second content (such as audio), the display unit displays the at least one second device according to the degree of matching between each second device in the at least one second device and the first service can include: displaying a recommendation list 1 according to the degree of matching between the first content and each second device, and in the recommendation list 1, the device identification of the second device with the higher degree of matching with the first content is ranked higher. ; Display a recommendation list 2 according to the degree of matching between the second content and each second device. In the recommendation list 2, the device identifier of the second device with the higher degree of matching with the second content is ranked higher.
  • the processing unit is further configured to determine the degree of matching between each second device in the at least one second device and the content (eg, the first content) of the first service.
  • the processing unit determining the degree of matching between each second device in the at least one second device and the first content may include: for each second device in the at least one second device: obtaining a score of the second device in each dimension, obtaining the first content The score of the content in each dimension; according to the score of the second device in each dimension and the score of the first content in each dimension, determine the degree of matching between the second device and the first content; wherein, each dimension is based on the degree of matching between the impact device and the service of different factors.
  • the processing unit determines the matching degree between the second device and the first content according to the score of the second device in each dimension and the score of the first content in each dimension, which may include: generating a score of the second device according to the score of the second device in each dimension. a device scoring model, generating a content scoring model of the first content according to the scoring of the first content in each dimension; obtaining the degree of overlap between the device scoring model and the content scoring model; determining the degree of matching between the second device and the first content according to the degree of overlap; Wherein, the higher the degree of coincidence between the device scoring model and the content scoring model, the higher the matching degree of the corresponding second device and the first content.
  • the scores of different contents in each dimension may be pre-stored in the first device.
  • the degree of matching between each element included in the interface and each second device in the at least one second device may be respectively based on to make device recommendations.
  • the content of the first service includes a first interface, and the first interface includes a first element (such as a manipulation element) and a second element (such as a display element);
  • the matching degree of a service, displaying the device identification of the at least one second device may include: performing device recommendation according to the matching degree between the first element and each second device in the at least one second device, and the matching between the second device and the first element The higher the degree, the higher the recommendation priority of the second device; if the first device displays the recommendation list 1', in the recommendation list 1', the higher the matching degree with the first element, the higher the ranking of the device identification of the second device.
  • Device recommendation is made according to the degree of matching between the second element and each of the second devices in the at least one second device. The higher the degree of matching between the second device and the second element, the higher the recommendation priority of the second device; as shown by the first device In the recommendation list 2', in the recommendation list 2', the device identifier of the second device with a higher degree of matching with the second element is ranked higher.
  • the processing unit is further configured to determine the degree of matching between each second device in the at least one second device and an element (eg, the first element) in the interface.
  • the processing unit determining the degree of matching between each second device in the at least one second device and the first element may include: for each second device in the at least one second device: obtaining a score of the second device in each dimension, obtaining the first element The score of the element in each dimension; according to the score of the second device in each dimension and the score of the first element in each dimension, the matching degree of the second device and the first element is determined; wherein, each dimension is based on the matching degree of the influence device and the element of different factors.
  • the processing unit determines 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, which may include: generating a score of the second device according to the score of the second device in each dimension. equipment scoring model, generating an element scoring model of the first element according to the scoring of the first element in each dimension; obtaining the coincidence degree of the equipment scoring model and the element scoring model; according to the coincidence degree, determining the matching degree of the second device and the first element; The higher the degree of coincidence between the device scoring model and the element scoring model, the higher the matching degree of the corresponding second device and the first element.
  • the scores of different elements in each dimension may be pre-stored in the first device.
  • the processing unit determining that the first service needs to be distributed to other devices may include: receiving an operation of distributing the first service; wherein the operation of distributing the first service is to trigger the first device to wirelessly cast screen operation, or, the operation of distributing the first service is a cross-device drag operation; or, it is determined that the current scene satisfies the service distribution condition.
  • a third aspect of the present application provides an apparatus for recommending equipment, including: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to cause the apparatus for recommending equipment to implement the first aspect or The method described in any one of the possible implementation manners of the first aspect.
  • a fourth aspect of the present application provides a computer-readable storage medium on which computer program instructions are stored, and when the computer program instructions are executed by an electronic device (such as the above-mentioned first device), the electronic device can implement the first aspect or the first The method of any one of possible implementations of the aspect.
  • a fifth aspect of the present application provides an electronic device (such as the above-mentioned first device), the electronic device includes a display screen, one or more processors and a memory; the display screen, the processor and the memory are coupled; the memory is used to store a computer Program code, the computer program code includes computer instructions which, when executed by an electronic device, cause the electronic device to perform the method according to the first aspect or any of the possible implementations of the first aspect.
  • a sixth aspect of the present application provides a computer program product, comprising computer-readable codes, or a non-volatile computer-readable storage medium carrying computer-readable codes, when the computer-readable codes are stored in an electronic device (such as When running in the above-mentioned first device), the processor in the electronic device executes the method described in the first aspect or any one of the possible implementation manners of the first aspect.
  • the device recommending apparatus described in the second aspect and any possible implementation manner thereof the device recommending apparatus described in the third aspect, the computer-readable storage medium described in the fourth aspect, the fifth
  • the beneficial effects that can be achieved by the electronic device described in the first aspect and the computer program product described in the sixth aspect reference may be made to the beneficial effects in the first aspect and any possible implementation manners thereof, which will not be repeated here.
  • 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 a device recommendation method provided by an embodiment of the present application
  • FIG. 3 is a schematic diagram of a scenario provided by an embodiment of the present application.
  • FIG. 4 is a schematic diagram of a device scoring model provided by an embodiment of the present application.
  • FIG. 5 is a schematic diagram of a service scoring model provided by an embodiment of the present application.
  • FIG. 6 is a schematic diagram of a superimposed result of a device scoring model and a service scoring model provided by an embodiment of the present application;
  • FIG. 7 is a schematic diagram of a display interface provided by an embodiment of the present application.
  • FIG. 8 is a schematic flowchart of a device recommendation method provided by 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 another display interface provided by an embodiment of the present application.
  • FIG. 11 is a schematic diagram of the composition of an apparatus for recommending equipment according to an embodiment of the present application.
  • FIG. 12 is a schematic diagram of the composition of a chip system according to an embodiment of the present application.
  • a terminal such as terminal 1
  • the terminal 1 can determine whether the peripheral devices of the terminal 1 have been connected to it. Shows a list of recommendations.
  • the device identifiers of the terminals that have been successfully connected with the terminal 1 are prioritized, that is, the terminal 1 will preferentially recommend the terminals that have been successfully connected with the terminal 1 to the user.
  • the successful connection with the terminal 1 is based on the data generated by the user's historical behavior. The terminal that has been successfully connected may not be the target device that the user wants to distribute services this time, which leads to inaccurate recommendation ranking provided by the terminal.
  • An embodiment of the present application provides a device recommendation method, which can be applied to a process of a terminal recommending a device.
  • the terminal determines that the service distribution conditions are met, for example, after receiving an operation by the user to distribute the service of the terminal to other terminals, the terminal recommends the device based on factors that affect the matching degree between the device and the service.
  • the factors affecting the matching degree of equipment and services may include one or more of the following influencing factors: hardware configuration of equipment, service type, human factors and environmental factors.
  • the service in this embodiment may refer to a function that the terminal can be distributed and can continue to be implemented on other terminals.
  • the content of the service may include one or more of interface (or referred to as user interface, user interface, UI), audio (audio), video (video) and other content.
  • the interface can be a complete interface or an element in the interface (for example, it can be a certain element in the interface, or a combination of some elements).
  • the terminal in this 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 (personal digital assistant, PDA), a wearable device (such as a smart watch), a game console, As well as augmented reality (augmented reality, AR) ⁇ virtual reality (virtual reality, VR) devices, etc., the specific form of the terminal is not limited in this embodiment.
  • the technical solutions provided in this embodiment can be applied not only to the above-mentioned terminals (or mobile terminals), but also to other electronic devices, such as smart home devices (such as televisions, smart speakers), in-vehicle computers (or called car machine), vehicle dashboard, head up display (head up display, HUD, or head-up display) and so on.
  • smart home devices such as televisions, smart speakers
  • in-vehicle computers or called car machine
  • vehicle dashboard head up display
  • head up display head up display, HUD, or head-up display
  • the terminal is a mobile phone as an example.
  • FIG. 1 is a schematic structural diagram of a mobile phone according to an embodiment of the present application. The methods in the following embodiments can be implemented in a mobile phone having the above-mentioned hardware structure.
  • 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.
  • Antenna 2 wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, headphone jack 170D, sensor module 180, buttons 190, motor 191, indicator 192, camera 193 and display screen 194, etc.
  • the mobile phone may further include a mobile communication module 150, a subscriber identification module (subscriber identification module, SIM) card interface 195 and the like.
  • SIM subscriber identification module
  • 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, and an environmental sensor Light sensor 180L, bone conduction sensor 180M, etc.
  • the structure illustrated in this embodiment does not constitute a specific limitation on the mobile phone.
  • the cell phone may include more or fewer components than shown, or some components may be combined, or some components may be split, or a different arrangement of components.
  • the illustrated components may be implemented in hardware, software, or a combination of software and hardware.
  • the processor 110 may include one or more processing units, for example, the processor 110 may include an application processor (application processor, AP), a modem processor, a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), controller, memory, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (NPU) Wait. Wherein, different processing units may be independent devices, or may be integrated in one or more processors.
  • application processor application processor, AP
  • modem processor graphics processor
  • graphics processor graphics processor
  • ISP image signal processor
  • controller memory
  • video codec digital signal processor
  • DSP digital signal processor
  • NPU neural-network processing unit
  • the controller can be the nerve center and command center of the phone.
  • the controller can generate an operation control signal according to the instruction operation code and timing signal, and complete the control of fetching and executing instructions.
  • a memory may also be provided in the processor 110 for storing instructions and data.
  • the memory in processor 110 is cache memory. This memory may hold instructions or data that have just been used or recycled by the processor 110 . If the processor 110 needs to use the instruction or data again, it can be called directly from the memory. Repeated accesses are avoided and the latency of the processor 110 is reduced, thereby increasing the efficiency of the system.
  • the processor 110 may include one or more interfaces.
  • the interface may include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, a pulse code modulation (pulse code modulation, PCM) interface, a universal asynchronous transceiver (universal asynchronous transmitter) receiver/transmitter, UART) interface, mobile industry processor interface (MIPI), general-purpose input/output (GPIO) interface, SIM interface, and/or USB interface, etc.
  • I2C integrated circuit
  • I2S integrated circuit built-in audio
  • PCM pulse code modulation
  • PCM pulse code modulation
  • UART universal asynchronous transceiver
  • MIPI mobile industry processor interface
  • GPIO general-purpose input/output
  • SIM interface SIM interface
  • USB interface etc.
  • the charging management module 140 is used to receive charging input from the charger. While the charging management module 140 charges the battery 142 , it can also supply power to the mobile phone through the power management module 141 .
  • the power management module 141 is used for connecting the battery 142 , the charging management module 140 and the processor 110 .
  • the power management module 141 can also receive the input of the battery 142 to supply power to the mobile 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 modulation and demodulation processor, the baseband processor, and the like.
  • Antenna 1 and Antenna 2 are used to transmit and receive electromagnetic wave signals.
  • Each antenna in a cell phone can be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization.
  • the antenna 1 can be multiplexed as a diversity antenna of the wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.
  • the mobile communication module 150 can provide a wireless communication solution including 2G/3G/4G/5G etc. applied on the mobile phone.
  • the mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (LNA) and the like.
  • the mobile communication module 150 can receive electromagnetic waves from the antenna 1, filter and amplify the received electromagnetic waves, and transmit them to the modulation and demodulation processor for demodulation.
  • the mobile communication module 150 can also amplify the signal modulated by the modulation and demodulation processor, and then turn it into an electromagnetic wave for radiation through the antenna 1 .
  • at least part of the functional modules of the mobile communication module 150 may be provided in the processor 110 .
  • at least part of the functional modules of the mobile communication module 150 may be provided in the same device as at least part of the modules of the processor 110 .
  • the modem processor may include a modulator and a demodulator.
  • the modulator is used to modulate the low frequency baseband signal to be sent into a medium and high frequency signal.
  • the demodulator is used to demodulate the received electromagnetic wave signal into a low frequency baseband signal. Then the demodulator transmits the demodulated low-frequency baseband signal to the baseband processor for processing.
  • the low frequency baseband signal is processed by the baseband processor and passed to the application processor.
  • the application processor outputs sound signals through audio devices (not limited to the speaker 170A, the receiver 170B, etc.), or displays images or videos through the display screen 194 .
  • the modem processor may be a stand-alone device.
  • the modem processor may be independent of the processor 110, and may be provided in the same device as the mobile communication module 150 or other functional modules.
  • the wireless communication module 160 can provide applications on the mobile phone including wireless local area networks (WLAN) (such as Wi-Fi networks), bluetooth (BT), global navigation satellite system (GNSS), Solutions for wireless communication such as frequency modulation (FM), NFC, infrared technology (infrared, IR).
  • WLAN wireless local area networks
  • BT Bluetooth
  • GNSS global navigation satellite system
  • FM frequency modulation
  • NFC infrared technology
  • IR infrared
  • 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 , frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 110 .
  • the wireless communication module 160 can also receive the signal to be sent from the processor 110 , perform frequency modulation on it, amplify it, and convert it into electromagnetic waves for radiation through the antenna 2 .
  • the antenna 1 of the mobile phone is coupled with the mobile communication module 150, and the antenna 2 is coupled with the wireless communication module 160, so that the mobile phone can communicate with the network and other devices through wireless communication technology.
  • the wireless communication technology may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (CDMA), broadband Code Division Multiple Access (WCDMA), Time Division Code Division Multiple Access (TD-SCDMA), Long Term Evolution (LTE), BT, GNSS, WLAN, NFC , FM, and/or IR technology, etc.
  • the GNSS may include global positioning system (global positioning system, GPS), global navigation satellite system (global navigation satellite system, GLONASS), Beidou navigation satellite system (beidou navigation satellite system, BDS), quasi-zenith satellite system (quasi -zenith satellite system, QZSS) and/or satellite based augmentation systems (SBAS).
  • global positioning system global positioning system, GPS
  • global navigation satellite system global navigation satellite system, GLONASS
  • Beidou navigation satellite system beidou navigation satellite system, BDS
  • quasi-zenith satellite system quadsi -zenith satellite system, QZSS
  • SBAS satellite based augmentation systems
  • the mobile phone realizes the display function through the GPU, the display screen 194, and the application processor.
  • the GPU is a microprocessor for image processing, and is connected to the display screen 194 and the application processor.
  • Processor 110 may include one or more GPUs that execute program instructions to generate or alter display information.
  • Display screen 194 is used to display images, videos, and the like.
  • Display screen 194 includes a display panel.
  • the display panel can be a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode or an active-matrix organic light-emitting diode (active-matrix organic light).
  • LED diode AMOLED
  • flexible light-emitting diode flexible light-emitting diode (flex light-emitting diode, FLED), Miniled, MicroLed, Micro-oLed, quantum dot light-emitting diode (quantum dot light emitting diodes, QLED) and so on.
  • the handset may include 1 or N display screens 194, where N is a positive integer greater than 1.
  • the mobile phone can realize the shooting function through the ISP, the camera 193, the video codec, the GPU, the display screen 194 and the application processor.
  • the mobile phone may include 1 or N cameras 193 , where N is a positive integer greater than 1.
  • the external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the mobile phone.
  • the external memory card communicates with the processor 110 through the external memory interface 120 to realize the data storage function. For example to save files like music, video etc in external memory card.
  • Internal memory 121 may be used to store computer executable program code, which includes instructions.
  • the processor 110 executes various functional applications and data processing of the mobile phone by executing the instructions stored in the internal memory 121 .
  • the internal memory 121 may include a storage program area and a storage data area.
  • the storage program area can store an operating system, an application program required for at least one function (such as a sound playback function, an image playback function, etc.), and the like.
  • the storage data area can store data (such as audio data, phone book, etc.) created during the use of the mobile phone.
  • the internal memory 121 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash storage (UFS), and the like.
  • the mobile phone can implement audio functions through an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, and an application processor. Such as music playback, recording, etc.
  • the pressure sensor 180A is used to sense pressure signals, and can convert the pressure signals into electrical signals.
  • the pressure sensor 180A may be provided on the display screen 194 .
  • the gyroscope sensor 180B can be used to determine the motion attitude of the mobile phone.
  • the air pressure sensor 180C is used to measure air pressure.
  • the magnetic sensor 180D includes a Hall sensor.
  • the mobile phone can use the magnetic sensor 180D to detect the opening and closing of the flip holster.
  • the acceleration sensor 180E can detect the magnitude of the acceleration of the mobile phone in various directions (generally three axes).
  • Distance sensor 180F for measuring distance.
  • the mobile phone can use the proximity light sensor 180G to detect the user holding the mobile phone close to the ear to talk, so as to automatically turn off the screen to save power.
  • Proximity light sensor 180G can also be used in holster mode, pocket mode automatically unlocks and locks the screen.
  • the ambient light sensor 180L is used to sense ambient light brightness.
  • the fingerprint sensor 180H is used to collect fingerprints. The mobile phone can use the collected fingerprint characteristics to unlock the fingerprint, access the application lock, take a picture with the fingerprint, answer the incoming call with the fingerprint, etc.
  • Touch sensor 180K also called “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, also called a “touch screen”.
  • the touch sensor 180K is used to detect a touch operation on or near it.
  • the touch sensor can pass the detected touch operation to the application processor to determine the type of touch event.
  • Visual output related to touch operations may be provided through display screen 194 .
  • the touch sensor 180K may also be disposed on the surface of the mobile phone, which is different from the location where the display screen 194 is located.
  • the bone conduction sensor 180M can acquire vibration signals.
  • the keys 190 include a power-on key, a volume key, and the like. Keys 190 may be mechanical keys. It can also be a touch key.
  • Motor 191 can generate vibrating cues. The motor 191 can be used for vibrating alerts for incoming calls, and can also be used for touch vibration feedback.
  • the indicator 192 can be an indicator light, which can be used to indicate the charging state, the change of the power, and can also be used to indicate a message, a missed call, a notification, and the like.
  • the SIM card interface 195 is used to connect a SIM card.
  • the SIM card can be inserted into the SIM card interface 195 or pulled out from the SIM card interface 195 to achieve contact and separation with the mobile phone.
  • the mobile phone can support 1 or N SIM card interfaces, where N is a positive integer greater than 1.
  • the mobile phone interacts with the network through the SIM card to realize functions such as calls and data communication.
  • the handset employs an eSIM, ie: an embedded SIM card.
  • the eSIM card can be embedded in the mobile phone and cannot be separated from the mobile phone.
  • FIG. 2 is a schematic flowchart of a device recommendation method provided by an embodiment of the present application. As shown in Figure 2, the method may include:
  • the first terminal acquires one or more devices to be recommended when it is determined that a service distribution event occurs.
  • the service may refer to a function that can be distributed by the terminal and can continue to be implemented on other terminals.
  • the content of the service may include one or more of contents such as interface (UI), audio (audio), and video (video).
  • An interface can be a complete interface or an element within an interface. That is to say, the service may be an interface displayed by the terminal, or music, movies, short videos, etc. played by the terminal.
  • the above-mentioned service distribution event is used to trigger the first terminal to recommend to the user devices to which the service currently running by the first terminal can be distributed.
  • the first terminal may be the first device in this embodiment of the application.
  • the service distribution event may be automatically triggered by the first terminal.
  • the first terminal may determine whether the current scene satisfies the service distribution condition.
  • a service distribution event may be generated.
  • the first terminal is the mobile phone 301 as an example.
  • the user's home is equipped with household equipment such as a TV 302 and a smart speaker 303 .
  • the mobile phone 301 can determine that the current scene satisfies the service distribution conditions when it detects that the user's current location is the user's home, and the mobile phone 301 can generate a service distribution event.
  • the mobile phone 301 can use the antenna and the mobile communication module of the mobile phone 301 to communicate with the network through GPS to obtain the current location of the mobile phone 301, and the current location of the mobile phone 301 can be regarded as the current location of the user.
  • the current location of the user may also be obtained in other ways, which is not specifically limited in this embodiment.
  • the first terminal is a mobile phone.
  • the user's vehicle is equipped with a car machine, a HUD, and the like.
  • the mobile phone can determine that the current user is driving a vehicle when it detects that the current motion speed of the user is greater than a preset threshold, that is, determine that the current scene satisfies the service distribution conditions, and the mobile phone can generate a service distribution event.
  • the mobile phone can use the acceleration sensor of the mobile phone to detect the acceleration of the mobile phone. According to the detected acceleration, the mobile phone can determine the current motion speed of the mobile phone, and the current motion speed of the mobile phone can be regarded as the current motion speed of the user.
  • the current motion speed of the user may also be obtained in other ways, which is not specifically limited in this embodiment.
  • service distribution events may also be user-triggered.
  • the first terminal when the first terminal runs a certain service, the first terminal may generate a service distribution event when receiving a user operation used by the user to trigger service distribution.
  • the above-mentioned user operation may be a drag operation across devices.
  • the first terminal being a mobile phone as an example.
  • the mobile phone receives the cross-device drag operation input by the user, and the mobile phone can generate a service distribution event.
  • the cross-device drag operation may be a user's pressing operation and moving operation on an object displayed on the mobile phone (such as the above-mentioned played video or audio, or a browsing interface).
  • the object may be an application window, a freeform widget, a dynamic widget, a video component, a floating window, a picture-in-picture, a widget, a UI control and other UI elements.
  • the above-mentioned user operation may be a user operation that triggers the wireless screen projection of the first terminal.
  • the first terminal being a mobile phone as an example.
