CN111445305A - Household appliance recommendation method and device, storage medium and server - Google Patents

Household appliance recommendation method and device, storage medium and server Download PDF

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Publication number
CN111445305A
CN111445305A CN202010209411.7A CN202010209411A CN111445305A CN 111445305 A CN111445305 A CN 111445305A CN 202010209411 A CN202010209411 A CN 202010209411A CN 111445305 A CN111445305 A CN 111445305A
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user
information
household
household appliance
household appliances
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何适
牟桂贤
温文标
唐朝堃
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations

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Abstract

The invention provides a recommendation method, a recommendation device, a storage medium and a server for household appliances, wherein the method comprises the following steps: the method comprises the following steps: acquiring information of the household appliances used by a currently logged-in user; acquiring environment data of the environment where the household appliance used by the user is located according to the household appliance information used by the user; determining whether the environmental quality of the environment where the user is located reaches the standard or not according to the environmental data and a preset environmental quality judgment standard; if the environment quality is determined to not reach the standard, matching the types of the household appliances which are required to be added by the user according to the non-standard items and the household appliance information used by the user; and sending corresponding household appliance recommendation information according to the matched household appliance types required to be added by the user. The scheme provided by the invention can automatically recommend the household appliances to be added to the user, and can improve the shortage of the household appliances in the household environment of the user.

Description

Household appliance recommendation method and device, storage medium and server
Technical Field
The invention relates to the field of control, in particular to a recommendation method and device for household appliances, a storage medium and a server.
Background
After the existing household electrical appliance products are sold to users, only necessary data information such as orders, product working conditions and the like is obtained, and only the work of selling or promoting new products and the like is performed, so that the required household electrical appliance products cannot be recommended to the users according to the environment quality of the actual use environment of the users.
Disclosure of Invention
The present invention is directed to overcome the drawbacks of the prior art, and provides a method, an apparatus, a storage medium, and a server for recommending a home appliance, so as to solve the problem in the prior art that a desired home appliance cannot be recommended to a user according to the environmental quality of the actual usage environment of the user.
The invention provides a recommendation method of a household appliance, which comprises the following steps: acquiring information of the household appliances used by a currently logged-in user; acquiring environment data of the environment where the household appliance used by the user is located according to the household appliance information used by the user; determining whether the environmental quality of the environment where the user is located reaches the standard or not according to the environmental data and a preset environmental quality judgment standard; if the environment quality is determined to not reach the standard, matching the types of the household appliances which are required to be added by the user according to the non-standard items and the household appliance information used by the user; and sending corresponding household appliance recommendation information according to the matched household appliance types required to be added by the user.
Optionally, the obtaining information of the home appliances used by the currently logged-in user includes: acquiring engineering information bound by a currently logged-in user; the engineering information includes: a building relationship of an installation location of any household appliance that the user has used; and acquiring the information of the household appliances used by the currently logged-in user according to the acquired engineering information.
Optionally, the household appliance comprises: an environmental appliance; the ambient appliance, comprising: air conditioners, dehumidifiers, humidifiers, and/or air purifiers; and/or, the operational data, comprising: setting temperature, setting wind speed, operating mode, setting humidity and/or setting air quality index; and/or, the environmental data, comprising: indoor environmental data and/or outdoor environmental data.
Optionally, the method further comprises: if the environment quality is determined to reach the standard, acquiring product information of household appliances of the same type as the household appliances used by the user according to the equipment information of the household appliances used by the user, and/or acquiring iterative product information of the household appliances used by the user; recommending the obtained equipment information of the household appliances of the same type as the household appliances used by the user and/or the iteration product information of the household appliances used by the user to the user.
Optionally, the method further comprises: recommending the household appliances of the corresponding types to the user according to the matched household appliance types required to be added by the user and the behavior data of the user; and/or recommending other household appliance types to the user according to the household appliance types used by the user and the matched household appliance types required to be added by the user in combination with the behavior data of the user.
Optionally, recommending a corresponding type of household appliance to the user according to the matched type of household appliance required to be added by the user and the behavior data of the user, including: and recommending the household appliances of the corresponding types to the user by utilizing a collaborative filtering algorithm according to the types of the household appliances required to be added by the user and the historical behavior data of the user.
