CN115268290A - Recommendation method and electronic device - Google Patents

Abstract

The present application discloses a recommendation method and an electronic device, and relates to the field of household technology. After receiving the recommendation request for the operating parameters of the first device, the electronic device can, based on each reference home device group in the multiple reference home device groups within the historical period, use the multiple candidate operating parameters for each candidate operating parameter. The proportion of the first times of the times of operation is determined, the recommended score of each reference home appliance group for each candidate operation parameter of the plurality of candidate operation parameters is determined, and the recommended operation parameter is determined based on the recommended score. It can be seen that when the electronic device determines the recommended operating parameters for the first household device, the recommended scores of each reference household device group for each candidate operating parameter are considered, that is, the data used in determining the recommended operating parameters is relatively comprehensive. Therefore, it can be ensured that the determined recommended operating parameters are highly accurate and objective.

Description

Recommended methods and electronic equipment

technical field

The present application relates to the field of household technology, in particular to a recommendation method and electronic equipment.

Background technique

Users can control the operation of household equipment (such as air conditioners) through mobile terminals. The mobile terminal can recommend target operating parameters to the user through the historical operating parameters of the home equipment, and can control the home equipment to operate with the target operating parameters after receiving an operating instruction for the target operating parameters.

In related technologies, the mobile terminal may determine the historical operating parameter with the largest number of times of operation among multiple historical operating parameters of the household device as the target operating parameter.

However, the operating parameters of the household equipment recommended by the recommendation method in the related art are not accurate enough.

Contents of the invention

The present application provides a recommendation method and an electronic device, which can solve the problem that the operating parameters of household devices recommended by the recommendation method in the related art are not accurate enough. Described technical scheme is as follows:

In one aspect, a method for recommending operating parameters of household equipment is provided, which is applied to electronic equipment; the method includes:

In response to a recommendation request for operating parameters of a first home appliance, determining a plurality of reference home appliance groups, each of said reference home appliance groups including at least one second home appliance of the same type as said first home appliance;

For each of the reference home appliance groups, obtain the ratio of the first number of times the reference home appliance group operates with each candidate operating parameter in a plurality of candidate operating parameters within a historical period;

Based on the ratio of the number of first times that the multiple reference household equipment groups operate with each of the candidate operating parameters within the historical period, determine the contribution of each of the reference household equipment groups to each of the multiple candidate operating parameters. The recommended score of a candidate operating parameter;

Based on the recommendation scores of the target home appliance group in the plurality of reference home appliance groups for the plurality of candidate operating parameters, determine the recommended operating parameter with the highest recommended score from the plurality of candidate operating parameters;

Wherein, the similarity between the object data of the object to which the second household device belongs and the object data of the object to which the first household device belongs is greater than a similarity threshold in the target household device group.

In another aspect, a method for recommending household equipment is provided, which is applied to electronic equipment; the method includes:

In response to the recommendation request for the home equipment that needs to be started when the first home system starts the target home scene, a plurality of reference home system groups are determined, wherein each of the reference home system groups includes at least one second home system, and each Each of the second home systems includes at least two candidate home devices among a plurality of candidate home devices applicable to the target home scene;

For each of the reference home system groups, when the reference home system group activates the target home scene in a historical period, the third number of startup times of each of the candidate home devices among the plurality of candidate home devices is acquired. proportion of times;

Based on the proportion of the third number of startup times of the plurality of candidate home devices when the target home scene is activated by the plurality of reference home system groups, determine the contribution of each of the reference home system groups to the plurality of candidate home devices. Recommendation score for each candidate home device in the device;

Based on the recommendation scores of the target home system group in the plurality of reference home system groups to the plurality of candidate home devices, determine a plurality of recommended home devices with a recommendation score greater than a score threshold from the plurality of candidate home devices , wherein the similarity between the object data of the object belonging to the second home system in the target home system group and the object data of the object belonging to the first home system is greater than a similarity threshold.

In yet another aspect, an electronic device is provided, and the electronic device includes: a processor; the processor is used for:

In response to a recommendation request for operating parameters of a first home appliance, determining a plurality of reference home appliance groups, each of said reference home appliance groups including at least one second home appliance of the same type as said first home appliance;

For each of the reference home appliance groups, obtain the ratio of the first number of times the reference home appliance group operates with each candidate operating parameter in a plurality of candidate operating parameters within a historical period;

Based on the ratio of the number of first times that the multiple reference household equipment groups operate with each of the candidate operating parameters within the historical period, determine the contribution of each of the reference household equipment groups to each of the multiple candidate operating parameters. The recommended score of a candidate operating parameter;

Based on the recommendation scores of the target home appliance group in the plurality of reference home appliance groups for the plurality of candidate operating parameters, determine the recommended operating parameter with the highest recommended score from the plurality of candidate operating parameters;

Wherein, the similarity between the object data of the object to which the second household device belongs and the object data of the object to which the first household device belongs is greater than a similarity threshold in the target household device group.

In another aspect, an electronic device is provided, and the electronic device includes: a processor; the processor is used for:

In response to the recommendation request for the home equipment that needs to be started when the first home system starts the target home scene, a plurality of reference home system groups are determined, wherein each of the reference home system groups includes at least one second home system, and each Each of the second home systems includes at least two candidate home devices among a plurality of candidate home devices applicable to the target home scene;

For each of the reference home system groups, when the reference home system group activates the target home scene in a historical period, the third number of startup times of each of the candidate home devices among the plurality of candidate home devices is acquired. proportion of times;

Based on the proportion of the third number of startup times of the plurality of candidate home devices when the target home scene is activated by the plurality of reference home system groups, determine the contribution of each of the reference home system groups to the plurality of candidate home devices. Recommendation score for each candidate home device in the device;

Based on the recommendation scores of the target home system group in the plurality of reference home system groups to the plurality of candidate home devices, determine a plurality of recommended home devices with a recommendation score greater than a score threshold from the plurality of candidate home devices , wherein the similarity between the object data of the object belonging to the second home system in the target home system group and the object data of the object belonging to the first home system is greater than a similarity threshold.

In another aspect, an electronic device is provided, and the electronic device includes: a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the computer program Realize the method for recommending the operating parameters of the household equipment as described in the above aspect, or implement the method for recommending the household equipment as described in the above aspect.

In yet another aspect, a computer-readable storage medium is provided, and a computer program is stored in the computer-readable storage medium, and the computer program is loaded and executed by a processor to realize the operating parameters of the household equipment as described in the above aspect. , or a recommended method for implementing the household equipment described in the above aspect.

In yet another aspect, a computer program product containing instructions is provided, and when the computer program product is run on the computer, the computer is made to execute the method for recommending the operating parameters of the household equipment described in the above aspects, or to implement Recommended methods for home appliances as described in the aspects above.

The beneficial effects brought by the technical solution provided by the application at least include:

The present application provides a recommendation method and an electronic device. After receiving a recommendation request for the operating parameters of the first device, the electronic device can, based on the historical period of each reference household device group in multiple reference household device groups, Determine the recommended score of each reference household device group for each candidate operating parameter among the multiple candidate operating parameters by using the proportion of the first number of times that each candidate operating parameter runs in the plurality of candidate operating parameters, and based on the recommendation The score determines the recommended operating parameters. It can be seen that when the electronic device determines the recommended operating parameters for the first home device, it considers the recommended scores of each reference home device group for each candidate operating parameter, that is, the data used when determining the recommended operating parameters is relatively comprehensive. Therefore, it can be ensured that the determined recommended operating parameters are highly accurate and relatively objective.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. For those skilled in the art, other drawings can also be obtained based on these drawings without creative effort.

FIG. 1 is a flow chart of a method for recommending operating parameters of household equipment provided in an embodiment of the present application;

Fig. 2 is a flow chart of another method for recommending operating parameters of household equipment provided in the embodiment of the present application;

Fig. 3 is a schematic diagram of an interface that triggers a recommendation request for operating parameters of a first household device provided by an embodiment of the present application;

Fig. 4 is a flow chart for determining the proportion of the first number of times each reference household device group operates with each candidate operating parameter in a plurality of candidate operating parameters within a historical period provided by an embodiment of the present application;

Fig. 5 is a schematic diagram of a scoring matrix provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of a target object matrix and a target parameter matrix obtained based on a scoring matrix provided in an embodiment of the present application;

Fig. 7 is a flow chart of a method for recommending household equipment provided in an embodiment of the present application;

Fig. 8 is a flow chart of another method for recommending household equipment provided by an embodiment of the present application;

Fig. 9 is a schematic diagram of an interface of a recommendation request for a home device that needs to be activated when the first home system activates a target home scene provided by an embodiment of the present application;

Fig. 10 is a process for determining the proportion of the third number of startup times of each candidate home device among multiple candidate home devices when each reference home system group activates a target home scene within a historical period provided by an embodiment of the present application picture;

Fig. 11 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

Fig. 12 is a software structural block diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

An embodiment of the present application provides a method for recommending an operating parameter of a household device, and the method is applied to an electronic device. Optionally, the electronic device may be a mobile terminal or a recommendation server. The mobile terminal can be a mobile phone, a tablet computer, or a notebook computer. The recommendation server may be a server, or may be a server cluster composed of several servers, or may be a cloud computing service center. Referring to Figure 1, the method includes:

Step 101 , in response to a recommendation request for operating parameters of a first home appliance, determine a plurality of reference home appliance groups.