  • the mobile phone can generate a service distribution event when the mobile phone receives a user operation input by the user for triggering wireless screen projection.
  • the above-mentioned user operation triggering the wireless screen projection may be the user's operation of enabling the screen projection service function of the mobile phone, or it may be that after the screen projection service function of the mobile phone is enabled, the mobile phone and other terminals are established.
  • the user selects the confirmation button in the connection confirmation interface, etc.
  • the first terminal When the first terminal is currently running a certain service (eg, displaying an interface, or playing video or audio), after determining that a service distribution event is generated, the first terminal may acquire one or more devices to be recommended.
  • a certain service eg, displaying an interface, or playing video or audio
  • 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 this embodiment of the application.
  • 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 a connectable range of the first terminal.
  • the mobile phone can use the positioning technology to obtain the device that is not connected to the first terminal but is within a connectable range from the first terminal.
  • the positioning technology may be a positioning technology such as Bluetooth, Ultra-wideband (UWB), and ultrasound.
  • the execution of the first terminal acquiring the device to be recommended and determining the generation of the service distribution event may not be limited in sequence.
  • the first terminal may also obtain the device to be recommended first, and then execute the following S202 after determining that the service distribution event is generated.
  • 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 that will be distributed to other terminals for continuous implementation.
  • the service to be distributed is the service currently running by the first terminal.
  • the first terminal may select a service from the currently running multiple services as the service to be distributed, and The device to be recommended is matched.
  • the first terminal may also use the multiple services as the services to be distributed, and respectively match the devices to be recommended.
  • the service to be distributed may be the first service in this embodiment of the present application.
  • the implementation of the first terminal selecting a service from the multiple services currently running as the service to be distributed may be: the first terminal may arbitrarily select a service from the multiple running services as the service to be distributed, or the first terminal may select a service to be distributed according to the current A service to be distributed is selected from a plurality of services in a specific scenario and/or the acquired device to be recommended. For example, the music service and the mail reply service are currently running.
  • the first terminal can determine the acquired to-be-recommended When the device includes a speaker, the service of music is determined as the service to be distributed, and when it is determined that the acquired device to be recommended includes a computer, the service of email reply can be determined as the service to be distributed. If the device to be recommended includes both a speaker and a computer, the first terminal may determine both services of music and email reply as services to be distributed. For another example, the music service and the mail reply service are currently running. Considering that when driving a vehicle, the user usually wants to implement the music service on the vehicle. Therefore, after the service distribution event occurs, if the first terminal determines that the user The current motion speed is greater than the preset threshold, that is, it is determined that the current user is driving the vehicle, and the first terminal may determine the service of music as the service to be distributed.
  • the first terminal After the first terminal acquires one or more devices to be recommended and determines the services to be distributed, the first terminal may determine the degree of matching between the acquired devices to be recommended and the services to be distributed.
  • the specific implementation of determining the matching degree between each device to be recommended and the service to be distributed by the first terminal may be: the first terminal determines the matching degree between each device to be recommended and the service to be distributed based on factors affecting the matching degree between the device and the service. The service is scored and the scoring result is obtained. Afterwards, according to the scoring result of each device to be recommended and the scoring result of the service to be distributed, the first terminal may determine the matching degree of each device to be recommended and the service to be distributed.
  • 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.
  • the scoring result of the device to be recommended given in the form of a scoring model is called a device scoring model
  • the scoring result of the service to be distributed given in the form of a scoring model is called a service Scoring model.
  • the first terminal may determine the degree of matching between the device to be recommended and the service to be distributed according to the degree of coincidence between the device scoring model and the service scoring model. For example, the higher the degree of coincidence between the device scoring model and the service scoring model, the higher the matching degree between the device to be recommended and the service to be distributed is.
  • the factors affecting the matching degree of equipment and services may include one or more of the following influencing factors: hardware configuration of equipment, service type, human factors and environmental factors.
  • each of the above-mentioned influencing elements may include one or more of the following dimensions.
  • the service type may include one or more of the dimensions of interaction complexity, service quantity, task duration, interaction mode, service content form, service category, and status when using the service.
  • Environmental factors may include one or more of: environmental privacy, outdoor/indoor, environmental conditions, etc. dimensions.
  • Human factors can include: one or more of the dimensions of immersion, privacy, human state, sitting posture, etc.
  • the hardware configuration of the device may include one or more of: screen size, display quality, supported interaction methods, audio and video quality, mobility/portability and other dimensions.
  • the interaction complexity can be considered from two influencing factors.
  • One of the influencing factors can be the operational steps required from start to finish 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 a task corresponding to a service requires the aid of peripheral devices (eg, a keyboard, mouse, stylus, etc.), and whether multiple operations need to be switched.
  • the number of services can refer to the number of other services that can be used by users at the same time when running a service, or the number of services that support simultaneous operation.
  • the task duration may refer to the duration of a task corresponding to a service, or the time it takes to process and complete a task corresponding to a service.
  • the interaction mode may refer to touch, voice, remote control, keyboard, mouse, stylus, handle and other input methods available to complete the task corresponding to the service.
  • the content form of the service may refer to which content of a service specifically includes interface, audio, video and other content.
  • the service category may refer to the category corresponding to the service, such as audio service, video service, interface display service, and the like.
  • the state of using the service may refer to the state of the user when using the service, such as at home (leisure and relaxation), driving (need to keep a high degree of concentration), exercising outdoors, and so on.
  • environmental privacy may refer to a user's requirement for privacy in using a device or service. For example, whether it is acceptable to share the content of the service with strangers/acquaintances/family members, etc., is used to measure whether there are other people in the environment where the device or service is used, or whether there is a possibility of being violated by others in the process of using the device or service Privacy is an objective factor.
  • Outdoor/Indoor may refer to whether the current location of the user is outdoors or indoors.
  • the environmental conditions may refer to environmental conditions such as seasons, temperatures, and weather conditions at the current location of the user.
  • the degree of immersion may refer to whether the user can be disturbed by external factors (including equipment and human factors) during the process of the task corresponding to a service.
  • Privacy can refer to whether a user can accept shared services with strangers/acquaintances/family, etc., which is a subjective choice of the user.
  • the state of a person may refer to a state when using a service, such as whether the user's hands are occupied, whether the user is sitting, standing, or walking.
  • the sitting posture may refer to whether the sitting posture is casual or correct when the current state of the user is sitting.
  • the screen size may refer to the size of the display screen of the device.
  • Display quality can refer to the resolution, brightness, contrast, etc. of the device display.
  • the supported interaction mode may refer to the input mode supported by the device, such as touch screen input, mouse input, keyboard input, and the like.
  • Audio and video quality may include audio quality, and/or video quality. Audio quality can refer to the ability of a device to play audio, and this dimension can be scored in combination with the number of speakers on the device. Among them, the measurement parameters of audio quality may include sampling frequency, sound effect, loudness, and the like. Sampling frequency: generally divided into three levels: 22.05KHz (kilohertz), 44.1KHz, and 48KHz.
  • 22.05KHz can only reach the sound quality of FM radio, 44.1KHz is the theoretical limit of CD sound quality, and 48KHz has reached DVD sound quality.
  • Sound effect For example, whether to support Dolby quality panoramic sound.
  • Loudness For example, when producing audio or video, the target loudness should be -23LUFS (deviation range ⁇ 1LU), and the true peak should not exceed -1dB, which is usually referred to as -23LUFS/-1dB TP for short.
  • the device does not have a speaker and this dimension corresponds to a score of 0, and the device has a single speaker and the audio quality is generally rated as 1 for this dimension.
  • Video quality can refer to the device's ability to play video, and can be scored in combination with the device's screen resolution, color depth, color gamut, and video codec capabilities.
  • the screen resolution the common ones are 2k screen, 4K high-definition, 4KHDR screen.
  • Color depth such as 8bit (bit), or 10bit.
  • Color gamut Wide color gamut is common, and the current international standard to reach 92% NTSC color gamut is called wide color gamut (high color gamut).
  • a watch may have a rating of 0 in this dimension
  • a mobile phone may have a rating of 4 in this dimension
  • a TV may have a rating of 6 in this dimension.
  • Mobility/portability can refer to whether a device is portable or portable.
  • This embodiment exemplarily provides a comparison table of each dimension score, as shown in Table 2.
  • Table 2 it can be seen that, for the interaction complexity, if using a service (or completing a task corresponding to a service) requires simple interaction from start to finish, such as one-step operation can be completed, it can be given Give a score of 1-2. If using a service (or completing a task corresponding to a service) requires simple interaction from start to finish, such as 1-2 steps can be completed, a score of 2-3 can be given. If using a service (or completing a task corresponding to a service) requires more complex interactions from start to finish, such as text input, form filling, etc., a score of 3-4 points can be given.
  • a score of 4-5 can be given. If a service (or completion of a corresponding task of a service) needs to rely on peripherals such as keyboard and mouse, stylus and other peripherals from start to finish, and requires complex interaction of multiple operation switching to complete, a score of 5-6 points can be given. It can be seen that the higher the interaction complexity, the higher the corresponding score.
  • a score of 2-3 can be given if 1-2 services can be supported simultaneously at a time. If 2-3 services can be run at the same time at a time, or the number of users who are allowed to use other services when running one service is 1-2, a score of 3-4 can be given. If it can support 3-4 services running at the same time, or if the number of users who are allowed to use other services is 2-3 when running one service, a score of 4-5 can be given. A score of 5-6 can be given if it can support 4 or more services running at the same time, or if one service allows users to use 3 or more other services at the same time. It can be seen that the larger the number of services, the higher the corresponding score.
  • a score of 1-2 For the task duration, if the task corresponding to a service can be completed in a short time, such as viewing a short message, rejecting a call, etc., a score of 1-2 will be given. If the task corresponding to a service can be completed within five minutes, such as listening to a song, browsing a piece of news, etc., a score of 2-3 can be given. If the task corresponding to a service can be completed in about 5-10 minutes, such as filling out a questionnaire, etc., a score of 3-4 points can be given. If the task corresponding to a service can be processed in about 10-20 minutes, such as post-processing of a photo, a score of 4-5 can be given. If the task corresponding to a service can be processed in more than 30 minutes, such as document editing, report processing, watching movies, etc., a score of 5-6 points can be given. It can be seen that the longer the task duration, the higher the corresponding score.
  • a score of 1-2 is given. If a user allows content to be shared with strangers while using the device or service, a rating of 2-3 may be given. A score of 3-4 may be given if the user allows content to be shared with people they know while using the device or service. If the user allows sharing content with family and friends while using the device or service, a rating of 4-5 may be given. If the user only allows themselves to view the content while using the device or service, a rating of 5-6 may be given. It can be seen that the higher the environmental privacy, the higher the corresponding score.
  • a score of 1-2 is given. If the user allows multitasking (such as 2 or more tasks) at the same time, a score of 2-3 may be given. If the user allows 1 or 2 tasks to be processed at the same time, a rating of 3-4 may be given. If the user can handle 1 task, requires concentration, and can be interrupted, a 4-5 rating can be given. If the user needs to be very focused and is unacceptable to be interrupted, a score of 5-6 can be given. It can be seen that the higher the level of immersion, the higher the corresponding score.
  • a score of 1-2 is given. If the screen size of the device is 3-7 inches, a score of 2-3 can be given. If the screen size of the device is 7-9 inches, a score of 3-4 can be given. If the screen size of the device is 9-16 inches, a score of 4-5 can be given. If the screen size of the device is 17 inches and above, a score of 5-6 can be given. It can be seen that the larger the screen size, the higher the corresponding score.
  • the mobile phone can give 1. -6 point rating.
  • Mobile phones have no restrictions on the privacy of the environment and the degree of immersion. Therefore, the environmental factor is environmental privacy, and the human factor is the degree of immersion.
  • the scores are also 1-6 points.
  • the screen size of a mobile phone is generally 3-7 inches. Therefore, the hardware configuration is rated as 2-3 points for the screen size.
  • the scores under each dimension included in each impact element can also be obtained based on the comparison table of each dimension scoring standard shown in Table 2, for example, as shown in Table 4.
  • Table 4 shows the scores of the car, watch, mobile phone, tablet, computer, and TV in the six dimensions of interaction complexity, number of services, task duration, environmental privacy, immersion, and screen size.
  • the interaction complexity is rated 1-3
  • the number of services is rated 1-3
  • the task duration is rated 1-6
  • the environmental privacy is rated 2-6
  • the degree of immersion is rated as 1-6. Ratings are 1-6
  • screen size is rated 1-4.
  • the interaction complexity is rated 1-3
  • the number of services is rated 1-2
  • the task duration is rated 1-3
  • the privacy of the environment is rated 1-6
  • the degree of immersion is rated as 1-6.
  • Ratings are 1-2, and screen size is rated 1-2. It can be seen that each type of equipment has its own characteristics. Some devices have advantages in interaction complexity, such as tablets and computers. Some devices do not have an advantage in task duration, such as watches. Some devices have advantages in screen size, such as TVs and computers.
  • service types including interaction complexity, number of services and task duration as an example, environmental factors including environmental privacy as a dimension, human privacy as immersion as an example, and device hardware configuration as an example.
  • environmental factors including environmental privacy as a dimension, human privacy as immersion as an example, and device hardware configuration as an example.
  • the scores of different services under each dimension included in each impact factor can be obtained.
  • services can include: music, movies, games, yoga tutorials, email responses, short videos, etc. These services are only examples in this embodiment, and the actual use may not be limited thereto, for example, navigation and the like may also be included.
  • the music service For the music service, it generally only requires the user to perform a simple interaction, such as 1 step, or 1-2 steps to complete the interactive operation corresponding to the music enjoyment service. Therefore, the music service can give a score of 1-3 points under the dimension of service type as interaction complexity. Similarly, under normal circumstances, when the music service is running, other services (such as other similar services) are no longer allowed to run at the same time. Therefore, the music service can be given 1- 2 point rating.
  • the processing time of the music service for the corresponding task is generally five minutes or less. For example, for the system, the task related to the music service can be processed in five minutes or less. Therefore, the music service is completed in five minutes or less.
  • a service can be given a score of 1-3 under the dimension of service type as task duration.
  • the music service has no restrictions on the privacy of the environment. For example, it may not require privacy, or it may be allowed to share with strangers, acquaintances, family and friends, or it may only be viewed by oneself. Therefore, the music service is in the
  • the environmental factor is environmental privacy on a scale of 1-6.
  • Music is a service that does not require immersion, so the human factor scores immersion on a scale of 1-2.
  • the hardware configuration is rated for the screen size on a scale of 1-6.
  • the scores under each dimension included in each impact element can also be obtained based on the comparison table of each dimension scoring standard shown in Table 2, for example, as shown in Table 6.
  • Table 6 shows the interaction complexity, number of services, task duration, environmental privacy, immersion, and screen size of these six services. a dimension score. For example, for a movie service, the interaction complexity is rated 1-3, the number of services is rated 1-2, task duration is rated 1-6, environment privacy is rated 2-6, and immersion is rated as 1-6. Degree is rated 3-6, and screen size is rated 2-6. For another example, for the short video service, the score of interaction complexity is 1-3, the score of service quantity is 1-2, the score of task duration is 1-3, and the score of environmental privacy is 1-6. , on a scale of 1-6 for immersion and 2-6 for screen size. It can be seen that each service has its own characteristics. The interaction complexity of some services is relatively high, such as games, mail reply and other services. Some services require a higher level of immersion, such as games, email reply and other services.
  • the first terminal may Determine the degree of matching between each device to be recommended and the service to be distributed.
  • the first terminal may pre-store the scores of different types of devices under each dimension included in each influencing element, and the scores of different services under each dimension included in each influencing element. Exemplarily, continue to take the service type including three dimensions of interaction complexity, number of services and task duration, environmental factors including environment privacy as an example, human privacy including immersion as an example, and device hardware configuration including screen size as an example.
  • the first terminal may store the above Table 4 and Table 6.
  • the first terminal can determine the score of each device to be recommended under each dimension included in each influence factor, and obtain a score result.
  • the first terminal may determine the score of the service to be distributed in each dimension included in each influence factor, 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.
  • the type of the device to be recommended may be a process in which the device to be recommended is discovered by the first terminal, or 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, the device to be recommended is sent to the first terminal.
  • the type of the device to be recommended may be the type of device to be recommended that is to be recommended during the process of discovering the device to be recommended by the first terminal.
  • the recommended device is sent to the first terminal, for example, it may be sent to the first terminal by the to-be-recommended device in the process that the first terminal uses a positioning technology (eg, Bluetooth) to discover the to-be-recommended device.
  • the device to be recommended may actively report the type of the device to be recommended to the first terminal, or may be passive.
  • the implementation of passively reporting the type of the device to be recommended by the device to be recommended may be: in any of the above processes, the first terminal may first send a notification of reporting device information to the device to be recommended; after the device to be recommended receives the notification, it may send The device information of the device to be recommended, such as including the type of the device to be recommended, is reported to the first terminal. After receiving the device information (eg including the type) from the device to be recommended, the first terminal can cache the device information of the device to be recommended, which is convenient for use when determining the matching degree between the device to be recommended and the service to be distributed.
  • the first terminal may determine the scores 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 services to be distributed suitability.
  • the scoring result of the device to be recommended and the scoring result of the service to be distributed can be given in the form of a scoring model.
  • the devices to be recommended obtained in S201 include: mobile phones, watches, car devices, tablets, computers, and TVs, and the devices to be recommended are distributed.
  • the service is music for example.
  • the specific implementation of determining the degree of matching between the devices to be recommended and the services to be distributed may be as follows: the first terminal may construct a structure according to the obtained scoring results of the devices to be recommended. Scoring model for each device to be recommended.
  • the device scoring models of mobile phones, watches, car devices, tablets, computers and TVs are respectively shown.
  • the first terminal may construct a device scoring model of the watch as shown in (b) of FIG. 4 .
  • the first terminal may construct a device scoring model of the vehicle as shown in (c) in FIG. 4 .
  • the first terminal may also construct a device scoring model for a mobile phone as shown in (a) in FIG. 4 , and a device scoring model for a tablet as shown in (d) in FIG. 4 , as shown in ( The device scoring model of the computer shown in e) and the device scoring model of the TV shown in (f) of FIG. 4 .
  • a service scoring model for the service of music is shown.
  • the service is rated 1-3 for interaction complexity, 1-2 for the number of services, 1-3 for task duration, 1-6 for environmental privacy, 1-2 for immersion, and screen size.
  • the first terminal may construct a service scoring model for the music service as shown in (a) of FIG. 5 .
  • the first terminal determines the degree of coincidence with the service scoring model of the music service according to the device scoring models of the mobile phone, watch, car, tablet, computer and TV, respectively. According to the degree of coincidence between the device scoring model of each device to be recommended and the service scoring model of the music service, the first terminal may determine the matching degree between the device to be recommended and the service to be distributed.
  • the first terminal may superimpose the device scoring model of each device to be recommended and the service scoring model of the music service, respectively, and according to the superimposed result,
  • the degree of coincidence between the device scoring model of the device to be recommended and the service scoring model of the music service can be determined.
  • the higher the coincidence degree the higher the matching degree.
  • 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 music service can be sorted from high to bottom. For: tablet, car machine, mobile phone, computer, TV, watch.
  • the first terminal can determine that the matching degree of each device to be recommended and the service of music can be ranked from high to low: tablet, car device, mobile phone, computer, TV, watch.
  • the scoring comparison table given in Table 2 and the scoring given in Table 3-Table 6 are all examples. setting, which is not limited in this embodiment.
  • the service type includes three dimensions of interaction complexity, the number of services and the task duration
  • the environmental factor includes the environment privacy dimension
  • the human privacy includes the immersion degree dimension
  • the hardware configuration of the device includes the screen size as the dimension. For example, determine the scoring results of each device to be recommended and the service to be distributed.
  • the devices to be recommended and the services to be distributed may also be scored based on other dimensions in the elements that affect the matching degree of devices and services.
  • the factors affecting the matching degree of equipment and services are not limited to the service types, environmental factors, human factors and hardware configuration shown in this embodiment, and other factors may also exist; the dimensions under each factor are not limited to the table The dimension shown in 1 may also have other dimensions, which are not limited in this embodiment.
  • the scores of different types of equipment under each dimension included in each impact factor (such as Table 4), and the scores of different services under each dimension included by each impact factor (such as Table 6) are stored in the first
  • the first terminal obtains a corresponding score according to the stored corresponding scoring table, then constructs a corresponding scoring model according to the obtained scoring result, and then determines the matching degree according to the corresponding scoring model as an example. illustrated.
  • different types of device scoring models and service scoring models for different services may also be stored in the first terminal.
  • the service type includes three dimensions of interaction complexity, number of services and task duration, environmental factors include environmental privacy as a dimension, human privacy includes immersion as a dimension, device hardware configuration includes screen size as a dimension, services include music, Movies, games, yoga tutorials, email responses and short videos are examples.
  • the device scoring model shown in FIG. 4 and the service scoring model shown in FIG. 5 may be stored in the first terminal.
  • the service scoring model shown in FIG. 5 also includes the service scoring model for the movie service shown in (b) in FIG. 5 , and the service scoring model for the game service shown in (c) in FIG. 5 .
  • the service scoring model of the yoga tutorial service shown in (d) of Figure 5 the service scoring model of the mail reply service shown in (e) of Figure 5, and the service scoring model of the service shown in (f) of Figure 5
  • the first terminal can directly determine the matching degree according to the stored corresponding scoring model.
  • the scoring table or the scoring model is stored in the first terminal, and selection and setting can be made according to the needs of the actual scene.
  • the above examples are described by taking the same impact factors and dimensions as the basis for scoring different services.
  • the impact factors and/or dimensions considered Can also be different.
  • the scores of the same type of equipment under each dimension included in each influencing factor are the same, that is, the scoring results determined by the same type of equipment or the obtained equipment scoring models are the same.
