Washing equipment recommendation method and device, equipment and medium

By analyzing the user's washing and care information in groups, a recommendation strategy for washing and care equipment is generated, which solves the difficulty in choosing a washing and care equipment caused by excessive information when users choose a washing and care equipment, and improves the accuracy and efficiency of recommendations.

CN120162476APending Publication Date: 2025-06-17QINGDAO HAIER WASHING MASCH CO LTD +1
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Patent Information

Application Number
CN202311722681.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-12-14
Publication Date
2025-06-17

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Abstract

The invention relates to a washing equipment recommendation method and device, equipment and a medium. The method comprises the steps that washing and care information, collected by washing and care equipment, of each user is acquired, and the washing and care information comprises user information and historical washing and care data; according to the washing and care information of each user, obtaining a plurality of user groups and group washing and care information and group user portraits corresponding to each user group; and generating a washing and care equipment recommendation strategy according to the group washing and care information and the group user portrait corresponding to each user group. In the method, the users are grouped based on the historical washing and care data of each user to obtain a plurality of user groups and group washing and care information corresponding to each user group, and then each user group is portrayed according to the user information of the users contained in each user group, so that the user groups are portrayed. And obtaining a group user portrait corresponding to each user group. In this way, appropriate washing and care equipment can be recommended to the user according to the user group to which the single user belongs.
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Description

Technical Field

[0001] This application belongs to the field of intelligent appliances, and particularly relates to a method, device, equipment, and medium for recommending washing and care equipment. Background Art

[0002] With the development of technology and the ever-emerging usage requirements of people for washing and care equipment, the categories of intelligent washing and care equipment are rich and diverse, and the differences in the washing and care programs they include are relatively large. Even washing and care equipment of the same model may provide different washing and care programs due to differences in their firmware version numbers.

[0003] When facing a large number of washing and care equipment, users not only need to consider whether the multiple washing and care programs included in the candidate washing and care equipment meet their personalized usage requirements, but also need to consider whether the candidate washing and care equipment supports the program parameters, clothing types, etc. preferred by themselves or their family members.

[0004] In this way, it will lead to users needing to understand a variety of information, and then select suitable washing and care equipment based on this information, wasting time and being inefficient. Summary of the Invention

[0005] In order to solve the above problems in the prior art, that is, to facilitate directly recommending suitable washing and care equipment to users according to their usage requirements, this application provides a method, device, equipment, and medium for recommending washing and care equipment.

[0006] In a first aspect, this application provides a method for recommending washing and care equipment, including:

[0007] Obtain the washing and care information of each user collected by the washing and care equipment, where the washing and care information includes user information and historical washing and care data;

[0008] Based on the washing and care information of each user, obtain multiple user groups and the group washing and care information and group user portraits corresponding to each user group;

[0009] Generate a washing and care equipment recommendation strategy according to the group washing and care information and group user portraits corresponding to each user group.

[0010] In a possible implementation manner, the obtaining multiple user groups and the group washing and care information and group user portraits corresponding to each user group based on the washing and care information of each user includes:

[0011] Cluster each user based on the historical washing and care data of each user to obtain multiple user groups and the group washing and care information corresponding to each user group; where the historical washing and care data of each user group is similar;

[0012] Based on the user information of the users in each user group, obtain the group user portraits corresponding to each user group respectively.

[0013] In a possible implementation manner, the clustering of each user based on the historical washing and care data of each user to obtain multiple user groups and the group washing and care information corresponding to each user group includes:

[0014] Preset K clustering centers, where K is a positive integer;

[0015] Perform clustering analysis on the historical washing and care data of each user based on the K clustering centers to obtain the user groups corresponding to the similar historical washing and care data and the group washing and care information.

[0016] In a possible implementation manner, the generating of the washing and care equipment recommendation strategy according to the group washing and care information and the group user portrait corresponding to each user group includes:

[0017] Obtain candidate washing and care equipment that meets the group washing and care information;

[0018] Obtain the equipment information of the actual washing and care equipment currently used by the user group, where the equipment information includes the appearance information and performance information of the washing and care equipment; wherein, the actual washing and care equipment is the washing and care equipment with a usage amount greater than a preset amount among the users in the user group;

[0019] According to the equipment information, determine the target washing and care equipment that meets the equipment information among the candidate washing and care equipment, and establish a first association relationship between the target washing and care equipment and the group user portrait.