Another aspect of the present invention provides a recommendation apparatus for a home appliance, including: the first acquisition unit is used for acquiring the information of the household appliances used by the currently logged-in user; the second acquisition unit is used for acquiring the environment data of the environment where the household appliance used by the user is located according to the household appliance information used by the user; the determining unit is used for determining whether the environmental quality of the environment where the user is located reaches the standard or not according to the environmental data and a preset environmental quality judgment standard; the matching unit is used for matching the types of the household appliances which are required to be added by the user according to the unqualified items and the household appliance information used by the user if the environment quality is determined to be unqualified; and the recommending unit is used for sending corresponding household appliance recommending information according to the matched household appliance types required to be added by the user.
Optionally, the obtaining unit obtains information of the home appliance used by the currently logged-in user, including: acquiring engineering information bound by a currently logged-in user; the engineering information includes: a building relationship of an installation location of any household appliance that the user has used; and acquiring the information of the household appliances used by the currently logged-in user according to the acquired engineering information.
Optionally, the household appliance comprises: an environmental appliance; the ambient appliance, comprising: air conditioners, dehumidifiers, humidifiers, and/or air purifiers; and/or, the operational data, comprising: setting temperature, setting wind speed, operating mode, setting humidity and/or setting air quality index; and/or, the environmental data, comprising: indoor environmental data and/or outdoor environmental data.
Optionally, the method further comprises: a third obtaining unit, configured to, if the determining unit determines that the environment quality meets the standard, obtain, according to the device information of the home appliance used by the user, product information of a home appliance of the same type as the home appliance used by the user, and/or obtain iterative product information of the home appliance used by the user; the recommending unit is further configured to: recommending the obtained equipment information of the household appliances of the same type as the household appliances used by the user and/or the iteration product information of the household appliances used by the user to the user.
Optionally, the recommending unit is further configured to: recommending the household appliances of the corresponding types to the user according to the matched household appliance types required to be added by the user and the behavior data of the user; and/or recommending other household appliance types to the user according to the household appliance types used by the user and the matched household appliance types required to be added by the user in combination with the behavior data of the user.
Optionally, the recommending unit recommends the corresponding type of the home appliance to the user according to the matched type of the home appliance that the user needs to add and the behavior data of the user, including: and recommending the household appliances of the corresponding types to the user by utilizing a collaborative filtering algorithm according to the types of the household appliances required to be added by the user and the behavior data of the user.
A further aspect of the invention provides a storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of any of the methods described above.
Yet another aspect of the present invention provides a server comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of any of the methods described above when executing the program.
The invention further provides a server which comprises any one of the recommending device of the household appliance.
According to the technical scheme of the invention, the household appliances needing to be added are automatically recommended to the user according to the environment data detected by the household appliances and the preset environment quality judgment standard, so that the shortage condition of the household environment appliances of the user can be improved, the life quality of the user is improved, the steps of searching the required household appliances by the user can be reduced, and the time cost of searching by the user is reduced. According to the technical scheme of the invention, according to the types of the household appliances required to be added by the user and the user behavior data, the household appliances used by the user and having the same preference as the current user can be recommended to the user by utilizing the collaborative filtering algorithm, and after the types of the household appliances required to be added by the current user are determined, the appliances of the corresponding appliance types can be recommended to the current user according to the household appliances used by the user and having the same preference as the current user, so that the user can conveniently select the household appliances required to be added, and the electric appliance products which the current user wishes to obtain can be predicted and screened. According to the technical scheme of the invention, product groups lacking in the user can be intelligently recommended, an optimal ecological chain collocation scheme is provided for the user, the environmental quality of the environment where the user is located is improved, the user experience can be improved, and the retention rate of the user is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a method schematic diagram of an embodiment of a recommendation method of a home appliance provided by the present invention;
fig. 2 is a method schematic diagram of another embodiment of a recommendation method of a home appliance provided by the present invention;
fig. 3 is a method diagram of a further embodiment of a recommendation method of a home appliance provided by the present invention;
fig. 4 is a schematic structural diagram of an embodiment of a recommendation device of a home appliance provided by the present invention;
fig. 5 is a schematic structural diagram of another embodiment of a recommendation device of a home appliance provided by the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a method schematic diagram of an embodiment of a recommendation method for a home appliance provided by the present invention.