  • their corresponding scores may also be different.
  • the screen size of some mobile phones is 6 inches
  • the screen size of some mobile phones is 8 inches
  • the corresponding score is 2-3 points
  • the screen size of the mobile phone is 8 inches
  • the corresponding score is 3-4 points.
  • the first terminal when determining the degree of matching between the device to be recommended and the service to be distributed, may also use a certain or some single dimension (the dimension may be the first dimension in this embodiment of the application). ) are taken into account.
  • the first terminal may determine the relationship between each device to be recommended and the service to be distributed according to the degree of coincidence between the device scoring model of each device to be recommended and the service scoring model of the music service, as well as the score of a certain or some single dimension. suitability.
  • the first terminal may weight the coincidence degree and the scores of each dimension to determine the matching degree of the device to be recommended and the service to be distributed.
  • the degree of coincidence and the weight of each dimension may be predefined and stored in the first terminal.
  • the first terminal may directly add the coincidence degree and the scores of each dimension to determine the matching degree of the device to be recommended and the service to be distributed.
  • the first terminal determines the matching degree of the device to be recommended and the service to be distributed according to the degree of coincidence, the score of dimension 1 and the score of dimension 2, the weight of the degree of coincidence is a, the weight of dimension 1 is b, and the weight of dimension 2 is The weight is c for example.
  • the first terminal may determine the score corresponding to the coincidence degree.
  • the value range of the coincidence degree is 0%-100%
  • the value range of the corresponding score is 0-10 points.
  • the coincidence degree is 0%, the corresponding score is 0, the coincidence degree is 50%, the corresponding score is 5 points, and the coincidence degree is 100%, the corresponding score is 10 points.
  • the specific calculation method is not limited in this embodiment.
  • the first terminal determines the device scoring model of the device to be recommended, if the device not only reports the device type, but also reports specific parameters of a certain dimension or dimensions, the first terminal will report the dimensions of the specific parameters.
  • the terminal may use the score corresponding to the specific parameter 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 under the dimension.
  • a device scoring model can be constructed according to the corresponding score of the device type under this dimension. For example, if the device to be recommended is a mobile phone, if the mobile phone reports its screen size, such as 8 inches, the corresponding score is 3-4 points. Referring to Table 4, a device of this type, a mobile phone, has a score of 2-3 points in the dimension of screen size.
  • the first terminal can use the specific parameters of the mobile phone in the dimension of screen size, such as 8 inches, corresponding to the score of 3-4 points and the scores of other dimensions to construct the device scoring model.
  • the device scoring model instead of building a device scoring model based on the 2-3 points of the screen size of the mobile phone type device. In this way, it can not only reflect the difference in the matching degree between different devices of the same type and services.
  • the matching degree of the devices to the service can be distinguished by scoring in a single dimension.
  • the first terminal may also perform a preliminary selection of the devices to be recommended obtained in S201 according to the specific parameters of a single dimension reported by the devices to be recommended, so as to determine which devices to be recommended need to perform S202, that is, For which devices to be recommended, the matching degree with the service to be distributed needs to be determined. For devices that fail the primary selection, S202 may not be executed. For example, if the service to be distributed is music, a device with a corresponding score of audio and video quality higher than a threshold can be used to continue to implement the service. Therefore, after acquiring the devices to be recommended, the first terminal may determine which audio and video quality corresponding scores of the devices to be recommended are greater than the threshold according to the specific parameters of the audio and video quality reported by each recommended device.
  • S202 For the devices to be recommended whose corresponding scores of audio and video quality are greater than the threshold, perform S202. For the device to be recommended whose corresponding score of audio and video quality is less than the threshold, S202 is not performed. It is also possible to directly determine whether S202 needs to be performed according to a specific parameter of a single dimension.
  • the above single dimension used for calculating the matching degree or for the primary selection may be any dimension in the influencing factors shown in Table 1.
  • the scores corresponding to each dimension may be pre-stored in the first terminal, which is similar to the comparison table of each dimension scoring standard shown in Table 2.
  • the specific parameters of each dimension of each device to be recommended eg, the screen size of the device
  • 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 a specific description, reference may be made to the description of the type of the device to be recommended to be reported, which will not be described in detail here.
  • the specific parameters of which dimensions need to be reported by the device to be recommended may be pre-defined or indicated by the first terminal. For example, the notification of reporting device information indicates the specific parameters of which dimensions need to be reported. This embodiment does not here make specific restrictions.
  • the content of the service may be an interface
  • the specific content that the user wants to distribute may be a complete interface or elements in the interface.
  • the elements in the interface can be divided into display-type elements, manipulation-type elements, and the like.
  • Display elements may include one or more of the following: pictures, videos, texts, icons, and banners.
  • Manipulation elements can include one or more of the following: buttons, progress sliders, and toolbars.
  • the influencing factors factors that affect the matching degree of equipment and elements
  • display elements have higher requirements on the size of the device screen
  • manipulation elements have higher requirements on the interaction complexity supported by the device.
  • the specific implementation of determining the matching degree between the service and the device to be recommended by the first terminal may be: determining the content of the service, that is, each element in the interface (such as the embodiment of the present application).
  • the matching degree between the first element and the second element) and the device to be recommended so that the device can be recommended based on this.
  • the first terminal may display the 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 specific implementation of determining the degree of matching between each element and the device to be recommended may be: the first terminal may pre-store the scores of different elements in each dimension included in each influencing element. The first terminal can obtain the scoring result of each element according to the corresponding scoring table and the elements to be distributed, and then determine a scoring model, such as an element scoring model. According to the element scoring model and the device scoring model, the first terminal may determine the degree of matching between each element and the device 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 will not be described in detail here. Similarly, if the service that the user wants to distribute includes multiple contents, such as two or three of interface elements, audio, and video, the matching degree between the contents and the device to be recommended can also be determined, so as to use this as the According to the equipment recommendation.
  • S203 The first terminal performs device recommendation according to the matching degree of each device to be recommended and the service to be distributed, and the higher the matching degree is, the higher the recommendation priority of the device to be recommended is.
  • the first terminal may perform device recommendation according to the matching degree.
  • the first terminal displays the device identifier of each device to be recommended according to the degree of matching between each device to be recommended and the service to be distributed.
  • the recommendation list includes device identifiers of devices to be recommended.
  • a device to be recommended that has a higher degree of matching with the service to be distributed has a higher recommendation priority.
  • the device identifier of a device to be recommended that has a higher degree of matching with the service to be distributed is ranked higher in the recommendation list.
  • the device identifier of the device to be recommended that has a higher degree of matching with the service to be distributed is highlighted in a darker color in the recommendation list.
  • the first terminal displays the music details interface, and the first terminal is a mobile phone (such as mobile phone 1 ).
  • the devices to be recommended obtained by the mobile phone 1 include a computer, a TV, a watch, a mobile phone 2 and a tablet as an example.
  • the mobile phone 1 can display a recommendation list 702 on the music details interface 701 .
  • the order of recommendation priority from high to low is the device ID 703 of the tablet, the device ID 704 of the mobile phone (such as mobile phone 2), the device ID 705 of the computer, the device ID 706 of the TV, and the device ID of the watch. 707.
  • the recommendation priority may be the ranking of the device identifiers of the devices to be recommended in the recommendation list, for example, the higher the ranking in the recommendation list, the higher the recommendation priority (as shown in FIG. 7 ), that is, , the higher the matching degree, the higher the ranking.
  • the recommendation priority may also be the background color of the device identifier of the device to be recommended in the recommendation list.
  • the device identification may include the icon and/or name of the device, which is shown in FIG. 7 by taking the device identification including the icon and the name of the device as an example.
  • the above description takes the device recommendation based on the matching degree between the device to be recommended and the service to be distributed as an example for description.
  • the matching between the device to be recommended and the service to be distributed may also be taken into consideration when recommending the device. degree, and whether the device to be recommended has been successfully connected to the first terminal. For example, when displaying the recommendation list, the device identifiers of the devices to be recommended are sorted according to the matching degree.
  • a visual reminder can be provided, such as highlighting or ranking first.
  • the first terminal firstly selects the devices to be recommended obtained in S201 according to the specific parameters of the single dimension reported by the devices to be recommended, and only selects the devices that have passed the primary selection.
  • the first terminal may not display the device identifier of the device to be recommended that has not passed the primary selection, or may display the device identification of the device to be recommended that has not passed the primary selection.
  • the device identification of the recommended device is displayed at the end, or the background color is set to the lightest, which is not specifically limited in this embodiment.
  • the first terminal may perform the above matching process for each service to be distributed.
  • the first terminal may display the recommended list of each service to be distributed on the screen, and mark the service to be distributed corresponding to each recommended list for the user to view.
  • the first terminal receives a selection operation for the device identifier in the recommendation list.
  • the first terminal In response to the selection operation in S204, the first terminal distributes the service to be distributed to the device corresponding to the device identifier.
  • the user can know the current service, or the devices to which the service to be distributed can be distributed, according to the recommendation list, or the recommendation priority of each device according to the device identifiers sorted in the recommendation list.
  • the user can select the device to which the service needs to be distributed from the recommendation list according to his own needs and recommendation priority. For example, the user can select the device ID of the device he wants to select in the recommendation list, such as a click operation.
  • the first terminal may receive the corresponding selection operation. After receiving the selection operation for the device identifier in the recommendation list, as a response to the selection operation, the first terminal may distribute the service to be distributed to the device corresponding to the device identifier selected by the user.
  • the content of the service may include one or more of interface, audio, video and other content.
  • the first terminal may acquire the data of the interface, and send the data of the interface to the device corresponding to the device identifier selected by the user.
  • the device may display a corresponding interface on the display screen of the device according to the received data, that is, display the interface of the first terminal on the device corresponding to the device identifier selected by the user.
  • a distributed multimedia protocol may be used to implement the display (or screen projection display) of the interface of the first terminal on the device corresponding to the device identifier selected by the user.
  • DMP distributed Multi-media Protocol
  • the first terminal may create a virtual display (VirtualDisplay). After that, the first terminal draws the interface of the first terminal into the VirtualDisplay, so that the first terminal obtains data of the interface of the first terminal, such as screen recording data.
  • the first terminal may encode the screen recording data and send it to the device corresponding to the device identifier selected by the user.
  • the device can receive corresponding data, and after decoding the data, screen recording data can be obtained, and display of the interface of the first terminal on the device can be realized according to the screen recording data.
  • wireless projection can also be used to realize the 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 can obtain the information of the interface of the first terminal. All layers, and then all the obtained layers are integrated into a video stream, encoded and sent to the device corresponding to the device identifier selected by the user through the real time streaming protocol (RTSP) protocol. After receiving the video stream, the device can decode and play it, so as to realize the screen projection display of the interface of the first terminal on the device.
  • RTSP real time streaming protocol
  • the first terminal may obtain an instruction stream after performing instruction extraction on the interface of the first terminal, and acquire layer information of the interface, etc., and then send the instruction stream and layer information to the device corresponding to the device identifier selected by the user, It is used to restore the interface of the first terminal, so as to realize the screen projection display of the interface of the first terminal on the device.
  • the first terminal may acquire the audio data, and send the audio data to the device corresponding to the device identifier selected by the user.
  • the device can play corresponding audio through the device according to the received data.
  • the first terminal may create an audio recording (AudioRecord) object in advance, and create a buffer (buffer).
  • the first terminal may call the AudioRecord object.
  • AudioRecord object After the AudioRecord object is called, audio data in the first terminal may be recorded to obtain audio data, and the audio data will be stored in the created buffer.
  • the first terminal may obtain audio data from the buffer, and send the audio data to the device corresponding to the device identifier selected by the user.
  • the first terminal may acquire the data of the video, and send the data of the video to the device corresponding to the device identifier selected by the user. According to the received data, the device can play the corresponding video through the device.
  • the acquisition process of the video data is similar to the acquisition method of the screen recording data in the above description of realizing the display of the interface of the first terminal on other devices, and will not be described in detail here.
  • the first terminal can obtain the identifiers of these elements and the data of the interface (such as the instruction stream), and send the identifiers of the elements and the instruction stream of the interface to the user.
  • the selected device identifies the corresponding device.
  • the device can display the corresponding element on the display screen of the device according to the received element identifier and the instruction stream of the interface.
  • the device can extract a canvas instruction corresponding to the element from the instruction stream of the interface according to the identifier of the element, so as to realize the display of the element on the display screen of the device according to the canvas instruction.
  • the device to be recommended acquired by the first terminal may be a device connected to the first terminal, or a device not connected to the first terminal but within a connectable range of the first terminal. If 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 the connectable range of the first terminal, before distributing the service to the device, The first terminal also needs to establish a connection with the device.
  • the first terminal may establish a connection with the device in a wired manner, such as establishing a wired connection with the device through a data line.
  • 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 (internet protocol, IP) address, a port number, or an account logged in by the device, and the like.
  • IP internet protocol
  • the account logged in by the device can be an account provided by the operator for the user, such as a Huawei account.
  • the account logged in by the device may also be an application account, such as a WeChat TM account, a Youku TM account, and the like.
  • the transmission capability of the device may be near-field communication capability or long-distance communication capability. That is to say, between devices, for example, a wireless communication protocol adopted by the first terminal to establish a connection with other devices may be, for example, a wireless fidelity (Wi-Fi) protocol, a Bluetooth (Bluetooth) protocol, a ZigBee protocol, a short-range wireless communication
  • Wi-Fi wireless fidelity
  • Bluetooth Bluetooth
  • ZigBee ZigBee protocol
  • a near field communication protocol such as a (near field communication, NFC) protocol may also be a cellular network protocol.
  • the connection information required for the connection may be exchanged by the first terminal in the process of discovering the device.
  • the wireless communication protocol used by the first terminal to discover the device and the wireless communication coordination used to establish a connection with the device may be the same or different.
  • the first terminal discovers the device 1 by using the Bluetooth protocol, and can also establish a connection with the device 1 by using the Bluetooth protocol, and can also establish a connection with the device 1 by using other wireless communication protocols, such as the Wi-Fi protocol, which is not described in this embodiment. make specific restrictions.
  • the first terminal is a mobile phone 301 , a TV 302 and a smart speaker 303 are provided in the user's home.
  • the user can turn on the Bluetooth function of the mobile phone 301 .
  • the mobile phone 301 can enable Bluetooth broadcast monitoring (S801 in FIG. 8 ).
  • the TV set 302 can send a Bluetooth broadcast, such as a Bluetooth broadcast 1 (S802 in FIG. 8 ).
  • the mobile phone 301 can receive the Bluetooth broadcast 1, so as to determine that the television 302 is in proximity, or in other words, to determine that the television 302 is within a connectable range.
  • the mobile phone 301 can send a notification message for reporting the device information to the TV 302, such as a notification message 1 (S803 in FIG. 8).
  • the TV 302 can send its own device information, such as device information 1, to the mobile phone 301 (S804 in FIG. 8).
  • the device information 1 may include the device type of the television 302 .
  • the device information 1 may further include connection information of the television set 302 , such as the IP address of the television set 302 .
  • the mobile phone 301 can cache the device information 1 of the television 302 (S805 in FIG. 8).
  • a Bluetooth broadcast such as called Bluetooth broadcast 2 (S806 in FIG. 8 )
  • the mobile phone 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 a connectable range.
  • the mobile phone 301 may send a notification message for reporting device information to the smart speaker 303, such as a notification message 2 (S807 in FIG. 8).
  • the smart speaker 303 can send its own device information, such as device information 2, to the mobile phone 301 (S808 in FIG. 8).
  • the device information 2 may include the device type of the smart speaker 303 .
  • the device information 2 may also include connection information of the smart speaker 303 , such as the IP address of the smart speaker 303 .
  • the mobile phone 301 can cache the device information 2 of the smart speaker 303 (S809 in FIG. 8).
  • the user uses the mobile phone 301 to play a movie (the movie is a service to be distributed).
  • the mobile phone 301 detects that the current location of the user is the user's home, and can determine that the current scene satisfies the service distribution condition (S810 in FIG. 8 ).
  • the mobile phone 301 can determine the degree of matching between the TV 302 and the smart speaker 303 and the movie service according to the stored device information 1 and device information 2 respectively (S811 in FIG. 8 ). For example, the mobile phone 301 determines the TV's score in six dimensions, including interaction complexity, service quantity, task duration, environmental privacy, immersion, and screen size, according to the device type included in device information 1, and obtains score result 1.
  • the mobile phone 301 determines the speaker's score in six dimensions, including interaction complexity, service quantity, task duration, environmental privacy, immersion, and screen size, and obtains score result 2.
  • the mobile phone 301 determines the score of the movie service in the six dimensions of interaction complexity, number of services, task duration, environmental privacy, immersion, and screen size, and obtains a score result 3.
  • the mobile phone 301 constructs a device rating model for the TV 302 based on the rating result 1, constructs a device rating model for the smart speaker 303 based on the rating result 2, and constructs a service rating model for the movie service based on the rating result 3.
  • the mobile phone 301 determines the matching degree 1 between the TV 302 and the movie service according to the device scoring model of the TV 302 and the service scoring model of the movie service, and according to the device scoring model of the smart speaker 303 and the service scoring model of the movie service Determine the matching degree 2 of the smart speaker 303 and the movie service. For example, matching degree 1 is greater than matching degree 2.
  • the mobile phone 301 displays the recommendation list according to the determined matching degree (S812 in FIG. 8 ).
  • a play interface 901 is displayed, and the mobile phone 301 can display a recommendation list 902 on the play interface 901 .
  • the order of recommendation priority from high to low is the device identifier 903 of the television 302 and the device identifier 904 of the smart speaker 303 . If the mobile phone 301 receives the user's selection operation on the device identifier 902 of the TV set 302, the movie played by the mobile phone 301 can be distributed to the TV set 302 to continue playing (S813 in FIG. 8).
  • the movie played by the mobile phone 301 includes audio and an interface (or picture).
  • the mobile phone 301 can also determine the matching degree of the audio with the TV 302 and the smart speaker 303, and determine the matching degree of the interface with the TV 302 and the smart speaker 303, respectively. For audio, if the matching degree of the smart speaker 303 is greater than that of the TV 302, for the interface, it can be determined that the smart speaker 303 does not have a specific display function through a preliminary selection, and the TV 302 can be considered to have the highest matching degree. As shown in FIG. 10 , the mobile phone 301 can display the recommendation list 1002 on the play interface 1001 .
  • the recommendation priority for audio is the device ID 1004 of the smart speaker 303 and the device ID 1003 of the TV 302; the recommendation for the interface is the device ID 1003 of the TV 302. If the mobile phone 301 receives the selection operation of the device identifier 1003 of the TV set 302 in the user's recommendation for the interface, the interface of the movie played by the mobile phone 301 can be distributed to the TV set 302 to continue playing; the mobile phone 301 receives the user's request for audio By selecting the device identifier 1004 of the smart speaker 303 in the recommendation, the audio of the movie played by the mobile phone 301 can be distributed to the smart speaker 303 to continue playing.
  • the first terminal is the mobile phone 1 as an example.
  • the user's vehicle is equipped with a car machine, a HUD, and the like.
  • the user uses the mobile phone 1 to navigate.
  • the mobile phone 1 determines that the current user is driving the vehicle, that is, determines that the current scene satisfies the service distribution condition.
  • the mobile phone 1 can obtain the devices to be recommended within the connectable range.
  • the devices to be recommended that are obtained by the mobile phone 1 include: the mobile phone 2, the car and the HUD.
  • the mobile phone 1 can respectively determine the matching degree of the mobile phone 2, the car and the HUD with the navigation.
  • mobile phone 1 determines that the matching degree with navigation is in descending order: vehicle, mobile phone 2, and HUD. Then the mobile phone 1 can display a recommendation list. In the recommendation list, the recommendation priority of the vehicle is higher than the recommendation priority of the mobile phone 2, and the recommendation priority of the mobile phone 2 is higher than the recommendation priority of the HUD. Alternatively, the mobile phone 1 can also perform device recommendation according to the content in the navigation or the degree of matching between each element in the navigation interface and the device.
  • the first terminal is a mobile phone.
  • the mobile phone receives the cross-device drag operation input by the user.
  • the mobile phone 1 can obtain the devices to be recommended within the connectable range, and perform device recommendation by determining the matching degree between the devices to be recommended and the service (specifically, the dragged object).
  • this embodiment provides an example of recommendation ranking for different services and different application types.
  • different services can provide a recommendation ranking suitable for the service, allowing users to more intuitively see or know that the current service is suitable for distribution.
  • Table 7 shows the weight ordering of the dimensions corresponding to different applications and different service contents. The weights can be set for the corresponding dimensions according to the weight ordering, so as to be used when determining the matching degree between the service and the device. Before distributing services to other devices, the device needs to meet the distribution conditions.
  • the distribution conditions for AR/VR, headsets and watches are wearing; the distribution conditions for tablets and car devices are bright screens; the distribution conditions for TVs and computers It is running (or not sleeping or shutting down); the distribution condition of the speakers is to be powered on (or powered on).
  • the recommended rankings of devices corresponding to different applications and different services (or service contents) in Table 7 may be pre-stored in the first terminal. In this way, when there is a demand for distributed services, the corresponding relationship can be stored according to the corresponding relationship. and discovered devices, and directly perform device recommendation.
  • the terminal can score the device and service based on factors that affect the matching degree between the device and the service, such as the device's hardware configuration, service type, human factors, and environmental factors. , in order to determine the match between the device and the service based on the scoring results. Finally, device recommendation is made according to the determined matching degree. The accuracy of device recommendation sorting is improved, and the user experience is improved. In addition, the terminal can also score the elements of the interface (or the content of the service) based on the above factors, so as to determine the degree of matching between the device and the interface element (or the content of the service) according to the scoring result, and perform device recommendation based on this. Further improve the accuracy of device recommendation sorting.
