CN113934927A

CN113934927A - Recommendation method and device for interactive equipment and electronic equipment

Info

Publication number: CN113934927A
Application number: CN202111110950.6A
Authority: CN
Inventors: 王波
Original assignee: Qingdao Haier Technology Co Ltd; Haier Smart Home Co Ltd
Current assignee: Qingdao Haier Technology Co Ltd; Haier Smart Home Co Ltd
Priority date: 2021-09-18
Filing date: 2021-09-18
Publication date: 2022-01-14

Abstract

The invention discloses a recommendation method and device for interactive equipment and electronic equipment. The recommendation method comprises the following steps: the method comprises the steps of collecting position data of a target user and historical operation data of each intelligent device in a first preset range, determining a plurality of first-class intelligent devices and a plurality of second-class intelligent devices based on the position data, the historical operation data and an interactive screening strategy, respectively forming a first device list and a second device list, combining the first device list and the second device list to form a target device list, selecting a target intelligent device to be recommended from the target device list based on environment information of the current environment of the target user and device control information of the target user in a first time period, and taking the target intelligent device as a first interactive inlet device for interacting with the target user. The invention solves the technical problems that the interactive equipment needs to be manually selected, the active interactive service of the intelligent equipment cannot be realized, and the user experience is reduced in the related technology.

Description

Recommendation method and device for interactive equipment and electronic equipment

Technical Field

The invention relates to the technical field of intelligent equipment, in particular to a recommendation method and device of interactive equipment and electronic equipment.

Background

With the rapid development of intelligent device technology, in order to make life and work more convenient and efficient, more and more users start to use user scenes, which are a series of automatic operations on various intelligent devices. In the related art, as shown in fig. 1, first, a user needs to select an interactive device (e.g., select a mobile phone terminal, or select a voice box terminal, etc.), execute a user scene through the selected interactive device, and after the execution of the user scene is completed, feedback an execution result to the user through the interactive device again (e.g., when the user executes the user scene through the mobile phone terminal, an execution completion message is pushed to the user through the mobile phone terminal again, the user executes the user scene through a sound box, and the execution completion message is played to the user through the sound box again), so that the user needs to manually select the interactive device to execute the user scene, and after the user executes the user scene through a certain interactive device, feedback of the execution result of the user scene can only be obtained through the interactive device, for example, when the user executes an away-from-home scene through the sound box, only an execution result can be obtained through the sound box, the user can not obtain the feedback of the execution result after leaving home, and the user experience is reduced.

In view of the above problems, no effective solution has been proposed.

Disclosure of Invention

The embodiment of the invention provides a recommendation method and device for interactive equipment and electronic equipment, and aims to at least solve the technical problems that the interactive equipment needs to be manually selected in the related art, active interactive service of intelligent equipment cannot be realized, and user experience is reduced.

According to an aspect of an embodiment of the present invention, there is provided a recommendation method for an interactive device, including: acquiring position data of a target user and historical operating data of each intelligent device in a first preset range, wherein the first preset range is a surrounding area with the current coordinate of the target user as a center; determining a plurality of first-class intelligent devices based on the position data, the historical operation data and a first interactive screening strategy to form a first device list; determining a plurality of second intelligent devices based on the position data, the historical operation data and a second interactive screening strategy to form a second device list; merging the first equipment list and the second equipment list to form a target equipment list; selecting target intelligent equipment to be recommended from the target equipment list based on the environmental information of the current environment of the target user and the equipment control information of the target user in a first time period, and taking the target intelligent equipment as first interaction inlet equipment interacting with the target user, wherein the first interaction inlet equipment is used for informing the target user of executing a recommendation scene.

Optionally, the step of determining a plurality of first-class intelligent devices based on the location data, the historical operating data, and the first interactive screening policy to form a first device list includes: determining a range space in which the target user is located based on the position data and the historical operating data; if the intelligent equipment exists in the range space where the target user is located, screening first-class intelligent equipment according to a first interactive screening strategy and the equipment type of the intelligent equipment to form a first equipment list, wherein the first-class intelligent equipment is unmoved equipment; if no intelligent device exists in the range space of the target user, determining a first type of intelligent device in a second preset range according to a first interactive screening strategy and the device type to form a first device list, wherein the second preset range is different from the first preset range.

Optionally, the first interaction screening policy includes: if the target user uses the first type of intelligent equipment within a preset time period, adding the first type of intelligent equipment into a first equipment list, or if the target user does not use the first type of intelligent equipment within the preset time period, determining the first type of intelligent equipment with the score value larger than a preset score threshold value according to a score selection mechanism, and adding the screened first type of intelligent equipment into the first equipment list.

