CN113268661A - Method and device for recommending user functions and intelligent household appliance - Google Patents
Method and device for recommending user functions and intelligent household appliance Download PDFInfo
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Abstract
The application relates to the technical field of data processing, and discloses a method for recommending user functions, which comprises the following steps: acquiring target operation data of the household appliance in a preset time period; determining a target demand label corresponding to the target operation data according to the corresponding relation between the type of the household appliance operation data and a preset demand label; determining target function category information corresponding to the user requirement represented by the target requirement label from function category information of the household appliance; and pushing the target function category information to a user. The method comprises the steps of comprehensively analyzing the use condition of the household appliance by a user by acquiring the operation data of the household appliance in a preset time period, determining the use habit of the user on the household appliance according to the user requirement, and realizing personalized function recommendation aiming at different users. Therefore, the user experience is improved, and a user requirement basis is provided for the iterative design of later-stage products. The application also discloses a device for recommending the user function and an intelligent household appliance.
Description
Technical Field
The present application relates to the field of data processing technologies, and for example, to a method and an apparatus for user function recommendation, and an intelligent home appliance.
Background
At present, along with the popularization of the internet, more and more traditional life ways are gradually changed, and the use of household appliances gradually draws close to the direction of intelligent household appliances. The functions of the household appliance tend to be diversified while more convenience is brought to the user.
In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:
the user can easily form inertial thinking in the use of the equipment, and the functions partially conforming to the personalized use of the user are ignored by the user.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview nor is intended to identify key/critical elements or to delineate the scope of such embodiments but rather as a prelude to the more detailed description that is presented later.
The embodiment of the disclosure provides a method and a device for recommending user functions and an intelligent household appliance, and aims to solve the technical problem that a user uses equipment in a personalized manner.
In some embodiments, the method for making user function recommendations comprises:
acquiring target operation data of the household appliance in a preset time period;
determining a target demand label corresponding to the target operation data according to the corresponding relation between the type of the household appliance operation data and a preset demand label;
determining target function category information corresponding to the user requirement represented by the target requirement label from function category information of the household appliance;
and pushing the target function category information to a user.
In some embodiments, the acquiring target operation data of the home device within a preset time period includes:
and acquiring the running time of the equipment and the function use condition of the equipment.
In some embodiments, the determining a target requirement tag corresponding to the target operation data includes:
obtaining target external environment data corresponding to the target operation data in time sequence;
and determining the target operation data and the target requirement label corresponding to the target external environment data according to the corresponding relation among the external environment data, the equipment operation data type and the preset requirement label.
In some embodiments, the determining, from the function category information possessed by the home appliance device, target function category information corresponding to the user requirement represented by the target requirement tag includes:
acquiring function category information of the household appliance;
and matching target function category information corresponding to the target requirement label according to a preset requirement label corresponding to the function category information of the household appliance.
In some embodiments, the obtaining of the function category information of the home device includes:
and acquiring a function selection rule, and determining the target function category information according to the function selection rule and the target requirement label.
In some embodiments, the function selection rule includes:
acquiring the weight ratio of each demand label corresponding to the operation data type of each household appliance;
and determining target function category information according to a preset user demand quantity rule and the weight ratio of each demand label corresponding to the operation data type of each household appliance.
In some embodiments, the pushing the target function category information to the user includes:
and the voice broadcasting pushes the target function category information or pushes the target function category information to a user terminal.
In some embodiments, after pushing the target function category information to the user, the method further includes:
acquiring historical function category information of historical push;
and if the historical function type information pushed to the user exists in the target function type information, determining the function type information which is not pushed from the target function type information, and pushing the information.
In some embodiments, the means for making user function recommendations comprises:
a processor and a memory storing program instructions, characterized in that the processor is configured to execute the method for user function recommendation as described above when executing the program instructions.
In some embodiments, the smart appliance comprises:
the device for recommending the user function is as described above.