  • factors that affect the matching degree between the device and the service such as the device's hardware configuration, service type, human factors, and environmental factors.
  • FIG. 11 is a schematic diagram of the composition of an apparatus for recommending equipment according to an embodiment of the present application.
  • 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 the first service, and obtain at least one second device when it is determined that the first service needs to be distributed to other devices.
  • the display unit 1102 is configured to display the device identification of at least one second device according to the degree of matching between each second device in the at least one second device and the first service; wherein, the higher the degree of matching between the second device and the first service, The device identification of the second device has a higher recommendation priority.
  • processing unit 1101 is further configured to determine the degree of matching between each second device in the at least one second device and the first service.
  • the processing unit 1101 determining the degree of matching between each second device in the at least one second device and the first service may include: for each second device in the at least one second device: obtaining a score of the second device in each dimension , obtain the score of the first service in each dimension; according to the score of the second device in each dimension and the score of the first service in each dimension, determine the matching degree of the second device and the first service; wherein, each dimension is based on the impact device Divided by different factors with service fit.
  • the processing unit 1101 determines 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, which may include: generating according to the score of the second device in each dimension For the device scoring model of the second device, generate the service scoring model of the first service according to the scores of the first service in each dimension; obtain the coincidence degree between the device scoring model and the service scoring model; and determine the second device and the first service according to the coincidence degree Wherein, the higher the coincidence degree of the device scoring model and the service scoring model, the higher the matching degree of the corresponding second device and the first service.
  • the apparatus may further include a receiving unit 1103 configured to receive device information from the second device, where the device information may include the type of the second device.
  • the processing unit 1101 acquiring the score of the second device in each dimension may include: acquiring the score of the second device in each dimension from the stored scores of different types of devices in each dimension according to the type of the second device.
  • the receiving unit 1103 is configured to receive device information from the second device, where the device information may include the type of the second device and parameters of the first dimension in each dimension.
  • the processing unit 1101 obtains the score of the second device in each dimension, which may include: according to the type of the second device, from the stored scores of different types of devices in each dimension, obtaining the second device in each dimension except the first dimension Scores of other dimensions except the first dimension; obtain the score of the second device in the first dimension from the stored scores of the first dimension under different parameters according to the parameters of the first dimension.
  • obtaining the scores of the first service in each dimension by the processing unit 1101 may include: obtaining the scores of the first service in each dimension from the stored scores of different services in each dimension.
  • the content of the first service includes one or more of interface, audio and video.
  • the device can be selected according to the degree of matching between each content included in the service and each second device in the at least one second device. recommend. If the content of the first service includes first content (such as an interface) and second content (such as audio), the display unit 1102 displays at least one second device according to the degree of matching between each second device and the first service in the at least one second device.
  • the device identification of the device may include: displaying a recommendation list 1 according to the degree of matching between the first content and each second device. In the recommendation list 1, the device identification of the second device with a higher degree of matching with the first content is ranked more closely. top; a recommendation list 2 is displayed according to the degree of matching between the second content and each second device. In the recommendation list 2, the device identifier of the second device with a higher degree of matching with the second content is ranked higher.
  • the processing unit 1101 is further configured to determine the degree of matching between each second device in the at least one second device and the content of the first service (eg, the first content).
  • the processing unit 1101 determining the degree of matching between each second device in the at least one second device and the first content may include: for each second device in the at least one second device: obtaining a score of the second device in each dimension , obtain the score of the first content in each dimension; according to the score of the second device in each dimension and the score of the first content in each dimension, determine the matching degree of the second device and the first content; wherein, each dimension is based on the influence device Divided by different factors with service fit.
  • the processing unit 1101 determines the matching degree between the second device and the first content according to the score of the second device in each dimension and the score of the first content in each dimension, which may include: generating according to the score of the second device in each dimension
  • the device scoring model of the second device generates a content scoring model of the first content according to the scores of the first content in various dimensions; obtains the degree of overlap between the device scoring model and the content scoring model; and determines the second device and the first content according to the degree of overlap
  • the higher the coincidence degree of the device scoring model and the content scoring model the higher the matching degree of the corresponding second device and the first content.
  • the scores of different contents in each dimension may be pre-stored in the first device.
  • device recommendation may be performed according to the degree of matching between each element included in the interface and each second device in the at least one second device.
  • the content of the first service includes a first interface, and the first interface includes a first element (such as a manipulation element) and a second element (such as a presentation element);
  • the matching degree of the first service, displaying the device identifier of the at least one second device may include: according to the matching degree between the first element and each second device in the at least one second device, displaying the recommendation list 1', and displaying the recommendation list 1' in the recommendation list 1' , the device identifier of the second device with a higher degree of matching with the first element is ranked higher.
  • a recommendation list 2' is displayed.
  • the higher the degree of matching with the second element the higher the ranking of the device identifiers of the second device. forward.
  • the processing unit 1101 is further configured to determine the degree of matching between each second device in the at least one second device and an element (eg, the first element) in the interface.
  • the processing unit 1101 determines the degree of matching between each second device in the at least one second device and the first element, which may include: for each second device in the at least one second device: obtaining a score of the second device in each dimension , obtain the score of the first element in each dimension; according to the score of the second device in each dimension and the score of the first element in each dimension, determine the matching degree of the second device and the first element; wherein, each dimension is based on the influence device Divided by different factors related to the degree of element matching.
  • the processing unit 1101 determines 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, which may include: generating according to the score of the second device in each dimension For the device scoring model of the second device, the element scoring model of the first element is generated according to the scores of the first element in each dimension; the degree of overlap between the device scoring model and the element scoring model is obtained; according to the degree of overlap, the second device and the first element are determined Wherein, the higher the coincidence degree of the device scoring model and the element scoring model, the higher the matching degree of the corresponding second device and the first element.
  • the scores of different elements in each dimension may be pre-stored in the first device.
  • determining by the processing unit 1101 that the first service needs to be distributed to other devices may include: receiving an operation of distributing the first service; wherein, the operation of distributing the first service is an operation of triggering wireless screen projection of the first device, or, The operation of distributing the first service is a drag operation across devices; or, it is determined that the current scene satisfies the service distribution condition.
  • An embodiment of the present application further provides an apparatus for recommending a device, and the apparatus can be applied to an electronic device, such as the first terminal or the first device in the foregoing embodiment.
  • the apparatus may include: a processor; a memory for storing instructions executable by the processor; wherein, when the processor is configured to execute the instructions, the device recommending apparatus implements each function or step performed by the first terminal in the above method embodiments.
  • This embodiment of the present application also provides an electronic device (the electronic device may be a terminal, such as the first terminal or the first device in the above-mentioned embodiment), and the electronic device may include: a display screen, a memory and one or more processor.
  • the display screen, memory and processor are coupled.
  • the memory is used to store computer program code comprising computer instructions.
  • the processor executes the computer instructions, the electronic device can execute each function or step executed by the first terminal in the foregoing method embodiment.