As shown in fig. 1, according to an embodiment of the present invention, the recommendation method for a home appliance includes at least step S110, step S120, step S130, step S140, and step S150.
Step S110, acquiring the information of the household appliances used by the currently logged-in user.
The user can log in (server) through a client application installed on the terminal, specifically, can log in through a special client application, for example, a special APP installed on a mobile phone, or the user can log in through a sub program of the client application, for example, the user logs in through a small program in a mobile phone WeChat APP. The specific login manner may be, for example, code scanning login, such as entering a corresponding applet interface through code scanning of the wechat APP (after code scanning, an applet interface acquisition request is automatically sent to the server, and the server returns the corresponding applet interface), or a corresponding applet name may be searched in a specific client application, for example, a corresponding applet name is searched in the wechat APP, and the server returns the corresponding applet interface. The home appliance information that the user has used may include home appliance information that the user has purchased and installed the use.
In a specific implementation mode, acquiring project information bound by a currently logged-in user; and acquiring the information of the household appliances used by the currently logged-in user according to the acquired engineering information. The engineering information includes: a building relationship of installation positions of the home appliances that the user has used. For example, when the air conditioner is installed, the building relationship of the installation location is acquired. The building relationship may be building-floor-room, that is, the building where the installation location is located, the floor where the installation location is located, and the room where the installation location is located.
The account information used by the user for logging in can be bound with the engineering information of the user, namely the account information of the user can be bound with the building relation of the installation position of the household appliance used by the user. The engineering information of the user may be bound to the information of the household appliance used by the user, for example, the engineering information of the user may be stored in a server corresponding to the information of the household appliance used by the user, and the information of the household appliance used by the user may be obtained by obtaining the engineering information of the user. The home appliance information may specifically include: device identification information. The device identification information may be bound with engineering information of the user. The household electrical appliance body may comprise an ambient electrical appliance; including, for example, an air conditioner, dehumidifier, humidifier, and/or air purifier.
And step S120, acquiring environment data of the environment where the household appliance used by the user is located according to the household appliance information used by the user.
Specifically, the home appliance information may specifically include device identification information. The device identification information of the household appliance used by the user is acquired, and the environment data sent by the corresponding household appliance can be acquired according to the device identification information. For example, the household appliance used by the user may automatically report the environment data of the environment detected by the sensor to the server. The environment data includes indoor environment data and/or outdoor environment data, such as indoor and outdoor ambient temperatures detected by indoor and outdoor temperature and humidity sensors, indoor and outdoor ambient humidity, and/or indoor and outdoor air quality indexes detected by air quality sensors. Or obtaining the user position information through positioning, obtaining the weather information of the area where the user is located according to the user position information, and obtaining the outdoor environment data from the weather information.
Step S130, determining whether the environmental quality of the environment where the user is located reaches the standard according to the environmental data and a preset environmental quality judgment standard.
Specifically, whether the environmental quality of the environment where the user is located reaches the standard is determined according to the difference value between the environmental data and a preset environmental quality judgment standard. The preset environmental quality judgment standard is, for example, a five-constant judgment standard, that is, constant temperature, constant humidity, constant oxygen, constant static, constant cleanness, and includes, for example: temperature (24-26 ℃ in summer and 20-24 ℃ in winter), humidity (40-60% RH), oxygen content (19.5-20.5%), noise (35 dB) and CADR (filtration efficiency > 95%). The environment quality judgment standard comprises standard values of a plurality of items of data; the environment data may be a data set, which includes multiple items of data corresponding to multiple items of data in a preset environment quality judgment standard; each item of data comprises a plurality of detection values, the plurality of detection values of each item of data are subtracted from corresponding standard values in the environment quality judgment standard, the result is squared and then summed, the sum is squared, the result is further squared, the standard difference value between the item of data and the corresponding standard value is obtained and then compared with a preset threshold value, if the sum is smaller than the preset threshold value, the item of data reaches the standard, otherwise, the item of data does not reach the standard.