The method for recommending the user function, the device for recommending the user function and the intelligent household appliance provided by the embodiment of the disclosure can realize the following technical effects:
the method comprises the steps of comprehensively analyzing the use condition of a user on the household appliance by acquiring the operation data of the household appliance in a preset time period, determining the user requirement according to the user requirement, further determining the use habit of the user on the household appliance according to the user requirement, determining a target function possibly meeting the use habit of the user from the functions of the household appliance, pushing the target function to the user, and realizing personalized function recommendation for different users. Therefore, the user experience is improved, and a user requirement basis is provided for the iterative design of later-stage products.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:
FIG. 1 is a schematic diagram of a method for user function recommendation provided by an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of another method for user function recommendation provided by an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of another method for user function recommendation provided by an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of an apparatus for user function recommendation provided by an embodiment of the present disclosure;
fig. 5 is a schematic diagram of another apparatus for performing user function recommendation provided in an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
The terms "first," "second," and the like in the description and in the claims, and the above-described drawings of embodiments of the present disclosure, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the present disclosure described herein may be made. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.
The term "plurality" means two or more unless otherwise specified.
In the embodiment of the present disclosure, the character "/" indicates that the preceding and following objects are in an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes objects, meaning that three relationships may exist. For example, a and/or B, represents: a or B, or A and B.
With reference to fig. 1, an embodiment of the present disclosure provides a method for performing user function recommendation, including:
and S01, acquiring target operation data of the household appliance in a preset time period.
And S02, determining a target requirement label corresponding to the target operation data according to the corresponding relation between the type of the household appliance operation data and a preset requirement label.
S03, determining target function category information corresponding to the user requirement indicated by the target requirement label from the function category information of the home appliance.
And S04, pushing the target function category information to the user.
By adopting the method for recommending the user function provided by the embodiment of the disclosure, the operating data of the household appliance in the preset time period is acquired, the use condition of the household appliance by the user is comprehensively analyzed, the use habit of the user on the household appliance is determined according to the user requirement, and the personalized function recommendation for different users is realized. Therefore, the user experience is improved, and a user requirement basis is provided for the iterative design of later-stage products.
Optionally, the obtaining of the target operation data of the home device within the preset time period may at least include obtaining an operation time of the device and a functional usage condition of the device. The function usage may include whether the user has used the function, the usage frequency of the function, the single-use duration, and the like, which may not be specifically limited in the embodiment of the present disclosure as long as the usage habit of the device by the user may be reflected.
Optionally, the target operation data of the home appliance device within the preset time period is obtained, where the target operation data is reported at regular intervals by the home appliance device, or the target operation data is triggered and reported when the functional operation state of the home appliance device changes.
Optionally, the household electrical appliance reports the target operation data at regular intervals, where the regular reporting at regular intervals may be five seconds, twenty seconds, thirty seconds or other numerical values. Generally, the target operation data of the household appliance is reported regularly every five seconds.
Optionally, the target operation data is triggered and reported when the functional operation state of the home appliance changes, where the change of the functional operation state may be a change of a functional use condition of the home appliance, a change of an operation state of the home appliance, or a change of a functional state of another home appliance associated with the home appliance.
Optionally, determining a target requirement tag corresponding to the target operation data according to a corresponding relationship between a type of the household appliance operation data and a preset requirement tag, where the determining includes: and determining a preset demand label corresponding to the running data of the household appliance equipment, and determining the preset demand label as the target demand label. Taking a household appliance as an air conditioner as an example, the operation data of the air conditioner acquired in the preset time period can be that a user uses a refrigeration mode from 14:00 to 15:00 in 3, 2 and 3 months in 2021, the use frequency is one time, and the single use duration is one hour; the frequency of using the ventilation mode by the user is zero; therefore, in the preset time period, the operation function of the air conditioning equipment is the cooling mode, and the corresponding preset demand label can be the temperature reduction, that is, the temperature reduction is the target demand label in the preset time period. Optionally, the preset requirement tag may include cooling, humidity reduction, ventilation, and the like, which is not specifically limited in this embodiment of the disclosure as long as the requirement of the user on the household appliance device can be reflected.
Optionally, a corresponding relationship between the home appliance operation data type and the preset requirement tag is shown in table 1, where table 1 is an example table of the corresponding relationship between the home appliance operation data type and the preset requirement tag.
TABLE 1
| Type of operating data of a household appliance | Preset demand label |
| Run data type 1 | Requirement label 1 |
| Run data type 2 | Requirement label 2 |
| ... | ... |
| Run data type n-1 | Requirement label n-1 |
| Run data type n | Requirement label n |
In some optional embodiments, the number of preset requirement tags corresponding to the operation data type of the home appliance may be one or more. In practical applications, taking washing machine equipment as an example, when the operation data types are mixed, the corresponding preset demand labels can be strong washing, drying and various types of clothes. Optionally, in practical application, when the operation data type is drying, the corresponding preset requirement tag may be drying.