[0020] In a possible implementation manner, after generating the washing and care equipment recommendation strategy according to the group washing and care information and the group user portrait corresponding to each user group, the method further includes:

[0021] Determine the group user portrait to which the current user belongs according to the user information of the current user;

[0022] Determine the target washing and care equipment recommended to the current user according to the first association relationship.

[0023] In a possible implementation manner, the method further includes:

[0024] Based on the historical washing and care data of the user group, obtain the target washing and care program of the target washing and care equipment and the target washing and care parameters corresponding to the target washing and care program, where the historical washing and care data includes at least one of the operating parameters of the washing and care equipment, clothing information, the number of times the user uses different washing and care programs, or the washing and care parameters corresponding to each washing and care program;

[0025] Establish a second association relationship between the target washing and care program, the target washing and care parameters corresponding to the target washing and care program, and the target washing and care device.

[0026] In a possible implementation manner, the method further includes:

[0027] If it is detected that the current user accepts the recommended target washing and care device, then according to the second association relationship, recommend a target washing and care program and the target washing and care parameters corresponding to the target washing and care program for the current user.

[0028] In a second aspect, the present application provides a washing and care device recommendation apparatus, including:

[0029] An acquisition module, configured to acquire the washing and care information of each user collected by the washing and care device, where the washing and care information includes user information and historical washing and care data;

[0030] A first processing module, configured to obtain multiple user groups and the group washing and care information and group user portraits corresponding to each user group according to the washing and care information of each user;

[0031] A second processing module, configured to generate a washing and care device recommendation strategy according to the group washing and care information and group user portraits corresponding to each user group.

[0032] In a third aspect, the present application provides a washing and care device recommendation device, including: at least one processor and a memory;

[0033] The memory stores computer execution instructions;

[0034] At least one processor executes the computer execution instructions stored in the memory, so that at least one processor executes the washing and care device recommendation method as described above.

[0035] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the washing and care device recommendation method as described above are implemented.

[0036] The washing and care device recommendation method, apparatus, device, and medium provided by the present application acquire the washing and care information of each user collected by the washing and care device, where the washing and care information includes user information and historical washing and care data; obtain multiple user groups and the group washing and care information and group user portraits corresponding to each user group according to the washing and care information of each user; and generate a washing and care device recommendation strategy according to the group washing and care information and group user portraits corresponding to each user group.

[0037] In the above method, based on the historical washing and care data generated by each user when using the washing and care equipment, users are grouped to obtain multiple user groups and the group washing and care information corresponding to each user group. Then, according to the user information of the users included in each user group, each user group is profiled, and further the group user profile corresponding to each user group is obtained. Based on the group washing and care information and the group user profile corresponding to the user group, a washing and care equipment recommendation strategy that meets the needs of this user group can be determined. Specifically, when recommending a washing and care equipment to a single user, the group user profile to which the user belongs can be determined according to the user's user information, and then a suitable washing and care equipment can be recommended to the user according to the group washing and care information corresponding to this group user profile. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings herein are incorporated into and constitute a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0039] Figure 1 FIG. is a schematic diagram of an application scenario provided by an embodiment of the present application;

[0040] Figure 2 FIG. is a flowchart of a washing and care equipment recommendation method provided by an embodiment of the present application Figure 1 ;

[0041] Figure 3 FIG. is a flowchart of a washing and care equipment recommendation method provided by an embodiment of the present application Figure 2 ;

[0042] Figure 4 FIG. is a flowchart of a washing and care equipment recommendation method provided by an embodiment of the present application Figure 3 ;

[0043] Figure 5 FIG. is a schematic structural diagram of a washing and care equipment recommendation device provided by an embodiment of the present invention;

[0044] Figure 6 FIG. is a hardware schematic diagram of a washing and care equipment recommendation device provided by an embodiment of the present invention.