Step S140, if the environment quality is determined to be not up to the standard, matching the types of the household appliances which are required to be added by the user according to the non-up items and the household appliance information used by the user.
For example, if it is determined that the environmental quality does not meet the standard, for example, the humidity does not meet the standard, it is determined that the user needs to add a humidifier or dehumidifier according to the humidity condition and by combining the information of the household appliances used by the user (for example, the user does not have a humidifier or dehumidifier).
And S150, sending corresponding household appliance type recommendation information according to the matched household appliance types required to be added by the user.
That is, the user is recommended the types of home appliances that he or she currently needs to increase. The household appliance recommendation information may be specifically text information or voice information. For example, text information or voice information is sent to a terminal used by the user, and the user is prompted to add a humidifier or dehumidifier. The household appliance type recommendation information may be a recommendation list.
According to the embodiment of the invention, the household appliances needing to be added are automatically recommended to the user according to the household appliance operation data, the environment data, the user behavior data and the preset environment quality judgment standard (namely the five constant health standard), so that the shortage condition of the household environment appliances of the user can be improved, the life quality of the user is improved, the steps of searching the required household appliances by the user can be reduced, and the time cost of searching by the user is reduced.
Fig. 2 is a method schematic diagram of another embodiment of a recommendation method of a home appliance provided by the present invention. As shown in fig. 2, based on the above embodiment, according to another embodiment of the present invention, the method for recommending a home appliance further includes step S160.
And step S160, recommending the household appliances of the corresponding types to the user according to the matched household appliance types required to be added by the user and the behavior data of the user.
Specifically, the device identification information of the home appliance used by the user is acquired, and the behavior data of the user sent by the corresponding home appliance may be acquired according to the device identification information, for example, the home appliance used by the user may automatically report the behavior data of the user using the home appliance to the server. And recommending the household appliances of the corresponding types to the user by utilizing a collaborative filtering algorithm according to the types of the household appliances required to be added by the user and the behavior data of the user. For example, users having the same preference may be calculated through a collaborative filtering algorithm according to the behavior data of the users, so that the commodity recommendation may be performed among the users having the same preference. To give a simple example, user a purchased a patio machine and a humidifier, and user B purchased both products and both given five-star goodwill, labeled user A, B as a homogeneous user. At this point if and if it is determined that A needs to add an air purifier and B purchases XX brand of air purifier, then XX brand is recommended for the A air purifier.
The household appliances which are used by the user and have the same preference as the current user can be obtained through the collaborative filtering algorithm, after the type of the household appliances which are required to be added by the current user is determined, the appliances of the corresponding appliance type can be recommended to the current user according to the household appliances which are used by the user and have the same preference as the current user, so that the user can conveniently select the household appliances which are required to be added, and the electric appliance products which are expected to be obtained by the current user can be predicted and screened.
Optionally, according to another embodiment of the present invention, the method for recommending a home appliance further includes: and recommending other household appliance types to the user according to the household appliance types used by the user and the matched household appliance types required to be added by the user in combination with the behavior data of the user.
Specifically, the home appliances used by the user and having the same preference as the current user can be obtained through a collaborative filtering algorithm according to the behavior data of the user, after the types of the home appliances used by the user have been obtained and the types of the home appliances required to be added by the current user have been determined, unused home appliances can be recommended to the current user according to the home appliances used by the user and having the same preference as the current user, that is, recommended items based on the behaviors of the users are added on the basis of previously obtained home appliance recommendation information (such as a recommendation list) of the appliances required to be added, so as to enrich the recommendation information.
Fig. 3 is a method schematic diagram of another embodiment of a recommendation method for a home appliance provided by the present invention. As shown in fig. 3, based on the above embodiments, according to another embodiment of the present invention, the method for recommending a home appliance further includes step S170 and step S180.
Step S170, if the environment quality is determined to reach the standard, acquiring the same type of household appliance information as the household appliance used by the user according to the household appliance information used by the user, and/or acquiring iterative product information of the household appliance used by the user.
And step S180, recommending the obtained product information of the household appliances of the same type as the household appliances used by the user and/or the iteration product information of the household appliances used by the user to the user.