In this way, the user requirements are determined by obtaining the operation data of the household appliance in the preset time period, and a data basis is provided for subsequently determining the use habits of the user on the household appliance according to the user requirements and realizing personalized function recommendation for different users.
Optionally, as shown in fig. 2, fig. 2 is another method for performing user function recommendation provided in an embodiment of the present disclosure, and includes:
s11, acquiring target operation data of the household appliance in a preset time period;
s12, obtaining target external environment data corresponding to the target operation data in time sequence;
s13, determining the target operation data and the target requirement label corresponding to the target external environment data according to the corresponding relation between the external environment data, the equipment operation data type and the preset requirement label;
s14, determining target function type information corresponding to the user requirement represented by the target requirement label from the function type information of the household electrical appliance;
and S15, pushing the target function category information to the user.
In practical applications, the target external environment data corresponding to the target operation data in time sequence may be, for example, an air conditioner, and the external environment data of the home appliance includes, but is not limited to, an outdoor temperature, an outdoor humidity, a PM2.5 concentration, or other data.
Alternatively, the target external environment data corresponding to the operation data of the home appliance in time sequence may be acquired by an external environment acquisition system. Alternatively, the target external environment data may be target data periodically reported by the external environment acquisition system at a certain time interval. Optionally, the external environment acquisition system reports the target data at regular intervals of a certain time, where the regular reporting at a certain interval of time may be five seconds, twenty seconds, thirty seconds or other values, and the selected interval reporting time is generally consistent with the operation data selection interval time of the household electrical appliance.
Optionally, determining the target operating data and the target requirement tag corresponding to the target external environment data according to a corresponding relationship between the external environment data, the device operating data type, and a preset requirement tag includes: and determining target operation data and a target requirement label corresponding to the target external environment data according to the determined target operation data in the time sequence relation and the external environment data of the household appliance and the corresponding relation between the type of the household appliance operation data and a preset requirement label.
Optionally, a corresponding relationship between the home appliance operation data type and the corresponding relationship between the external environment data and the preset requirement tag is shown in table 2, and table 2 is an example table of the corresponding relationship between the preset requirement tag corresponding to the home appliance operation data type and the external environment data.
TABLE 2
| Type of data for operating household electrical appliance | External environment data | Preset demand label |
| Run data type 1 | / | Requirement label 1 |
| Run data type 1 | External environment data 1 | Demand tag 1+ demand tag 2 |
| Run data type 2 | External environment data 1 | Requirement label 3 |
| Run data type n | External environment data n | Requirement label n |
Here, when the same home appliance operation data type is selected, the external environment data during the operation of the home appliance is taken into consideration, and the obtained home appliance operation data type, the preset requirement tag corresponding to the external environment data and the preset requirement tag corresponding to the external environment data without consideration are different. Or, under the condition that different types of household appliance operation data are selected, the same external environment data are taken into consideration, and the types of the obtained household appliance operation data and the preset requirement labels corresponding to the external environment data are different.
In some optional embodiments, the number of the preset requirement tags corresponding to the operation data type of the home appliance and the external environment data may be one or more.
Therefore, the external environment data of the running household appliance is taken into consideration determined by the user requirements, the use habit of the user on the household appliance is determined according to the user requirements, and personalized function recommendation aiming at different users is realized. Therefore, the user experience is improved, and a user requirement basis is provided for the iterative design of later-stage products.
Optionally, the determining, from the function category information of the home appliance device, target function category information corresponding to the user requirement indicated by the target requirement tag includes: acquiring function category information of the household appliance; and matching target function category information corresponding to the target requirement label according to a preset requirement label corresponding to the function category information of the household appliance.
Optionally, the obtaining of the function category information of the home appliance includes obtaining function category information of the home appliance used by the user.
Optionally, the obtaining of the function category information of the home appliance includes obtaining all function category information of the home appliance or obtaining part of function category information of the function category of the home appliance. Taking the home appliance as an example of a washing machine, the function category information of the washing machine at least includes: the present disclosure is not limited to the above embodiments, and the present disclosure may be implemented as long as the present disclosure can reflect the function type information of the home appliance.
Optionally, matching, according to a preset requirement tag corresponding to the function category information of the home appliance device, target function category information corresponding to the target requirement tag, including: the method comprises the steps of determining a preset demand label corresponding to function category information of a target household appliance, determining the preset demand label as a demand label of the function category information of the household appliance, and matching the target function category information corresponding to the target demand label according to the preset demand label corresponding to the function category information of the household appliance.