Wherein, the first household device may be a household device that has never been operated after leaving the factory, or may be a household device that has been operated after leaving the factory. Each reference household device group includes at least one second household device of the same type as the first household device. That is, each reference household device group may include a second household device. Alternatively, each reference household device group may include multiple second household devices. The similarity of the object data of any two objects belonging to the second household devices among the plurality of second household devices is greater than the similarity threshold.

The type of the first household appliance may be one of the following types: an air conditioner, a washing machine, and a dishwasher. For example, if the type of the first household device is an air conditioner, the type of each second household device included in each reference household device group in the plurality of reference household device groups is an air conditioner.

Step 102, for each reference household equipment group in the plurality of reference household equipment groups, obtain the first number of running times of each candidate operating parameter among the multiple candidate operating parameters of the reference household equipment group within the historical period Compare.

Wherein, the historical time period may be a time period of a specified duration before the receiving moment of the recommendation request of the operating parameters. For example, the historical time period may be the month closest to the receiving moment, or the half month closest to the receiving moment. Each candidate operating parameter among the plurality of candidate operating parameters includes: a parameter name of the operating parameter, and a parameter value of the operating parameter. The names of parameters included in the plurality of candidate operating parameters are the same, and any two of the plurality of candidate operating parameters include different parameter values.

In the embodiment of the present application, a household device usually operates with some of the multiple candidate operating parameters, but the household device can actually operate with the multiple candidate operating parameters. If the recommended operating parameters for this household device are determined only through the ratio of the number of times that the household device operates with this part of the candidate operating parameters in the historical period, the data used when determining the recommended operating parameters is relatively one-sided, so Can result in less accurate determination of recommended operating parameters.

Based on this, the electronic device provided by the embodiment of the present application can obtain the first number ratio of the number of times each reference household device group operates with each candidate operating parameter within a historical period in a plurality of reference household device groups. The total number of different actual operating parameters of multiple reference household devices in the historical period may be approximately equal to the total number of multiple candidate operating parameters, that is, the data used by the electronic device when determining the recommended operating parameters for the first household device is relatively comprehensive. Therefore, a high accuracy of the determined recommended operating parameters can be ensured.

Step 103: Based on the ratio of the number of first times that multiple reference household equipment groups operate with each candidate operating parameter within a historical period, determine the recommendation score of each reference household equipment group for each candidate operating parameter among the multiple candidate operating parameters. value.

In the embodiment of the present application, the electronic device can use a collaborative filtering algorithm to process the proportion of the first number of multiple reference home appliance groups operating with each candidate operating parameter in a historical period, so as to obtain the ratio of each reference home appliance group to many The recommendation score of each candidate operating parameter among the candidate operating parameters.

Alternatively, the percentages of the first number of multiple reference home appliance groups operating with each candidate operating parameter within a historical period may be recorded in the scoring matrix. The electronic device may use a matrix decomposition algorithm to process the scoring matrix, so as to obtain a recommended score for each of the multiple candidate operating parameters for each of the multiple reference household device groups.

Step 104 : Based on the recommended scores of multiple candidate operating parameters for the target household equipment group in the multiple reference household equipment groups, determine the recommended operating parameter with the highest recommended score from the multiple candidate operating parameters.

Wherein, the similarity between the object data of the object to which the second household device belongs and the object data of the object to which the first household device belongs is greater than a similarity threshold in the target household device group.

In the embodiment of the present application, if the electronic device is a mobile terminal, after the electronic device determines the recommended operating parameters, it can display the recommended operating parameters, and can control the first household device with the recommended operating parameters after receiving an instruction to control the first household device. After the operating instruction is executed, the first household device is controlled to operate with the recommended operating parameters. For example, the mobile terminal may send an operating instruction to the first household device, and the operating instruction may carry recommended operating parameters. After receiving the operation instruction, the first household device can respond to the operation instruction and operate with the recommended operation parameters.

If the electronic device is a recommendation server, after determining the recommended operating parameters, the electronic device may send the recommended operating parameters to the mobile terminal for display by the mobile terminal. Afterwards, if the mobile terminal receives an operation instruction for instructing to control the first household device to operate with the recommended operation parameter, it can control the first household device to operate with the recommended operation parameter.

To sum up, the embodiment of the present application provides a method for recommending operating parameters of home appliances. After the electronic device receives a recommendation request for operating parameters of the first home appliance, it can In the historical period, a reference household equipment group uses the proportion of the first number of times each candidate operating parameter operates among the multiple candidate operating parameters to determine that each reference household equipment group performs the operation of each candidate among the multiple candidate operating parameters. The recommended score of the parameter is determined, and the recommended operating parameters are determined based on the recommended score. It can be seen that when the electronic device determines the recommended operating parameters for the first home device, it considers the recommended scores of each reference home device group for each candidate operating parameter, that is, the data used when determining the recommended operating parameters is relatively comprehensive. Therefore, it can be ensured that the determined recommended operating parameters are highly accurate and relatively objective.

In the embodiment of the present application, taking each reference household device group including a plurality of second household devices as an example, the method for recommending the operating parameters of the household devices provided in the embodiment of the present application is exemplarily described. The method can be applied to an electronic device, and the electronic device can be a mobile terminal or a recommendation server. Referring to Figure 2, the method may include:

Step 201 , in response to a recommendation request for operating parameters of a first home appliance, acquire object data of objects to which multiple second home appliances belong.

Wherein, the type of each second household device among the plurality of second household devices is the same as that of the first household device. The type of the first household appliance may be one of the following types: an air conditioner, a washing machine, and a dishwasher. For example, if the type of the first household device is an air conditioner, then the type of each second household device is an air conditioner.

The object data package of the object to which each second household device belongs may include: attribute data of the object and/or region data of the region where the object is located. The attribute data includes: one of age and gender of the object, and the region data includes: at least one of location, temperature and humidity of the region.

For example, the object data may include attribute data of the object and region data of the region where the object is located. The attribute data includes age and gender of the object, and the region data includes location, humidity and temperature of the region.

For an implementation in which the electronic device is a mobile terminal, the display screen of the mobile terminal may display parameter recommendation controls. The recommendation request for the operating parameters of the first household device may be triggered by a touch operation of the object of the first household device on the parameter recommendation control. In response to the recommendation request, the mobile terminal may send an object data acquisition request to a storage server (for example, a recommendation server), where the acquisition request carries the type of the first household device. After receiving the acquisition request, the storage server can acquire the object data of objects belonging to multiple second home appliances of the same type, and send the object data to the mobile terminal. Correspondingly, the mobile terminal can obtain the object data of the objects to which the multiple second household devices belong. Wherein, the storage server stores the object data of the object to which each household device belongs among the plurality of household devices.

As an example, assume that the first household device is an air conditioner 1 . Referring to FIG. 3 , the home control application is installed in the mobile terminal of the object to which the first home device belongs. The mobile terminal may display a device control interface in response to the object's touch operation on the application identification of the home control application. The device control interface displays a first selection control 01 for household equipment and a second selection control 02 for household scenes. Wherein, when the first selection control 01 is in the selected state, the device control interface displays the identifications (such as names and icons) of multiple household devices owned by the object. When the second selection control 02 is in the selected state, the device control interface displays the identifications (such as names) of multiple household scenes owned by the object. And the first selection control 01 is in the selected state by default.

As can be seen from FIG. 3 , the household equipment owned by the object to which air conditioner 1 belongs includes: air conditioner 1 , air conditioner 2 and lighting lamp 1 . Then, the object can touch the logo of the air conditioner 1 . The mobile terminal displays the control interface of the air conditioner 1 in response to the touch operation on the sign. The control interface displays a parameter recommendation control 03. The object can touch the parameter recommendation control 03. Correspondingly, the mobile terminal may receive a recommendation request for the operating parameters of the first household device triggered by a touch operation on the parameter recommendation control 03 .

Moreover, it can also be seen from FIG. 3 that the control interface also displays a plurality of control controls for the air conditioner 1, and the plurality of control controls include: a switch control, a mode control for setting the operating mode of the air conditioner 1, and a control for setting the operating mode of the air conditioner 1. A wind speed gear control of the air conditioner 1 (wind gear for short), a wind direction control for setting the wind direction of the air conditioner 1 and a temperature adjustment control for setting the set temperature of the air conditioner 1 .

For an implementation manner in which the electronic device is a recommendation server, the recommendation request for the operating parameters of the first household device may be sent by the mobile terminal to the recommendation server. For example, the display screen of the mobile terminal may display a parameter recommendation control, and the mobile terminal may send a recommendation request for the operating parameters of the first household device to the recommendation server in response to the object's touch operation on the parameter recommendation control. After receiving the recommendation request, the recommendation server can obtain the object data of the objects to which the multiple second household devices belong.

Wherein, the object data of the objects to which the plurality of second home appliances belong may be pre-stored by the recommendation server. Alternatively, the recommendation server may obtain object data of objects to which multiple second household devices belong from the storage server. For the realization process of the recommendation server obtaining the object data from the storage server, reference may be made to the relevant realization process of the mobile terminal obtaining the object data of the objects belonging to multiple second home appliances from the recommendation server, which will not be repeated in this embodiment of the present application.