Optionally, the step of determining a plurality of second-class intelligent devices based on the location data, the historical operating data, and a second interactive screening policy to form a second device list includes: determining a range space in which the target user is located based on the position data and the historical operating data; and screening second intelligent equipment according to the range space where the target user is located, a second interactive screening strategy and the equipment type of the intelligent equipment to form a second equipment list, wherein the second intelligent equipment is movable equipment.

Optionally, the second interactive screening policy includes: and if the target user uses the second type of intelligent equipment within a preset time period, adding the second type of intelligent equipment into a second equipment list, or if the target user does not use the second type of intelligent equipment within the preset time period, determining the second type of intelligent equipment with the score value larger than a preset score threshold value according to a score selection mechanism, and adding the screened second type of intelligent equipment into the second equipment list.

Optionally, before selecting a target intelligent device to be recommended from the target device list and using the target intelligent device as a first interaction entry device interacting with the target user, the recommendation method further includes: acquiring environmental information of the position of the target user based on the position data, the current time point and the weather feedback parameters; and acquiring the equipment control information of the target user in a first time period, wherein the equipment control information is stored in an equipment cloud.

Optionally, the environment information includes at least one of: time, temperature, humidity, season.

Optionally, after selecting a target intelligent device to be recommended from the target device list and using the target intelligent device as a first interaction entry device interacting with the target user, the recommendation method further includes: after the recommended scene is executed, recording scene execution information; and determining a second interaction entrance device based on scene execution information, wherein the second interaction entrance device is used for sending the scene execution information to the target user.

Optionally, the step of determining the second interactive portal device based on the scene execution information includes: updating the target device list based on the scene execution information; and determining the second interactive inlet device based on the intelligent device information in the updated target device list.

Optionally, the recommendation scenario includes at least one of: a home-coming scene, a away-from-home scene, a sleeping scene, and a getting-up scene.

According to another aspect of the embodiments of the present invention, there is also provided a recommendation apparatus for an interactive device, including: the system comprises a collecting unit, a processing unit and a control unit, wherein the collecting unit is used for collecting position data of a target user and historical operating data of each intelligent device in a first preset range, and the first preset range is a surrounding area taking the current coordinate of the target user as a center; the first determining unit is used for determining a plurality of first-class intelligent devices based on the position data, the historical operation data and a first interactive screening strategy to form a first device list; the second determining unit is used for determining a plurality of second intelligent devices to form a second device list based on the position data, the historical operation data and a second interactive screening strategy; a merging unit, configured to merge the first device list and the second device list to form a target device list; and the selecting unit is used for selecting target intelligent equipment to be recommended from the target equipment list based on the environmental information of the current environment of the target user and the equipment control information of the target user in a first time period, and taking the target intelligent equipment as first interactive inlet equipment for interacting with the target user, wherein the first interactive inlet equipment is used for informing the target user of executing a recommended scene.

Optionally, the first determining unit includes: a first determination module, configured to determine, based on the location data and the historical operating data, a range space in which the target user is located; the first screening module is used for screening a first type of intelligent equipment to form a first equipment list according to a first interactive screening strategy and the equipment type of the intelligent equipment if the intelligent equipment exists in the range space where the target user is located, wherein the first type of intelligent equipment is unmoved equipment; and the second determining module is used for determining the first type of intelligent equipment in a second preset range according to a first interactive screening strategy and the equipment type to form a first equipment list if the intelligent equipment does not exist in the range space where the target user is located, wherein the second preset range is different from the first preset range.

Optionally, the second determining unit includes: a third determining module, configured to determine, based on the location data and the historical operating data, a range space in which the target user is located; and the second screening module is used for screening a second type of intelligent equipment according to the range space where the target user is located, a second interactive screening strategy and the equipment type of the intelligent equipment to form a second equipment list, wherein the second type of intelligent equipment is movable equipment.

Optionally, the recommendation device further includes: the first acquisition module is used for acquiring the environmental information of the position where the target user is located based on the position data, the current time point and the weather feedback parameters before selecting the target intelligent equipment to be recommended from the target equipment list and using the target intelligent equipment as first interaction entrance equipment for interacting with the target user; the first obtaining module is used for obtaining the device control information of the target user in a first time period, wherein the device control information is stored in a device cloud.

Optionally, the recommendation device further includes: after a target intelligent device to be recommended is selected from the target device list and is used as a first interaction inlet device for interacting with the target user, a first recording module is used for recording scene execution information after the recommended scene is executed; a fourth determining module, configured to determine a second interaction portal device based on the scene execution information, where the second interaction portal device is configured to send the scene execution information to the target user.

Optionally, the fourth determining module includes: a first updating sub-module, configured to update the target device list based on the scene execution information; and the first determining submodule is used for determining the second interactive inlet equipment based on the intelligent equipment information in the updated target equipment list.