Specifically, the home appliance information includes: device model, installation date, and/or iteration product information. If the environment quality is determined to reach the standard, the same type of products of the household appliances already used by the user can be recommended to the user, or iterative product information of the household appliances already used by the user can be recommended to the user. For example, if the service time of a certain household appliance of the user is longer according to the installation date in the used household appliance information, a new product of the same type can be recommended to the user, or an iterative product of the appliance can be recommended to the user; or obtaining an iterative product with better performance of a certain household appliance of the user according to the iterative product information in the used household appliance information, and recommending the iterative product to the user. Specifically, the acquired device information of the household appliances of the same type as the household appliances used by the user and/or the iterative device information of the household appliances used by the user may be displayed on a client APP user interface or an applet (e.g., a wechat applet) interface used by the user.
According to the embodiment of the invention, the information of the household appliances of the same type as the household appliances used by the user can be acquired according to the information of the household appliances used by the user, and/or the iterative product information of the household appliances used by the user can be acquired and recommended to the user, so that the environmental quality of the environment where the user is located can be further improved, the user experience can be improved, and the user retention rate can be further improved.
Fig. 4 is a schematic structural diagram of an embodiment of a recommendation device of a home appliance provided by the present invention. As shown in fig. 4, the recommendation apparatus 100 for home appliances includes a first obtaining unit 110, a second obtaining unit 120, a determining unit 130, a matching unit 140, and a recommending unit 150.
The first obtaining unit 110 is used to obtain information of home appliances used by a currently logged-in user.
The user can log in (server) through a client application installed on the terminal, specifically, can log in through a special client application, for example, a special APP installed on a mobile phone, or the user can log in through a sub program of the client application, for example, the user logs in through a small program in a mobile phone WeChat APP. The specific login manner may be, for example, code scanning login, such as entering a corresponding applet interface through code scanning of the wechat APP (after code scanning, an applet interface acquisition request is automatically sent to the server, and the server returns the corresponding applet interface), or a corresponding applet name may be searched in a specific client application, for example, a corresponding applet name is searched in the wechat APP, and the server returns the corresponding applet interface. The home appliance information that the user has used may include home appliance information that the user has purchased and installed the use.
In a specific embodiment, the first obtaining unit 110 obtains engineering information bound to a currently logged-in user; and acquiring the information of the household appliances used by the currently logged-in user according to the acquired engineering information. The engineering information includes: a building relationship of installation positions of the home appliances that the user has used. For example, when the air conditioner is installed, the building relationship of the installation location is acquired. The building relationship may be building-floor-room, that is, the building where the installation location is located, the floor where the installation location is located, and the room where the installation location is located.
The account information used by the user for logging in can be bound with the engineering information of the user, namely the account information of the user can be bound with the building relation of the installation position of the household appliance used by the user. The engineering information of the user may be bound to the information of the household appliance used by the user, for example, the engineering information of the user may be stored in a server corresponding to the information of the household appliance used by the user, and the information of the household appliance used by the user may be obtained by obtaining the engineering information of the user. The home appliance information may specifically include: device identification information. The device identification information may be bound with engineering information of the user. The household electrical appliance body may comprise an ambient electrical appliance; including, for example, an air conditioner, dehumidifier, humidifier, and/or air purifier.
The second obtaining unit 120 is configured to obtain environment data of an environment in which the household appliance used by the user is located according to the household appliance information used by the user.
Specifically, the home appliance information may specifically include device identification information. The second obtaining unit 120 may obtain, according to the device identification information, the device identification information of the home appliance used by the user, the corresponding home appliance transmission environment data. For example, the household appliance used by the user may automatically report the environment data of the environment detected by the sensor to the server. The environmental data includes indoor environmental data and outdoor environmental data, such as indoor and outdoor ambient temperatures detected by indoor and outdoor temperature and humidity sensors, indoor and outdoor ambient humidity, and/or indoor and outdoor air quality indexes detected by air quality sensors. Or obtaining the user position information through positioning, obtaining the weather information of the area where the user is located according to the user position information, and obtaining the outdoor environment data from the weather information.
The determining unit 130 is configured to determine whether the environmental quality of the environment where the user is located meets the standard according to the environmental data and a preset environmental quality criterion.