[0045] Through the above accompanying drawings, specific embodiments of the present application have been shown, and there will be more detailed descriptions hereinafter. These drawings and the textual descriptions are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] To make the objectives, technical solutions, and advantages of this application clearer, the following will clearly and completely describe the technical solutions in this application in conjunction with the accompanying drawings in this application. Obviously, the described embodiments are some, but not all, of the embodiments of this application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts shall fall within the scope of protection of this application.

[0047] In the description of the present invention and the claims, as well as in the above-mentioned drawings, terms such as "first", "second", "third", "fourth", etc. (if any) are used to distinguish similar objects and do not necessarily have to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order different from those illustrated or described herein.

[0048] In the embodiments of this application, words such as "exemplary" or "for example" are used to represent examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary" or "for example" in this application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary" or "for example" is intended to present relevant concepts in a specific manner.

[0049] With the rapid development of the economy and the emergence of an endless stream of intelligent washing and care devices, people increasingly value the intelligent experience brought by intelligent washing and care devices and the liberation of hands to a large extent. The washing and care product models produced by different manufacturers vary, and different models of products provide different washing and care programs, giving users more choices.

[0050] However, when users face a rich variety of intelligent washing and care products, it is difficult to select products that meet their needs from numerous washing and care devices without product background information and specific goals.

[0051] Therefore, this application proposes a method for intelligent recommendation of washing and care devices. It mainly collects the user information and historical washing and care data of all users through the washing and care devices, divides all users into groups based on the historical washing and care data to obtain multiple user groups and the corresponding group washing and care information for each group, and then portraits each user group according to the user information of the users in each user group to obtain the group user portrait of the user group. In this way, after obtaining multiple user groups and the corresponding group washing and care information and group user portraits for each user group, it is possible to match washing and care device products suitable for the group according to the group characteristics of this user group.

[0052] The following will be combined with Figure 1 , to illustrate the application scenarios of this application.

[0053] Figure 1 A schematic diagram of an application scenario provided by an embodiment of the present application. As Figure 1 shown, this scenario includes a washing and care device 101, a server 102, and a merchant terminal 103. The execution subject in this embodiment is the server 102.

[0054] The washing and care device 101 can collect the washing and care information of each user using the washing and care device 101. The washing and care information includes user information and historical washing and care data, and can also send the collected washing and care information to the server 102.

[0055] The server 102 can receive the washing and care information sent by multiple washing and care devices 101, and determine multiple user groups and the group washing and care information and group user portraits corresponding to each user group according to the washing and care information of each user; and then generate and send a washing and care device recommendation strategy to the merchant terminal 103 according to the group washing and care information and group user portraits corresponding to each user group. When facing a single user who needs to purchase a washing and care device product, only the user information of the user is needed to determine the user group to which the user belongs, and then a washing and care device recommendation strategy suitable for the user can be obtained.

[0056] In this embodiment, the merchant terminal 103 is used to provide information about washing and care device products, including information such as category, quantity, appearance, and performance, and can also receive the recommendation strategy from the server 102, which is convenient for product merchants to recommend washing and care device products based on the recommendation strategy and product information.

[0057] In summary, based on the historical washing and care data of users for group division, the server 102 combines the user information of the users included in the user group to generate a group user portrait, and accordingly provides different washing and care device product recommendation strategies for each user group, improving the recommendation accuracy of washing and care device products.

[0058] Next, specific embodiments will be used to detail the technical solution of the present application and how the technical solution of the present application solves the above technical problems. These several specific embodiments can be implemented independently or in combination with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

[0059] Figure 2 The flow of a washing and care device recommendation method provided by an embodiment of the present application Figure 1 As Figure 2 shown, this method includes:

[0060] S201. Obtain the washing and care information of each user collected by the washing and care device, where the washing and care information includes user information and historical washing and care data.

[0061] In the above solution, when different users use the washing and care equipment, they will wash and care according to their own wishes, and the generated historical washing and care data will also be different. These historical washing and care data can reflect the differences and similarities in users' choices, and user information can also reflect the personalized differences between different users.