According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the recommendation method of the interaction device of any one of the above via execution of the executable instructions.

According to another aspect of the embodiments of the present invention, a computer-readable storage medium is further provided, where the computer-readable storage medium includes a stored computer program, and when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute the recommendation method for an interactive apparatus according to any one of the above items.

In the method, position data of a target user and historical operation data of each intelligent device in a first preset range are collected, a plurality of first-class intelligent devices are determined based on the position data, the historical operation data and a first interactive screening strategy to form a first device list, a plurality of second-class intelligent devices are determined based on the position data, the historical operation data and a second interactive screening strategy to form a second device list, the first device list and the second device list are combined to form a target device list, the target intelligent device to be recommended is selected from the target device list based on environment information of the current environment of the target user and device control information of the target user in a first time period, and the target intelligent device is used as a first interactive entry device for interacting with the target user. According to the method and the device, the intelligent device suitable for interacting with the user is determined by collecting the position data of the space where the user is located and based on the position data, the operation data of the intelligent device and the current surrounding environment, the user can obtain the active interaction service of the intelligent device, the interaction device does not need to be manually selected to execute a recommended scene, the experience feeling of the user is improved, the technical problems that the interaction device needs to be manually selected in the related technology, the active interaction service of the intelligent device cannot be realized, and the user experience is reduced are solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:

FIG. 1 is a flow chart of a conventional interactive device usage method;

FIG. 2 is a flow chart of a recommendation method for an alternative interactive device according to an embodiment of the present invention;

FIG. 3 is a flow diagram of an alternative screening strategy for smart devices according to an embodiment of the present invention;

FIG. 4 is a flow diagram of an alternative interaction prediction method according to an embodiment of the present invention;

fig. 5 is a schematic diagram of a recommendation device of an interactive apparatus according to an embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

To facilitate understanding of the invention by those skilled in the art, some terms or nouns referred to in the embodiments of the invention are explained below:

GUI: the Graphical User Interface is a computer operation User Interface displayed in a Graphical mode, and realizes human-computer interaction between a human and electronic equipment such as a computer.

VUI: voice User Interface, to realize human-machine audio interaction and feedback.

IOT: the Internet of things means that the ubiquitous connection of objects and people is realized through various possible network connections, and the intelligent perception, identification and management of the objects and the processes are realized.

The recommendation method related in the following embodiments of the present invention may be applied to any scene that needs to interact with a user, for example, before a scene of going home is executed, a wearable device (such as an intelligent bracelet) worn by the user reminds the user to execute the scene of going home, and after the execution is finished, the execution situation is reported to the user through an intelligent sound box, and the related intelligent interaction device includes but is not limited to: the recommendation method provided by the invention can be used for equipment inquiry, control and management, voice interaction, message notification, family space management and the like.

According to the method and the device, the spatial behavior data of the user are collected, the spatial position of the user is analyzed, active interaction is carried out through distributed multi-entry equipment (such as an application APP, an equipment screen, a voice sound box and the like) around the user, the scene execution result can be used for identifying more suitable interaction entry equipment and informing the user of the execution result through data collection after the scene execution is finished, active interaction service of the intelligent equipment can be achieved, the waiting time of the user for executing the entry equipment in a single scene is reduced, and the probability of feeding back the scene execution result to the user is improved.

The present invention will be described in detail with reference to examples.

Example one

In accordance with an embodiment of the present invention, there is provided a recommended method embodiment of an interactive device, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than here.

Fig. 2 is a flowchart of a recommendation method for an alternative interactive device according to an embodiment of the present invention, as shown in fig. 2, the method includes the following steps:

step S202, position data of a target user and historical operation data of each intelligent device in a first preset range are collected, wherein the first preset range is a surrounding area with the current coordinate of the target user as the center.

Step S204, a plurality of first-class intelligent devices are determined based on the position data, the historical operation data and the first interactive screening strategy, and a first device list is formed.

Step S206, a plurality of second intelligent devices are determined based on the position data, the historical operation data and the second interactive screening strategy, and a second device list is formed.

Step S208, merging the first device list and the second device list to form a target device list.

Step S210, selecting a target intelligent device to be recommended from the target device list based on the environmental information of the current environment where the target user is located and the device control information of the target user in the first time period, and using the target intelligent device as a first interaction entry device interacting with the target user, where the first interaction entry device is used to notify the target user of executing a recommendation scene.