Therefore, through acquiring the function category information of the household appliance and matching the target function category information corresponding to the target requirement label, the using condition of the household appliance by the user is comprehensively analyzed, the using habit of the user on the household appliance is determined according to the user requirement, and the personalized function recommendation aiming at different users is realized. Therefore, the user experience is improved, and a user requirement basis is provided for the iterative design of later-stage products.
Optionally, determining target function category information corresponding to the user requirement represented by the target requirement tag includes: and acquiring a function selection rule, and determining the target function category information according to the function selection rule and the target requirement label.
Optionally, the function selection rule includes: acquiring the weight ratio of each demand label corresponding to the operation data type of each household appliance; and determining target function category information according to a preset user demand quantity rule and the weight ratio of each demand label corresponding to the operation data type of each household appliance.
Optionally, obtaining each demand weight ratio in each target demand label includes: and under the condition that the number of preset demand labels corresponding to the operation data types of the household electrical appliance is multiple, acquiring the weight ratio of each demand label corresponding to the operation data type of each household electrical appliance.
Optionally, the weight ratio of each requirement tag corresponding to the operation data type of each home appliance may be preset by the system. Optionally, in practical applications, taking a refrigerator as an example, for example, the operation data type selected by the refrigerator is a dry product preparation function, and the requirement label corresponding to the dry product preparation function includes: reduce humidity, raise temperature and change wind. Wherein the weight ratio among the humidity reduction, the temperature increase and the air exchange can be 70 percent of the weight ratio of the humidity reduction in the dry matter preparation function; the weight ratio of the elevating temperature in the dry matter preparation function is 25 percent; the weight ratio of the ventilation in the dry matter preparation function is 5 percent; or, for example, the type of the operation data selected by the refrigerator device is defrosting, and the requirement label corresponding to the defrosting function includes: defrosting, i.e., defrosting accounts for 100% of the weight of the defrosting function.
Optionally, the preset user requirement quantity rule may be that the quantity of the requirement tags selected by the operation data type of each household appliance is determined according to the preset user requirement quantity rule under the condition that the operation data type of the household appliance corresponds to the plurality of requirement tags. The selected number of the requirement labels can be a preset value of the system or a value set by the user. For example, in the practical application, the requirement labels and the weight ratios corresponding to the dry product preparation functions are as follows: reducing the humidity by 70 percent; raising the temperature by 25%; and (5) air exchange. And under the condition that the preset user demand quantity rule is two, selecting the demand label corresponding to the dry matter preparation function as the humidity reduction and temperature increase.
In some optional embodiments, the function selection rule may include: and acquiring the function type information of the household appliance equipment, wherein the function type information is lower than the preset use frequency.
Alternatively, the preset frequency of use may be a value preset by the system or a value set by the user, and may be three times a month, four times a quarter, six times a half year, or other values. Generally, the time selection range of the frequency is consistent with the time period for acquiring the target operation data of the household appliance in the preset time period, and the use times are determined by different functions.
In some optional embodiments, the function selection rule may include: and acquiring the function category condition information with the highest matching degree between the preset demand label and the target demand label in the function categories of the household appliance.
Optionally, the function category information with the highest matching degree between the preset requirement tag corresponding to the function category of the home appliance and the target requirement tag may be that the preset requirement tag corresponding to the function category of the home appliance is matched with the target requirement tag in the same or the same number as the target requirement tag; or the preset requirement label with the highest weight ratio in the function categories of the household electrical appliance is the same as the target requirement label in weight.
Therefore, the using condition of the household appliance equipment by the user is comprehensively analyzed, the using habit of the user to the household appliance equipment is determined according to the user requirement, and personalized function recommendation aiming at different users is realized. Therefore, the user experience is improved, and a user requirement basis is provided for the iterative design of later-stage products.
Optionally, pushing the target function category information to a user includes: and the voice broadcasting pushes the target function category information or pushes the target function category information to a user terminal. Optionally, the pushing of the target function category information through voice broadcasting may be through a voice system of the home appliance. Alternatively, the pushing of the target function category information to the user terminal may be the generation of a user usage report within a preset time period.
In some alternative embodiments, generating the user usage report within the preset time period comprises:
and generating a user use report in a preset time period according to the running data of the household appliance in the preset time and the target function type information determined by the method.