  • the electronic device includes but is not limited to the above-mentioned display screen, memory and one or more processors.
  • the structure of the electronic device may refer to the structure of the mobile phone shown in FIG. 1 .
  • the chip system includes at least one processor 1201 and at least one interface circuit 1202 .
  • the processor 1201 may be the processor in the above electronic device.
  • the processor 1201 and the interface circuit 1202 may be interconnected by wires.
  • the processor 1201 can receive and execute computer instructions from the memory of the above electronic device through the interface circuit 1202 .
  • the electronic device can be made to execute various steps executed by the mobile phone or PC in the above-mentioned embodiments.
  • the chip system may also include other discrete devices, which are not specifically limited in this embodiment of the present application.
  • Embodiments of the present application further provide a computer-readable storage medium for storing an electronic device, such as a computer instruction run by the above-mentioned first terminal.
  • Embodiments of the present application further provide a computer program product, including an electronic device, such as a computer instruction run by the above-mentioned first terminal.
  • the disclosed apparatus and method may be implemented in other manners.
  • the device embodiments described above are only illustrative.
  • the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components may be Incorporation may either be integrated into another device, or some features may be omitted, or not implemented.
  • the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place, or may be distributed to multiple different places . Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.
  • the above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.
  • the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a readable storage medium.
  • the technical solutions of the embodiments of the present application can be embodied in the form of software products in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, which are stored in a storage medium , including several instructions to make a device (may be a single chip microcomputer, a chip, etc.) or a processor (processor) to execute all or part of the steps of the methods described in the various embodiments of the present application.
  • the aforementioned storage medium includes: U disk, mobile hard disk, read only memory (ROM), random access memory (random access memory, RAM), magnetic disk or optical disk and other media that can store program codes.

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Abstract

一种设备推荐方法及设备,涉及电子设备领域。解决了在进行设备推荐时,推荐排序不准确的问题。该方法包括:第一设备运行第一服务;在确定需将该第一服务分布到其他设备时,获取至少一个第二设备;第一设备根据至少一个第二设备中各第二设备与第一服务的匹配度,显示至少一个第二设备的设备标识;其中,第二设备与第一服务的匹配度越高,第二设备的设备标识的推荐优先级越高。

Description

一种设备推荐方法及设备
本申请要求于2020年09月27日提交国家知识产权局、申请号为202011034860.9、申请名称为“一种设备推荐方法及设备”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
技术领域
本申请涉及电子设备领域,尤其涉及一种设备推荐方法及设备。
背景技术
随着电子技术及移动互联网的发展,一个用户可同时拥有更多如手机、平板电脑、个人电脑(personal computer,PC)、智能家居设备(如电视机)等终端。在分布式技术背景下,一个终端上的服务可分布到其他终端上。例如,终端1显示的界面可以分布到终端2上进行展示,还可供用户使用。
目前,在终端(如终端1)接收到用户将该终端1的服务分布到其他终端上的操作后,该终端1可将其周边设备按照一定排序规则进行排序后推荐给用户。如终端1显示推荐列表,该推荐列表中包括按照一定排序规则排序后的该终端1周边设备的设备标识。用户可根据推荐列表包括的排序后的设备标识,选择想要将服务分布到的目标设备。
现有技术进行设备推荐时的排序规则通常是其他终端是否与本设备,如终端1成功连接过。如,与终端1成功连接过的终端的设备标识被排在优先位置。也就是说,将与终端1成功连接过的终端优先推荐给用户。但是,与终端1成功连接过是根据用户历史行为所产生的数据,成功连接过的终端可能并不是用户此次想要分布服务的目标设备,这导致了终端提供的推荐排序不准确。
发明内容
本申请实施例提供一种设备推荐方法及设备,解决了在进行设备推荐时,推荐排序不准确的问题。
为达到上述目的,本申请采用如下技术方案:
本申请的第一方面,提供一种设备推荐方法,该方法可以应用于第一设备,该方法可以包括:第一设备运行第一服务;第一设备在确定需将第一服务分布到其他设备时,获取至少一个第二设备;第一设备根据至少一个第二设备中各第二设备与第一服务的匹配度,显示至少一个第二设备的设备标识;其中,第二设备与第一服务的匹配度越高,第二设备的设备标识的推荐优先级越高。
其中,第一服务可以是第一设备中运行的可以分布到其他设备上继续实现的功能,如第一服务可以是音乐,电影,游戏,邮件回复等服务。第一设备显示至少一个第二设备的设备标识具体的可以是:第一设备显示推荐列表,该推荐列表中包括至少一个第二设备的设备标识。匹配度越高,推荐优先级越高,具体可以是:与第一服务匹配度越高的第二设备的设备标识在推荐列表中的排序越靠前,或,与第一服务匹配度越高的第二设备的设备标识在推荐列表中高亮标记的颜色越深。
采用上述技术方案,在第一设备确定需将当前运行的第一服务分布到其他设备后,第一设备可确定发现的设备(如第二设备)与该第一服务的匹配度,根据确定出的匹配度进行设备推荐。提高了设备推荐排序的准确性,提高了用户的使用体验。
在一种可能的实现方式中,在第一设备根据至少一个第二设备中各第二设备与第一服务的匹配度,显示至少一个第二设备的设备标识之前,该方法还可以包括:第一设备确定至少一个第二设备中各第二设备与第一服务的匹配度。
在另一种可能的实现方式中,第一设备确定至少一个第二设备中各第二设备与第一服务的匹配度,可以包括:针对至少一个第二设备中的各第二设备:第一设备获取第二设备在各维度的评分,获取第一服务在各维度的评分;第一设备根据第二设备在各维度的评分和第一服务在各维度的评分,确定第二设备与第一服务的匹配度;其中,各维度是按照影响设备与服务匹配度的不同因素划分的。
作为一种示例,影响设备与服务匹配度因素可以包括硬件配置、服务类型、人为因素及环境因素等中的一个或多个因素。各维度可以是按照这多个因素划分的。如硬件配置可以包括:屏幕尺寸,显示质量,支持的交互方式,音视频质量,移动性/随身行等维度中的一个或多个。服务类型可以包括:交互复杂度,服务数量,任务时长,交互方式,服务的内容形式,服务类别,使用服务时的状态等维度中的一个或多个。人为因素可以包括:沉浸程度,隐私性,人的状态,坐姿等维度中的一个或多个。环境因素可以包括:环境私密性,户外/室内,环境情况等维度中的一个或多个。这样,以影响设备和服务匹配程度的各个维度为依据,对设备和服务进行评分,以便根据评分结果确定设备与服务的匹配度,进一步提高了设备推荐排序的准确性。
在另一种可能的实现方式中,第一设备根据第二设备在各维度的评分和第一服务在各维度的评分,确定第二设备与第一服务的匹配度,可以包括:第一设备根据第二设备在各维度的评分生成第二设备的设备评分模型,根据第一服务在各维度的评分生成第一服务的服务评分模型;第一设备获取设备评分模型和服务评分模型的重合度;第一设备根据重合度,确定第二设备与第一服务的匹配度;其中,设备评分模型和服务评分模型的重合度越高,对应第二设备与第一服务的匹配度越高。通过根据得到的评分分别生成设备的评分模型和服务的评分模型,以根据模型的重合度,确定设备与服务的匹配度。
在另一种可能的实现方式中,第一设备获取第二设备在各维度的评分,可以包括:第一设备接收来自第二设备的设备信息,该设备信息可以包括第二设备的类型;第一设备根据第二设备的类型,从存储的不同类型的设备在各维度下的评分中,获取第二设备在各维度的评分。可根据设备类型,确定对应设备在不同维度下的评分,用于确定设备与服务的匹配度。
在另一种可能的实现方式中,第一设备获取第二设备在各维度的评分,可以包括:第一设备接收来自第二设备的设备信息,该设备信息可以包括第二设备的类型和各维度中第一维度的参数;第一设备根据第二设备的类型,从存储的不同类型的设备在各维度下的评分中,获取第二设备在各维度中除第一维度外的其他维度的评分;第一设备根据第一维度的参数,从存储的第一维度在不同参数下的评分中,获取第二设备在第一维度的评分。可根据第二设备上报的具体参数确定该设备在对应维度下的评分, 根据设备类型确定该设备在其他维度下的评分,以获得该设备在各维度下的评分,用于确定设备与服务的匹配度,以此为依据进行设备推荐,可进一步的提高设备推荐排序的准确性。
在另一种可能的实现方式中,第一设备获取第一服务在各维度的评分,可以包括:第一设备从存储的不同服务在各维度下的评分中,获取第一服务在各维度的评分。
在另一种可能的实现方式中,第一服务的内容包括界面,音频和视频中的一个或多个。
在另一种可能的实现方式中,当第一服务的内容包括界面,音频和视频中的两个或三个时,可分别根据该服务包括的各内容与至少一个第二设备中各第二设备的匹配度,进行设备推荐。如第一服务的内容包括第一内容(如界面)和第二内容(如音频),第一设备根据至少一个第二设备中各第二设备与第一服务的匹配度,显示至少一个第二设备的设备标识,可以包括:第一设备根据第一内容与各第二设备的匹配度显示推荐列表1,该推荐列表1中,与第一内容的匹配度越高的第二设备的设备标识排序越靠前。第一设备根据第二内容与各第二设备的匹配度显示推荐列表2,该推荐列表2中,与第二内容的匹配度越高的第二设备的设备标识排序越靠前。
其中,第一设备可确定至少一个第二设备中各第二设备与第一服务的内容(如第一内容)的匹配度。
第一设备确定至少一个第二设备中各第二设备与第一内容的匹配度,可以包括:针对至少一个第二设备中的各第二设备:第一设备获取第二设备在各维度的评分,获取第一内容在各维度的评分;第一设备根据第二设备在各维度的评分和第一内容在各维度的评分,确定第二设备与第一内容的匹配度;其中,各维度是按照影响设备与服务匹配度的不同因素划分的。
第一设备根据第二设备在各维度的评分和第一内容在各维度的评分,确定第二设备与第一内容的匹配度,可以包括:第一设备根据第二设备在各维度的评分生成第二设备的设备评分模型,根据第一内容在各维度的评分生成第一内容的内容评分模型;第一设备获取设备评分模型和内容评分模型的重合度;第一设备根据重合度,确定第二设备与第一内容的匹配度;其中,设备评分模型和内容评分模型的重合度越高,对应第二设备与第一内容的匹配度越高。
其中,不同内容在各维度的评分可以预先存储在第一设备中。
在另一种可能的实现方式中,当第一服务的内容包括界面,该界面包括多个元素时,可分别根据该界面包括的各元素与至少一个第二设备中各第二设备的匹配度,进行设备推荐。如第一服务的内容包括第一界面,第一界面包括第一元素(如操控类元素)和第二元素(如展示类元素);第一设备根据至少一个第二设备中各第二设备与第一服务的匹配度,显示至少一个第二设备的设备标识,可以包括:第一设备根据第一元素与至少一个第二设备中各第二设备的匹配度进行设备推荐,第二设备与第一元素的匹配度越高,第二设备的推荐优先级越高;如第一设备显示推荐列表1'(如本申请实施例中的第一推荐列表),在推荐列表1'中,与第一元素的匹配度越高的第二设备的设备标识排序越靠前。第一设备根据第二元素与至少一个第二设备中各第二设备的匹配度进行设备推荐,第二设备与第二元素的匹配度越高,第二设备的推荐优 先级越高;如第一设备显示推荐列表2'(如本申请实施例中的第二推荐列表),在推荐列表2'中,与第二元素的匹配度越高的第二设备的设备标识排序越靠前。这样,第一设备还可确定设备与界面元素的匹配度,以此为依据进行设备推荐,可进一步提高设备推荐排序的准确性。
其中,第一设备可确定至少一个第二设备中各第二设备与界面中的元素(如第一元素)的匹配度。
第一设备确定至少一个第二设备中各第二设备与第一元素的匹配度,可以包括:针对至少一个第二设备中的各第二设备:第一设备获取第二设备在各维度的评分,获取第一元素在各维度的评分;第一设备根据第二设备在各维度的评分和第一元素在各维度的评分,确定第二设备与第一元素的匹配度;其中,各维度是按照影响设备与元素匹配度的不同因素划分的。
第一设备根据第二设备在各维度的评分和第一元素在各维度的评分,确定第二设备与第一元素的匹配度,可以包括:第一设备根据第二设备在各维度的评分生成第二设备的设备评分模型,根据第一元素在各维度的评分生成第一元素的元素评分模型;第一设备获取设备评分模型和元素评分模型的重合度;第一设备根据重合度,确定第二设备与第一元素的匹配度;其中,设备评分模型和元素评分模型的重合度越高,对应第二设备与第一元素的匹配度越高。
其中,不同元素在各维度的评分可以预先存储在第一设备中。
在另一种可能的实现方式中,确定需将第一服务分布到其他设备,可以包括:第一设备接收到分布第一服务的操作;其中,分布第一服务的操作为触发第一设备无线投屏的操作,或,分布第一服务的操作为跨设备拖拽操作;或,第一设备确定当前场景满足服务分布条件。
本申请的第二方面,提供一种设备推荐装置,该装置可以应用于第一设备,该装置可以包括:处理单元,用于运行第一服务,在确定需将第一服务分布到其他设备时,获取至少一个第二设备;显示单元,用于根据至少一个第二设备中各第二设备与第一服务的匹配度,显示至少一个第二设备的设备标识;其中,第二设备与第一服务的匹配度越高,第二设备的设备标识的推荐优先级越高。
在一种可能的实现方式中,处理单元,还用于确定至少一个第二设备中各第二设备与第一服务的匹配度。
在另一种可能的实现方式中,处理单元确定至少一个第二设备中各第二设备与第一服务的匹配度,可以包括:针对至少一个第二设备中的各第二设备:获取第二设备在各维度的评分,获取第一服务在各维度的评分;根据第二设备在各维度的评分和第一服务在各维度的评分,确定第二设备与第一服务的匹配度;其中,各维度是按照影响设备与服务匹配度的不同因素划分的。
在另一种可能的实现方式中,处理单元根据第二设备在各维度的评分和第一服务在各维度的评分,确定第二设备与第一服务的匹配度,可以包括:根据第二设备在各维度的评分生成第二设备的设备评分模型,根据第一服务在各维度的评分生成第一服务的服务评分模型;获取设备评分模型和服务评分模型的重合度;根据重合度,确定第二设备与第一服务的匹配度;其中,设备评分模型和服务评分模型的重合度越高, 对应第二设备与第一服务的匹配度越高。
在另一种可能的实现方式中,该装置还可以包括,接收单元,用于接收来自第二设备的设备信息,该设备信息可以包括第二设备的类型;处理单元获取第二设备在各维度的评分,可以包括:根据第二设备的类型,从存储的不同类型的设备在各维度下的评分中,获取第二设备在各维度的评分。
在另一种可能的实现方式中,接收单元,用于接收来自第二设备的设备信息,该设备信息可以包括第二设备的类型和各维度中第一维度的参数;处理单元获取第二设备在各维度的评分,可以包括:根据第二设备的类型,从存储的不同类型的设备在各维度下的评分中,获取第二设备在各维度中除第一维度外的其他维度的评分;根据第一维度的参数,从存储的第一维度在不同参数下的评分中,获取第二设备在第一维度的评分。
在另一种可能的实现方式中,处理单元获取第一服务在各维度的评分,可以包括:从存储的不同服务在各维度下的评分中,获取第一服务在各维度的评分。
在另一种可能的实现方式中,第一服务的内容包括界面,音频和视频中的一个或多个。
在另一种可能的实现方式中,当第一服务的内容包括界面,音频和视频中的两个或三个时,可分别根据该服务包括的各内容与至少一个第二设备中各第二设备的匹配度,进行设备推荐。如第一服务的内容包括第一内容(如界面)和第二内容(如音频),显示单元根据至少一个第二设备中各第二设备与第一服务的匹配度,显示至少一个第二设备的设备标识,可以包括:根据第一内容与各第二设备的匹配度显示推荐列表1,该推荐列表1中,与第一内容的匹配度越高的第二设备的设备标识排序越靠前;根据第二内容与各第二设备的匹配度显示推荐列表2,该推荐列表2中,与第二内容的匹配度越高的第二设备的设备标识排序越靠前。
其中,处理单元,还用于确定至少一个第二设备中各第二设备与第一服务的内容(如第一内容)的匹配度。
处理单元确定至少一个第二设备中各第二设备与第一内容的匹配度,可以包括:针对至少一个第二设备中的各第二设备:获取第二设备在各维度的评分,获取第一内容在各维度的评分;根据第二设备在各维度的评分和第一内容在各维度的评分,确定第二设备与第一内容的匹配度;其中,各维度是按照影响设备与服务匹配度的不同因素划分的。
处理单元根据第二设备在各维度的评分和第一内容在各维度的评分,确定第二设备与第一内容的匹配度,可以包括:根据第二设备在各维度的评分生成第二设备的设备评分模型,根据第一内容在各维度的评分生成第一内容的内容评分模型;获取设备评分模型和内容评分模型的重合度;根据重合度,确定第二设备与第一内容的匹配度;其中,设备评分模型和内容评分模型的重合度越高,对应第二设备与第一内容的匹配度越高。
其中,不同内容在各维度的评分可以预先存储在第一设备中。
在另一种可能的实现方式中,当第一服务的内容包括界面,该界面包括多个元素时,可分别根据该界面包括的各元素与至少一个第二设备中各第二设备的匹配度,进 行设备推荐。如第一服务的内容包括第一界面,第一界面包括第一元素(如操控类元素)和第二元素(如展示类元素);显示单元根据至少一个第二设备中各第二设备与第一服务的匹配度,显示至少一个第二设备的设备标识,可以包括:根据第一元素与至少一个第二设备中各第二设备的匹配度进行设备推荐,第二设备与第一元素的匹配度越高,第二设备的推荐优先级越高;如第一设备显示推荐列表1',在推荐列表1'中,与第一元素的匹配度越高的第二设备的设备标识排序越靠前。根据第二元素与至少一个第二设备中各第二设备的匹配度进行设备推荐,第二设备与第二元素的匹配度越高,第二设备的推荐优先级越高;如第一设备显示推荐列表2',在推荐列表2'中,与第二元素的匹配度越高的第二设备的设备标识排序越靠前。
其中,处理单元,还用于确定至少一个第二设备中各第二设备与界面中的元素(如第一元素)的匹配度。
处理单元确定至少一个第二设备中各第二设备与第一元素的匹配度,可以包括:针对至少一个第二设备中的各第二设备:获取第二设备在各维度的评分,获取第一元素在各维度的评分;根据第二设备在各维度的评分和第一元素在各维度的评分,确定第二设备与第一元素的匹配度;其中,各维度是按照影响设备与元素匹配度的不同因素划分的。
处理单元根据第二设备在各维度的评分和第一元素在各维度的评分,确定第二设备与第一元素的匹配度,可以包括:根据第二设备在各维度的评分生成第二设备的设备评分模型,根据第一元素在各维度的评分生成第一元素的元素评分模型;获取设备评分模型和元素评分模型的重合度;根据重合度,确定第二设备与第一元素的匹配度;其中,设备评分模型和元素评分模型的重合度越高,对应第二设备与第一元素的匹配度越高。
其中,不同元素在各维度的评分可以预先存储在第一设备中。
在另一种可能的实现方式中,处理单元确定需将第一服务分布到其他设备,可以包括:接收到分布第一服务的操作;其中,分布第一服务的操作为触发第一设备无线投屏的操作,或,分布第一服务的操作为跨设备拖拽操作;或,确定当前场景满足服务分布条件。
本申请的第三方面,提供一种设备推荐装置,包括:处理器;用于存储处理器可执行指令的存储器;其中,处理器被配置为执行指令时使得设备推荐装置实现如第一方面或第一方面的可能的实现方式中任一项所述的方法。
本申请的第四方面,提供一种计算机可读存储介质,其上存储有计算机程序指令,计算机程序指令被电子设备(如上述第一设备)执行时使得电子设备实现如第一方面或第一方面的可能的实现方式中任一项所述的方法。
本申请的第五方面,提供一种电子设备(如上述第一设备),该电子设备包括显示屏,一个或多个处理器和存储器;显示屏,处理器和存储器耦合;存储器用于存储计算机程序代码,计算机程序代码包括计算机指令,当计算机指令被电子设备执行时,使得该电子设备执行如第一方面或第一方面的可能的实现方式中任一项所述的方法。
本申请的第六方面,提供一种计算机程序产品,包括计算机可读代码,或者承载有计算机可读代码的非易失性计算机可读存储介质,当所述计算机可读代码在电子设 备(如上述第一设备)中运行时,电子设备中的处理器执行第一方面或第一方面的可能的实现方式中任一项所述的方法。
可以理解地,上述提供的第二方面及其任一种可能的实现方式所述的设备推荐装置,第三方面所述的设备推荐装置,第四方面所述的计算机可读存储介质,第五方面所述的电子设备,及第六方面所述的计算机程序产品所能达到的有益效果,可参考如第一方面及其任一种可能的实现方式中的有益效果,此处不再赘述。
附图说明
图1为本申请实施例提供的一种手机的结构示意图;
图2为本申请实施例提供的一种设备推荐方法的流程示意图;
图3为本申请实施例提供的一种场景示意图;
图4为本申请实施例提供的一种设备评分模型的示意图;
图5为本申请实施例提供的一种服务评分模型的示意图;
图6为本申请实施例提供的一种设备评分模型与服务评分模型的叠加结果示意图;
图7为本申请实施例提供的一种显示界面的示意图;
图8为本申请实施例提供的一种设备推荐方法的流程示意图;
图9为本申请实施例提供的另一种显示界面的示意图;
图10为本申请实施例提供的又一种显示界面的示意图;
图11为本申请实施例提供的一种设备推荐装置的组成示意图;
图12为本申请实施例提供的一种芯片系统的组成示意图。
具体实施方式
目前,在分布式技术背景下,当终端(如终端1)接收到用户将该终端1的服务分布到其他终端上的操作后,终端1可以该终端1的周边设备是否与其连接过为依据,显示推荐列表。推荐列表中与终端1成功连接过的终端的设备标识被排在优先位置,即终端1将与终端1成功连接过的终端优先推荐给用户。但是,与终端1成功连接过是根据用户历史行为所产生的数据,成功连接过的终端可能并不是用户此次想要分布服务的目标设备,这导致终端提供的推荐排序不准确。