Through the steps, the position data of a target user and the historical operation data of each intelligent device in a first preset range can be collected, a plurality of first-class intelligent devices are determined based on the position data, the historical operation data and a first interactive screening strategy to form a first device list, a plurality of second-class intelligent devices are determined based on the position data, the historical operation data and a second interactive screening strategy to form a second device list, the first device list and the second device list are combined to form a target device list, the target intelligent device to be recommended is selected from the target device list based on the environmental information of the current environment of the target user and the device control information of the target user in a first time period, and the target intelligent device is used as a first interactive entry device for interacting with the target user. According to the method and the device, the intelligent device suitable for interacting with the user is determined by collecting the position data of the space where the user is located and based on the position data, the operation data of the intelligent device and the current surrounding environment, the user can obtain the active interaction service of the intelligent device, the interaction device does not need to be manually selected to execute a recommended scene, the experience feeling of the user is improved, and the technical problems that the interaction device needs to be manually selected in the related technology, the active interaction service of the intelligent device cannot be realized, and the user experience is reduced are solved.

The following will explain the embodiments of the present invention in detail with reference to the above steps.

In the embodiment of the present invention, data such as historical operation data (e.g., time when the device starts to be used, time when the device is turned off, operation status of the device, and executed functions) of each smart device in a surrounding area of a user (i.e., a first preset range, a surrounding area centered on a current coordinate of the user, e.g., a home area where the user is currently located, a company area, etc.) and location data of the user are collected by a device controller, a sensor, etc. the location of the user may be located by a sensing module such as a sensor in the smart device or a wireless signal sent by the smart device, etc. to obtain the location data, e.g., when the user is in a bedroom, the sensing module (e.g., a microwave radar module) or the wireless signal may be located in the bedroom, the historical operation data of the smart device may be uploaded to an IOT cloud by the controller of the smart device, and storing in a storage module of the IOT cloud.

In the embodiment of the invention, according to the space where the user is located and the operation data of the intelligent devices, a first interaction screening strategy (namely, according to the recent use condition of the intelligent devices and the grading system of the intelligent devices) determines a plurality of intelligent devices of a first type (the intelligent devices are non-mobile devices, such as a display screen and a sound box installed in a living room), and forms a first device list (used for recording the non-mobile devices capable of interacting with the user).

Optionally, the step of determining a plurality of first-class intelligent devices based on the location data, the historical operating data, and the first interactive screening policy to form a first device list includes: determining a range space where the target user is located based on the position data and the historical operating data; if the intelligent equipment exists in the range space where the target user is located, screening first-class intelligent equipment according to a first interactive screening strategy and the equipment type of the intelligent equipment to form a first equipment list, wherein the first-class intelligent equipment is unmoved equipment; if the intelligent equipment does not exist in the range space of the target user, determining the first type of intelligent equipment in a second preset range according to the first interactive screening strategy and the equipment type to form a first equipment list, wherein the range of the second preset range is different from the range of the first preset range.

In the embodiment of the present invention, according to a space where a user is located, according to a first interactive screening policy and a device type of an intelligent device (which can be obtained from operating data of the intelligent device), a device (i.e., a first type of intelligent device) that executes an interactive action in the space is selected to join in a first device list, and if there is no interactive device in the space where the user is located, according to the first interactive screening policy and the device type of the intelligent device, a space intelligent device (i.e., a first type of intelligent device) in a space area (i.e., a second preset range) that is closer to the user is selected (e.g., the space where the user is located is a bedroom, and the second preset range may be a living room or a study room of an adjacent bedroom) is selected to join in the first device list.

Optionally, the first interactive screening policy includes: if the target user uses the first type of intelligent equipment within a preset time period, adding the first type of intelligent equipment into a first equipment list, or if the target user does not use the first type of intelligent equipment within the preset time period, determining the first type of intelligent equipment with the score value larger than a preset score threshold value according to a score selection mechanism, and adding the screened first type of intelligent equipment into the first equipment list.

In the embodiment of the present invention, the first interaction screening policy is that a spatial smart device (i.e., a first type of smart device, which is a non-moving device) used by a user is preferentially added to the first device list within a latest time period (i.e., within a preset time period, for example, within five minutes), if the user does not use the spatial smart device within the latest time period, the smart device is scored according to a score selection mechanism of the interactive device (i.e., scoring according to the capability of the interactive device, for example, scoring on a large screen is high), and if a score value obtained by the smart device is greater than a preset score threshold value (for example, a score of 7 is set in a score of 10), the smart device is selected to be added to the first device list, and one spatial smart device may be selected through different interaction types (for example, GUI, VUI, and the like).

Fig. 3 is a flowchart of an optional screening policy of an intelligent device according to an embodiment of the present invention, and as shown in fig. 3, it is first determined whether the intelligent device has been used by a user within a recent time period, and if the intelligent device has been used, the intelligent device is added to a device list, otherwise, the intelligent device is scored according to a scoring selection mechanism of an interactive device, and if the score value obtained by the intelligent device is greater than a preset scoring threshold, the intelligent device is selected to be added to the device list.