[0062] S202. Obtain multiple user groups and the group washing and care information and group user portraits corresponding to each user group according to the washing and care information of each user.

[0063] In this step, based on the washing and care information of a large number of users, users with relatively similar washing and care information can be found among them, and these users with relatively similar washing and care information are divided into the same user group. In this way, the massive users corresponding to the massive washing and care information can be divided into individual user groups. Based on the group characteristics of each user group, the group user portrait of this user group can be obtained.

[0064] S203. Generate a washing and care equipment recommendation strategy according to the group washing and care information and group user portraits corresponding to each user group.

[0065] In the above solution, each user group is a group of users with similar behavioral characteristics and preferences. Based on the similar behavioral characteristics and preferences, the washing and care equipment products suitable for this group of users can be determined.

[0066] In the embodiments of the present application, based on the historical washing and care data generated when each user uses the washing and care equipment, users are grouped, and multiple user groups and the group washing and care information corresponding to each user group can be obtained. Then, according to the user information of the users included in each user group, each user group is portrayed, and further the group user portraits corresponding to each user group are obtained. Based on the group washing and care information and group user portraits corresponding to the user group, a washing and care equipment recommendation strategy that meets the needs of this user group can be determined.

[0067] The following combines Figure 3 and specific embodiments to illustrate the implementation process of obtaining multiple user groups and the group washing and care information and group user portraits corresponding to each user group in the washing and care equipment recommendation method of the present application.

[0068] Figure 3 is the flow of a washing and care equipment recommendation method provided by an embodiment of the present application Figure 2 . As Figure 3 shown, the method includes:

[0069] S301. Preset K clustering centers, where K is a positive integer.

[0070] In this step, the K-means clustering algorithm is used to group the users, and each group represents a class of users with similar behavioral characteristics and preferences.

[0071] K-means clustering algorithm, also known as k-means clustering algorithm, is an iterative clustering analysis algorithm. Its steps include: pre-dividing the data into K groups, and then randomly selecting K objects as the initial cluster centers; then calculating the distance between each object and each seed cluster center, and assigning each object to the cluster center closest to it. The cluster centers and the objects assigned to them represent a cluster. For each assigned sample, the cluster center of the cluster is recalculated based on the existing objects in the cluster. This process will be repeated until a certain termination condition is met. The termination condition can be that no (or a minimum number of) objects are reassigned to different clusters, no (or a minimum number of) cluster centers change again, and the sum of squared errors is locally minimized.

[0072] S302: Perform cluster analysis on the historical washing and care data of each user based on K cluster centers to obtain user groups corresponding to similar historical washing and care data and group washing and care information.

[0073] In the above scheme, among the massive amount of historical washing and care data, there will be relatively similar data and data with large differences. By calculating the distance between each historical washing and care data and each cluster center, the massive amount of historical washing and care data can be divided into different clusters. The historical washing and care data in this cluster are highly similar to each other. Based on this, different user groups and the group washing and care information corresponding to each user group can be obtained.

[0074] S303: Obtain a group user portrait corresponding to each user group based on the user information of the users in each user group.

[0075] In this step, the user information can reflect the personalized characteristics of the user, and the user information of all users in the same user group can reflect the group characteristics of the user group. Based on this group characteristic, the group user portrait of the user group can be determined.

[0076] In an embodiment of the present application, cluster analysis is performed on each user based on historical care data, and users with relatively similar historical care data are grouped as a cluster. In this way, multiple clusters can be obtained, and then the user group and group care information corresponding to each cluster can be determined. By profiling the users in each classified user group based on their user information, the group user portrait of the user group can be determined.

[0077] Combine the following Figure 4The implementation process of generating a washing and care device recommendation strategy according to the group washing and care information and group user portraits corresponding to each user group in the washing and care device recommendation method of the present application is described with specific embodiments.

[0078] Figure 4 The flowchart of a washing and care device recommendation method provided by an embodiment of the present application Figure 3 As Figure 4 shown, the method includes:

[0079] S401. Obtain candidate washing and care devices that meet the group washing and care information.