In this embodiment of the application, the process for the storage server to obtain object data of objects to which multiple household devices belong may include:

The home control application is installed in the mobile terminal of the object to which each of the first home equipment and the second home equipment belongs, and the storage server is a background server of the home control application. After each mobile terminal runs the home control application, it can display a data input interface. The data input interface displays an object's gender input box, age input box, and location input box of the region. The object to which the home equipment belongs can input gender, age and location on the data input interface. Correspondingly, in response to the user's input operation on the data input interface, the mobile terminal can acquire the gender, age and location of the object to which the household device belongs.

Moreover, the mobile terminal of each object can also obtain the types of all household devices belonging to the object. For example, the mobile terminal may acquire the types of all household devices in response to the object's operation of inputting the types of all household devices. Alternatively, the mobile terminal can obtain all household devices belonging to the object through scanning. Wherein, the home equipment belonging to the object refers to the home equipment located in the home space of the object.

Afterwards, the mobile terminal sends the obtained gender, age, location of the object to which the mobile terminal belongs, and the types of all household devices belonging to the object to the storage server. After receiving the location sent by the mobile terminal, the storage server can acquire the temperature and humidity of the area where the object is located based on the location. In this way, the storage server can obtain the object data of the object to which the household device belongs.

Step 202: Based on the object data of the objects to which the multiple second household devices belong, cluster the multiple second household devices to obtain multiple reference household device groups.

In the embodiment of the present application, the electronic device may perform cluster processing on the object data of objects to which multiple second household devices belong, so as to obtain multiple first object clusters. Each first object cluster includes a plurality of objects, and the similarity of object data of any two objects of the plurality of objects is greater than a similarity threshold. Afterwards, for each first object cluster in the plurality of first object clusters, the electronic device may use the second household equipment belonging to multiple objects in the first object cluster as a reference household equipment group, thereby obtaining multiple reference household equipment groups .

Optionally, the electronic device may use a clustering algorithm to perform clustering processing on the object data of objects to which multiple second household devices belong, so as to obtain multiple first object clusters. Wherein, the clustering algorithm may be one of the following algorithms: K-Means (K-Means) algorithm, K-Medoids (K-Medoids) algorithm, and expectation maximization (expectation maximization, EM) algorithm.

Step 203 , for each reference household device group, obtain the first number ratio of the number of times the reference household device group operates with each candidate operating parameter in a plurality of candidate operating parameters within a historical period.

Wherein, the historical period may be a specified time period before the receiving moment of the recommendation request. For example, the historical time period may be the month closest to the receiving moment, or the half month closest to the receiving moment. The embodiment of the present application does not limit the duration of the historical period.

A plurality of candidate operating parameters may have been determined by the electronic device before performing step 203 . Each candidate operating parameter among the plurality of candidate operating parameters includes: a parameter name of the operating parameter, and a parameter value of the operating parameter. The names of parameters included in the plurality of candidate operating parameters are the same, and any two of the plurality of candidate operating parameters include different parameter values. Moreover, the plurality of candidate operating parameters may be all operating parameters that may appear during the operating process of the first household device. In this way, it can be ensured that the plurality of candidate operating parameters are relatively comprehensive, so that the accuracy of the determined recommended operating parameters can be ensured to be high.

Optionally, each candidate operating parameter may include multiple sub-parameters. Correspondingly, each candidate parameter includes: a parameter name and a parameter value of each sub-parameter among the multiple sub-parameters. For example, if the type of the first household device is an air conditioner, each candidate operating parameter may include at least two sub-parameters of operating mode, temperature, and wind speed. If the type of the first household appliance is a washing machine, each candidate operating parameter may include multiple sub-parameters such as rotation speed and temperature.

For example, assume that the type of the first household device is an air conditioner, and the operating parameters of the air conditioner include multiple sub-parameters such as operating mode, temperature, and wind speed. Wherein, the parameter values of the operation mode include: automatic mode, cooling mode, heating mode, dehumidification mode and air supply mode. The parameter value of temperature includes: an integer from 18 degrees Celsius (°C) to 35°C. The parameter values of wind gear include: low gear, middle gear and high gear.

The multiple candidate operating parameters of the first household device may be obtained by combining multiple different parameter values of the operating mode, multiple different parameter values of the temperature, and multiple different parameter values of the wind gear. And the parameter value of at least one sub-parameter in any two candidate operating parameters is different.

In the embodiment of the present application, referring to FIG. 4 , the electronic device obtains the first number ratio of the number of operation times of each candidate operating parameter among multiple candidate operating parameters within a historical period for each reference household device group. include:

Step 2031 , for each reference household device group, obtain the second ratio of the second number of times that each second household device in the reference household device group operates with each candidate operating parameter in a plurality of candidate operating parameters within a historical period.

In the embodiment of the present application, for each second home device in each reference home device group, the electronic device can obtain the total number of times the second home device operates within a historical period, and the The number of times of running with each of the plurality of candidate running parameters within the time period. Afterwards, the electronic device may determine the ratio of the number of times the second home appliance operates with the candidate operating parameter within the historical period to the total number of times as the second home appliance operating with the candidate operating parameter within the historical period. Secondary ratio.

For example, if the total number of multiple candidate operating parameters is I, the total number of multiple reference household device groups is N, and the nth reference household device group in the N reference household device groups includes K _n second household devices, then the For the kth second home appliance among the _Kn second home appliances, the ratio A _nk of the second number of operations with the i-th candidate operating parameter among the I candidate operating parameters in the historical period can satisfy the following formula:

In the formula (1), f _ni is the number of times the k-th second household device operates with the i-th candidate operating parameter in the historical period, and F _nk is the total number of times the k-th second household device operates in the historical period. frequency. i is an integer greater than or equal to 1 and less than or equal to 1, n is an integer greater than or equal to 1 and less than or equal to N, and k is also an integer greater than or equal to 1 and less than or equal to K. I, N and K are all integers greater than 1.

In the embodiment of the present application, for each second home appliance in each reference home appliance group, the electronic device may acquire a plurality of historical operating parameters of the second home appliance operating within a historical period. The plurality of candidate operating parameters includes the plurality of historical operating parameters. For each candidate operating parameter among the plurality of candidate operating parameters, the electronic device may determine the number of the historical operating parameters that are the same as the candidate operating parameter among the plurality of historical operating parameters as the number of the candidate operating parameters that the second home device uses in the historical period. The number of times the run parameter is run.

It can be understood that the electronic device may pre-store historical operating parameters of each second household device within a historical period. Alternatively, the electronic device may acquire the historical operating parameters of each second household device within a historical period from the storage server. Wherein, the historical operating parameters of each second household device stored in the storage server may be reported to the storage server by the mobile terminal of the object to which the second household device belongs.

Step 2032: For each candidate operating parameter among the plurality of candidate operating parameters, determine the average value of the proportion of the second number of times that multiple second home appliances in the reference home appliance group operate with the candidate operating parameters as the reference home appliance The fraction of the first time the group was run with the candidate run parameters.

In the embodiment of the present application, for each candidate operating parameter among the plurality of candidate operating parameters, the electronic device obtains the first time that each second household device in each reference household device group operates with the candidate operating parameter within a historical period. After the second ratio, based on the second ratio and the number of second household devices in the reference household device group, it is possible to determine the second ratio of multiple second household devices operating with candidate operating parameters. The average value is used as the proportion of the first number of times that the reference household equipment group operates with the candidate operating parameters in the historical period.

For example, if the total number of multiple candidate operating parameters is I, the total number of multiple reference household device groups is N, and the nth reference household device group in the N reference household device groups includes K _n second household devices, then the The ratio B _ni of the first number of nth reference household equipment operating with the i-th candidate operating parameter among the I candidate operating parameters in the historical period can satisfy the following formula:

Step 204: Based on the ratio of the first number of operations of multiple reference home appliance groups with each candidate operating parameter within a historical period, determine the recommendation score of each reference home appliance group for each candidate operating parameter among the plurality of candidate operating parameters. value.

In the embodiment of the present application, the percentages of the first number of operations of multiple reference household device groups with each candidate operating parameter within a historical period are recorded in the scoring matrix. The electronic device may use a matrix decomposition algorithm to process the scoring matrix to obtain a recommended score for each candidate operating parameter among the plurality of candidate operating parameters for each reference household device group.

Wherein, each row in the scoring matrix may be the proportion of the first time a reference household device group operates with each candidate operating parameter within a historical period. Each column in the scoring matrix may be the proportion of the first number of times a plurality of reference household device groups operate with a candidate operating parameter within a historical period.

Exemplary, assuming that the total number of multiple candidate operating parameters is I, and the total number of multiple reference household equipment groups is N, then referring to Figure 5, the first reference household equipment group in the N reference household equipment groups, in the historical period The proportion B ₁₁ of the first number of operations with the first candidate operation parameter among the I candidate operation parameters is located in the first row and first column of the scoring matrix; the first number of operations with the second candidate operation parameter accounts for The ratio B ₁₂ is located in the first row and the second column of the scoring matrix; the ratio B _1i of the first number of running with the i-th candidate operating parameter is located in the first row and the i-column of the scoring matrix.

In the second reference household equipment group in the N reference household equipment groups, the proportion B ₂₁ of the first number of operations with the first candidate operating parameters in the historical period is located in the second row and the first column of the scoring matrix; The first number ratio B ₂₂ of the second candidate operation parameter operation is located in the second row and second column of the scoring matrix; the first number ratio B _2i of the i-th candidate operation parameter operation is located in the scoring matrix second row i column.