Specifically, whether the environmental quality of the environment where the user is located reaches the standard is determined according to the difference value between the environmental data and a preset environmental quality judgment standard. The preset environmental quality judgment standard is, for example, a five-constant judgment standard, that is, constant temperature, constant humidity, constant oxygen, constant static, constant cleanness, and includes, for example: temperature (24-26 ℃ in summer and 20-24 ℃ in winter), humidity (40-60% RH), oxygen content (19.5-20.5%), noise (35 dB) and CADR (filtration efficiency > 95%). The environment quality judgment standard comprises standard values of a plurality of items of data; the environment data may be a data set, which includes multiple items of data corresponding to multiple items of data in a preset environment quality judgment standard; each item of data comprises a plurality of detection values, the plurality of detection values of each item of data are subtracted from corresponding standard values in the environment quality judgment standard, the result is squared and then summed, the sum is squared, the result is further squared, the standard difference value between the item of data and the corresponding standard value is obtained and then compared with a preset threshold value, if the sum is smaller than the preset threshold value, the item of data reaches the standard, otherwise, the item of data does not reach the standard.
The matching unit 140 is configured to match the types of the household appliances added by the user according to the non-compliance item and the household appliance information used by the user if it is determined that the environmental quality does not comply with the compliance.
For example, if it is determined that the environmental quality does not meet the standard, for example, the humidity does not meet the standard, it is determined that the user needs to add a humidifier or dehumidifier according to the humidity condition and by combining the information of the household appliances used by the user (for example, the user does not have a humidifier or dehumidifier).
The recommending unit 150 is configured to send corresponding household appliance recommendation information according to the matched household appliance types that the user needs to add.
That is, the recommendation unit 150 recommends the types of home appliances, which the user currently needs to add, to the user. The household appliance recommendation information may be specifically text information or voice information. For example, text information or voice information is sent to a terminal used by the user, and the user is prompted to add a humidifier or dehumidifier. The household appliance type recommendation information may be a recommendation list.
According to the embodiment of the invention, the household appliances needing to be added are automatically recommended to the user according to the household appliance operation data, the environment data, the user behavior data and the preset environment quality judgment standard (namely the five constant health standard), so that the shortage condition of the household environment appliances of the user can be improved, the life quality of the user is improved, the steps of searching the required household appliances by the user can be reduced, and the time cost of searching by the user is reduced.
Optionally, the recommending unit 150 is further configured to: and recommending the household appliances of the corresponding types to the user according to the matched household appliance types required to be added by the user and the behavior data of the user.
Specifically, the device identification information of the home appliance used by the user is acquired, and the behavior data of the user sent by the corresponding home appliance may be acquired according to the device identification information, for example, the home appliance used by the user may automatically report the behavior data of the user using the home appliance to the server. And recommending the household appliances of the corresponding types to the user by utilizing a collaborative filtering algorithm according to the types of the household appliances required to be added by the user and the behavior data of the user. For example, users having the same preference may be calculated through a collaborative filtering algorithm according to the behavior data of the users, so that the commodity recommendation may be performed among the users having the same preference. To give a simple example, user a purchased a patio machine and a humidifier, and user B purchased both products and both given five-star goodwill, labeled user A, B as a homogeneous user. At this point if and if it is determined that A needs to add an air purifier and B purchases XX brand of air purifier, then XX brand is recommended for the A air purifier.
The household appliances used by the user with the same preference as the current user can be obtained through the collaborative filtering algorithm. Therefore, after the type of the household appliance which needs to be added by the current user is determined, the household appliance of the corresponding appliance type can be recommended to the current user according to the household appliance which is used by the user and has the same preference as the current user, so that the user can conveniently select the household appliance which needs to be added, and the electric appliance products which the current user wants to obtain can be predicted and screened.
Optionally, according to another embodiment of the present invention, the recommending unit 150 is further configured to: and recommending other household appliance types to the user according to the household appliance types used by the user and the matched household appliance types required to be added by the user in combination with the behavior data of the user.