[0080] In the above solution, the group washing and care information is determined based on the historical washing and care data of each user in the user group. The historical washing and care data of each user can reflect the actual washing and care needs of the user. The candidate washing and care devices that can meet the group washing and care information are the washing and care devices that can basically meet the actual washing and care needs of this user group.

[0081] S402. Obtain the device information of the actual washing and care devices currently used by the user group. The device information includes the appearance information and performance information of the washing and care devices; among them, the actual washing and care devices are the washing and care devices with the usage amount of users in the user group greater than the preset amount.

[0082] In this step, in addition to considering the actual washing and care needs of the user group, it is also necessary to consider the actual washing and care devices used by this user group, including the appearance and performance of the devices, etc. The washing and care devices used by users in the same user group cannot be exactly the same. At this time, only the washing and care devices with a larger usage amount in the user group can be considered, based on the washing and care devices with the usage amount greater than the preset amount.

[0083] S403. According to the device information, determine the target washing and care devices that meet the device information among the candidate washing and care devices, and establish a first association relationship between the target washing and care devices and the group user portraits.

[0084] In the above solution, the candidate washing and care devices are the washing and care devices that meet the group washing and care information, while the target washing and care devices are the washing and care devices that are more in line with the actual usage of most users in this user group on this basis. After determining the target washing and care devices suitable for this user group, the target washing and care devices can be associated with the group user portraits of this user group, so as to find the corresponding target washing and care devices according to the group user portraits subsequently.

[0085] In the specific implementation process, when facing a single user with a purchase demand, product recommendations can be made based on this association relationship, without the need to frequently profile a single user as in the prior art. Exemplarily, according to the user information of the current user, determine the group user profile to which the current user belongs; according to the first association relationship, determine the target washing and care device recommended for the current user.

[0086] In the actual application process, in addition to recommending the target washing and care device to the user, the target washing and care program and the target washing and care parameters can also be recommended to the user to improve the user's satisfaction with the recommendation strategy. Similarly, the recommendations of the washing and care program and the washing and care parameters are also based on user groups. Exemplarily, based on the historical washing and care data of the user group, obtain the target washing and care program of the target washing and care device and the target washing and care parameters corresponding to the target washing and care program. The historical washing and care data includes at least one of the operating parameters of the washing and care device, clothing information, the number of times the user uses different washing and care programs, or the washing and care parameters corresponding to each washing and care program; establish a second association relationship between the target washing and care program and the target washing and care parameters corresponding to the target washing and care program and the target washing and care device.

[0087] After recommending the target washing and care device to the current user, if it is detected that the current user accepts the recommended target washing and care device, then according to the second association relationship, recommend the target washing and care program and the target washing and care parameters corresponding to the target washing and care program to the current user.

[0088] In the embodiments of the present application, after determining the candidate washing and care devices that meet the group washing and care information, in combination with the device information of the actual washing and care devices currently used by this user group, screen out the target washing and care devices that meet the device information from the candidate washing and care devices. This target washing and care device is the washing and care device suitable for the users belonging to this user group.

[0089] Combining the above embodiments, the washing and care device recommendation method provided by the embodiments of the present application, through the user information and historical washing and care data of users collected by different washing and care devices, divides all users into groups based on the historical washing and care data to obtain multiple user groups and the group washing and care information corresponding to each group. Then, according to the user information of the users in each user group, profile the user group to obtain the group user profile of the user group. In this way, after obtaining multiple user groups and the group washing and care information and group user profiles corresponding to each user group, the washing and care device products suitable for this group can be matched according to the group characteristics of this user group.

[0090] Figure 5 It is a schematic structural diagram of a washing and care device recommendation device provided by an embodiment of the present invention, as Figure 5As shown, the washing and care equipment recommendation device may include various functional modules for implementing the foregoing washing and care equipment recommendation method, and any functional module may be implemented in software / or hardware.

[0091] For example, the washing and care equipment recommendation device may include: an acquisition module 501, a first processing module 502, and a second processing module 503;

[0092] The acquisition module 501 is configured to acquire the washing and care information of each user collected by the washing and care equipment, where the washing and care information includes user information and historical washing and care data;

[0093] The first processing module 502 is configured to obtain multiple user groups and the group washing and care information and group user portraits corresponding to each user group according to the washing and care information of each user;

[0094] The second processing module 503 is configured to generate a washing and care equipment recommendation strategy according to the group washing and care information and group user portraits corresponding to each user group.