Therefore, the running data of the household electrical appliance within the preset time is collected, the user use report is generated, the situation that the user uses the household electrical appliance within the preset time is comprehensively displayed, the user function recommendation is carried out by combining the target function category information, the user use experience is improved, and a basis is provided for the later product iteration design.
Optionally, after pushing the target function category information to the user, the method may include: acquiring pushed historical function category information; and if the historical function type information pushed to the user exists in the target function type information, determining the function type information which is not pushed from the target function type information, and pushing the information.
Therefore, personalized function recommendation aiming at different users is realized by acquiring the pushed historical function category information and pushing the function category information which is not pushed. Thereby promoting the user experience.
In some optional embodiments, before the acquiring target operation data of the home device within the preset time period, the method may include: acquiring identification information of a user; determining a product code and/or a product type of the household appliance associated with the user according to the identification information; and acquiring target household electrical appliance equipment determined by the user according to the product code and/or the product type, acquiring target operation data of the household electrical appliance equipment in a preset time period, and recommending the user function.
Optionally, the obtained user identification information includes a user terminal ID and/or user contact information.
Optionally, determining a product code and/or a product type of the home device associated with the user according to the identification information includes: the association relationship between the user contact information and the user terminal ID, the association relationship between the user terminal ID and the product code and/or the product type of the household appliance, or the association relationship between the user contact information and the product code and/or the product type of the household appliance.
In practical application, optionally, the product code and/or the product type of the household appliance bound with the user terminal ID are determined by acquiring the user terminal ID, and further, the function recommendation of the household appliance of the user is performed by acquiring target operation data of the household appliance within a preset time period. Optionally, by obtaining user contact information, such as: a telephone number, residence address, or other contact information that may represent the user. And determining the product code and/or the product type of the household appliance bound with the user contact information, and further recommending the functions of the household appliance of the user by acquiring target operation data of the household appliance in a preset time period.
Therefore, the incidence relation between the user and the household appliance is determined, the target operation data of the household appliance in the preset time period is obtained, the use condition of the user on the household appliance is comprehensively analyzed, the use habit of the user on the household appliance is determined according to the user requirement, and personalized function recommendation aiming at different users is realized. Therefore, the user experience is improved, and a user requirement basis is provided for the iterative design of later-stage products.
In practical application, taking an air conditioner as an example, acquiring target operation data of the household appliance in a preset time period and external environment data of the household appliance during operation, wherein the target operation data includes but is not limited to user ID, product code and/or product type of the household appliance, binding/unbinding state, binding/unbinding time and other user and equipment binding data; product codes and/or product types of the household appliances, reporting time, starting/shutdown states, wind speed, temperature, power and other set data reported by the household appliances; AI entry, response time, response content, operation command source and other equipment interaction data; the intelligent energy-saving system comprises intelligent energy-saving data, intelligent functions such as the cleaning condition of an air conditioner filter screen, the self-cleaning condition of an air conditioner and the like; wisdom function service condition that adjusts temperature, wisdom purification performance service condition, wisdom new trend function service condition etc. the service data of wisdom scene. And the outdoor temperature, the outdoor humidity, the outdoor PM2.5 concentration and other external environment data of the household appliance during the operation. The data are collected to form bottom layer operation data, the bottom layer operation data are classified by taking a user as a main body and/or taking the equipment function operation condition as a main body, and basic operation data of the household appliance are formed, so that the use conditions of the household appliance in the aspects of basic equipment operation, intelligent functions, intelligent scenes and the like within preset time are displayed for the user in a multi-dimensional mode.
And forming a user use report in a preset time period according to the basic operation data and the target function category information of the household appliance. The report of the user in the preset time period comprises: the intelligent air conditioning system comprises a user ID, a report description time period, an earliest networking date, a user nickname, a user air conditioning binding number of days, a number of days for the user to use the air conditioner, a use duration in an air conditioning on state, a maximum value of a wind speed setting, a maximum value of a temperature setting, a voice question and answer reply number, a remote power-on number, a user energy consumption recording condition, an intelligent temperature regulation function starting number, an intelligent purification function starting number, an intelligent fresh air function starting number, a PM2.5 concentration superscript number, a PM2.5 concentration peak value and target function category information determined in the method.