In the embodiment of the present invention, according to the space where the user is located and the operation data of the smart device, a second interaction screening policy (i.e., according to the recent usage condition of the smart device and the scoring system of the smart device) determines a plurality of second types of smart devices (which are mobile devices, for example, a bracelet, a watch, a mobile phone, a tablet, etc. around the user), so as to form a second device list (for recording the mobile devices that can interact with the user).

Optionally, the step of determining a plurality of second-type intelligent devices based on the location data, the historical operating data, and the second interactive screening policy to form a second device list includes: determining a range space where the target user is located based on the position data and the historical operating data; and screening the second type of intelligent equipment according to the range space where the target user is located, the second interactive screening strategy and the equipment type of the intelligent equipment to form a second equipment list, wherein the second type of intelligent equipment is movable equipment.

In the embodiment of the invention, according to the space where the user is located, according to the second interactive screening strategy and the device type of the smart device (which can be obtained from the operating data of the smart device), the mobile smart device (i.e. the second type of smart device) around the user is selected to join the second device list, for example, the smart device such as a mobile phone and a bracelet is located around the user, while the current user is using the mobile phone, the mobile terminal is preferentially recommended to join the interactive device currently used by the user into the second device list.

Optionally, the second interactive screening policy includes: and if the target user uses the second type of intelligent equipment within the preset time period, adding the second type of intelligent equipment into a second equipment list, or if the target user does not use the second type of intelligent equipment within the preset time period, determining the second type of intelligent equipment with the score value larger than a preset score threshold value according to a score selection mechanism, and adding the screened second type of intelligent equipment into the second equipment list.

In this embodiment of the present invention, the second interaction screening policy is that a mobile smart device (i.e., a second type of smart device, which is a mobile device) used by the user is preferentially added to the second device list within a recent time period (i.e., within a preset time period, for example, within five minutes), if the user does not use the mobile smart device within the recent time period, the smart device is scored according to a score selection mechanism of the interactive device (i.e., scoring according to the capability of the interactive device, for example, scoring on a large screen is high), and if the score value obtained by the smart device is greater than a preset score threshold value (for example, a score of 7 is set as a threshold value in a score of 10 full), the smart device is selected to be added to the second device list, and a mobile smart device may be selected according to different interaction types (for example, GUI, VUI, and the like).

In the embodiment of the present invention, the non-moving smart devices in the first device list may be merged and moved into the second device list to form a new target device list, and the smart devices in the target device list (including the non-moving smart devices and the movable smart devices) may be sorted according to the latest usage status of the smart devices and the scoring system of the smart devices in the order of not moving the smart devices first and then moving the smart devices or moving the smart devices first and then not moving the smart devices.

In the embodiment of the present invention, based on a target device list, environment information (i.e., information about temperature, humidity, season, time, etc. of an environment where a user is currently located), and device control information (e.g., device type, time when the device starts to be used, time when the device is turned off, operating conditions of the device and executed functions during a first time period) of a target user during the first time period (i.e., the current time period), a first interactive portal device (i.e., an interactive device for sending a recommended scene to the user, which may be an intelligent device displaying a message or an intelligent device performing a voice notification, specifically, by selecting environment information around the user, for example, an intelligent device avoiding selecting a voice notification as much as possible in a sleeping environment) is determined, and the recommended scene is sent to the target user through the first interactive portal device, that a message may be broadcasted through voice, And informing the user of executing the recommendation scene in modes of APP notification reminding, equipment multi-screen reminding and the like.

Optionally, before selecting a target intelligent device to be recommended from the target device list and using the target intelligent device as a first interaction entry device interacting with a target user, the recommendation method further includes: acquiring environmental information of the position of a target user based on the position data, the current time point and the weather feedback parameters; the method comprises the steps of obtaining equipment control information of a target user in a first time period, wherein the equipment control information is stored in an equipment cloud.

In the embodiment of the invention, the intelligent device at the position of the user can upload the surrounding environment information to the cloud, for example, the intelligent device such as the user in the living room, the smart watch and the like can upload the information such as the current time, the temperature and humidity of the living room, the current weather condition and the like to the cloud, and the environment information at the position of the user and the device control information in the current time period can be obtained through the cloud.

Optionally, after selecting a target intelligent device to be recommended from the target device list and using the target intelligent device as a first interaction entry device interacting with a target user, the recommendation method further includes: after the recommended scene is executed, recording scene execution information; and determining a second interaction entrance device based on the scene execution information, wherein the second interaction entrance device is used for sending the scene execution information to the target user.