For the nth reference home appliance in the N reference home appliance groups, the proportion B _n1 of the first number of operations with the first candidate operating parameter in the historical period is located in the first column of the nth row of the scoring matrix; The first number ratio B _n2 of the two candidate operating parameters is located in the second column of the nth row of the scoring matrix; the first number ratio B _ni of the i-th candidate operating parameters is located in the scoring matrix row n and column i.

In the embodiment of the present application, the electronic device may obtain the target object matrix and the target parameter matrix after processing the scoring matrix by using a matrix decomposition algorithm. Among them, the number of rows of the target object matrix is equal to the number of rows of the target scoring matrix, the number of columns of the target parameter matrix is equal to the number of columns of the target scoring matrix, the number of columns of the target object matrix and the number of rows of the target parameter matrix are equal to the number of rows in the matrix decomposition algorithm The total number of multiple latent variables of . Hidden variables may refer to features that affect the recommendation scores of the reference household equipment group for the candidate operating parameters. Each row in the target object matrix can be the recommendation degree of a reference household device group for multiple latent variables. Each column in the parameter matrix can be the content of multiple hidden variables in a candidate operating parameter. Both the recommendation degree and the content can be represented by numerical values.

Then, the electronic device may calculate the transposed product of the target object matrix and the target parameter matrix, so as to obtain a recommendation score for each of the plurality of candidate operating parameters for each of the plurality of reference home appliance groups.

It can be understood that, the process of the electronic device using the matrix decomposition algorithm to process the scoring matrix may include: the electronic device obtains the objective function of the matrix decomposition and the total number of hidden variables of the matrix decomposition. Then, the electronic device repeatedly performs the operation of decomposing the scoring matrix into an object matrix and a parameter matrix, and determining the function value of the objective function based on the decomposed object matrix and parameter matrix, until the obtained function value of the objective function is minimum. Afterwards, the electronic device may determine the decomposed object matrix as the target object matrix when the function value of the objective function is minimized, and determine the decomposed parameter matrix as the target parameter matrix.

Among them, the objective function can satisfy the following formula:

为X_n的范数的平方，

为Y_i的范数的平方。In the formula (3), T represents the transpose, X _n is a vector located in the nth row of the object matrix, and X _n includes the recommendation degree of the nth reference household equipment group for multiple latent variables. Y _i is a vector located in the i-th column of the parameter matrix, and Y _i is the content of multiple hidden variables in the i-th candidate operating parameter. λ is a regularization coefficient, and λ can be greater than or equal to 0 and less than or equal to 1.

is the square of the norm of X _n ,

is the square of the norm of Y _i .

It can be understood that, in the implementation manner in which the reference household device group includes a plurality of second household devices, since the electronic device determines the proportion of the first number of times each reference household device group operates with each candidate operating parameter , the ratio of multiple second household devices to the second number of the candidate operating parameters has been considered, so compared to the realization that the reference household device includes one second household device, the reference household device group includes multiple second household devices The implementation method can reduce the dimension of matrix decomposition to a large extent on the premise of ensuring that the data used in the process of determining the recommended operating parameters is relatively comprehensive, thereby improving the efficiency of determining the recommended operating parameters.

As an example, assuming that the number of multiple hidden variables is 3, see Figure 6, the electronic device adopts a matrix decomposition algorithm to record the first number of reference household device groups operating with each candidate operating parameter in the historical period. After processing the scoring matrix of the ratio, the target object matrix and target parameter matrix shown in Figure 6 can be obtained. It can be seen from FIG. 6 that the target object matrix is a matrix with N rows and 3 columns, and the target parameter matrix is a matrix with 3 rows and 1 column.

Step 205 , based on the recommendation scores of the target home appliance group among the plurality of reference home appliance groups for the candidate operating parameters, determine the recommended operating parameter with the highest recommended score among the plurality of candidate operating parameters.

Wherein, the similarity between the object data of the object to which the second household device belongs and the object data of the object to which the first household device belongs is greater than a similarity threshold in the target household device group. That is, the electronic device may determine the recommended operating parameters by using the recommended scores of the multiple candidate operating parameters for the reference household device group that is relatively similar to the object data of the object to which the first household device belongs. In this way, it can be ensured that the determined recommended operating parameters are more suitable for the object to which the first home device belongs, and the user experience is better.

Optionally, the electronic device may sort the recommendation scores of multiple candidate operating parameters by the target household device group, so as to determine the candidate operating parameter with the highest recommended score.

In the embodiment of the present application, there are many ways for the electronic device to determine the target household device group from multiple reference household device groups. The embodiment of the present application takes the following two optional implementation methods as examples to determine the target for the electronic device The implementation process of the household device group is described as an example.

In an optional implementation manner, the electronic device may cluster the object data of the object to which the first household device belongs and the object data of the objects to which multiple second household devices belong, to obtain multiple second object clusters. Afterwards, the electronic device may determine a target object cluster from the plurality of first object clusters, and determine a reference household device group of the target object cluster as the target household device group. Wherein, there is an intersection between the target object cluster and the second object cluster where the object to which the first home appliance belongs belongs.

In another optional implementation manner, the electronic device may determine the similarity between the object data of the object to which the first household device belongs and the object data at the cluster center of each first object cluster in the plurality of first object clusters , and the object cluster with the highest similarity can be determined as the target object cluster, and then the reference household device group of the target object cluster can be determined as the target household device group.

In the embodiment of the present application, if the electronic device is a mobile terminal, after the electronic device determines the recommended operating parameters, it can display the recommended operating parameters, and can control the first household device with the recommended operating parameters after receiving an instruction to control the first household device. After the operating instruction is executed, the first household device is controlled to operate with the recommended operating parameters. For example, the mobile terminal may send an operating instruction to the first household device, and the operating instruction may carry recommended operating parameters. After receiving the operation instruction, the first household device can respond to the operation instruction and operate with the recommended operation parameters.

If the electronic device is a recommendation server, after determining the recommended operating parameters, the electronic device may send the recommended operating parameters to the mobile terminal for display by the mobile terminal. Afterwards, if the mobile terminal receives an operation instruction for instructing to control the first household device to operate with the recommended operation parameter, it can control the first household device to operate with the recommended operation parameter.

The foregoing embodiment is an exemplary description by taking an example in which each reference household device group includes a plurality of second household devices. It can be understood that each reference household device group may also include a second household device. In this implementation, the reference household device group operates with each candidate operating parameter among multiple candidate operating parameters within a historical period. The first proportion of times is the second proportion of times that the second household device operates with the candidate operating parameters within the historical period.

It should be noted that the order of the steps in the method for recommending the operating parameters of the household appliances provided in the embodiment of the present application can be adjusted appropriately, and the steps can also be increased or decreased accordingly according to the situation. For example, step 202 may be deleted according to circumstances, that is, each reference household device group includes a second household device. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes, which should be covered within the scope of protection of this application, and thus will not be repeated here.

To sum up, the embodiment of the present application provides a method for recommending operating parameters of home appliances. After the electronic device receives a recommendation request for operating parameters of the first home appliance, it can In the historical period, a reference household equipment group uses the proportion of the first number of times each candidate operating parameter operates among the multiple candidate operating parameters to determine that each reference household equipment group performs the operation of each candidate among the multiple candidate operating parameters. The recommended score of the parameter is determined, and the recommended operating parameters are determined based on the recommended score. It can be seen that when the electronic device determines the recommended operating parameters for the first home device, it considers the recommended scores of each reference home device group for each candidate operating parameter, that is, the data used when determining the recommended operating parameters is relatively comprehensive. Therefore, it can be ensured that the determined recommended operating parameters are highly accurate and relatively objective.

An embodiment of the present application provides a method for recommending household devices, and the method is applied to electronic devices. The electronic device may be a terminal with a screen or a server. The terminal with a screen refers to a terminal with a display screen. The terminal may be a mobile terminal, a smart TV, a refrigerator or an air conditioner with a display screen, and the like. Referring to Figure 7, the method includes:

Step 301 , in response to a recommendation request for household devices that need to be activated when the first household system activates a target household scene, determine a plurality of reference household system groups.

Wherein, each reference home system group includes at least one second home system. Each home system in the first home system and the second home system refers to a system composed of multiple home devices configured in the home space of the object to which the home system belongs.

Each second home system is capable of enabling a target home scene, and each second home system includes at least two candidate home devices among a plurality of candidate home devices suitable for the target home scene. The plurality of candidate home devices are all home devices that can be started by the electronic device after the target home scene determined before step 301 is activated.

After each reference home system group activates the target home scene, at least two candidate home devices included in the reference home system group can be automatically activated to provide the subject with a server more in line with the subject's habits. There is no need to control the object one by one, so that the user experience of the object can be improved.

It can be understood that, for the realization that each reference home system group includes multiple second home systems, the similarity of object data of objects belonging to any two second home systems in the multiple second home systems is greater than the similarity threshold .

Step 302 , for each reference home system group, obtain the third ratio of the startup times of each candidate home device among multiple candidate home devices when the reference home system group activates the target home scene in a historical period.