Optionally, in practical application, as shown in fig. 3, fig. 3 is a schematic diagram of another method for performing user function recommendation provided in the embodiment of the present disclosure, where the method for performing user function recommendation includes the following specific steps: s21, acquiring device reported data within a preset time; s22, determining a target demand label according to the reported data of the equipment; s23, determining target function category information according to the function selection rule and the target demand label; s24, acquiring historical pushing information, and determining pushing function type information according to the historical pushing information and the target function type information; and S25, generating a user use report in a preset time period.
Step S21, acquiring device reported data within a preset time: and acquiring the equipment operation data reported by the household electrical appliance equipment and the external environment data reported by the external environment acquisition system.
Step S22, according to the reported data of the equipment, determining a target demand label: according to the corresponding relation between the type of the running data of the household appliance and a preset requirement label, determining a target requirement label corresponding to the target running data/determining the target running data and the target requirement label corresponding to the target external environment data according to the corresponding relation between the external environment data, the type of the running data of the household appliance and the preset requirement label.
Step S23, determining target function category information according to the function selection rule and the target requirement label: the function selection rule comprises: acquiring the weight ratio of each demand in each target demand label, wherein the weight ratio of each demand label corresponding to the operation data type of each household appliance is acquired under the condition that the number of preset demand labels corresponding to the operation data type of the household appliance is large; and/or acquiring function category information of the function categories of the household appliance, wherein the function categories are lower than the preset use frequency; and/or acquiring function category information with the highest matching degree between a preset demand label and a target demand label in the function categories of the household appliance.
Step S24, obtaining the historical pushing information, and determining the pushing function type information according to the historical pushing information and the target function type information: acquiring pushed historical function category information; if the historical function category information pushed to the user exists in the target function category information, determining the function category information which is not pushed from the target function category information, and regarding the determined function category information as the pushed function category information.
Step S25, generating a user usage report within a preset time period: and generating a user use report in a preset time period according to the equipment reported data in the preset time period and the determined push function type information, and pushing the user use report to the user.
Therefore, the operation data of the household appliance in the preset time period is obtained, the use condition of the household appliance by the user is comprehensively analyzed, the use habit of the user on the household appliance is determined according to the user requirement, and personalized function recommendation aiming at different users is realized. Therefore, the user experience is improved, and a user requirement basis is provided for the iterative design of later-stage products.
With reference to fig. 4, an apparatus for performing user function recommendation provided in an embodiment of the present disclosure includes: a data acquisition module 31, a target requirement determination module 32, a function category information determination module 33 and a push module 34.
Optionally, the data obtaining module 31 is configured to obtain target operation data of the home device within a preset time period. The target operation data at least can be the operation time of the household appliance and the function use condition of the appliance. The function usage may include whether the user has used the function, the usage frequency of the function, the single-use duration, and the like, which may not be specifically limited in the embodiment of the present disclosure as long as the usage habit of the device by the user may be reflected.
Optionally, the target requirement determining module 32 is configured to determine a target requirement tag corresponding to the target operation data according to a corresponding relationship between the type of the household appliance operation data and a preset requirement tag;
optionally, the function category information determining module 33 is configured to determine target function category information corresponding to the user requirement represented by the target requirement tag from function category information possessed by the home appliance device;
optionally, the function category information determining module includes a function selection rule submodule configured to determine the target function category information according to the function selection rule and the target requirement tag. The function selection rule submodule acquires the weight ratio of each demand label corresponding to the operation data type of each household appliance; and determining target function category information according to a preset user demand quantity rule and the weight ratio of each demand label corresponding to the operation data type of each household appliance.
Optionally, the push module 34 is configured to push the target functionality category information to the user.
Optionally, the push module includes a voice broadcast sub-module and a user terminal push sub-module. The voice broadcast submodule is configured to voice broadcast push target function category information. The user terminal pushing submodule is configured to push the target function category information to the user terminal.
By adopting the device for recommending the user function, provided by the embodiment of the disclosure, the comprehensive analysis of the use condition of the user on the household appliance is facilitated, the user requirement is determined according to the user requirement, and then the use habit of the user on the household appliance is determined according to the user requirement. Therefore, the user experience is improved, and a user requirement basis is provided for the iterative design of later-stage products.
Optionally, the apparatus for performing user function recommendation may include a target external environment requirement determining module, configured to obtain target external environment data corresponding to the target operation data in time sequence; and determining the target operation data and the target requirement label corresponding to the target external environment data according to the corresponding relationship among the external environment data, the equipment operation data type and the preset requirement label.