In the embodiment of the present invention, after the recommended scene is executed, information such as an execution result is recorded, an interactive portal device (i.e., a second interactive portal device) suitable for the user is predicted again according to environment information after the scene is executed, and the execution result and specific action information executed by the scene are notified to the user through the second interactive portal device according to a notification form of the device type (e.g., voice broadcast, message notification, popup, etc.).

Optionally, the step of determining the second interactive portal device based on the scene execution information includes: updating a target device list based on the scene execution information; and determining second interactive inlet equipment based on the intelligent equipment information in the updated target equipment list.

In the embodiment of the present invention, the target device list is updated according to changes such as environment information after the scene execution is completed, and a suitable smart device (i.e., the second interactive entry device) is selected according to the smart device information in the updated interactive device list.

According to the embodiment of the invention, the spatial position of the user is predicted by collecting the behavior data of the space where the user is located, and based on the spatial position, the appropriate entrance device is used for interacting the scene execution notice and the execution result notice with the user, so that the active interaction service of the intelligent device can be provided for the user, the waiting time of the user for executing the entrance device in a single scene can be reduced, the probability of notifying the user of the execution result is improved, and the experience of the user is improved.

Example two

Fig. 4 is a flowchart of an alternative interactive prediction method according to an embodiment of the present invention, and as shown in fig. 4, the method specifically includes the following steps:

step 1: and (3) interactive data collection: analyzing the space behavior of a user through sensors such as equipment control data and human behavior acquisition to form event data, namely detecting the space of the user and interactive equipment information close to the user through data such as equipment control and equipment sensing;

step 2: selecting a space interaction entrance device: detecting interactive inlet equipment with interactive capacity in the space through space behaviors;

(1) if the space where the user is located has interactive equipment, selecting a space interactive entrance, and based on the user space interactive equipment, selecting the equipment used in the recent time period according to the 'hot' interaction priority (namely, preferentially selecting the equipment used in the recent time period), or else, selecting a space intelligent equipment according to the interactive equipment grading selection mechanism (namely, grading according to the equipment interaction capacity, such as large screen grading and the like), and selecting a space intelligent equipment according to different interaction types (such as GUI, VUI and the like) to form a space interactive entrance equipment list;

(2) if the user is in the empty space without the interactive equipment, selecting equipment in the space close to the user, and selecting one piece of space intelligent equipment according to the selection principle to form a space interactive inlet equipment list;

and step 3: mobile interactive portal device selection: selecting a mobile intelligent device according to a mobile device interaction rule (namely, according to 'hot' interaction priority, or else, according to an interaction device score selection mechanism) to form a mobile interaction entrance device list;

and 4, step 4: merging the interactive equipment list to be used as an equipment list interacted with the user finally;

and 5: determining an interactive portal device interacting with a user: and selecting a proper interactive entrance device from the device list by combining the environmental information around the user.

According to the embodiment of the invention, the spatial position of the user is predicted by collecting the behavior data of the space where the user is located, then the equipment list capable of interacting with the user is obtained by combining the running state of the equipment, and then the appropriate interaction entrance equipment is selected to interact with the user by collecting the surrounding environment information of the user, so that the active interaction service of the intelligent equipment can be realized, and the user experience is improved.

EXAMPLE III

The recommendation apparatus for an interactive device provided in this embodiment includes a plurality of implementation units, and each implementation unit corresponds to each implementation step in the first embodiment.

Fig. 5 is a schematic diagram of a recommendation apparatus of an interaction device according to an embodiment of the present invention, and as shown in fig. 5, the recommendation apparatus may include: an acquisition unit 50, a first determination unit 52, a second determination unit 54, a merging unit 56, a selection unit 58, wherein,

the system comprises an acquisition unit 50, a processing unit and a control unit, wherein the acquisition unit is used for acquiring position data of a target user and historical operating data of each intelligent device in a first preset range, and the first preset range is a surrounding area taking the current coordinate of the target user as a center;

a first determining unit 52, configured to determine, based on the location data, the historical operating data, and the first interactive screening policy, a plurality of first-class intelligent devices to form a first device list;

a second determining unit 54, configured to determine a plurality of second-class intelligent devices based on the location data, the historical operating data, and a second interactive screening policy, so as to form a second device list;

a merging unit 56, configured to merge the first device list and the second device list to form a target device list;

the selecting unit 58 is configured to select a target intelligent device to be recommended from the target device list based on the environment information of the current environment where the target user is located and the device control information of the target user in the first time period, and use the target intelligent device as a first interaction entry device interacting with the target user, where the first interaction entry device is used to notify the target user of executing a recommendation scene.