Wherein, the historical period may be a specified time period before the time when the household device recommendation request is received. For example, the historical time period may be the month closest to the receiving moment, or the half month closest to the receiving moment.

In the embodiment of the present application, after a home system activates a home scene, it usually activates some candidate home devices among multiple candidate home devices. If only the number of times that this part of the candidate household equipment is activated is determined based on the proportion of times when the household system activates the target household scene in the historical period, the recommended household equipment is determined, because the data used when determining the recommended household equipment is relatively one-sided, Therefore, the accuracy of the determined recommended home appliance may be lower.

Based on this, the electronic device provided by the embodiment of the present application can obtain the activation status of each candidate home device included in the reference home system group when each reference home system group activates the target home scene in the historical period. The proportion of the third times of times. When multiple reference home systems activate the target home scene, the total number of multiple different home devices activated can be approximately equal to the total number of multiple candidate home devices, that is, the data used by the electronic device when determining the recommended home device is relatively comprehensive, so it can Ensure that the accuracy of the identified recommended home devices is high.

Step 303: Based on the ratio of the third number of startup times of multiple candidate home devices when multiple reference home system groups enable the target home scene, determine the contribution of each reference home system group to each of the multiple candidate home devices Recommended score for home equipment.

In this embodiment of the application, the electronic device can use a collaborative filtering algorithm to process the third ratio of the startup times of each candidate home device among multiple candidate home devices, so as to obtain the ratio of each reference home system group to multiple candidate home devices. Recommendation score for each candidate home device in the device.

Alternatively, when each reference home system group in multiple reference home system groups activates the target home scene in the historical period, the third ratio of the startup times of each candidate home device among the plurality of candidate home devices can be recorded in the score in the matrix. The electronic device may use a matrix decomposition algorithm to process the scoring matrix, so as to obtain a recommendation score for each candidate home device among the plurality of candidate home devices for each reference home system group.

Step 304 : Based on the recommendation scores of the target home system group among the multiple reference home system groups for multiple candidate home devices, determine a plurality of recommended home devices whose recommended scores are greater than the score threshold from the plurality of candidate home devices.

Wherein, the similarity between the object data of the object belonging to the second home system in the target home system group and the object data of the object belonging to the first home system is greater than the similarity threshold. The types of any two recommended household devices among the plurality of recommended household devices are different. The score threshold may be pre-stored by the electronic device, or may be flexibly determined by the electronic device based on the number of multiple recommended home devices and the recommendation scores of the target home system group for multiple candidate home devices.

In the embodiment of the present application, if the electronic device is a terminal with a screen, after the electronic device determines a plurality of recommended home devices, it can display the identifications of the recommended home devices, and can receive After the instruction, start the plurality of recommended household devices. For example, after receiving the enabling instruction, the terminal with a screen may send an activation instruction to each recommended household equipment among the plurality of recommended household equipment, so as to instruct each recommended household equipment to start. The identification of each recommended household device may include the type and name of the recommended household device.

It can be understood that, if the first home system includes some recommended home devices among the plurality of recommended home devices, the terminal with a screen may activate the part of recommended home devices after receiving an enabling instruction for a target home scene.

If the electronic device is a recommendation server, after determining a plurality of recommended home devices, the electronic device may send identifications of the plurality of recommended home devices to the terminal with screen for display by the terminal with screen. After the terminal with screen displays the multiple recommended home devices, if an activation instruction for the target home scene is received, the multiple recommended home devices can be activated.

To sum up, the embodiment of the present application provides a home appliance recommendation method. After the electronic device receives a recommendation request for the home appliance that needs to be started when the first home system activates the target home scene, it can After the home system group enables the target home scene in the historical period, the proportion of the third number of startup times of each candidate home device among the multiple candidate home devices is determined, and the contribution of each reference home device group to each candidate among the multiple candidate home devices is determined. The recommended score of the household equipment is determined, and a plurality of recommended household equipment is determined based on the recommended score. It can be seen that when the electronic device determines the recommended home equipment, it takes into account the recommendation scores of each candidate home equipment by each reference home system group, that is, the data used when determining the recommended home equipment is relatively comprehensive, so that the definite recommendation can be ensured. The accuracy of household equipment is high and relatively objective.

In the embodiment of the present application, taking each reference household device group including multiple second household systems as an example, the method for recommending household devices provided in the embodiment of the present application is exemplarily described. The method can be applied to electronic equipment, see FIG. 7, the method can include:

Step 401 , in response to a recommendation request for household devices that need to be activated when the first household system activates a target household scene, acquire object data of objects belonging to multiple second household systems.

Wherein, each second home system among the plurality of second home systems can enable a target home scene. The object data of the object to which each second home system belongs may include: attribute data of the object and/or region data of the region where the object is located. The attribute data includes: one of age and gender of the object, and the region data includes: at least one of location, temperature and humidity of the region.

For example, the object data may include attribute data of the object and region data of the region where the object is located. The attribute data includes age and gender of the object, and the region data includes location, humidity and temperature of the region.

For an implementation in which the electronic device is a terminal with a screen, the display screen of the terminal with a screen may display device recommendation controls for home devices in a target home scene. The recommendation request for the home device that needs to be started when the first home system starts the target home scene may be triggered by a touch operation on the device recommendation control. In addition, in this implementation, the process for the mobile terminal to obtain object data of objects belonging to multiple second home devices can refer to the implementation process of the mobile terminal obtaining object data of objects belonging to multiple second home devices in step 201, the embodiment of the present application I won't repeat them here.

For example, assuming that the electronic device is a mobile terminal, referring to FIG. 8 , the mobile terminal may display a device control interface after receiving a touch operation on the application identification of the home control application installed therein. The device control interface displays a first selection control 01 and a second selection control 02 . Then, in response to the touch operation on the second selection control 02 , the mobile terminal can display a plurality of alternative home scenes such as home scene 1 to home scene 3 .

The home scene 1 can be selected as the object to which the mobile terminal belongs. In response to the selection operation on the home scene 1, the mobile terminal may use the home scene 1 as a target home scene, and may display a scene interface of the home scene 1. The scene interface displays a device recommendation control 04 .

The object can touch the device recommendation control 04. Correspondingly, the mobile terminal can receive the recommendation of the home devices that need to be started when the first home system activates the home scene 1 triggered by the touch operation on the device recommendation control 04. ask.

For the implementation of the electronic device as the recommendation server, the recommendation request for the home device that needs to be activated when the first home system activates the target home scene may be sent to the recommendation server by the mobile terminal. For example, the display screen of the mobile terminal may display a device recommendation control, and the mobile terminal may send a recommendation request to the recommendation server in response to an object's touch operation on the parameter recommendation control.

Step 402 , based on the object data of the objects to which the multiple second home systems belong, cluster the multiple second home systems to obtain multiple reference home system groups.

Among the plurality of second home systems included in each reference home system group, the similarity of object data of objects belonging to any two second home systems is greater than a similarity threshold.

Optionally, for the implementation process of step 402, reference may be made to the implementation process of step 202, which will not be repeated in this embodiment of the present application.

Step 403 , for each reference home system group, obtain the third proportion of the number of startup times of each candidate home device among the plurality of candidate home devices when the reference home system group starts the target home scene in the historical period.

Wherein, the historical period may be a specified time period before the time when the recommendation request of the household device is received. For example, the historical time period may be the month closest to the receiving moment, or the half month closest to the receiving moment. The embodiment of the present application does not limit the duration of the historical period.

The plurality of candidate home devices are home devices suitable for the target home scene, and the plurality of candidate home devices are all home devices that can be activated by the electronic device after the target home scene determined before step 403 is activated. For example, assuming that the target home scene is a home scene, the multiple candidate home devices may include: air conditioners, lights, curtains, TVs, water heaters, and security cameras.

In the embodiment of the present application, referring to FIG. 8, the electronic device acquires the third proportion of the startup times of each candidate home device among multiple candidate home devices when each reference home system group activates the target home scene within the historical period. The process can include:

Step 4031. For each reference home device group, obtain the number of each of the plurality of candidate home devices when each second home system in the plurality of second home systems included in the reference home device group activates the target home scene in the historical period. The fourth proportion of the activation times of a candidate household device.

In the embodiment of the present application, for each second home system in each reference home system group, the electronic device can obtain multiple information applicable to the target home scene when the second home system activates the target home scene within a historical period. The number of launches for each candidate home device among the candidate home devices. Afterwards, for each candidate home device, the electronic device may determine the ratio of the start times of the candidate home device to the sum of the start times of multiple candidate home devices as the fourth proportion of the candidate home device.

For example, assuming that the total number of multiple reference home system groups is M, the m-th reference home system group in the M reference home system groups includes Q _m second home systems, and is suitable for multiple candidate home devices in the target home scene. The total is J. Then when the _qmth second home system among the _Qm second home systems activates the target home scene in the historical period, the fourth number of startup times of the jth candidate home device among the J candidate home devices accounts for The ratio e _jqp can satisfy the following formula:

In the formula (4), d _jqm is the startup times of the j-th candidate home device when the q _m -th second home system starts the target home scene in the historical period. j is an integer greater than or equal to 1 and less than or equal to J, and J is an integer greater than 1.

Step 4032: For each candidate home device among the plurality of candidate home devices, based on the average value of the fourth proportion of the candidate home device when multiple second home systems enable the target home scene in the historical period, determine the reference The proportion of the third number of startup times of the candidate home device when the home system group activates the target home scene in the historical period.