本申请实施例提供一种设备推荐方法,可应用于终端进行设备推荐的过程中。本实施例提供的方法,在终端确定满足服务分布条件,如接收到用户将该终端的服务分布到其他终端的操作后,终端以影响设备和服务匹配程度的要素为依据,进行设备推荐。其中,影响设备和服务匹配程度的要素可以包括以下一个或多个影响要素:设备的硬件配置、服务类型、人为因素及环境因素。这样,通过以影响设备和服务匹配程度的要素为依据进行设备推荐,提高了设备推荐排序的准确性,提高了用户的使用体验。
需要说明的是,本实施例中的服务可以是指本终端可以分布出去,能在其他终端上继续实现的功能。示例性的,服务的内容可以包括界面(或者称为用户界面,user interface,UI),音频(audio),视频(video)等内容中的一个或多个。界面可以是完整的界面,也可以界面中的元素(如,可以是界面中的某个元素,或部分元素的组合)。
示例性的,本申请实施例中的终端可以为手机,平板电脑,手持计算机,PC,蜂 窝电话,个人数字助理(personal digital assistant,PDA),可穿戴式设备(如智能手表),游戏机,以及增强现实(augmented reality,AR)\虚拟现实(virtual reality,VR)设备等,本实施例对终端的具体形式不做特殊限制。另外,本实施例提供的技术方案除了可以应用于上述终端(或者说移动终端)外,还可以应用于其他电子设备,如智能家居设备(如电视机,智能音箱),车载电脑(或者称为车机),车辆的仪表盘,抬头显示(head up display,HUD,或称为平视显示器)等。
下面将结合附图对本申请实施例的实施方式进行详细描述。
在本实施例中,以终端为手机为例。请参考图1,为本申请实施例提供的一种手机的结构示意图。以下实施例中的方法可以在具有上述硬件结构的手机中实现。
如图1所示,手机可以包括处理器110,外部存储器接口120,内部存储器121,通用串行总线(universal serial bus,USB)接口130,充电管理模块140,电源管理模块141,电池142,天线1,天线2,无线通信模块160,音频模块170,扬声器170A,受话器170B,麦克风170C,耳机接口170D,传感器模块180,按键190,马达191,指示器192,摄像头193以及显示屏194等。可选的,手机还可以包括移动通信模块150,用户标识模块(subscriber identification module,SIM)卡接口195等。
其中,传感器模块180可以包括压力传感器180A,陀螺仪传感器180B,气压传感器180C,磁传感器180D,加速度传感器180E,距离传感器180F,接近光传感器180G,指纹传感器180H,温度传感器180J,触摸传感器180K,环境光传感器180L,骨传导传感器180M等。
可以理解的是,本实施例示意的结构并不构成对手机的具体限定。在另一些实施例中,手机可以包括比图示更多或更少的部件,或者组合某些部件,或者拆分某些部件,或者不同的部件布置。图示的部件可以以硬件,软件或软件和硬件的组合实现。
处理器110可以包括一个或多个处理单元,例如:处理器110可以包括应用处理器(application processor,AP),调制解调处理器,图形处理器(graphics processing unit,GPU),图像信号处理器(image signal processor,ISP),控制器,存储器,视频编解码器,数字信号处理器(digital signal processor,DSP),基带处理器,和/或神经网络处理器(neural-network processing unit,NPU)等。其中,不同的处理单元可以是独立的器件,也可以集成在一个或多个处理器中。
控制器可以是手机的神经中枢和指挥中心。控制器可以根据指令操作码和时序信号,产生操作控制信号,完成取指令和执行指令的控制。
处理器110中还可以设置存储器,用于存储指令和数据。在一些实施例中,处理器110中的存储器为高速缓冲存储器。该存储器可以保存处理器110刚用过或循环使用的指令或数据。如果处理器110需要再次使用该指令或数据,可从所述存储器中直接调用。避免了重复存取,减少了处理器110的等待时间,因而提高了系统的效率。
在一些实施例中,处理器110可以包括一个或多个接口。接口可以包括集成电路(inter-integrated circuit,I2C)接口,集成电路内置音频(inter-integrated circuit sound,I2S)接口,脉冲编码调制(pulse code modulation,PCM)接口,通用异步收发传输器(universal asynchronous receiver/transmitter,UART)接口,移动产业处理器接口(mobile industry processor interface,MIPI),通用输入输出(general-purpose input/output, GPIO)接口,SIM接口,和/或USB接口等。
充电管理模块140用于从充电器接收充电输入。充电管理模块140为电池142充电的同时,还可以通过电源管理模块141为手机供电。电源管理模块141用于连接电池142,充电管理模块140与处理器110。电源管理模块141也可接收电池142的输入为手机供电。
手机的无线通信功能可以通过天线1,天线2,移动通信模块150,无线通信模块160,调制解调处理器以及基带处理器等实现。
天线1和天线2用于发射和接收电磁波信号。手机中的每个天线可用于覆盖单个或多个通信频带。不同的天线还可以复用,以提高天线的利用率。例如:可以将天线1复用为无线局域网的分集天线。在另外一些实施例中,天线可以和调谐开关结合使用。
当手机包括移动通信模块150时,移动通信模块150可以提供应用在手机上的包括2G/3G/4G/5G等无线通信的解决方案。移动通信模块150可以包括至少一个滤波器,开关,功率放大器,低噪声放大器(low noise amplifier,LNA)等。移动通信模块150可以由天线1接收电磁波,并对接收的电磁波进行滤波,放大等处理,传送至调制解调处理器进行解调。移动通信模块150还可以对经调制解调处理器调制后的信号放大,经天线1转为电磁波辐射出去。在一些实施例中,移动通信模块150的至少部分功能模块可以被设置于处理器110中。在一些实施例中,移动通信模块150的至少部分功能模块可以与处理器110的至少部分模块被设置在同一个器件中。
调制解调处理器可以包括调制器和解调器。其中,调制器用于将待发送的低频基带信号调制成中高频信号。解调器用于将接收的电磁波信号解调为低频基带信号。随后解调器将解调得到的低频基带信号传送至基带处理器处理。低频基带信号经基带处理器处理后,被传递给应用处理器。应用处理器通过音频设备(不限于扬声器170A,受话器170B等)输出声音信号,或通过显示屏194显示图像或视频。在一些实施例中,调制解调处理器可以是独立的器件。在另一些实施例中,调制解调处理器可以独立于处理器110,与移动通信模块150或其他功能模块设置在同一个器件中。
无线通信模块160可以提供应用在手机上的包括无线局域网(wireless local area networks,WLAN)(如Wi-Fi网络),蓝牙(bluetooth,BT),全球导航卫星系统(global navigation satellite system,GNSS),调频(frequency modulation,FM),NFC,红外技术(infrared,IR)等无线通信的解决方案。无线通信模块160可以是集成至少一个通信处理模块的一个或多个器件。无线通信模块160经由天线2接收电磁波,将电磁波信号调频以及滤波处理,将处理后的信号发送到处理器110。无线通信模块160还可以从处理器110接收待发送的信号,对其进行调频,放大,经天线2转为电磁波辐射出去。
在一些实施例中,手机的天线1和移动通信模块150耦合,天线2和无线通信模块160耦合,使得手机可以通过无线通信技术与网络以及其他设备通信。所述无线通信技术可以包括全球移动通讯系统(global system for mobile communications,GSM),通用分组无线服务(general packet radio service,GPRS),码分多址接入(code division multiple access,CDMA),宽带码分多址(wideband code division multiple access, WCDMA),时分码分多址(time-division code division multiple access,TD-SCDMA),长期演进(long term evolution,LTE),BT,GNSS,WLAN,NFC,FM,和/或IR技术等。所述GNSS可以包括全球卫星定位系统(global positioning system,GPS),全球导航卫星系统(global navigation satellite system,GLONASS),北斗卫星导航系统(beidou navigation satellite system,BDS),准天顶卫星系统(quasi-zenith satellite system,QZSS)和/或星基增强系统(satellite based augmentation systems,SBAS)。
手机通过GPU,显示屏194,以及应用处理器等实现显示功能。GPU为图像处理的微处理器,连接显示屏194和应用处理器。处理器110可包括一个或多个GPU,其执行程序指令以生成或改变显示信息。
显示屏194用于显示图像,视频等。显示屏194包括显示面板。显示面板可以采用液晶显示屏(liquid crystal display,LCD),有机发光二极管(organic light-emitting diode,OLED),有源矩阵有机发光二极体或主动矩阵有机发光二极体(active-matrix organic light emitting diode,AMOLED),柔性发光二极管(flex light-emitting diode,FLED),Miniled,MicroLed,Micro-oLed,量子点发光二极管(quantum dot light emitting diodes,QLED)等。在一些实施例中,手机可以包括1个或N个显示屏194,N为大于1的正整数。
手机可以通过ISP,摄像头193,视频编解码器,GPU,显示屏194以及应用处理器等实现拍摄功能。在一些实施例中,手机可以包括1个或N个摄像头193,N为大于1的正整数。
外部存储器接口120可以用于连接外部存储卡,例如Micro SD卡,实现扩展手机的存储能力。外部存储卡通过外部存储器接口120与处理器110通信,实现数据存储功能。例如将音乐,视频等文件保存在外部存储卡中。
内部存储器121可以用于存储计算机可执行程序代码,所述可执行程序代码包括指令。处理器110通过运行存储在内部存储器121的指令,从而执行手机的各种功能应用以及数据处理。内部存储器121可以包括存储程序区和存储数据区。其中,存储程序区可存储操作系统,至少一个功能所需的应用程序(比如声音播放功能,图像播放功能等)等。存储数据区可存储手机使用过程中所创建的数据(比如音频数据,电话本等)等。此外,内部存储器121可以包括高速随机存取存储器,还可以包括非易失性存储器,例如至少一个磁盘存储器件,闪存器件,通用闪存存储器(universal flash storage,UFS)等。
手机可以通过音频模块170,扬声器170A,受话器170B,麦克风170C,耳机接口170D,以及应用处理器等实现音频功能。例如音乐播放,录音等。
压力传感器180A用于感受压力信号,可以将压力信号转换成电信号。在一些实施例中,压力传感器180A可以设置于显示屏194。压力传感器180A的种类很多,如电阻式压力传感器,电感式压力传感器,电容式压力传感器等。当有触摸操作作用于显示屏194,手机根据压力传感器180A检测所述触摸操作强度。手机也可以根据压力传感器180A的检测信号计算触摸的位置。
陀螺仪传感器180B可以用于确定手机的运动姿态。气压传感器180C用于测量气压。磁传感器180D包括霍尔传感器。手机可以利用磁传感器180D检测翻盖皮套的开 合。加速度传感器180E可检测手机在各个方向上(一般为三轴)加速度的大小。距离传感器180F,用于测量距离。手机可以利用接近光传感器180G检测用户手持手机贴近耳朵通话,以便自动熄灭屏幕达到省电的目的。接近光传感器180G也可用于皮套模式,口袋模式自动解锁与锁屏。环境光传感器180L用于感知环境光亮度。指纹传感器180H用于采集指纹。手机可以利用采集的指纹特性实现指纹解锁,访问应用锁,指纹拍照,指纹接听来电等。温度传感器180J用于检测温度。
触摸传感器180K,也称“触控面板”。触摸传感器180K可以设置于显示屏194,由触摸传感器180K与显示屏194组成触摸屏,也称“触控屏”。触摸传感器180K用于检测作用于其上或附近的触摸操作。触摸传感器可以将检测到的触摸操作传递给应用处理器,以确定触摸事件类型。可以通过显示屏194提供与触摸操作相关的视觉输出。在另一些实施例中,触摸传感器180K也可以设置于手机的表面,与显示屏194所处的位置不同。
骨传导传感器180M可以获取振动信号。按键190包括开机键,音量键等。按键190可以是机械按键。也可以是触摸式按键。马达191可以产生振动提示。马达191可以用于来电振动提示,也可以用于触摸振动反馈。指示器192可以是指示灯,可以用于指示充电状态,电量变化,也可以用于指示消息,未接来电,通知等。
当手机包括SIM卡接口195时,SIM卡接口195用于连接SIM卡。SIM卡可以通过插入SIM卡接口195,或从SIM卡接口195拔出,实现和手机的接触和分离。手机可以支持1个或N个SIM卡接口,N为大于1的正整数。手机通过SIM卡和网络交互,实现通话以及数据通信等功能。在一些实施例中,手机采用eSIM,即:嵌入式SIM卡。eSIM卡可以嵌在手机中,不能和手机分离。
以下实施例中的方法可以在具有上述硬件结构的手机中实现。
以下结合附图和场景对本申请实施例提供的设备推荐方法进行详细介绍。图2为本申请实施例提供的一种设备推荐方法的流程示意图。如图2所示,该方法可以包括:
S201、第一终端在确定服务分布事件产生时,获取一个或多个待推荐设备。
在用户使用终端的过程中,可能会有各种各样需要将当前终端的服务分布到其他终端上实现的场景。作为一种示例,所述的服务可以是指本终端可以分布出去,能在其他终端上继续实现的功能。服务的内容可以包括界面(UI),音频(audio),视频(video)等内容中的一个或多个。界面可以是完整的界面,也可以界面中的元素。也就是说,服务可以是终端显示的界面,或终端播放的音乐、电影、短视频等。
其中,上述服务分布事件用于触发第一终端向用户推荐第一终端当前运行的服务可分布到的设备。第一终端可以为本申请实施例中的第一设备。
在一些实施例中,服务分布事件可以是第一终端自动触发的。示例性的,在第一终端运行某服务的情况下,第一终端可判断当前场景是否满足服务分布条件。在确定当前场景满足服务服务条件时,可产生服务分布事件。
例如,结合图3所示的场景示意图。以第一终端是手机301为例。用户家中配有电视机302,智能音箱303等家居设备。在用户使用手机301播放视频或音频,或浏览界面时,手机301可以在检测到用户当前所处位置为用户家中时,确定当前场景满足服务分布条件,手机301可产生服务分布事件。作为一种示例,手机301可利用手 机301的天线和移动通信模块,通过GPS与网络进行通信,以获得手机301当前所处位置,手机301当前所处位置可以认为是用户当前所处位置。也可以通过其他方式获得用户当前所处位置,本实施例在此不做具体限制。
又例如,以第一终端是手机为例。用户的车辆中配置有车机,HUD等。在用户使用手机导航时,手机可以在检测到用户当前的运动速度大于预设阈值时,确定当前用户在驾驶车辆,即确定当前场景满足服务分布条件,手机可产生服务分布事件。作为一种示例,手机可利用手机的加速度传感器检测到手机的加速度大小,根据检测到的加速度,手机可确定出手机的当前的运动速度,手机当前的运动速度可以认为是用户当前的运动速度。也可以通过其他方式获得用户当前的运动速度,本实施例在此不做具体限制。
在其他一些实施例中,服务分布事件也可以是用户触发的。示例性的,在第一终端运行某服务的情况下,第一终端可以在接收到用户用于触发服务分布的用户操作时,产生服务分布事件。
例如,上述用户操作可以是跨设备的拖拽操作。以第一终端是手机为例。用户在使用手机播放视频或音频,或浏览界面时,手机接收到用户输入的跨设备的拖拽操作,手机可产生服务分布事件。作为一种示例,该跨设备的拖拽操作可以是用户对手机显示的对象(如上述播放的视频或音频,或浏览界面)的按下操作和移动操作。具体的,该对象可以是应用窗口,自由(freeform)小窗,动态小窗,视频组件,悬浮窗,画中画,小组件(widget),UI控件等UI元素。
又例如,上述用户操作可以是触发第一终端无线投屏的用户操作。以第一终端是手机为例。用户在使用手机播放视频或音频,或浏览界面时,手机接收到用户输入的用于触发无线投屏的用户操作时,手机可产生服务分布事件。作为一种示例,在无线投屏场景下,上述触发无线投屏的用户操作可以是用户对手机投屏服务功能的开启操作,或者可以是手机的投屏服务功能开启后,手机与其他终端建立连接的过程中,用户对连接确认界面中确认按钮的选择操作等。
在第一终端当前运行某服务(如显示界面,或播放视频、音频)的情况下,在确定服务分布事件产生后,第一终端可获取一个或多个待推荐设备。
在本实施例中,待推荐设备可以是第一终端发现的设备。待推荐设备可以为本申请实施例中的第二设备。示例性的,该待推荐设备可以包括:与第一终端连接的设备,和/或,与第一终端未连接但在第一终端可连接范围内的设备。其中,手机可采用定位技术获取与第一终端未连接但与第一终端的距离在可连接范围内的设备。定位技术可以是蓝牙、超宽带(Ultra-wideband,UWB)、超声波等定位技术。
需要说明的是,以上S201中是以在确定服务分布事件产生后,获取一个或多个待推荐设备为例进行说明的。在其他一些实施例中,第一终端获取待推荐设备与确定服务分布事件产生的执行可以没有先后顺序限制。例如,第一终端也可以先获取待推荐设备,然后在确定服务分布事件产生后,执行以下S202。
S202、第一终端确定各待推荐设备与待分布服务的匹配度。
其中,待分布服务可以是指将要分布到其他终端继续实现的服务。如,在第一终端当前运行了一个服务(如运行的服务为音乐)的情况下,待分布服务为第一终端当 前运行的该服务。又如,在第一终端当前运行了多个服务时(如运行音乐这一服务和邮件回复这一服务),第一终端可从当前运行的多个服务中选择一个服务作为待分布服务,与待推荐设备进行匹配。第一终端也可以将这多个服务均作为待分布服务,分别与各待推荐设备进行匹配。其中,待分布服务可以为本申请实施例中的第一服务。
第一终端从当前运行的多个服务中选择一个服务作为待分布服务的实现可以是:第一终端可从运行的多个服务中任意选择一个服务作为待分布服务,或者第一终端可以根据当前具体场景和/或获取到的待推荐设备,从多个服务中选择出待分布服务。如,当前运行了音乐这一服务和邮件回复这一服务,考虑到音乐用户通常希望在音箱上实现,邮件回复用户通常希望在电脑上实现,因此,第一终端可在确定获取到的待推荐设备中包括音箱时,将音乐这一服务确定为待分布服务,可在确定获取到的待推荐设备中包括电脑时,将邮件回复这一服务确定为待分布服务。如果待推荐设备中既包括音箱,还包括电脑,则第一终端可将音乐和邮件回复这两个服务均确定为待分布服务。又如,当前运行了音乐这一服务和邮件回复这一服务,考虑到在驾驶车辆时,用户通常希望在车机上实现音乐服务,因此,在服务分布事件产生后,如果第一终端确定出用户当前的运动速度大于预设阈值,即确定当前用户在驾驶车辆,则第一终端可将音乐这一服务确定为待分布服务。
在第一终端获取到一个或多个待推荐设备,并确定待分布服务后,第一终端可确定获取到的各待推荐设备与待分布服务的匹配度。
在一些实施例中,第一终端确定各待推荐设备与待分布服务的匹配度的具体实现可以是:第一终端以影响设备和服务匹配度的要素为依据,对各待推荐设备及待分布服务进行评分,获得评分结果。之后,根据各待推荐设备的评分结果和待分布服务的评分结果,第一终端可确定各待推荐设备与待分布服务的匹配度。
作为一种示例,待推荐设备的评分结果及待分布服务的评分结果可以评分模型的形式给出。如,为了便于描述,本实施例中,将以评分模型的形式给出的待推荐设备的评分结果称为设备评分模型,将以评分模型的形式给出的待分布服务的评分结果称为服务评分模型。第一终端可根据设备评分模型与服务评分模型的重合度,来确定待推荐设备与待分布服务的匹配度。如,设备评分模型与服务评分模型的重合度越高,对应待推荐设备与待分布服务的匹配度越高。
其中,影响设备和服务匹配程度的要素可以包括以下一个或多个影响要素:设备的硬件配置、服务类型、人为因素及环境因素。
作为一种示例,如表1所示,上述各影响要素可包括以下维度中的一个或多个维度。
表1
Figure PCTCN2021118530-appb-000001
如表1所示,服务类型可以包括:交互复杂度,服务数量,任务时长,交互方式,服务的内容形式,服务类别,使用服务时的状态等维度中的一个或多个。环境因素可以包括:环境私密性,户外/室内,环境情况等维度中的一个或多个。人为因素可以包括:沉浸程度,隐私性,人的状态,坐姿等维度中的一个或多个。设备的硬件配置可以包括:屏幕尺寸,显示质量,支持的交互方式,音视频质量,移动性/随身行等维度中的一个或多个。
其中,在服务类型中,交互复杂程度可以从两个影响因素来考虑。其中一个影响因素可以是:为了使用一个服务(或完成一个服务对应任务)从开始到结束所需要的操作步骤。另一个影响因素可以是完成一个服务对应的任务所需进行的操作是否需要借助外设(如,键鼠、手写笔等)、是否需要切换多种操作。服务数量可以是指运行一个服务时能同时被用户使用的其它服务的数量,或者说支持同时运行的服务数量。任务时长可以是指一个服务对应任务的持续时间,或者说处理完成一个服务对应的任务所需花费的时间。交互方式可以是指触控、语音、遥控器控制,键盘、鼠标、手写笔、手柄等完成服务对应任务可用的输入方式。服务的内容形式可以是指一个服务的内容具体包括界面,音频,视频等内容中的哪个或哪几个内容。服务类别可以是指服务对应的类别,如音频服务、视频服务、界面展示服务等。使用服务时的状态可以是 指用户使用服务时的状态,如在家(休闲放松)、在开车(精神需要保持高度集中)、在户外运动等。
在环境因素中,环境私密性可以是指用户在使用设备或服务的过程中私密性的要求。如,是否能接受与陌生人/熟人/家人等共享服务的内容,用于衡量在使用设备或服务的环境中有没有其他人、或者在使用设备或服务的过程中有没有可能被其他人侵犯隐私,属于客观因素。户外/室内可以是指用户当前所处的位置是户外还是室内。环境情况可以是指用户当前所处位置的季节、温度、天气情况等环境情况。
人为因素中,沉浸程度可以是指一个服务对应的任务进行过程中,用户能否被外界因素(包括设备及人因)打扰。隐私性可以是指用户是否能接受与陌生人/熟人/家人等共享服务,属于用户的主观选择。人的状态可以是指使用服务时,如用户的双手是否被占用,用户是坐着还是站着还是走着等状态。坐姿可以是指在用户当前状态是坐着时,坐姿是随意,还是端正。
设备的硬件配置中,屏幕尺寸可以是指设备显示屏的尺寸。显示质量可以是指设备显示屏的分辨率,亮度,对比度等。支持的交互方式可以是指设备所支持的输入方式,如触屏输入,鼠标输入,键盘输入等。音视频质量可以包括音频质量,和/或视频质量。音频质量可以是指设备播放音频的能力,可以结合设备扬声器的数量给出该维度的评分。其中,音频质量的衡量参数可以包括采样频率,音效,响度等。采样频率:一般共分为22.05KHz(千赫兹)、44.1KHz、48KHz三个等级。22.05KHz只能达到FM广播的声音品质,44.1KHz则是理论上的CD音质界限,48KHz则已达到DVD音质了。音效:如是否支持杜比品质的全景声。响度:如在制作音频或视频时,目标响度应该为-23LUFS(偏差范围±1LU),真峰值不得超过-1dB,通常被简化称为-23LUFS/-1dB TP。例如设备没有扬声器该维度对应评分为0,设备有单扬声器且音频质量一般该维度对应评分为1等。如,手表在该维度的评分为0,手机在该维度的评分可以为2,车机在该维度的评分可以为5。视频质量可以是指设备播放视频的能力,可以结合设备的屏幕分辨率、色深、色域和视频编解码能力等给出评分。其中,屏幕分辨率:常见的有2k屏、4K高清、4KHDR屏。色深:如8bit(比特),或10bit。色域:常见的有广色域,现在的国际标准要达到92%NTSC色域称为广色域(高色域)。如,手表在该维度的评分为0,手机在该维度的评分可以为4,电视在该维度的评分可以为6。移动性/随身性可以是指设备是否可移动或可随身携带。
以服务类型包括交互复杂度,服务数量和任务时长三个维度,环境因素包括环境私密性一个维度,人为隐私包括沉浸程度一个维度,设备的硬件配置包括屏幕尺寸一个维度为例。本实施例示例性的给出了各维度评分的对照表,如表2所示。
表2
Figure PCTCN2021118530-appb-000002
其中,在表2中,可以看到的是,对于交互复杂度,如果使用一个服务(或完成一个服务对应任务)从开始到结束需要简单的交互,如1步操作即可完成,则可给出1-2分的评分。如果使用一个服务(或完成一个服务对应任务)从开始到结束需要简单的交互,如1-2步操作可完成,则可给出2-3分的评分。如果使用一个服务(或完成一个服务对应任务)从开始到结束需要较复杂的交互才可完成,如文字输入,表单填写等,则可给出3-4分的评分。如果使用一个服务(或完成一个服务对应任务)从开始到结束需要较复杂切换,需要精准的操作才可完成,则可给出4-5分的评分。如果一个服务(或完成一个服务对应任务)从开始到结束需要依靠键鼠、手写笔等外设,需要经多种操作切换的复杂交互才可完成,则可给出5-6分的评分。可以看到的是,交互复杂度越高,对应评分越高。