Specifically, the recommending unit 150 can obtain the household appliances used by the user with the same preference as the current user through a collaborative filtering algorithm according to the behavior data of the user, and after the types of the household appliances used by the user have been obtained and the types of the household appliances required to be added by the current user have been determined, the recommending unit can recommend the unused household appliances to the current user according to the household appliances used by the user with the same preference as the current user, that is, add recommended items based on the behaviors of the users on the basis of the previously obtained household appliance recommendation information (such as a recommendation list) of the household appliances required to be added, so as to enrich the recommendation information.
Fig. 5 is a schematic structural diagram of another embodiment of a recommendation device of a home appliance provided by the invention. As shown in fig. 5, based on the above embodiment, according to another embodiment of the present invention, the recommendation apparatus 100 for home appliances further includes a third obtaining unit 170 and a display unit 180.
The third obtaining unit 170 is configured to, if the determining unit 130 determines that the environmental quality meets the standard, obtain product information of a home appliance of the same type as the home appliance used by the user according to the device information of the home appliance used by the user, and/or obtain iterative product information of the home appliance used by the user; the recommending unit 150 is further configured to recommend the obtained device information of the same type of home appliances used by the user and/or iterative product information of the home appliances used by the user to the user.
Specifically, the home appliance information includes: device model, installation date, and/or iteration product information. If the environment quality is determined to reach the standard, the same type of products of the household appliances already used by the user can be recommended to the user, or iterative product information of the household appliances already used by the user can be recommended to the user. For example, if the service time of a certain household appliance of the user is longer according to the installation date in the used household appliance information, a new product of the same type can be recommended to the user, or an iterative product of the appliance can be recommended to the user; or obtaining an iterative product with better performance of a certain household appliance of the user according to the iterative product information in the used household appliance information, and recommending the iterative product to the user. Specifically, the recommending unit 150 may display the acquired device information of the same type of home appliances as the home appliances used by the user and/or iterative device information of the home appliances used by the user on a client APP user interface or an applet (e.g., a wechat applet) interface used by the user.
According to the embodiment of the invention, the information of the household appliances of the same type as the household appliances used by the user can be acquired according to the information of the household appliances used by the user, and/or the iterative product information of the household appliances used by the user can be acquired and recommended to the user, so that the environmental quality of the environment where the user is located can be further improved, the user experience can be improved, and the user retention rate can be further improved.
The invention also provides a storage medium corresponding to the recommendation method for the household appliance, on which a computer program is stored, which program, when executed by a processor, carries out the steps of any of the methods described above.
The invention also provides a server corresponding to the recommendation method of the household appliance, which comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of any one of the methods.
The invention also provides a server corresponding to the recommending device of the household appliance, which comprises the recommending device of any one of the household appliances.
According to the scheme provided by the invention, the household appliances needing to be added are automatically recommended to the user according to the environment data of the environment where the household appliances are located and the preset environment quality judgment standard, so that the shortage condition of the household environment appliances of the user can be improved, the life quality of the user is improved, the steps of searching the required household appliances by the user can be reduced, and the time cost of searching by the user is reduced. According to the technical scheme of the invention, according to the types of the household appliances required to be added by the user and the user behavior data, the household appliances used by the user and having the same preference as the current user can be recommended to the user by utilizing the collaborative filtering algorithm, and after the types of the household appliances required to be added by the current user are determined, the appliances of the corresponding appliance types can be recommended to the current user according to the household appliances used by the user and having the same preference as the current user, so that the user can conveniently select the household appliances required to be added, and the electric appliance products which the current user wishes to obtain can be predicted and screened. According to the technical scheme of the invention, product groups lacking in the user can be intelligently recommended, an optimal ecological chain collocation scheme is provided for the user, the environmental quality of the environment where the user is located is improved, the user experience can be improved, and the retention rate of the user is improved.
The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Other examples and implementations are within the scope and spirit of the invention and the following claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwired, or a combination of any of these. In addition, each functional unit may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and the parts serving as the control device may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims (12)

1. A recommendation method for a home appliance, comprising:
acquiring information of the household appliances used by a currently logged-in user;
acquiring environment data of the environment where the household appliance used by the user is located according to the household appliance information used by the user;
determining whether the environmental quality of the environment where the user is located reaches the standard or not according to the environmental data and a preset environmental quality judgment standard;
if the environment quality is determined to not reach the standard, matching the types of the household appliances which are required to be added by the user according to the non-standard items and the household appliance information used by the user;
and sending corresponding household appliance recommendation information according to the matched household appliance types required to be added by the user.