[0095] Optionally, the first processing module 502 may also be configured to group each user based on the historical washing and care data of each user to obtain multiple user groups and the group washing and care information corresponding to each user group; wherein, the historical washing and care data of each user group is similar; according to the user information of the users in each user group, obtain the group user portraits corresponding to each user group respectively.

[0096] Optionally, the first processing module 502 may specifically be configured to: preset K clustering centers, where K is a positive integer; perform clustering analysis on the historical washing and care data of each user based on the K clustering centers to obtain the user groups corresponding to the similar historical washing and care data and the group washing and care information.

[0097] Optionally, the second processing module 503 may also be configured to obtain candidate washing and care equipment that meets the group washing and care information; obtain the equipment information of the actual washing and care equipment currently used by the user group, where the equipment information includes the appearance information and performance information of the washing and care equipment; wherein, the actual washing and care equipment is the washing and care equipment with a usage amount greater than the preset amount by the users in the user group; according to the equipment information, determine the target washing and care equipment that meets the equipment information among the candidate washing and care equipment, and establish a first association relationship between the target washing and care equipment and the group user portrait.

[0098] Optionally, the second processing module 503 may specifically be configured to: determine the group user portrait to which the current user belongs according to the user information of the current user; determine the target washing and care equipment recommended to the current user according to the first association relationship.

[0099] Optionally, the second processing module 503 may also be configured to obtain a target washing and care program of the target washing and care device and target washing and care parameters corresponding to the target washing and care program based on historical washing and care data of a user group, where the historical washing and care data includes at least one of operating parameters of the washing and care device, clothing information, the number of times a user uses different washing and care programs, or washing and care parameters corresponding to each washing and care program; and establish a second association relationship between the target washing and care program and the target washing and care parameters corresponding to the target washing and care program and the target washing and care device.

[0100] Optionally, the second processing module 503 may specifically be configured to: if it is detected that the current user accepts the recommended target washing and care device, recommend a target washing and care program and target washing and care parameters corresponding to the target washing and care program to the current user according to the second association relationship.

[0101] The washing and care device recommendation apparatus is used to execute the technical solutions provided in the foregoing embodiments of the washing and care device recommendation method. The implementation principle and technical effects are similar to those in the foregoing method embodiments, and will not be elaborated herein.

[0102] This application further provides a washing and care device recommendation device, including: at least one processor and a memory;

[0103] The memory stores computer-executable instructions;

[0104] At least one processor executes the computer-executable instructions stored in the memory, so that at least one processor executes the washing and care device recommendation method.

[0105] Figure 6 FIG. is a hardware schematic diagram of the washing and care device recommendation device provided in an embodiment of the present invention. As Figure 6 shown, the washing and care device recommendation device 60 provided in this embodiment includes: at least one processor 601 and a memory 602. The device 60 further includes a communication component 603. Among them, the processor 601, the memory 602, and the communication component 603 are connected through a bus 604.

[0106] In a specific implementation process, at least one processor 601 executes the computer-executable instructions stored in the memory 602, so that at least one processor 601 executes the above-mentioned washing and care device recommendation method.

[0107] The specific implementation process of the processor 601 may refer to the foregoing method embodiments. The implementation principle and technical effects are similar, and will not be elaborated herein in this embodiment.

[0108] In the above Figure 6In the illustrated embodiments, it should be understood that the processor may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the invention may be directly embodied as being executed and completed by a hardware processor, or may be executed and completed by a combination of hardware and software modules in the processor.

[0109] The memory may include random access memory (RAM), and may also include non-volatile memory (NVM), such as at least one disk memory.

[0110] The bus may be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience in representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0111] The present application also provides a computer-readable storage medium storing computer-executable instructions, and when the processor executes the computer-executable instructions, the above-mentioned method for recommending a washing and care device is implemented.