对于服务数量,如果一次只能运行单一服务,或者说运行一个服务时不允许用户使用其它服务,则给出1-2分的评分。如果一次可支持1-2个服务同时运行,则可给 出2-3分的评分。如果一次可支持2-3个服务同时运行,或者说运行一个服务时允许用户使用其它服务的数量为1-2个,则可给出3-4分的评分。如果一次可支持3-4个服务同时运行,或者说运行一个服务时允许用户使用其它服务的数量为2-3个,则可给出4-5分的评分。如果一次可支持4个及以上数量的服务同时运行,或者说运行一个服务时允许用户使用其它服务的数量为3个及以上,则可给出5-6分的评分。可以看到的是,服务数量越大,对应评分越高。
对于任务时长,如果一个服务对应的任务在短时间内可处理完成,如查看一条短消息,拒接一通来电等,则给出1-2分的评分。如果一个服务对应的任务在五分钟以内可处理完成,如欣赏一首歌曲,浏览一篇新闻等,则可给出2-3分的评分。如果一个服务对应的任务5-10分钟左右可处理完成,如填写一份问卷调查等,则可给出3-4分的评分。如果一个服务对应的任务10-20分钟左右可处理完成,如一张照片的后期处理等,则可给出4-5分的评分。如果一个服务对应的任务30分钟以上可处理完成的任务,如文档编辑,报表处理,观看电影等,则可给出5-6分的评分。可以看到的是,任务时长越长,对应评分越高。
对于环境私密性,如果用户在使用设备或服务的过程中对私密性无要求,则给出1-2分的评分。如果用户在使用设备或服务的过程中允许与陌生人共享内容,则可给出2-3分的评分。如果用户在使用设备或服务的过程中允许和认识的人共享内容,则可给出3-4分的评分。如果用户在使用设备或服务的过程中允许和家人、朋友共享内容,则可给出4-5分的评分。如果用户在使用设备或服务的过程中仅允许自己查看内容,则可给出5-6分的评分。可以看到的是,环境私密性越高,对应评分越高。
对于沉浸程度,如果用户在进行对沉浸式无要求的短暂任务处理,则给出1-2分的评分。如果用户允许多任务(如2个或2个以上任务)同时处理,则可给出2-3分的评分。如果用户允许1个或2个任务同时处理,则可给出3-4分的评分。如果用户可处理1个任务,需要专注,可被打断,则可给出4-5分的评分。如果用户需要非常专注,不可接受被打断,则可给出5-6分的评分。可以看到的是,沉浸程度越高,对应评分越高。
对于屏幕尺寸,如果设备屏幕的尺寸为1-3寸,则给出1-2分的评分。如果设备屏幕的尺寸为3-7寸,则可给出2-3分的评分。如果设备屏幕的尺寸为7-9寸,则可给出3-4分的评分。如果设备屏幕的尺寸为9-16寸,则可给出4-5分的评分。如果设备屏幕的尺寸为17寸及以上,则可给出5-6分的评分。可以看到的是,屏幕尺寸越大,对应评分越高。
继续以服务类型包括交互复杂度,服务数量和任务时长三个维度,环境因素包括环境私密性一个维度,人为隐私包括沉浸程度一个维度,设备的硬件配置包括屏幕尺寸一个维度为例。基于表2所示的各维度评分的对照表,可以得出不同类型的设备在各影响要素包括的各维度下的评分。
以手机为例。基于表2所示的各维度评分标准对照表,手机在各影响要素包括的各维度下的参数及评分如表3所示。
表3
Figure PCTCN2021118530-appb-000003
基于表3,可以理解的是,对于手机而言,既支持实现简单的交互,1步,或1-2步操作就能完成的任务,还能支持较复杂的交互,因此,手机在服务类型为交互复杂度的维度下,可给出1-4分的评分。类似的,手机通常情况下一次只能运行单一服务,但支持分屏功能的手机一次可支持2个服务同时运行,因此,手机在服务类型为服务数量的维度下,可给出1-3分的评分。手机对处理任务的时长无限制,即,短时间内可以处理完成的任务,需要较长时间才能处理完成的任务,手机均支持,因此手机在服务类型为任务时长的维度下,可给出1-6分的评分。手机对环境私密性,沉浸程度均无限制,因此环境因素为环境私密性,人的因素为沉浸程度的评分也均为1-6分。手机一般情况下的屏幕尺寸为3-7寸,因此,硬件配置为屏幕尺寸的评分为2-3分。
同样的,对于其他类型的设备,也可基于表2所示的各维度评分标准对照表,得到其在各影响要素包括的各维度下的评分,例如,如表4所示。
表4
Figure PCTCN2021118530-appb-000004
可以看到的是,表4分别示出了车机,手表,手机,平板,电脑,电视在交互复杂度,服务数量,任务时长,环境私密性,沉浸程度,屏幕尺寸这六个维度的评分。例如,对于车机而言,其交互复杂度的评分为1-3,服务数量的评分为1-3,任务时长的评分为1-6,环境私密性的评分为2-6,沉浸程度的评分为1-6,屏幕尺寸的评分为1-4。又如,对于手表而言,其交互复杂度的评分为1-3,服务数量的评分为1-2,任务时长的评分为1-3,环境私密性的评分为1-6,沉浸程度的评分为1-2,屏幕尺寸的评 分为1-2。可以看到的是,每一种类型的设备,都具备自身的特点。有的设备在交互复杂度上有优势,如平板,电脑。有的设备在任务时长上不占优势,如手表。有的设备在屏幕尺寸上有优势,如电视,电脑。
类似的,继续以服务类型包括交互复杂度,服务数量和任务时长三个维度,环境因素包括环境私密性一个维度,人为隐私包括沉浸程度一个维度,设备的硬件配置包括屏幕尺寸一个维度为例。基于表2所示的各维度评分的对照表,可以得出不同服务在各影响要素包括的各维度下的评分。其中,服务可以包括:音乐,电影,游戏,瑜伽教程,邮件回复,短视频等。这些服务仅是本实施例中的示例,实际使用时可不局限于此,如还可以包括导航等。
以服务为音乐为例。基于表2所示的各维度评分标准对照表,音乐这一服务在各影响要素包括的各维度下的参数及评分如表5所示。
表5
Figure PCTCN2021118530-appb-000005
基于表5,可以理解的是,对于音乐这一服务而言,其一般只需用户进行简单的交互,如1步,或1-2步就能完成享受音乐这一服务所对应的交互操作,因此,音乐这一服务在服务类型为交互复杂度的维度下,可给出1-3分的评分。类似的,通常情况下,在音乐这一服务运行时,不再允许其他服务(如其他同类服务)同时运行,因此,音乐这一服务在服务类型为服务数量的维度下,可给出1-2分的评分。音乐这一服务对对应任务处理时长一般为五分钟或者更短时间,如对于系统来说,处理一次音乐这一服务相关的任务多在五分钟或更短的时间便可结束,因此音乐这一服务在服务类型为任务时长的维度下,可给出1-3分的评分。音乐这一服务对环境私密性无限制,如可能对私密性无要求,又如可能允许与陌生人,认识的人,家人和朋友共享,再如可能仅允许自己查看,因此音乐这一服务在环境因素为环境私密性的评分为1-6分。音乐这一服务对沉浸程度无要求,因此人的因素为沉浸程度的评分为1-2分。音乐这一服务运行时对设备的屏幕尺寸无限制,可以是任意尺寸的屏幕,因此,硬件配置为屏幕尺寸的评分为1-6分。
需要说明的是,在提供音乐这一服务的应用中,可能还会包括一些不属于享受音乐这一服务本身的复杂交互操作的元素。比如对某一音乐发表评论,就需要比较复杂 的操作。这样元素的操作可不包含在享受音乐这一服务所对应的交互操作中,而将其列为其他服务,比如“输入文字”服务对应的交互操作中。可以理解的是,“输入文字”服务对应在各维度下的评分可能与音乐这个服务在各维度下的评分不同。
同样的,对于其他服务,也可基于表2所示的各维度评分标准对照表,得到其在各影响要素包括的各维度下的评分,例如,如表6所示。
表6
Figure PCTCN2021118530-appb-000006
可以看到的是,表6分别示出了音乐,电影,游戏,瑜伽教程,邮件回复,短视频这些服务在交互复杂度,服务数量,任务时长,环境私密性,沉浸程度,屏幕尺寸这六个维度的评分。例如,对于电影这一服务而言,其交互复杂度的评分为1-3,服务数量的评分为1-2,任务时长的评分为1-6,环境私密性的评分为2-6,沉浸程度的评分为3-6,屏幕尺寸的评分为2-6。又如,对于短视频这一服务而言,其交互复杂度的评分为1-3,服务数量的评分为1-2,任务时长的评分为1-3,环境私密性的评分为1-6,沉浸程度的评分为1-6,屏幕尺寸的评分为2-6。可以看到的是,每一种服务,都具备自身的特点。有的服务的交互复杂度比较高,如游戏,邮件回复等服务。有的服务对沉浸程度要求比较高,如游戏,邮件回复等服务。
如上述实施例中的描述,根据S201中获得的各待推荐设备的在各影响要素包括的各维度下的评分和待分布服务的在各影响要素包括的各维度下的评分,第一终端可确定各待推荐设备与待分布服务的匹配度。在一些实施例中,第一终端中可预先存储不同类型的设备在各影响要素包括的各维度下的评分,及不同服务在各影响要素包括的各维度下的评分。示例性的,继续以服务类型包括交互复杂度,服务数量和任务时长三个维度,环境因素包括环境私密性一个维度,人为隐私包括沉浸程度一个维度,设备的硬件配置包括屏幕尺寸一个维度为例,第一终端可存储上述表4和表6。这样,根据S201获得的各待推荐设备的类型和表4,第一终端可确定各待推荐设备在各影响要素包括的各维度下的评分,获得评分结果。根据待分布的服务和表6,第一终端可确定该待分布服务在各影响要素包括的各维度下的评分,获得评分结果。
其中,各待推荐设备的类型可以是对应待推荐设备上报给第一终端的。例如,在待推荐设备是已与第一终端连接的设备的情况下,该待推荐设备的类型可以是第一终端发现该待推荐设备的过程中,或待推荐设备与第一终端连接的过程中,或者待推荐设备与第一终端连接成功后,待推荐设备发送给第一终端的。又例如,在待推荐设备是与第一终端未连接但在第一终端可连接范围内的设备的情况下,该待推荐设备的类型可以是第一终端发现该待推荐设备的过程中,待推荐设备发送给第一终端的,如可以是第一终端采用定位技术(如蓝牙)发现待推荐设备的过程中,待推荐设备发送给第一终端的。在一些实施例中,待推荐设备可以主动将待推荐设备的类型上报给第一终端,也可以是被动的。如,待推荐设备被动上报待推荐设备的类型的实现可以是:在以上任意一个过程中,第一终端可以先向待推荐设备发送上报设备信息的通知;待推荐设备接收到通知后,可将待推荐设备的设备信息,如包括待推荐设备的类型上报给第一终端。第一终端接收到来自待推荐设备的设备信息(如包括类型)后,可缓存该待推荐设备的设备信息,便于在确定待推荐设备与待分布服务的匹配度时使用。
在确定出各待推荐设备的评分结果,及待分布服务的评分结果后,第一终端可根据各待推荐设备的评分结果和待分布服务的评分结果,确定各待推荐设备与待分布服务的匹配度。
示例性的,以待推荐设备的评分结果及待分布服务的评分结果可以评分模型的形式给出,S201中获得的待推荐设备包括:手机,手表,车机,平板,电脑和电视,待分布服务为音乐为例。根据各待推荐设备的评分结果和待分布服务的评分结果,确定各待推荐设备与待分布服务的匹配度的具体实现可以是:第一终端可根据获得的各待推荐设备的评分结果,构造各待推荐设备的评分模型。
例如,如图4所示,分别示出了手机,手表,车机,平板,电脑和电视的设备评分模型。如根据手表在交互复杂度的评分1-3,服务数量的评分1-2,任务时长的评分1-3,环境私密性的评分1-6,沉浸程度的评分1-2,屏幕尺寸的评分1-2,第一终端可构造出如图4中的(b)所示的手表的设备评分模型。又如根据车机在交互复杂度的评分1-3,服务数量的评分1-3,任务时长的评分1-6,环境私密性的评分2-6,沉浸程度的评分1-6,屏幕尺寸的评分1-4,第一终端可构造出如图4中的(c)所示的车机的设备评分模型。类似的,第一终端还可构造出如图4中的(a)所示的手机的设备评分模型,如图4中的(d)所示的平板的设备评分模型,如图4中的(e)所示的电脑的设备评分模型,及如图4中的(f)所示的电视的设备评分模型。
如图5中的(a)所示,示出了音乐这一服务的服务评分模型。根据音乐这一服务在交互复杂度的评分1-3,服务数量的评分1-2,任务时长的评分1-3,环境私密性的评分1-6,沉浸程度的评分1-2,屏幕尺寸的评分1-6,第一终端可构造出如图5中的(a)所示的音乐这一服务的服务评分模型。
第一终端根据手机,手表,车机,平板,电脑和电视的设备评分模型,分别确定其与音乐这一服务的服务评分模型的重合度。根据各待推荐设备的设备评分模型与音乐这一服务的服务评分模型的重合度,第一终端可确定出确定待推荐设备与待分布服务的匹配度。
例如,结合图4和图5中的(a),如图6所示,第一终端可将各待推荐设备的设 备评分模型分别与音乐这一服务的服务评分模型进行叠加,根据叠加结果便可确定待推荐设备的设备评分模型与音乐这一服务的服务评分模型的重合度。其中,可以认为重合度越高,匹配度越高。如,根据图6中的(a)-图6中的(f)所示的叠加结果,各待推荐设备的设备评分模型与音乐这一服务的服务评分模型的重合度从高到底的排序可以为:平板、车机、手机、电脑、电视、手表。第一终端根据该重合度,可确定各待推荐设备与音乐这一服务的匹配度从高到底的排序可以为:平板、车机、手机、电脑、电视、手表。
需要说明的是,以上实施例中,表2所给出的评分对照表,及表3-表6所给出的评分均是一种示例,在具体实现时,可以根据实际应用场景的需求进行设置,本实施例在此不做限定。另以上实施例中是以服务类型包括交互复杂度,服务数量和任务时长三个维度,环境因素包括环境私密性一个维度,人为隐私包括沉浸程度一个维度,设备的硬件配置包括屏幕尺寸一个维度为例,确定各待推荐设备及待分布服务的评分结果的。在其他一些实施例中,也可以以影响设备和服务匹配度的要素中的其他维度为依据对各待推荐设备及待分布服务进行评分。当然,影响设备和服务匹配度的要素也不仅限于本实施例中示出的服务类型,环境因素,人的因素及硬件配置,还可能存在其他的要素;各要素下的维度也不仅局限于表1所示的维度,还可能有其他维度,本实施例在此也不做限制。
另外,以上示例是以将不同类型的设备在各影响要素包括的各维度下的评分(如表4),及不同服务在各影响要素包括的各维度下的评分(如表6)存储在第一终端中,当需要确定设备及服务的匹配度时,第一终端根据存储的对应评分表获得对应评分然后根据获得的评分结果构建对应的评分模型,然后根据对应评分模型确定匹配度为例进行说明的。在其他一些实施例中,也可以将不同类型的设备评分模型,及不同服务的服务评分模型存储在第一终端中。如,以服务类型包括交互复杂度,服务数量和任务时长三个维度,环境因素包括环境私密性一个维度,人为隐私包括沉浸程度一个维度,设备的硬件配置包括屏幕尺寸一个维度,服务包括音乐,电影,游戏,瑜伽教程,邮件回复和短视频为例。可将图4示的设备评分模型,图5所示的服务评分模型存储在第一终端中。在图5所示的服务评分模型中,还包括图5中的(b)所示的电影这一服务的服务评分模型,图5中的(c)所示的游戏这一服务的服务评分模型,图5中的(d)所示的瑜伽教程这一服务的服务评分模型,图5中的(e)所示的邮件回复这一服务的服务评分模型,以及图5中的(f)所示的短视频这一服务的服务评分模型。这样,当需要确定设备及服务的匹配度时,第一终端可根据存储的对应评分模型直接确定匹配度。本实施例在此对第一终端中存储评分表还是评分模型并不做具体限制,可根据实际场景的需要进行选择设置。另,以上示例是以对不同服务进行评分时,所依据的影响要素及维度均相同为例进行说明的,在其他一些实施例中,对不同服务进行评分时,考虑的影响要素和/或维度也可以不同。但需确保对设备评分时考虑的影响要素和维度,与对服务评分时考虑的影响要素和维度相同,这样,才能够根据对应评分结果确定设备与服务的匹配度。
以上实施例的示例中,同一类型的设备在各影响要素包括的各维度下的评分是相同的,即同一类型的设备确定出的评分结果或者说得到的设备评分模型是相同的。考 虑到同一类型的不同设备可能在各影响要素包括的各维度下的参数存在差异,其对应评分也可能存在差异。如对于手机来说,有些手机的屏幕尺寸是6寸,有的手机的屏幕尺寸是8寸,而6寸和8寸对应的评分存在差异,如手机的屏幕尺寸是6寸时,对应评分为2-3分,手机的屏幕尺寸是8寸时,对应评分为3-4分。因此,在其他一些实施例中,第一终端在确定待推荐设备与待分布服务的匹配度时,也可以将某个或某些单个维度(该维度可以为本申请实施例中的第一维度)的评分考虑进来。例如,第一终端可根据各待推荐设备的设备评分模型与音乐这一服务的服务评分模型的重合度,以及某个或某些单个维度的评分,来确定各待推荐设备与待分布服务的匹配度。如,第一终端可以将重合度与各个维度的评分进行加权确定出待推荐设备与待分布服务的匹配度。其中重合度及各个维度的权重可以是预先定义并存储在第一终端的。又如,第一终端可以将重合度与各个维度的评分直接相加确定出待推荐设备与待分布服务的匹配度。作为一种示例,以第一终端根据重合度,维度1的评分和维度2的评分确定待推荐设备与待分布服务的匹配度,重合度的权重为a,维度1的权重为b,维度2的权重为c为例。第一终端在确定出重合度后,可确定该重合度对应的分值。如重合度的取值范围为0%-100%,对应分值的取值范围为0-10分。如,重合度为0%,其对应分值为0分,重合度为50%,对应分值为5分,重合度为100%,对应分值为10分。则匹配度=重合度对应分值*a+维度1的评分*b+维度2的评分*c,或者,匹配度=重合度对应分值+维度1的评分+维度2的评分。具体的计算方法本实施例在此不做限制。或者,第一终端在确定待推荐设备的设备评分模型时,如果该设备不仅上报了设备类型,还上报了某个或某些维度的具体参数,则对于上报了具体参数的这些维度,第一终端可采用该维度的具体参数对应的评分来构建设备评分模型,不根据该设备类型在该维度下对应的评分来构建设备评分模型。对于未上报具体参数的维度,可根据该设备类型在该维度下对应的评分来构建设备评分模型。如,对于待推荐设备是手机而言,如果手机上报了其屏幕尺寸,如8寸,对应评分为3-4分。而参照表4,手机这种类型的设备,在屏幕尺寸这个维度下的评分为2-3分。则第一终端可采用手机在屏幕尺寸这个维度下的具体参数如8寸,对应评分3-4分及其他维度的评分来构建设备评分模型。而不是根据手机这种类型的设备在屏幕尺寸这个维度下的评分2-3分来构建设备评分模型。这样,不仅可以体现出同一类型不同设备与服务匹配度的差异。而且,对于同一类型的不同待推荐设备,或者不同类型的待推荐设备与待分布服务的重合度相同时,能通过单个维度的评分,对其与服务的匹配度进行区分。
在另外一些实施例中,第一终端也可以先根据待推荐设备上报的单个维度的具体参数,对S201中获得的待推荐设备进行初选,以确定出针对哪些待推荐设备需执行S202,即针对哪些待推荐设备需确定与待分布服务的匹配度。对于初选未通过的设备,可不执行S202。例如,待分布服务为音乐,对于音视频质量对应评分高于阈值的设备,可用于继续实现该服务。因此,第一终端可在获取到待推荐设备后,根据各推荐设备上报的音视频质量的具体参数,确定哪些待推荐设备的音视频质量对应评分大于阈值。对于音视频质量对应评分大于阈值的待推荐设备,执行S202。对于音视频质量对应评分小于阈值的待推荐设备,不执行S202。也可以直接根据单个维度的具体参数确定是否需执行S202。
其中,需要说明的是,上述用于计算匹配度或用于初选的单个维度,可以是表1所示的影响要素中任意的维度。各维度对应的评分可以预先存储在第一终端中,如类似于表2所示的各维度评分标准对照表。另外,各待推荐设备的各个维度的具体参数(如设备的屏幕尺寸)可以是对应待推荐设备上报给第一终端的。类似于上述对上报待推荐设备的类型的描述,待推荐设备的各个维度的具体参数也可以携带在上述待推荐设备的设备信息中。具体描述可参考对上报待推荐设备的类型的描述,此处不再详细赘述。具体待推荐设备需上报哪些维度的具体参数,可以是预先定义的,也可以是第一终端指示的,如在上报设备信息的通知中指示需要上报哪些维度的具体参数,本实施例在此不做具体限制。
另外,如前述实施例的描述,服务的内容可以是界面,而用户想分布出去的具体内容可以是完整的界面,也可以是界面中的元素。可以理解的是,界面中的元素可以分为展示类元素、操控类元素等。展示类元素可以包括以下一种或多种:图片、视频、文本、图标、横幅(banner)。操控类元素可以包括以下一种或多种:按钮、进度滑块、工具栏。对于不同类型的元素,在进行分布时,可能需考虑的影响要素(影响设备和元素匹配度的要素)也是不同的。如,展示类元素对设备屏幕的尺寸有较高要求,操控类元素对设备支持的交互复杂度有较高要求。因此,对于需要将界面中的元素分布出去的场景,第一终端确定服务与待推荐设备的匹配度的具体实现可以是:确定该服务的内容,即界面中的各元素(如本申请实施例中的第一元素,第二元素)与待推荐设备的匹配度,以便以此为依据进行设备推荐。如,第一终端可针对各元素显示其对应的推荐列表。如显示与第一元素对应的第一推荐列表,待推荐设备与第一元素的匹配度越高,其设备标识在第一推荐列表中的推荐优先级越高。还显示与第二元素对应的第二推荐列表。待推荐设备与第二元素的匹配度越高,其设备标识在第二推荐列表中的推荐优先级越高。其中,确定各元素与待推荐设备的匹配度的具体实现可以是:第一终端中可预先存储不同元素在各影响要素包括的各维度下的评分。第一终端根据对应的评分表和需要分布出去的元素,可获取各元素的评分结果,然后确定评分模型,如称为元素评分模型。根据元素评分模型和设备评分模型,第一终端可确定出各元素与待推荐设备的匹配度。具体实现与确定服务与待推荐设备的匹配度的具体实现类似,此处不再详细赘述。类似的,如果用户想分布的服务包括的内容存在多个,如包括界面的元素,音频,视频中的两个或三个,则也可以确定内容与待推荐设备的匹配度,以便以此为依据进行设备推荐。
S203、第一终端根据各待推荐设备与待分布服务的匹配度进行设备推荐,匹配度越高待推荐设备的推荐优先级越高。
基于S202中确定出的各待推荐设备与待分布服务的匹配度,第一终端可按匹配度高低,进行设备推荐。示例性的,第一终端按各待推荐设备与待分布服务匹配度的高低,显示各待推荐设备的设备标识。如第一终端显示推荐列表,该推荐列表中包括各待推荐设备的设备标识。在本实施例中,与待分布服务匹配度越高的待推荐设备的推荐优先级越高,如与待分布服务匹配度越高的待推荐设备的设备标识在推荐列表中的排序越靠前,又如,与待分布服务匹配度越高的待推荐设备的设备标识在推荐列表中高亮标记的颜色越深。
例如,结合图6所示示例及对应描述,继续以待分布服务为音乐,如用户在使用第一终端的音乐应用听音乐,第一终端显示音乐详情界面,第一终端为手机(如手机1),手机1获取到的待推荐设备包括电脑,电视,手表,手机2和平板为例。如图7所示,手机1可在音乐详情界面701上,显示推荐列表702。在该推荐列表702中,推荐优先级从高到低的顺序为平板的设备标识703、手机(如手机2)的设备标识704、电脑的设备标识705、电视的设备标识706、手表的设备标识707。示例性的,推荐优先级可以是待推荐设备的设备标识在推荐列表中的排序,如在推荐列表中的排序越靠前,推荐优先级越高(如图7中所示),也就是说,匹配度越高,排序越靠前。推荐优先级也可以是待推荐设备的设备标识在推荐列表中的背景色,如背景色越深,推荐优先级越高,也就是说,匹配度越高,背景色越深。作为一种示例,设备标识可以包括设备的图标和/或名称,图7中以设备标识包括设备的图标和名称为例示出。
以上是以根据待推荐设备与待分布服务的匹配度来进行设备推荐为例进行说明的,在其他一些实施例中,也可以在进行设备推荐时,同时考虑待推荐设备与待分布服务的匹配度,以及待推荐设备是否与第一终端成功连接过。如,在显示推荐列表时,按照匹配度对待推荐设备的设备标识进行排序,另外,对于最近与第一终端连接过的待推荐设备,可以进行视觉上的提醒,如高亮或排序靠前。
需要说明的是,如前述实施例的描述,在第一终端先根据待推荐设备上报的单个维度的具体参数,对S201中获得的待推荐设备进行初选了,并仅针对了初选通过的待推荐设备确定了与待分布服务的匹配度的实现方式中,第一终端在显示推荐列表时,可以不显示初选未通过的待推荐设备的设备标识,也可以将初选未通过的待推荐设备的设备标识的显示在最后,或背景色设置为最浅,本实施例在此不做具体限制。另外,如果S202中第一终端将多个服务作为了待分布服务,则第一终端可针对每个待分布服务执行上述匹配过程。在这种场景下,S203中第一终端可将每个待分布服务的推荐列表显示在屏幕上,并标示出各推荐列表对应的待分布服务,供用户查看。
S204、第一终端接收对推荐列表中设备标识的选择操作。
S205、响应于S204中的选择操作,第一终端将待分布服务分布到设备标识对应设备上。
在第一终端显示推荐列表后,用户可根据推荐列表获知当前服务,或者说待分布服务可以分布到的设备,也可以根据推荐列表中排序的设备标识,获知各设备的推荐优先级。用户可根据自身需求和推荐优先级,从推荐列表中选择服务需分布到的设备,如用户可对推荐列表中想要选择设备的设备标识进行选择操作,如点击操作。第一终端可接收对应选择操作。在接收到对推荐列表中设备标识的选择操作后,作为对该选择操作的响应,第一终端可将待分布服务分布到用户所选择的设备标识对应的设备上。
如前述实施例中的描述,服务的内容可以包括界面,音频,视频等内容中的一个或多个。对于服务的内容包括界面的情况,第一终端可获取该界面的数据,并将该界面的数据发送给用户所选择的设备标识对应的设备。该设备根据接收到的数据,可在该设备的显示屏上显示对应界面,也就是说,将第一终端的界面显示到用户所选择的设备标识对应的设备上。
在一些实施例中,可采用分布式多媒体协议(Distributed Multi-media Protocol, DMP)来实现第一终端的界面在用户所选择的设备标识对应的设备上的显示(或者说投屏显示)。例如,第一终端可创建虚拟显示(VirtualDisplay)。之后,第一终端将第一终端的界面绘制到该VirtualDisplay中,以便第一终端获得第一终端的界面的数据,如称为录屏数据。第一终端可将录屏数据进行编码后发送给用户所选择的设备标识对应的设备。该设备可接收到对应数据,对该数据进行解码后便可获得录屏数据,根据录屏数据可实现第一终端的界面在该设备上的显示。在其他一些实施例中,也可以采用无线投影(Miracast)实现第一终端的界面在用户所选择的设备标识对应的设备上的投屏显示,即第一终端可获取该第一终端的界面的所有图层,然后将获得的所有图层整合成视频流并编码后通过实时流传输协议(real time streaming protocol,RTSP)协议发送给用户所选择的设备标识对应的设备。该设备在接收到视频流后可对其进行解码并播放,以实现第一终端的界面在该设备上的投屏显示。或者,第一终端可以将第一终端的界面进行指令抽取后获得指令流,并获取该界面的层信息等,之后通过将指令流及层信息等发送给用户所选择的设备标识对应的设备,用于其恢复出第一终端的界面,以实现第一终端的界面在该设备上的投屏显示。