Wherein, the proportion of the third time is positively correlated with the average value. For example, the proportion of the third time is the average value. Alternatively, the third proportion is equal to the product of the average value and the correlation coefficient of the candidate household device. The correlation coefficient is pre-stored by the electronic device, the correlation coefficient is determined based on the degree of adaptation between the candidate household device and the target household scene, and the degree of adaptation is positively correlated.

For example, when the m-th reference home system group in the M reference home system groups activates the target home scene in the historical period, the third ratio _gjm of the number of starts of the j-th candidate home device can satisfy the following formula:

In formula (5), P _j is the correlation coefficient of the jth candidate household device. q is an integer greater than or equal to 1 and less than or equal to Q _m , and m is an integer greater than or equal to 1 and less than or equal to M. Both Q _m and M are integers greater than 1.

Step 404: Based on multiple reference home system groups enabling the target home scene, the ratio of the third number of start-up times of each candidate home device among the plurality of candidate home devices is determined, and the contribution of each reference home system group to the plurality of candidate home devices is determined. The recommendation score of each candidate home device in .

In the embodiment of the present application, the third ratio of the startup times of each candidate home device included in the plurality of reference home system groups may be recorded in the scoring matrix. The electronic device may use a matrix decomposition algorithm to process the scoring matrix, so as to obtain a recommendation score for each candidate home device among the plurality of candidate home devices for each reference home system group.

Wherein, the electronic device uses a matrix decomposition algorithm to process the scoring matrix to obtain the recommended score of each candidate home device for each reference home system group. You can refer to the relevant implementation process in step 204. The embodiment of the present application will not be repeated here.

Step 405 : Based on the recommendation scores of the target home system group among the multiple reference home system groups for multiple candidate home devices, determine a plurality of recommended home devices whose recommended scores are greater than the score threshold from the plurality of candidate home devices.

Wherein, the similarity between the object data of the object belonging to the second home system in the target home system group and the object data of the object belonging to the first home system is greater than the similarity threshold. That is to say, the electronic device may determine multiple (for example, 5) recommended home devices by using the recommendation scores of the reference home system group for multiple candidate home devices that are relatively similar to the object data of the object to which the first home system belongs. In this way, it can be ensured that the determined recommended home equipment is more suitable for the object belonging to the first home system, and the user experience is better.

Optionally, for the process of determining the target home system group by the electronic device, reference may be made to the relevant implementation process of determining the target home device group by the electronic device in step 205, which will not be repeated in this embodiment of the present application.

In the embodiment of the present application, if the electronic device is a terminal with a screen, after the electronic device determines a plurality of recommended home devices, it can display the identifications of the plurality of recommended home devices (for example, it can display multiple recommended home devices in the form of a list). identification of the device), and after receiving the activation instruction for the target home scene, start the multiple recommended home devices. For example, after receiving the activation instruction, the terminal with a screen may send an activation instruction to each recommended household equipment among the plurality of recommended household equipments, so as to instruct each recommended household equipment to be activated, so that multiple recommended household equipments are activated in a linked manner.

It can be understood that, if the first home system includes some recommended home devices among the plurality of recommended home devices, the terminal with a screen may activate the part of recommended home devices after receiving an enabling instruction for a target home scene.

If the electronic device is a recommendation server, after determining a plurality of recommended home devices, the electronic device may send identifications of the plurality of recommended home devices to the terminal with screen for display by the terminal with screen. After the terminal with screen displays the multiple recommended home devices, if an activation instruction for the target home scene is received, the multiple recommended home devices can be activated.

The above-mentioned embodiment is an exemplary description based on an example in which each reference home system group includes a plurality of second home systems. It is understandable that each reference home system group may also include a second home system.

It should be noted that the order of the steps in the method for recommending the operating parameters of the household appliances provided in the embodiment of the present application can be adjusted appropriately, and the steps can also be increased or decreased accordingly according to the situation. For example, step 402 may be deleted according to circumstances, that is, each reference home system group includes a second home system. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes, which should be covered within the scope of protection of this application, and thus will not be repeated here.

To sum up, the embodiment of the present application provides a home appliance recommendation method. After the electronic device receives a recommendation request for the home appliance that needs to be started when the first home system activates the target home scene, it can After the home system group enables the target home scene in the historical period, the proportion of the third number of startup times of each candidate home device among the multiple candidate home devices is determined, and the contribution of each reference home device group to each candidate among the multiple candidate home devices is determined. The recommended score of the household equipment is determined, and a plurality of recommended household equipment is determined based on the recommended score. It can be seen that when the electronic device determines the recommended home equipment, it takes into account the recommendation scores of each candidate home equipment by each reference home system group, that is, the data used when determining the recommended home equipment is relatively comprehensive, so that the definite recommendation can be ensured. The accuracy of household equipment is high and relatively objective.

An embodiment of the present application provides an electronic device, which can execute the method for recommending an operating parameter of a household device provided in the above method embodiment. Referring to FIG. 11, the electronic device 110 includes a processor 1101, and the processor 1101 is used for:

Determining a plurality of sets of reference home appliances each including at least one second home appliance of the same type as the first home appliance in response to a recommendation request for operating parameters of the first home appliance;

For each reference household equipment group, obtain the proportion of the first number of times that the reference household equipment group operates with each candidate operating parameter among the plurality of candidate operating parameters in the historical period;

Based on the proportion of the number of first times that multiple reference household equipment groups operate with each candidate operating parameter in a historical period, determine the recommended score of each reference household equipment group for each candidate operating parameter among the multiple candidate operating parameters;

Based on the recommendation scores of the target home appliance group in the plurality of reference home appliance groups for the plurality of candidate operating parameters, determine the recommended operating parameter with the highest recommendation score from the plurality of candidate operating parameters;

Wherein, the similarity between the object data of the object to which the second household device belongs and the object data of the object to which the first household device belongs is greater than a similarity threshold in the target household device group.

Optionally, the percentages of the first number of multiple reference household device groups operating with each candidate operating parameter within a historical period are recorded in the scoring matrix. The processor 1101 is used for:

A matrix decomposition algorithm is used to process the scoring matrix to obtain a recommended score for each candidate operating parameter among multiple candidate operating parameters for each reference household device group.

Optionally, each reference household device group includes a plurality of second household devices, and the similarity of object data of objects to which any two second household devices belong in the plurality of second household devices is greater than a similarity threshold.

Optionally, the processor 1101 is used for:

For each reference household device group, obtain the ratio of the second number of times that each second household device in the reference household device group operates with each candidate operating parameter in a plurality of candidate operating parameters within a historical period;

For each candidate operating parameter among the plurality of candidate operating parameters, the average value of the second times proportions of multiple second home appliances in the reference home appliance group operating with the candidate operating parameters is determined as the reference home appliance group candidate The proportion of the first number of running parameters.

Optionally, the processor 1101 is used for:

Acquiring object data of objects to which multiple second home devices belong;

Based on the object data of the objects to which the multiple second household devices belong, the multiple second household devices are clustered to obtain multiple reference household device groups.

Optionally, the object data includes: attribute data of the object and/or regional data of the region where the object is located;

Wherein, the attribute data includes: one of age and gender of the object, and the region data includes: at least one of location, temperature and humidity of the region.

To sum up, the embodiment of the present application provides an electronic device. After receiving the recommendation request for the operating parameters of the first device, the electronic device can In the historical period, using the proportion of the first number of times of each candidate operating parameter in the plurality of candidate operating parameters to determine the recommended score of each reference household device group for each candidate operating parameter in the plurality of candidate operating parameters , and determine the recommended operating parameters based on the recommended score. It can be seen that when the electronic device determines the recommended operating parameters for the first home device, it considers the recommended scores of each reference home device group for each candidate operating parameter, that is, the data used when determining the recommended operating parameters is relatively comprehensive. Therefore, it can be ensured that the determined recommended operating parameters are highly accurate and relatively objective.

An embodiment of the present application provides an electronic device, which can execute the method for recommending a home device provided in the above method embodiment. Referring to FIG. 10, the electronic device 110 includes a processor 1101, and the processor 1101 is used for:

In response to the recommendation request for the home equipment that needs to be started when the first home system starts the target home scene, a plurality of reference home system groups are determined, wherein each reference home system group includes at least one second home system, and each No. Both home systems include at least two candidate home devices among multiple candidate home devices applicable to the target home scene;

For each reference home system group, when the reference home system group enables the target home scene in the historical period, the ratio of the third number of startup times of each candidate home device among the plurality of candidate home devices is obtained;

Based on the proportion of the third number of startup times of multiple candidate home devices when multiple reference home system groups enable the target home scene, determine the recommendation score of each reference home system group for each candidate home device among the plurality of candidate home devices. value;

Based on the recommendation scores of the target home system group in the multiple reference home system groups to multiple candidate home devices, determine a plurality of recommended home devices with a recommendation score greater than a score threshold from the plurality of candidate home devices, wherein the target home system group The similarity between the object data of the object belonging to the second home system and the object data of the object belonging to the first home system is greater than the similarity threshold.