2. The method of claim 1, wherein obtaining information of home appliances used by a currently logged-in user comprises:
acquiring engineering information bound by a currently logged-in user; the engineering information includes: a building relationship of an installation location of any household appliance that the user has used;
and acquiring the information of the household appliances used by the currently logged-in user according to the acquired engineering information.
3. The method of claim 1 or 2, further comprising:
if the environment quality is determined to reach the standard, acquiring product information of household appliances of the same type as the household appliances used by the user according to the equipment information of the household appliances used by the user, and/or acquiring iterative product information of the household appliances used by the user;
recommending the obtained equipment information of the household appliances of the same type as the household appliances used by the user and/or the iteration product information of the household appliances used by the user to the user.
4. The method according to any one of claims 1-3, further comprising:
recommending the household appliances of the corresponding types to the user according to the matched household appliance types required to be added by the user and the behavior data of the user;
and/or the presence of a gas in the gas,
and recommending other household appliance types to the user according to the household appliance types used by the user and the matched household appliance types required to be added by the user in combination with the behavior data of the user.
5. The method of claim 4, wherein recommending the corresponding type of household appliance to the user according to the matched type of household appliance required to be added by the user and the behavior data of the user comprises:
and recommending the household appliances of the corresponding types to the user by utilizing a collaborative filtering algorithm according to the types of the household appliances required to be added by the user and the behavior data of the user.
6. A recommendation device for a household appliance, characterized by comprising:
the first acquisition unit is used for acquiring the information of the household appliances used by the currently logged-in user;
the second acquisition unit is used for acquiring the environment data of the environment where the household appliance used by the user is located according to the household appliance information used by the user;
the determining unit is used for determining whether the environmental quality of the environment where the user is located reaches the standard or not according to the environmental data and a preset environmental quality judgment standard;
the matching unit is used for matching the types of the household appliances which are required to be added by the user according to the unqualified items and the household appliance information used by the user if the environment quality is determined to be unqualified;
and the recommending unit is used for sending corresponding household appliance recommending information according to the matched household appliance types required to be added by the user.
7. The apparatus according to claim 6, wherein the acquiring unit acquires information on the home appliances used by the currently logged-in user, and includes:
acquiring engineering information bound by a currently logged-in user; the engineering information includes: a building relationship of an installation location of any household appliance that the user has used;
and acquiring the information of the household appliances used by the currently logged-in user according to the acquired engineering information.
8. The apparatus of claim 6 or 7, further comprising:
a third obtaining unit, configured to, if the determining unit determines that the environment quality meets the standard, obtain, according to the device information of the home appliance used by the user, product information of a home appliance of the same type as the home appliance used by the user, and/or obtain iterative product information of the home appliance used by the user;
the recommending unit is further configured to: recommending the obtained equipment information of the household appliances of the same type as the household appliances used by the user and/or the iteration product information of the household appliances used by the user to the user.
9. The apparatus according to any one of claims 6-8, wherein the recommending unit is further configured to:
recommending the household appliances of the corresponding types to the user according to the matched household appliance types required to be added by the user and the behavior data of the user;
and/or the presence of a gas in the gas,
and recommending other household appliance types to the user according to the household appliance types used by the user and the matched household appliance types required to be added by the user in combination with the behavior data of the user.
10. The apparatus of claim 9, wherein the recommending unit recommends the corresponding type of the home appliance to the user according to the matched type of the home appliance that the user needs to add and the behavior data of the user, and comprises:
and recommending the household appliances of the corresponding types to the user by utilizing a collaborative filtering algorithm according to the types of the household appliances required to be added by the user and the behavior data of the user.
11. A storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
12. A server, characterized by comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method according to any one of claims 1 to 5 when executing the program, including the recommendation device for a home appliance according to any one of claims 6 to 10.
CN202010209411.7A 2020-03-23 2020-03-23 Household appliance recommendation method and device, storage medium and server Pending CN111445305A (en)

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