对于服务的内容包括音频的情况,第一终端可获取该音频的数据,并将该音频的数据发送给用户所选择的设备标识对应的设备。该设备根据接收到的数据,可通过该设备播放对应音频。如,第一终端机可预先创建一个音频录音(AudioRecord)对象,并创建一个缓存(buffer)。在服务分布事件产生后,第一终端可调用该AudioRecord对象。在该AudioRecord对象被调用后,可对第一终端中的音频数据进行录制,以获得音频数据,该音频数据会被存储到创建的buffer中。在接收到用户对推荐列表中某设备标识的选择操作后,第一终端可从buffer中获得音频数据,并发送给用户所选择的设备标识对应的设备。
对于服务的内容包括视频的情况,第一终端可获取该视频的数据,并将该视频的数据发送给用户所选择的设备标识对应的设备。该设备根据接收到的数据,可通过该设备播放对应视频。视频的数据的获取过程与上述实现第一终端的界面在其他设备上显示的描述中录屏数据的获取方式类似,此处不再详细赘述。
对于服务的内容包括界面的某个或某些元素的情况,第一终端可获取这些元素的标识和该界面的数据(如指令流),并将元素的标识和界面的指令流发送给用户所选择的设备标识对应的设备。该设备根据接收到的元素的标识和界面的指令流,可在该设备的显示屏上显示对应元素。如该设备可根据元素的标识,从界面的指令流中抽取与该元素对应的画布(canvas)指令,从而根据该canvas指令实现该元素在该设备显示屏上的显示。
另外,如上述S201中的描述,第一终端获取的待推荐设备可能是与第一终端连接的设备,也可以是与第一终端未连接但在第一终端可连接范围内的设备。在用户选择的设备标识对应的设备是与第一终端连接的设备的情况下,第一终端可直接将服务分布到该设备上。在用户选择的设备标识对应的设备不是与第一终端连接的设备,而是与第一终端未连接但在第一终端可连接范围内的设备的情况下,在将服务分布到该设备之前,第一终端还需与该设备建立连接。
在一些实施例中,第一终端可与该设备采用有线的方式建立连接,如与该设备通 过数据线建立有线连接。
在其他一些实施例中,第一终端可与该设备采用无线的方式建立连接。设备之间采用无线方式建立连接有两点要求,一个是设备之间互相知晓对端的连接信息,另一个是各设备具有传输能力。也就是说,在第一终端和该设备具有传输能力,且互相会知道对端的连接信息的情况下,第一终端可采用无线的方式与该设备建立连接。其中,连接信息可以是设备的标识,如互联网协议(internet protocol,IP)地址,端口号或设备登录的账号等。设备登录的账号可以是运营商为用户提供的账号,如华为账号等。设备登录的账号还可以为应用账号,如微信 TM账号、优酷 TM账号等。设备具有传输能力可以是近场通信能力,也可以是长距离通信能力。也就是说,设备间,如第一终端与其他设备建立连接采用的无线通信协议可以是如无线保真(wireless fidelity,Wi-Fi)协议、蓝牙(Bluetooth)协议、ZigBee协议、近距离无线通信(near field communication,NFC)协议等近场通信协议,也可以是蜂窝网协议。连接所需的连接信息可以是第一终端在发现该设备的过程中,两者互相交换的。另外,第一终端发现设备所采用的无线通信协议,与和该设备建立连接所采用的无线通信协同可以相同,也可以不同。例如,第一终端采用蓝牙协议发现设备1,也可以与该设备1采用蓝牙协议建立连接,还可以与该设备1采用其他无线通信协议,如Wi-Fi协议建立连接,本实施例在此不做具体限制。
以下结合具体场景,对本实施例提供的设备推荐方法进行举例介绍。
例如,结合图3所示的场景,第一终端是手机301,用户家中配有电视机302,智能音箱303。如图8所示,用户可开启手机301的蓝牙功能。手机301可开启蓝牙广播监听(如图8中的S801)。
在电视机302的蓝牙功能开启的情况下,电视机302可发送蓝牙广播,如称为蓝牙广播1(如图8中的S802)。手机301可接收到该蓝牙广播1,以此确定电视机302邻近,或者说确定电视机302在可连接范围内。手机301可向电视机302发送上报设备信息的通知消息,如称为通知消息1(如图8中的S803)。电视机302接收到该通知消息1后,可向手机301发送自身的设备信息,如称为设备信息1(如图8中的S804)。该设备信息1中可包括电视机302的设备类型。该设备信息1中还可包括电视机302的连接信息,如电视机302的IP地址。手机301接收到该设备信息1后,可缓存电视机302的设备信息1(如图8中的S805)。
类似的,在智能音箱303的蓝牙功能开启的情况下,可发送蓝牙广播,如称为蓝牙广播2(如图8中的S806)。手机301可接收到该蓝牙广播2,以此确定智能音箱303邻近,或者说确定智能音箱303在可连接范围内。手机301可向智能音箱303发送上报设备信息的通知消息,如称为通知消息2(如图8中的S807)。智能音箱303接收到该通知消息2后,可向手机301发送自身的设备信息,如称为设备信息2(如图8中的S808)。该设备信息2中可包括智能音箱303的设备类型。该设备信息2中还可包括智能音箱303的连接信息,如智能音箱303的IP地址。手机301接收到该设备信息2后,可缓存智能音箱303的设备信息2(如图8中的S809)。
用户使用手机301播放电影(电影为待分布服务)。手机301检测到用户当前所处位置为用户家中,可确定当前场景满足服务分布条件(如图8中的S810)。手机301 可根据存储的设备信息1和设备信息2,分别确定电视机302和智能音箱303与电影这一服务的匹配度(如图8中的S811)。如,手机301根据设备信息1中包括的设备类型,确定电视在交互复杂度,服务数量,任务时长,环境私密性,沉浸程度,屏幕尺寸这六个维度的评分,获得评分结果1。手机301根据设备信息2中包括的设备类型,确定音箱在交互复杂度,服务数量,任务时长,环境私密性,沉浸程度,屏幕尺寸这六个维度的评分,获得评分结果2。手机301确定电影这一服务在交互复杂度,服务数量,任务时长,环境私密性,沉浸程度,屏幕尺寸这六个维度的评分,获得评分结果3。手机301根据评分结果1构造电视机302的设备评分模型,根据评分结果2构造智能音箱303的设备评分模型,根据评分结果3构造电影这一服务的服务评分模型。手机301根据电视机302的设备评分模型和电影这一服务的服务评分模型确定电视机302和电影这一服务的匹配度1,根据智能音箱303的设备评分模型和电影这一服务的服务评分模型确定智能音箱303和电影这一服务的匹配度2。如,匹配度1大于匹配度2。
手机301根据确定出的匹配度显示推荐列表(如图8中的S812)。
作为一种示例,如图9所示,手机301在播放电影时,显示播放界面901,手机301可在播放界面901上显示推荐列表902。在推荐列表902中推荐优先级从高到低的顺序为电视机302的设备标识903、智能音箱303的设备标识904。如果手机301接收到用户对电视机302的设备标识902的选择操作,则可将手机301播放的电影分布到电视机302中继续播放(如图8中的S813)。
作为又一种示例,手机301播放的电影包括音频和界面(或者说画面)。手机301还可分别确定音频与电视机302和智能音箱303的匹配度,确定界面与电视机302和智能音箱303的匹配度。针对音频,如智能音箱303的匹配度大于电视机302的匹配度,针对界面,可通过初选确定智能音箱303不具体显示功能,可认为电视机302的匹配度最高。如图10所示,手机301可在播放界面1001上显示推荐列表1002。在推荐列表1002中针对音频的推荐优先级从高到低的顺序为智能音箱303的设备标识1004、电视机302的设备标识1003;针对界面的推荐为电视机302的设备标识1003。如果手机301接收到用户针对界面的推荐中对电视机302的设备标识1003的选择操作,则可将手机301播放的电影的界面分布到电视机302中继续播放;手机301接收到用户针对音频的推荐中对智能音箱303的设备标识1004的选择操作,则可将手机301播放的电影的音频分布到智能音箱303中继续播放。
又例如,以第一终端是手机1为例。用户的车辆中配置有车机,HUD等。在用户驾驶车辆的过程中,使用手机1导航。手机1确定当前用户在驾驶车辆,即确定当前场景满足服务分布条件。手机1可获取在可连接范围内的待推荐设备,如手机1获取到待推荐设备包括:手机2,车机和HUD。手机1可分别确定手机2,车机和HUD与导航的匹配度。如手机1确定出与导航的匹配度由高到低的顺序为:车机、手机2、HUD。则手机1可显示推荐列表,该推荐列表中,车机的推荐优先级高于手机2的推荐优先级,手机2的推荐优先级高于HUD的推荐优先级。或者,手机1也可以按照导航中内容或导航界面中各元素与设备的匹配度,进行设备推荐。
又例如,以第一终端是手机为例。用户使用手机播放视频或音频,或浏览界面的 情况下,手机接收到用户输入的跨设备的拖拽操作。手机1可获取在可连接范围内的待推荐设备,并通过确定待推荐设备与服务(具体的可以是拖拽的对象)的匹配度,进行设备推荐。
作为一种示例,依照上述方法,如表7所示,本实施例针对不同服务,不同应用类型提供了一种推荐排序实例。
表7
Figure PCTCN2021118530-appb-000007
Figure PCTCN2021118530-appb-000008
Figure PCTCN2021118530-appb-000009
可以看的是,采用本实施例提供的方法,针对不同应用,不同服务(或服务的内容)可以给出适合该服务的推荐排序,能让用户更直观的看到或者说获知当前服务适合分布到的设备。另外,表7中给出了不同应用,不同服务内容对应的维度的权重排序,可按照该权重排序为对应维度设定权重,以便在确定服务与设备的匹配度时使用。在将服务分布到其他设备之前,该设备需要满足分布条件,如,AR/VR、耳机及手表的分布条件是处于佩戴状态;平板和车机的分布条件是亮屏;电视和电脑的分布条件是运行(或者说未休眠或关机);音箱的分布条件是通电(或者说开机)。在一些实施例中,可以将表7中不同应用,不同服务(或服务的内容)对应的设备推荐排序预先存储在第一终端中,这样,当有分布服务的需求时,可根据存储对应关系及发现的设备,直接进行设备推荐。
本实施例提供的技术方案,在终端确定满足服务分布条件后,终端可以设备的硬件配置、服务类型、人为因素及环境因素等影响设备和服务匹配程度的要素为依据,对设备和服务进行评分,以便根据评分结果确定设备与服务的匹配度。最后根据确定出的匹配度进行设备推荐。提高了设备推荐排序的准确性,提高了用户的使用体验。另外,终端还可以上述要素为依据对界面的元素(或服务的内容)进行评分,以便根据评分结果确定设备与界面元素(或服务的内容)的匹配度,以此为依据进行设备推荐,可进一步提高设备推荐排序的准确性。
图11为本申请实施例提供的一种设备推荐装置的组成示意图。如图11所示,该装置可以应用于第一终端(或者说第一设备),该装置可以包括:处理单元1101和显示单元1102。
处理单元1101,用于运行第一服务,在确定需将第一服务分布到其他设备时,获取至少一个第二设备。
显示单元1102,用于根据至少一个第二设备中各第二设备与第一服务的匹配度,显示至少一个第二设备的设备标识;其中,第二设备与第一服务的匹配度越高,第二设备的设备标识的推荐优先级越高。
进一步的,处理单元1101,还用于确定至少一个第二设备中各第二设备与第一服务的匹配度。
进一步的,处理单元1101确定至少一个第二设备中各第二设备与第一服务的匹配度,可以包括:针对至少一个第二设备中的各第二设备:获取第二设备在各维度的评分,获取第一服务在各维度的评分;根据第二设备在各维度的评分和第一服务在各维度的评分,确定第二设备与第一服务的匹配度;其中,各维度是按照影响设备与服务匹配度的不同因素划分的。
进一步的,处理单元1101根据第二设备在各维度的评分和第一服务在各维度的评分,确定第二设备与第一服务的匹配度,可以包括:根据第二设备在各维度的评分生成第二设备的设备评分模型,根据第一服务在各维度的评分生成第一服务的服务评分模型;获取设备评分模型和服务评分模型的重合度;根据重合度,确定第二设备与第一服务的匹配度;其中,设备评分模型和服务评分模型的重合度越高,对应第二设备与第一服务的匹配度越高。
进一步的,该装置还可以包括,接收单元1103,用于接收来自第二设备的设备信息,该设备信息可以包括第二设备的类型。
处理单元1101获取第二设备在各维度的评分,可以包括:根据第二设备的类型,从存储的不同类型的设备在各维度下的评分中,获取第二设备在各维度的评分。
进一步的,接收单元1103,用于接收来自第二设备的设备信息,该设备信息可以包括第二设备的类型和各维度中第一维度的参数。
处理单元1101获取第二设备在各维度的评分,可以包括:根据第二设备的类型,从存储的不同类型的设备在各维度下的评分中,获取第二设备在各维度中除第一维度外的其他维度的评分;根据第一维度的参数,从存储的第一维度在不同参数下的评分中,获取第二设备在第一维度的评分。
进一步的,处理单元1101获取第一服务在各维度的评分,可以包括:从存储的不同服务在各维度下的评分中,获取第一服务在各维度的评分。
进一步的,第一服务的内容包括界面,音频和视频中的一个或多个。
进一步的,当第一服务的内容包括界面,音频和视频中的两个或三个时,可分别根据该服务包括的各内容与至少一个第二设备中各第二设备的匹配度,进行设备推荐。如第一服务的内容包括第一内容(如界面)和第二内容(如音频),显示单元1102根据至少一个第二设备中各第二设备与第一服务的匹配度,显示至少一个第二设备的设备标识,可以包括:根据第一内容与各第二设备的匹配度显示推荐列表1,该推荐列表1中,与第一内容的匹配度越高的第二设备的设备标识排序越靠前;根据第二内容与各第二设备的匹配度显示推荐列表2,该推荐列表2中,与第二内容的匹配度越高的第二设备的设备标识排序越靠前。
其中,处理单元1101,还用于确定至少一个第二设备中各第二设备与第一服务的内容(如第一内容)的匹配度。
进一步的,处理单元1101确定至少一个第二设备中各第二设备与第一内容的匹配度,可以包括:针对至少一个第二设备中的各第二设备:获取第二设备在各维度的评分,获取第一内容在各维度的评分;根据第二设备在各维度的评分和第一内容在各维度的评分,确定第二设备与第一内容的匹配度;其中,各维度是按照影响设备与服务匹配度的不同因素划分的。
进一步的,处理单元1101根据第二设备在各维度的评分和第一内容在各维度的评分,确定第二设备与第一内容的匹配度,可以包括:根据第二设备在各维度的评分生成第二设备的设备评分模型,根据第一内容在各维度的评分生成第一内容的内容评分模型;获取设备评分模型和内容评分模型的重合度;根据重合度,确定第二设备与第一内容的匹配度;其中,设备评分模型和内容评分模型的重合度越高,对应第二设备与第一内容的匹配度越高。
其中,不同内容在各维度的评分可以预先存储在第一设备中。
进一步的,当第一服务的内容包括界面,该界面包括多个元素时,可分别根据该界面包括的各元素与至少一个第二设备中各第二设备的匹配度,进行设备推荐。如第一服务的内容包括第一界面,第一界面包括第一元素(如操控类元素)和第二元素(如展示类元素);显示单元1102根据至少一个第二设备中各第二设备与第一服务的匹配度,显示至少一个第二设备的设备标识,可以包括:根据第一元素与至少一个第二设备中各第二设备的匹配度,显示推荐列表1',在推荐列表1'中,与第一元素的匹配度越高的第二设备的设备标识排序越靠前。根据第二元素与至少一个第二设备中各第二设备的匹配度,显示推荐列表2',在推荐列表2'中,与第二元素的匹配度越高的第二设备的设备标识排序越靠前。
其中,处理单元1101,还用于确定至少一个第二设备中各第二设备与界面中的元素(如第一元素)的匹配度。
进一步的,处理单元1101确定至少一个第二设备中各第二设备与第一元素的匹配度,可以包括:针对至少一个第二设备中的各第二设备:获取第二设备在各维度的评分,获取第一元素在各维度的评分;根据第二设备在各维度的评分和第一元素在各维度的评分,确定第二设备与第一元素的匹配度;其中,各维度是按照影响设备与元素匹配度的不同因素划分的。
进一步的,处理单元1101根据第二设备在各维度的评分和第一元素在各维度的评分,确定第二设备与第一元素的匹配度,可以包括:根据第二设备在各维度的评分生成第二设备的设备评分模型,根据第一元素在各维度的评分生成第一元素的元素评分模型;获取设备评分模型和元素评分模型的重合度;根据重合度,确定第二设备与第一元素的匹配度;其中,设备评分模型和元素评分模型的重合度越高,对应第二设备与第一元素的匹配度越高。
其中,不同元素在各维度的评分可以预先存储在第一设备中。
进一步的,处理单元1101确定需将第一服务分布到其他设备,可以包括:接收到分布第一服务的操作;其中,分布第一服务的操作为触发第一设备无线投屏的操作,或,分布第一服务的操作为跨设备拖拽操作;或,确定当前场景满足服务分布条件。
本申请实施例还提供一种设备推荐装置,该装置可以应用于电子设备,如上述实施例中的第一终端或者说第一设备。该装置可以包括:处理器;用于存储处理器可执行指令的存储器;其中,处理器被配置为执行指令时使得该设备推荐装置实现上述方法实施例中第一终端执行的各个功能或者步骤。
本申请实施例还提供一种电子设备(该电子设备可以是终端,如可以为上述实施例中的第一终端或者说第一设备),该电子设备可以包括:显示屏、存储器和一个或 多个处理器。该显示屏、存储器和处理器耦合。该存储器用于存储计算机程序代码,该计算机程序代码包括计算机指令。当处理器执行计算机指令时,电子设备可执行上述方法实施例中第一终端执行的各个功能或者步骤。当然,该电子设备包括但不限于上述显示屏、存储器和一个或多个处理器。例如,该电子设备的结构可以参考图1所示的手机的结构。
本申请实施例还提供一种芯片系统,该芯片系统可以应用于电子设备,如前述实施例中的第一终端(或者说第一设备)。如图12所示,该芯片系统包括至少一个处理器1201和至少一个接口电路1202。该处理器1201可以是上述电子设备中的处理器。处理器1201和接口电路1202可通过线路互联。该处理器1201可以通过接口电路1202从上述电子设备的存储器接收并执行计算机指令。当计算机指令被处理器1201执行时,可使得电子设备执行上述实施例中手机或PC执行的各个步骤。当然,该芯片系统还可以包含其他分立器件,本申请实施例对此不作具体限定。
本申请实施例还提供一种计算机可读存储介质,用于存储电子设备,如上述第一终端运行的计算机指令。
本申请实施例还提供一种计算机程序产品,包括电子设备,如上述第一终端运行的计算机指令。
通过以上实施方式的描述,所属领域的技术人员可以清楚地了解到,为描述的方便和简洁,仅以上述各功能模块的划分进行举例说明,实际应用中,可以根据需要而将上述功能分配由不同的功能模块完成,即将装置的内部结构划分成不同的功能模块,以完成以上描述的全部或者部分功能。
在本申请所提供的几个实施例中,应该理解到,所揭露的装置和方法,可以通过其它的方式实现。例如,以上所描述的装置实施例仅仅是示意性的,例如,所述模块或单元的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,例如多个单元或组件可以结合或者可以集成到另一个装置,或一些特征可以忽略,或不执行。另一点,所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口,装置或单元的间接耦合或通信连接,可以是电性,机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的,作为单元显示的部件可以是一个物理单元或多个物理单元,即可以位于一个地方,或者也可以分布到多个不同地方。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外,在本申请各个实施例中的各功能单元可以集成在一个处理单元中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现,也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时,可以存储在一个可读取存储介质中。基于这样的理解,本申请实施例的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来,该软件产品存储在一个存储介质中,包括若干指令用以使得一个设备(可以是单片机,芯片等)或处理器(processor)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括:U盘、移动硬盘、只读存储器(read only  memory,ROM)、随机存取存储器(random access memory,RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
以上内容,仅为本申请的具体实施方式,但本申请的保护范围并不局限于此,任何在本申请揭露的技术范围内的变化或替换,都应涵盖在本申请的保护范围之内。因此,本申请的保护范围应以所述权利要求的保护范围为准。

Claims (12)

  1. 一种设备推荐方法,其特征在于,应用于第一设备,所述方法包括:
    所述第一设备运行第一服务;
    所述第一设备在确定需将所述第一服务分布到其他设备时,获取至少一个第二设备;
    所述第一设备根据所述至少一个第二设备中各第二设备与所述第一服务的匹配度,显示所述至少一个第二设备的设备标识;其中,所述第二设备与所述第一服务的匹配度越高,所述第二设备的设备标识的推荐优先级越高。
  2. 根据权利要求1所述的方法,其特征在于,在所述第一设备根据所述至少一个第二设备中各第二设备与所述第一服务的匹配度,显示所述至少一个第二设备的设备标识之前,还包括:
    所述第一设备确定所述至少一个第二设备中各第二设备与所述第一服务的匹配度。
  3. 根据权利要求2所述的方法,其特征在于,所述第一设备确定所述至少一个第二设备中各第二设备与所述第一服务的匹配度,包括:
    针对所述至少一个第二设备中的各第二设备,所述第一设备获取所述第二设备在各维度的评分;
    所述第一设备获取所述第一服务在所述各维度的评分;
    所述第一设备根据所述第二设备在所述各维度的评分和所述第一服务在所述各维度的评分,确定各所述第二设备与所述第一服务的匹配度;
    其中,所述各维度是按照影响设备与服务匹配度的不同因素划分的。
  4. 根据权利要求3所述的方法,其特征在于,所述第一设备根据所述第二设备在所述各维度的评分和所述第一服务在所述各维度的评分,确定所述第二设备与所述第一服务的匹配度,包括:
    所述第一设备根据所述第二设备在所述各维度的评分生成所述第二设备的设备评分模型,根据所述第一服务在所述各维度的评分生成所述第一服务的服务评分模型;
    所述第一设备获取所述设备评分模型和所述服务评分模型的重合度;
    所述第一设备根据所述重合度,确定所述第二设备与所述第一服务的匹配度;
    其中,设备评分模型和服务评分模型的重合度越高,对应第二设备与所述第一服务的匹配度越高。
  5. 根据权利要求3或4所述的方法,其特征在于,所述第一设备获取所述第二设备在各维度的评分,包括:
    所述第一设备接收来自所述第二设备的设备信息,所述设备信息包括所述第二设备的类型;
    所述第一设备根据所述第二设备的类型,从存储的不同类型的设备在所述各维度下的评分中,获取所述第二设备在所述各维度的评分。
  6. 根据权利要求3或4所述的方法,其特征在于,所述第一设备获取所述第二设备在各维度的评分,包括:
    所述第一设备接收来自所述第二设备的设备信息,所述设备信息包括所述第二设备的类型和所述各维度中第一维度的参数;
    所述第一设备根据所述第二设备的类型,从存储的不同类型的设备在所述各维度下的评分中,获取所述第二设备在所述各维度中除所述第一维度外的其他维度的评分;
    所述第一设备根据所述第一维度的参数,从存储的所述第一维度在不同参数下的评分中,获取所述第二设备在所述第一维度的评分。
  7. 根据权利要求3-6中任一项所述的方法,其特征在于,所述第一设备获取所述第一服务在所述各维度的评分,包括:
    所述第一设备从存储的不同服务在所述各维度下的评分中,获取所述第一服务在所述各维度的评分。
  8. 根据权利要求1-7中任一项所述的方法,其特征在于,所述第一服务的内容包括界面,音频和视频中的一个或多个。
  9. 根据权利要求1所述的方法,其特征在于,所述第一服务的内容包括第一界面,所述第一界面包括第一元素和第二元素;
    所述第一设备根据所述至少一个第二设备中各第二设备与所述第一服务的匹配度,显示所述至少一个第二设备的设备标识,包括:
    所述第一设备根据所述第一元素与所述至少一个第二设备中各第二设备的匹配度,显示第一推荐列表,所述第一推荐列表包括所述至少一个第二设备的设备标识,所述第二设备与所述第一元素的匹配度越高,所述第二设备的设备标识在所述第一推荐列表中的推荐优先级越高;
    所述第一设备根据所述第二元素与所述至少一个第二设备中各第二设备的匹配度,显示第二推荐列表,所述第二推荐列表包括所述至少一个第二设备的设备标识,所述第二设备与所述第二元素的匹配度越高,所述第二设备的设备标识在所述第二推荐列表中的推荐优先级越高。
  10. 根据权利要求1-9中任一项所述的方法,其特征在于,所述确定需将所述第一服务分布到其他设备,包括:
    所述第一设备接收到分布所述第一服务的操作;其中,所述分布所述第一服务的操作为触发所述第一设备无线投屏的操作,或,所述分布所述第一服务的操作为跨设备拖拽操作;或,
    所述第一设备确定当前场景满足服务分布条件。
  11. 一种设备推荐装置,其特征在于,包括:处理器;用于存储所述处理器可执行指令的存储器;
    其中,所述处理器被配置为执行所述指令时使得所述设备推荐装置实现如权利要求1-10中任一项所述的方法。
  12. 一种计算机可读存储介质,其上存储有计算机程序指令,其特征在于,所述计算机程序指令被电子设备执行时使得所述电子设备实现如权利要求1-10中任一项所述的方法。
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