Optionally, the reference home system group includes a plurality of second home systems; for each reference home system group, when the reference home system group enables the target home scene in the historical period, each candidate home device in the plurality of candidate home devices The third percentage of launches for , including:

For each reference home system group, when each of the plurality of second home systems included in the reference home system group activates the target home scene in the historical period, the number of each candidate home device in the plurality of candidate home devices The fourth proportion of startup times;

For each candidate home device among multiple candidate home devices, based on the average value of the fourth proportion of candidate home devices when multiple second home systems enable the target home scene in the historical period, determine the reference home system group in the history The proportion of the third number of startup times of the selected home device when the target home scene is enabled within the time period.

To sum up, the embodiment of the present application provides an electronic device. After receiving a recommendation request for a home device that needs to be activated when the first home system activates the target home scene, the electronic device can After the group enables the target home scene in the historical period, the proportion of the third number of startup times of each candidate home device among multiple candidate home devices is determined, and the comparison between each reference home device group and each candidate home device among multiple candidate home devices is determined. , and determine a plurality of recommended home devices based on the recommendation score. It can be seen that when the electronic device determines the recommended home equipment, it takes into account the recommendation scores of each candidate home equipment by each reference home system group, that is, the data used when determining the recommended home equipment is relatively comprehensive, so that the definite recommendation can be ensured. The accuracy of household equipment is high and relatively objective.

As shown in FIG. 10 , the electronic device 110 provided by this embodiment of the present application may further include: a display unit 130, a radio frequency (radio frequency, RF) circuit 150, an audio circuit 160, a wireless fidelity (wireless fidelity, Wi-Fi) module 170, Bluetooth module 180, power supply 190, camera 121 and other components.

Wherein, the camera 121 can be used to capture still pictures or videos. The object generates an optical picture through the lens and projects it to the photosensitive element. The photosensitive element may be a charge coupled device (charge coupled device, CCD) or a complementary metal-oxide-semiconductor (complementary metal-oxide-semiconductor, CMOS) phototransistor. The photosensitive element converts the light signal into an electrical signal, and then transmits the electrical signal to the processor 1101 for conversion into a digital picture signal.

The processor 1101 is the control center of the electronic device 110. It uses various interfaces and lines to connect various parts of the entire terminal. By running or executing software programs stored in the memory 140 and calling data stored in the memory 140, the electronic device executes 110 various functions and processing data. In some embodiments, the processor 1101 may include one or more processing units; the processor 1101 may also integrate an application processor and a baseband processor, wherein the application processor mainly processes the operating system, user interface and application programs, etc., and the baseband The processor mainly handles wireless communication. It can be understood that the foregoing baseband processor may not be integrated into the processor 1101 . In this application, the processor 1101 can run the operating system and application programs, control the user interface display, and implement the recommendation method provided by the embodiment of the application (ie, the recommendation method of the operating parameters of the household equipment, or the recommendation method of the household equipment). In addition, the processor 1101 is coupled with the input unit and the display unit 130 .

The display unit 130 can be used to receive input digital or character information, and generate signal input related to user settings and function control of the electronic device 110. Optionally, the display unit 130 can also be used to display information input by the user or provide the user with information and a graphical user interface (graphical user interface, GUI) of various menus of the electronic device 110 . The display unit 130 may include a display screen 131 disposed on the front of the electronic device 110 . Wherein, the display screen 131 may be configured in the form of a liquid crystal display, a light emitting diode, or the like. The display unit 130 may be used to display various graphical user interfaces described in this application.

The display unit 130 includes: a display screen 131 and a touch screen 132 arranged on the front of the electronic device 110 . The display screen 131 can be used to display preview pictures. The touch screen 132 can collect touch operations of the user on or near it, such as clicking a button, dragging a scroll box, and the like. Wherein, the touch screen 132 can be covered on the display screen 131 , or the touch screen 132 and the display screen 131 can be integrated to realize the input and output functions of the electronic device 110 , and the integration can be referred to as a touch screen for short.

The memory 140 can be used to store software programs and data. The processor 1101 executes various functions and data processing of the electronic device 110 by executing software programs or data stored in the memory 140 . The memory 140 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices. The memory 140 stores an operating system that enables the electronic device 110 to run. In this application, the memory 140 may store an operating system and various application programs, and may also store codes for executing the recommended method provided by the embodiment of this application.

The RF circuit 150 can be used for receiving and sending signals in the process of sending and receiving information or talking, can receive the downlink data from the base station and hand it over to the processor 1101 for processing; and can send the uplink data to the base station. Typically, RF circuits include, but are not limited to, antennas, at least one amplifier, transceivers, couplers, low noise amplifiers, duplexers, and the like.

The audio circuit 160 , the speaker 161 , and the microphone 162 can provide an audio interface between the user and the electronic device 110 . The audio circuit 160 can transmit the electrical signal converted from the received audio data to the speaker 161, and the speaker 161 converts it into an audio signal for output. The electronic device 110 may also be configured with a volume button for adjusting the volume of the sound signal. On the other hand, the microphone 162 converts the collected sound signal into an electrical signal, which is converted into audio data after being received by the audio circuit 160, and then the audio data is output to the RF circuit 150 to be sent to another terminal such as another terminal, or the audio data is output to memory 140 for further processing. In this application, the microphone 162 can acquire the voice of the user.

Wi-Fi is a short-distance wireless transmission technology. The electronic device 110 can help users send and receive emails, browse web pages, and access streaming media through the Wi-Fi module 170, which provides users with wireless broadband Internet access.

The bluetooth module 180 is configured to exchange information with other bluetooth devices having bluetooth modules through the bluetooth protocol. For example, the electronic device 110 can establish a Bluetooth connection with a wearable electronic device (such as a smart watch) that also has a Bluetooth module through the Bluetooth module 180, so as to perform data interaction.

The electronic device 110 also includes a power source 190 (such as a battery) for powering various components. The power supply can be logically connected to the processor 1101 through the power management system, so that functions such as charging, discharging and power consumption can be managed through the power management system. The electronic device 110 may also be configured with a power button for turning on and off the terminal, and locking the screen.

The electronic device 110 may include at least one sensor 1110 , such as a motion sensor 11101 , a distance sensor 11102 and a temperature sensor 11103 . The electronic device 110 may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the mobile terminal and each device described above can refer to the corresponding process in the foregoing method embodiment, and details are not repeated here.

Fig. 12 is a block diagram of the software structure of the mobile terminal provided by the embodiment of the present application. The layered architecture divides the software into several layers, and each layer has a clear role and division of labor. Layers communicate through software interfaces. In some embodiments, the android system is divided into four layers, from top to bottom are application program layer, application program framework layer, Android runtime environment (android runtime, ART) and system library, and kernel layer.

The application layer can consist of a series of application packages. As shown in FIG. 12, the application package may include application programs such as camera, gallery, calendar, call, map, navigation, WLAN, Bluetooth, music, video, and short message. The application framework layer provides an application programming interface (application programming interface, API) and a programming framework for applications in the application layer. The application framework layer includes some predefined functions.

As shown in Figure 12, the application framework layer can include window manager, content provider, view system, phone manager, resource manager, notification manager, etc.

A window manager is used to manage window programs. The window manager can get the size of the display screen, determine whether there is a status bar, lock the screen, capture the screen, etc.

Content providers are used to store and retrieve data and make it accessible to applications. Said data can include video, pictures, audio, calls made and received, browsing history and bookmarks, phonebook, etc.

The view system includes visual controls, such as controls for displaying text, controls for displaying pictures, and so on. The view system can be used to build applications. A display interface can consist of one or more views. For example, a display interface including a text message notification icon may include a view for displaying text and a view for displaying pictures.

The phone manager is used to provide communication functions of the electronic device 110 . For example, the management of call status (including connected, hung up, etc.).

The resource manager provides various resources for the application, such as localized strings, icons, pictures, layout files, video files, and so on.

The notification manager enables the application to display notification information in the status bar, which can be used to convey notification-type messages, and can automatically disappear after a short stay without user interaction. For example, the notification manager is used to notify the download completion, message reminder, etc. The notification manager can also be a notification that appears on the top status bar of the system in the form of a chart or scroll bar text, such as a notification of an application running in the background, or a notification that appears on the screen in the form of a dialog window. For example, prompting text information in the status bar, issuing a prompt sound, vibrating the communication terminal, and flashing the indicator light, etc.

Android runtime includes core library and virtual machine. The android runtime is responsible for the scheduling and management of the Android system.

The core library consists of two parts: one part is the function function that the java language needs to call, and the other part is the core library of Android.

The application layer and the application framework layer run in virtual machines. The virtual machine executes the java files of the application program layer and the application program framework layer as binary files. The virtual machine is used to perform functions such as object life cycle management, stack management, thread management, security and exception management, and garbage collection.

A system library can include multiple function modules. For example: surface manager (surface manager), media library (media libraries), 3D graphics processing library (eg: openGL ES), 2D graphics engine (eg: SGL), etc.

The surface manager is used to manage the display subsystem and provides the fusion of 2D and 3D layers for multiple applications.

The media library supports playback and recording of various commonly used audio and video formats, as well as still picture files, etc. The media library can support a variety of audio and video encoding formats, such as: MPEG4, H.264, MP3, AAC, AMR, JPG, PNG, etc.

The 3D graphics processing library is used to implement 3D graphics drawing, image rendering, synthesis, and layer processing.

2D graphics engine is a drawing engine for 2D drawing.