[0112] For the above-mentioned computer-readable storage medium, the above-readable storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, a magnetic disk or an optical disc. The readable storage medium may be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0113] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium can also exist as discrete components in a device.

[0114] The division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Additionally, the couplings or direct couplings or communication connections shown or discussed among each other can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0115] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0116] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0117] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or a part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical discs, etc.

[0118] Those of ordinary skill in the art will understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments; and the foregoing storage medium includes: various media such as ROM, RAM, magnetic disk, or optical disk that can store program codes.

[0119] So far, the technical solutions of the present application have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments. The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for recommending a washing and care device, characterized in that, Including: Obtain the washing and care information of each user collected by the washing and care device, where the washing and care information includes user information and historical washing and care data; Based on the washing and care information of each user, obtain multiple user groups and the group washing and care information and group user portraits corresponding to each user group; Generate a washing and care device recommendation strategy according to the group washing and care information and group user portraits corresponding to each user group.

2. The method according to claim 1, characterized in that, The obtaining multiple user groups and the group washing and care information and group user portraits corresponding to each user group according to the washing and care information of each user includes: Based on the historical washing and care data of each user, cluster each user to obtain multiple user groups and the group washing and care information corresponding to each user group; wherein, the historical washing and care data of each user group is similar; According to the user information of the users in each user group, obtain the group user portraits corresponding to each user group respectively.

3. The method according to claim 2, characterized in that, The clustering each user based on the historical washing and care data of each user to obtain multiple user groups and the group washing and care information corresponding to each user group includes: Preset K clustering centers, where K is a positive integer; Perform clustering analysis on the historical washing and care data of each user based on the K clustering centers to obtain the user groups corresponding to the similar historical washing and care data and the group washing and care information.

4. The method according to claim 3, characterized in that, The generating a washing and care device recommendation strategy according to the group washing and care information and group user portraits corresponding to each user group includes: Obtain candidate washing and care devices that meet the group washing and care information; Obtain the device information of the actual washing and care device currently used by the user group, where the device information includes the appearance information and performance information of the washing and care device; wherein, the actual washing and care device is the washing and care device with a usage amount greater than a preset amount among the users in the user group; According to the device information, determine the target washing and care device that meets the device information among the candidate washing and care devices, and establish a first association relationship between the target washing and care device and the group user portrait.

5. The method according to claim 4, characterized in that, After the generating a washing and care device recommendation strategy according to the group washing and care information and group user portraits corresponding to each user group, the method further includes: Determine the group user portrait to which the current user belongs according to the user information of the current user; Determine the target washing and care device recommended to the current user according to the first association relationship.

6. The method according to claim 5, characterized in that, The method further includes: Based on the historical washing and care data of the user group, obtain the target washing and care program of the target washing and care device and the target washing and care parameters corresponding to the target washing and care program, where the historical washing and care data includes at least one of the operating parameters of the washing and care device, clothing information, the number of times the user uses different washing and care programs, or the washing and care parameters corresponding to each washing and care program; Establish a second association relationship between the target washing and care program and the target washing and care parameters corresponding to the target washing and care program and the target washing and care device.

7. The method according to claim 6, characterized in that, The method further includes: If it is detected that the current user accepts the recommended target washing and care device, then recommend the target washing and care program and the target washing and care parameters corresponding to the target washing and care program to the current user according to the second association relationship.

8. A device for recommending a washing and care device, characterized in that, Including: An acquisition module, configured to acquire the washing and care information of each user collected by a washing and care device, where the washing and care information includes user information and historical washing and care data; A first processing module, configured to obtain multiple user groups and the corresponding group washing and care information and group user portraits for each user group according to the washing and care information of each user; A second processing module, configured to generate a washing and care device recommendation strategy according to the group washing and care information and group user portraits corresponding to each user group.

9. A device for recommending a washing and care device, characterized in that, Comprising: At least one processor and a memory; The memory stores computer execution instructions; The at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the washing and care device recommendation method according to any one of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored, characterized in that, When the computer program is executed by a processor, the steps of the washing and care device recommendation method according to any one of claims 1 to 7 are implemented.