The recommending device can acquire the position data of the target user and the historical operating data of each intelligent device in the first preset range through the acquisition unit 50, a plurality of intelligent devices of a first type are determined by the first determining unit 52 based on the location data, the historical operating data, and the first interactive screening policy, a first device list is formed, a plurality of second type intelligent devices are determined by the second determining unit 54 based on the location data, the historical operating data and the second interactive screening policy, a second device list is formed, the first device list and the second device list are merged by the merging unit 56, forming a target device list, the selecting unit 58 selects the target intelligent device to be recommended from the target device list based on the environmental information of the current environment where the target user is located and the device operation information of the target user in the first time period, and uses the target intelligent device as a first interaction entry device for interacting with the target user. According to the method and the device, the intelligent device suitable for interacting with the user is determined by collecting the position data of the space where the user is located and based on the position data, the operation data of the intelligent device and the current surrounding environment, the user can obtain the active interaction service of the intelligent device, the interaction device does not need to be manually selected to execute a recommended scene, the experience feeling of the user is improved, and the technical problems that the active interaction service of the intelligent device cannot be realized and the user experience is reduced due to the fact that the interaction device needs to be manually selected in the related technology are solved.

Optionally, the first determining unit includes: the first determining module is used for determining the range space where the target user is located based on the position data and the historical operating data; the first screening module is used for screening a first type of intelligent equipment to form a first equipment list according to a first interactive screening strategy and the equipment type of the intelligent equipment if the intelligent equipment exists in the range space where the target user is located, wherein the first type of intelligent equipment is unmoved equipment; and the second determining module is used for determining the first type of intelligent equipment in a second preset range according to the first interactive screening strategy and the equipment type to form a first equipment list if the intelligent equipment does not exist in the range space where the target user is located, wherein the range of the second preset range is different from that of the first preset range.

Optionally, the second determining unit includes: the third determining module is used for determining the range space where the target user is located based on the position data and the historical operating data; and the second screening module is used for screening second intelligent equipment according to the range space where the target user is located, a second interactive screening strategy and the equipment type of the intelligent equipment to form a second equipment list, wherein the second intelligent equipment is movable equipment.

Optionally, the recommending apparatus further includes: the first acquisition module is used for acquiring the environmental information of the position of the target user based on the position data, the current time point and the weather feedback parameters before the target intelligent equipment to be recommended is selected from the target equipment list and is used as first interaction inlet equipment for interacting with the target user; the first obtaining module is used for obtaining equipment control information of a target user in a first time period, wherein the equipment control information is stored in an equipment cloud.

Optionally, the recommending apparatus further includes: after the target intelligent equipment to be recommended is selected from the target equipment list and is used as first interaction inlet equipment for interacting with a target user, the first recording module is used for recording scene execution information after the recommended scene is executed; and the fourth determining module is used for determining second interactive inlet equipment based on the scene execution information, wherein the second interactive inlet equipment is used for sending the scene execution information to the target user.

Optionally, the fourth determining module includes: the first updating submodule is used for updating the target equipment list based on the scene execution information; and the first determining submodule is used for determining the second interactive inlet equipment based on the intelligent equipment information in the updated target equipment list.

The recommendation device may further include a processor and a memory, where the acquisition unit 50, the first determination unit 52, the second determination unit 54, the merging unit 56, the selection unit 58, and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.

The processor comprises a kernel, and the kernel calls a corresponding program unit from the memory. The kernel can be set to be one or more, and target intelligent equipment to be recommended is selected from the target equipment list by adjusting kernel parameters.

The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.

The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: the method comprises the steps of collecting position data of a target user and historical operating data of each intelligent device in a first preset range, determining a plurality of first-class intelligent devices based on the position data, the historical operating data and a first interactive screening strategy, forming a first device list, determining a plurality of second-class intelligent devices based on the position data, the historical operating data and a second interactive screening strategy, forming a second device list, combining the first device list and the second device list, forming a target device list, selecting target intelligent devices to be recommended from the target device list based on environmental information of the current environment of the target user and device control information of the target user in a first time period, and taking the target intelligent devices as first interactive inlet devices for interacting with the target user.

According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including: a processor; and a memory for storing executable instructions for the processor; wherein the processor is configured to perform the recommendation method of the interaction device of any of the above via execution of the executable instructions.

According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, and when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute the recommendation method of the interaction apparatus in any item above.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.

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

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

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims

1. A recommendation method for an interactive device, comprising:

acquiring position data of a target user and historical operating data of each intelligent device in a first preset range, wherein the first preset range is a surrounding area with the current coordinate of the target user as a center;

determining a plurality of first-class intelligent devices based on the position data, the historical operation data and a first interactive screening strategy to form a first device list;

determining a plurality of second intelligent devices based on the position data, the historical operation data and a second interactive screening strategy to form a second device list;

merging the first equipment list and the second equipment list to form a target equipment list;

selecting target intelligent equipment to be recommended from the target equipment list based on the environmental information of the current environment of the target user and the equipment control information of the target user in a first time period, and taking the target intelligent equipment as first interaction inlet equipment interacting with the target user, wherein the first interaction inlet equipment is used for informing the target user of executing a recommendation scene.