The kernel layer is the layer between hardware and software. The kernel layer includes at least a display driver, a camera driver, an audio driver, and a sensor driver.

An embodiment of the present application provides an electronic device. The mobile terminal may include a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the computer program, the above implementation The method for recommending the operating parameters of the household equipment provided by the example (such as the method shown in FIG. 1 or FIG. 2 ), or implementing the method for recommending the household equipment provided in the above embodiment (such as the method shown in FIG. 7 or 8 ).

An embodiment of the present application provides a computer-readable storage medium, and a computer program is stored in the computer-readable storage medium, and the computer program is loaded and executed by a processor to implement the method for recommending the operating parameters of household equipment provided in the above-mentioned embodiments (for example, the method shown in FIG. 1 or FIG. 2 ), or implement the method for recommending household devices as provided in the foregoing embodiments (for example, the method shown in FIG. 7 or FIG. 8 ).

The embodiment of the present application also provides a computer program product containing instructions. When the computer program product is run on the computer, the computer is made to execute the method for recommending the operating parameters of the household equipment provided by the above method embodiments (such as FIG. 1 or FIG. 2 The method shown in ), or the method for recommending home appliances provided in the above embodiments (for example, the method shown in FIG. 7 or FIG. 8 ).

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above embodiments can be completed by hardware, and can also be completed by instructing related hardware through a program. The program can be stored in a computer-readable storage medium. The above-mentioned The storage medium mentioned may be a read-only memory, a magnetic disk or an optical disk, and the like.

It should be understood that the "and/or" mentioned in this article means that there may be three relationships, for example, A and/or B may mean that A exists alone, A and B exist simultaneously, and B exists alone. situation. The character "/" generally indicates that the contextual objects are an "or" relationship. Moreover, the meaning of the term "at least one" in this application refers to one or more, and the meaning of the term "multiple" in this application refers to two or more.

In this application, the terms "first" and "second" are used to distinguish the same or similar items with basically the same function and function. It should be understood that "first", "second" and "nth" There are no logical or timing dependencies, nor are there restrictions on quantity or order of execution. For example, a first home device could be termed a second home device, and, similarly, a second home device could be termed a first home device, without departing from the scope of the various described examples.

It should be noted that the information (including but not limited to user equipment information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in this application, All are authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. For example, the object data involved in this application are all obtained under full authorization.

The above are only exemplary embodiments of the application, and are not intended to limit the application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the application shall be included in the protection of the application. within range.

Claims (10)

1. A method for recommending operating parameters of household equipment, characterized in that it is applied to electronic equipment; the method comprises: In response to a recommendation request for operating parameters of a first home appliance, determining a plurality of reference home appliance groups, each of said reference home appliance groups including at least one second home appliance of the same type as said first home appliance; For each of the reference home appliance groups, obtain the ratio of the first number of times the reference home appliance group operates with each candidate operating parameter in a plurality of candidate operating parameters within a historical period; Based on the ratio of the number of first times that the multiple reference household equipment groups operate with each of the candidate operating parameters within the historical period, determine the contribution of each of the reference household equipment groups to each of the multiple candidate operating parameters. The recommended score of a candidate operating parameter; Based on the recommendation scores of the target home appliance group in the plurality of reference home appliance groups for the plurality of candidate operating parameters, determine the recommended operating parameter with the highest recommended score from the plurality of candidate operating parameters; Wherein, the similarity between the object data of the object to which the second household device belongs and the object data of the object to which the first household device belongs is greater than a similarity threshold in the target household device group. 2. The method according to claim 1, characterized in that, the proportions of the first number of operations of the plurality of reference household device groups with each of the candidate operating parameters within the historical period are recorded in the scoring matrix; Based on the proportion of the first number of operation of each of the candidate operating parameters by the plurality of reference household device groups in the historical period, determine the contribution of each of the reference household device groups to the plurality of candidate operating parameters The recommended score for each candidate operating parameter in , including: A matrix decomposition algorithm is used to process the scoring matrix to obtain a recommended score for each of the plurality of candidate operating parameters for each of the reference household device groups. 3. The method according to claim 1, wherein each of the reference household device groups includes a plurality of second household devices, and any two of the objects belonging to the second household devices among the plurality of second household devices The similarity of the object data is greater than the similarity threshold. 4. The method according to claim 3, characterized in that, for each of the reference household equipment groups, the reference household equipment group is acquired within a historical period, and each of the multiple candidate operating parameters is operated The proportion of the first number of times the parameter runs, including: For each of the reference home appliance groups, obtain the second ratio of the number of times that each second home appliance in the reference home appliance group operates with each candidate operating parameter in the plurality of candidate operating parameters within a historical period ; For each candidate operating parameter in the plurality of candidate operating parameters, the average value of the proportion of the second times that the plurality of second home appliances in the reference home appliance group are operated with the candidate operating parameters is determined as The first number of times the reference household device group operates with the candidate operating parameters accounts for the first time. 5. The method according to claim 3, wherein said determining a plurality of reference household device groups comprises: Acquiring object data of objects to which multiple second home devices belong; Based on the object data of the objects to which the multiple second household devices belong, the multiple second household devices are clustered to obtain multiple reference household device groups. 6. The method according to any one of claims 1 to 5, wherein the object data includes: attribute data of the object and/or regional data of the region where the object is located; Wherein, the attribute data includes: one of age and gender of the object, and the region data includes: at least one of location, temperature and humidity of the region. 7. A method for recommending household equipment, characterized in that it is applied to electronic equipment; the method includes: In response to the recommendation request for the home equipment that needs to be started when the first home system starts the target home scene, a plurality of reference home system groups are determined, wherein each of the reference home system groups includes at least one second home system, and each Each of the second home systems includes at least two candidate home devices among a plurality of candidate home devices applicable to the target home scene; For each of the reference home system groups, when the reference home system group activates the target home scene in a historical period, the third number of startup times of each of the candidate home devices among the plurality of candidate home devices is acquired. proportion of times; Based on the proportion of the third number of startup times of the plurality of candidate home devices when the target home scene is activated by the plurality of reference home system groups, determine the contribution of each of the reference home system groups to the plurality of candidate home devices. Recommendation score for each candidate home device in the device; Based on the recommendation scores of the target home system group in the plurality of reference home system groups to the plurality of candidate home devices, determine a plurality of recommended home devices with a recommendation score greater than a score threshold from the plurality of candidate home devices , wherein the similarity between the object data of the object belonging to the second home system in the target home system group and the object data of the object belonging to the first home system is greater than a similarity threshold. 8. The method according to claim 7, characterized in that, the reference home system group includes a plurality of second home systems; and for each of the reference home system groups, obtaining the historical When the target home scene is enabled within a time period, the third proportion of the startup times of each of the candidate home devices among the plurality of candidate home devices includes: For each of the reference home system groups, when each of the multiple second home systems included in the reference home system group activates the target home scene within a historical period, the multiple candidate home The proportion of the fourth number of startup times of each of the candidate home appliances in the device; For each of the plurality of candidate home devices, based on when the plurality of second home systems enable the target home scene within the historical period, the fourth number of times of the candidate home devices accounts for The average value of the ratio is used to determine the proportion of the third number of activation times of the candidate household equipment when the reference household system group activates the target household scene within the historical period. 9. An electronic device, characterized in that, the electronic device comprises: a processor; the processor is used for: In response to a recommendation request for operating parameters of a first home appliance, determining a plurality of reference home appliance groups, each of said reference home appliance groups including at least one second home appliance of the same type as said first home appliance; For each of the reference home appliance groups, obtain the ratio of the first number of times the reference home appliance group operates with each candidate operating parameter in a plurality of candidate operating parameters within a historical period; Based on the ratio of the number of first times that the multiple reference household equipment groups operate with each of the candidate operating parameters within the historical period, determine the contribution of each of the reference household equipment groups to each of the multiple candidate operating parameters. The recommended score of a candidate operating parameter; Based on the recommendation scores of the target home appliance group in the plurality of reference home appliance groups for the plurality of candidate operating parameters, determine the recommended operating parameter with the highest recommended score from the plurality of candidate operating parameters; Wherein, the similarity between the object data of the object to which the second household device belongs and the object data of the object to which the first household device belongs is greater than a similarity threshold in the target household device group. 10. An electronic device, characterized in that the electronic device comprises: a processor; the processor is used for: In response to the recommendation request for the home equipment that needs to be started when the first home system starts the target home scene, a plurality of reference home system groups are determined, wherein each of the reference home system groups includes at least one second home system, and each Each of the second home systems includes at least two candidate home devices among a plurality of candidate home devices applicable to the target home scene; For each of the reference home system groups, when the reference home system group activates the target home scene in a historical period, the third number of startup times of each of the candidate home devices among the plurality of candidate home devices is acquired. proportion of times; Based on the proportion of the third number of startup times of the plurality of candidate home devices when the target home scene is activated by the plurality of reference home system groups, determine the contribution of each of the reference home system groups to the plurality of candidate home devices. Recommendation score for each candidate home device in the device; Based on the recommendation scores of the target home system group in the plurality of reference home system groups to the plurality of candidate home devices, determine a plurality of recommended home devices with a recommendation score greater than a score threshold from the plurality of candidate home devices , wherein the similarity between the object data of the object belonging to the second home system in the target home system group and the object data of the object belonging to the first home system is greater than a similarity threshold.

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