Therefore, the external environment data of the running household appliance is taken into consideration determined by the user requirements, the use habit of the user on the household appliance is determined according to the user requirements, and personalized function recommendation aiming at different users is realized. Therefore, the user experience is improved, and a user requirement basis is provided for the iterative design of later-stage products.
Optionally, the apparatus for performing user function recommendation may include a push filtering module, where the push filtering module is configured to obtain pushed historical function category information; and if the historical function type information pushed to the user exists in the target function type information, determining the function type information which is not pushed from the target function type information, and pushing the information.
Therefore, personalized function recommendation aiming at different users is realized by acquiring the pushed historical function category information and pushing the function category information which is not pushed. Thereby promoting the user experience.
As shown in fig. 5, an apparatus for performing user function recommendation according to an embodiment of the present disclosure includes a processor (processor)100 and a memory (memory) 101. Optionally, the apparatus may also include a Communication Interface (Communication Interface)102 and a bus 103. The processor 100, the communication interface 102, and the memory 101 may communicate with each other via a bus 103. The communication interface 102 may be used for information transfer. The processor 100 may call logic instructions in the memory 101 to perform the method for making user function recommendations of the above embodiments.
In addition, the logic instructions in the memory 101 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products.
The memory 101, which is a computer-readable storage medium, may be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing by executing program instructions/modules stored in the memory 101, that is, implements the method for making user function recommendations in the above embodiments.
The memory 101 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. In addition, the memory 101 may include a high-speed random access memory, and may also include a nonvolatile memory.
The embodiment of the disclosure provides an intelligent household appliance, which comprises the device for recommending the user function.
The intelligent household appliance can be a refrigerator, an air conditioner, a washing machine, a water heater and a range hood.
The disclosed embodiments provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for user function recommendation.
The disclosed embodiments provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-described method for user function recommendation.
The computer-readable storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, where the computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising an …" does not exclude the presence of other like elements in a process, method or apparatus that comprises the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It can be clearly understood by the skilled person that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units may be merely a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (10)
1. A method for user function recommendation, comprising:
acquiring target operation data of the household appliance in a preset time period;
determining a target demand label corresponding to the target operation data according to the corresponding relation between the type of the household appliance operation data and a preset demand label;
determining target function category information corresponding to the user requirement represented by the target requirement label from function category information of the household appliance;
and pushing the target function category information to a user.
2. The method of claim 1, wherein the obtaining target operating data of the home device within a preset time period comprises:
and acquiring the running time of the equipment and the function use condition of the equipment.
3. The method of claim 1, wherein the determining the target demand label corresponding to the target operational data further comprises:
obtaining target external environment data corresponding to the target operation data in time sequence;
and determining the target operation data and the target requirement label corresponding to the target external environment data according to the corresponding relation among the external environment data, the equipment operation data type and the preset requirement label.
4. The method according to any one of claims 1 to 3, wherein the determining target function category information corresponding to the user requirement represented by the target requirement label from the function category information possessed by the home appliance device comprises:
acquiring function category information of the household appliance;
and matching target function category information corresponding to the target requirement label according to a preset requirement label corresponding to the function category information of the household appliance.
5. The method of claim 1, wherein the determining target function category information corresponding to the user requirement represented by the target requirement tag comprises:
and acquiring a function selection rule, and determining the target function category information according to the function selection rule and the target requirement label.
6. The method of claim 5, wherein the function selection rule comprises:
acquiring the weight ratio of each demand label corresponding to the operation data type of each household appliance;
and determining target function category information according to a preset user demand quantity rule and the weight ratio of each demand label corresponding to the operation data type of each household appliance.
7. The method of claim 1, wherein pushing the target function category information to the user comprises:
and the voice broadcasting pushes the target function category information or pushes the target function category information to a user terminal.
8. The method of claim 1, wherein after pushing the target function category information to the user, further comprising:
acquiring pushed historical function category information;
and if the historical function type information pushed to the user exists in the target function type information, determining the function type information which is not pushed from the target function type information, and pushing the information.
9. An apparatus for making user function recommendations, comprising a processor and a memory storing program instructions, characterized in that the processor is configured to perform the method for making user function recommendations according to any of claims 1 to 8 when executing the program instructions.
10. An intelligent appliance, comprising the means for user function recommendation of claim 9.
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