2. The recommendation method according to claim 1, wherein the step of determining a plurality of intelligent devices of a first type based on the location data, the historical operating data, and a first interactive screening policy to form a first device list comprises:

determining a range space in which the target user is located based on the position data and the historical operating data;

if the intelligent equipment exists in the range space where the target user is located, screening first-class intelligent equipment according to a first interactive screening strategy and the equipment type of the intelligent equipment to form a first equipment list, wherein the first-class intelligent equipment is unmoved equipment;

if no intelligent device exists in the range space of the target user, determining a first type of intelligent device in a second preset range according to a first interactive screening strategy and the device type to form a first device list, wherein the second preset range is different from the first preset range.

3. The recommendation method according to any one of claims 1 or 2,

the first interactive screening policy comprises: if the target user uses the first type of intelligent equipment within a preset time period, adding the first type of intelligent equipment into a first equipment list, or if the target user does not use the first type of intelligent equipment within the preset time period, determining the first type of intelligent equipment with the score value larger than a preset score threshold value according to a score selection mechanism, and adding the screened first type of intelligent equipment into the first equipment list.

4. The recommendation method according to claim 1, wherein the step of determining a plurality of second-class smart devices based on the location data, the historical operating data, and a second interactive screening policy to form a second device list comprises:

and screening second intelligent equipment according to the range space where the target user is located, a second interactive screening strategy and the equipment type of the intelligent equipment to form a second equipment list, wherein the second intelligent equipment is movable equipment.

5. The recommendation method according to any one of claims 1 or 4,

the second interactive screening policy comprises: and if the target user uses the second type of intelligent equipment within a preset time period, adding the second type of intelligent equipment into a second equipment list, or if the target user does not use the second type of intelligent equipment within the preset time period, determining the second type of intelligent equipment with the score value larger than a preset score threshold value according to a score selection mechanism, and adding the screened second type of intelligent equipment into the second equipment list.

6. The recommendation method according to claim 1, wherein before selecting a target smart device to be recommended from the target device list and using the target smart device as a first interaction entry device for interacting with the target user, the recommendation method further comprises:

acquiring environmental information of the position of the target user based on the position data, the current time point and the weather feedback parameters;

and acquiring the equipment control information of the target user in a first time period, wherein the equipment control information is stored in an equipment cloud.

7. The recommendation method according to claim 4, wherein the environment information includes at least one of: time, temperature, humidity, season.

8. The recommendation method according to claim 1, wherein after selecting a target smart device to be recommended from the target device list and using the target smart device as a first interaction entry device for interacting with the target user, the recommendation method further comprises:

after the recommended scene is executed, recording scene execution information;

and determining a second interaction entrance device based on scene execution information, wherein the second interaction entrance device is used for sending the scene execution information to the target user.

9. The recommendation method according to claim 8, wherein the step of determining the second interactive portal device based on the scene execution information comprises:

updating the target device list based on the scene execution information;

and determining the second interactive inlet device based on the intelligent device information in the updated target device list.

10. The recommendation method according to claim 1, wherein the recommendation scenario includes at least one of: a home-coming scene, a away-from-home scene, a sleeping scene, and a getting-up scene.

11. A recommendation apparatus for an interactive device, comprising:

the system comprises a collecting unit, a processing unit and a control unit, wherein the collecting unit is used for collecting position data of a target user and historical operating data of each intelligent device in a first preset range, and the first preset range is a surrounding area taking the current coordinate of the target user as a center;

the first determining unit is used for determining a plurality of first-class intelligent devices based on the position data, the historical operation data and a first interactive screening strategy to form a first device list;

the second determining unit is used for determining a plurality of second intelligent devices to form a second device list based on the position data, the historical operation data and a second interactive screening strategy;

a merging unit, configured to merge the first device list and the second device list to form a target device list;

and the selecting unit is used for selecting target intelligent equipment to be recommended from the target equipment list based on the environmental information of the current environment of the target user and the equipment control information of the target user in a first time period, and taking the target intelligent equipment as first interactive inlet equipment for interacting with the target user, wherein the first interactive inlet equipment is used for informing the target user of executing a recommended scene.

12. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the recommendation method of the interaction device of any of claims 1 to 10 via execution of the executable instructions.

13. A computer-readable storage medium, comprising a stored computer program, wherein when the computer program runs, the computer-readable storage medium controls an apparatus to execute the recommendation method of the interaction apparatus according to any one of claims 1 to 10.