Clothes airing machine recommendation method and device and storage medium

Abstract

The invention provides a clothes airing machine recommendation method and device and a storage medium. The method comprises the steps that a site image of a to-be-installed site uploaded by terminal equipment is received; performing site feature recognition on the site image to obtain site size features and site environment features of the to-be-installed site; screening clothes drying machines according to the site size characteristics and the site environment characteristics to obtain a plurality of target clothes drying machines conforming to the site size characteristics and the site environment characteristics; generating a clothes airing machine recommendation interface corresponding to the plurality of types of target clothes airing machines; and issuing the clothes airing machine recommendation interface to the terminal equipment. According to the method, the user can conveniently and directly browse a plurality of target clothes drying machines according with the site size characteristics and the site environment characteristics of the to-be-installed site from the clothes drying machine recommendation interface, the content needing to be considered when the user selects and purchases the clothes drying machines is reduced, the user can rapidly select and purchase the appropriate clothes drying machines, and the convenience and efficiency of clothes drying machine selection and purchase are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of clothes drying product recommendation, and in particular to a clothes drying machine recommendation method, device and storage medium. BACKGROUND

[0002] Household products are various types of articles that meet people's living environment needs, for example, clothes drying machines are household products that meet the needs of users to improve clothes drying efficiency. However, in the prior art, the interface of an online introduction platform or a sales platform of clothes drying machines can only show the parameter performance of the clothes drying machines, and the user needs to consider the selection and purchase of the clothes drying machines based on the parameter performance of the clothes drying machines, which increases the time consumption of the user in selecting and purchasing the clothes drying machines. Therefore, the existing online introduction platform or sales platform of clothes drying machines has the technical defects of poor convenience and low efficiency in selecting and purchasing clothes drying machines. SUMMARY

[0003] The present application aims to overcome the shortcomings and deficiencies in the prior art, and provides a clothes drying machine recommendation method, device and storage medium, which can improve the convenience of selecting and purchasing clothes drying machines.

[0004] The first aspect of the present application provides a clothes drying machine recommendation method, comprising:

[0005] receiving a site image of a to-be-installed site uploaded by a terminal device;

[0006] performing site feature recognition on the site image to obtain site size features and site environment features of the to-be-installed site;

[0007] screening clothes drying machines according to the site size features and the site environment features to obtain a plurality of target clothes drying machines that meet the site size features and the site environment features;

[0008] generating a clothes drying machine recommendation interface corresponding to the plurality of target clothes drying machines;

[0009] issuing the clothes drying machine recommendation interface to the terminal device.

[0010] Compared with the prior art, the present application performs site feature recognition on a site image of a to-be-installed site uploaded by a terminal device to obtain site size features and site environment features of the to-be-installed site, then screens a plurality of target clothes drying machines according to the site size features and the site environment features to generate a clothes drying machine recommendation interface corresponding to the plurality of target clothes drying machines and issue it to the terminal device, so that the terminal device displays the clothes drying machine recommendation interface, which facilitates the user to directly browse the plurality of target clothes drying machines that meet the site size features and the site environment features of the to-be-installed site from the clothes drying machine recommendation interface, reduces the content that needs to be considered by the user when selecting and purchasing clothes drying machines, is conducive to the user to quickly select and purchase suitable clothes drying machines, and improves the convenience and efficiency of selecting and purchasing clothes drying machines.

[0011] As an implementation form, the step of performing site feature recognition on the site image to obtain site size features and site environment features of the site to be installed includes:

[0012] Performing reference device recognition on the site image to obtain a reference device in the site image;

[0013] Obtaining reference size information of the reference device;

[0014] Inputting the site image and the reference size information into a site size recognition model to obtain the site size features; wherein the site size recognition model is obtained by training according to first site image samples labeled with reference size information and site size features;

[0015] Inputting the site image into a site environment recognition model to obtain the site environment features; wherein the site environment recognition model is obtained by training according to second site image samples labeled with environment features.

[0016] In the embodiment, the site size features are recognized by the site size recognition model, and the site environment features are recognized by the site environment recognition model, so that the site size features and the site environment features can be accurately obtained.

[0017] As an implementation form, the step of obtaining the reference size information of the reference device includes:

[0018] Obtaining a brand and model of the reference device;

[0019] Obtaining reference size information corresponding to the brand and model from a pre-stored correspondence between brands and models and reference size information, and if the obtaining fails, searching the reference size information corresponding to the brand and model from the Internet.

[0020] In the embodiment, the reference size information corresponding to the brand and model of the reference device is obtained by searching the correspondence between brands and models and reference size information, or by searching the Internet, so that the size of the reference device in the site image can be accurately obtained.

[0021] As an implementation form, the step of screening the clothes drying machine according to the site size features and the site environment features to obtain a plurality of target clothes drying machines conforming to the site size features and the site environment features includes:

[0022] Screening pre-stored clothes drying machine sizes according to the site size to obtain a plurality of first candidate clothes drying machines with sizes smaller than the site size;

[0023] According to a preset corresponding relationship between a site environment feature and a clothes drying machine function, a target clothes drying machine function corresponding to the site environment feature is obtained, and a plurality of second candidate clothes drying machines having the target clothes drying machine function are obtained;

[0024] According to an intersection of the plurality of first candidate clothes drying machines and the plurality of second candidate clothes drying machines, the plurality of target clothes drying machines are obtained.

[0025] In the embodiment, the size screening is performed according to the site size, and the clothes drying machine function screening is performed according to the site environment feature, so that the plurality of target clothes drying machines that meet the site to be installed in terms of size and clothes drying machine function can be accurately obtained.

[0026] As an implementation manner, the step of generating the clothes drying machine recommendation interface corresponding to the plurality of target clothes drying machines comprises:

[0027] According to product information of the plurality of target clothes drying machines, a plurality of clothes drying machine individual recommendation options are generated;

[0028] A site model is constructed according to the site size feature;

[0029] The site model and the plurality of target clothes drying machines are input into a trained clothes drying machine combination layout network model to obtain a plurality of clothes drying machine combinations and corresponding combination layout diagrams; the clothes drying machine combination comprises at least two clothes drying machines in the plurality of target clothes drying machines, and the combination layout diagram is a distribution setting diagram of the clothes drying machines included in the clothes drying machine combination in the site model.

[0030] According to the plurality of clothes drying machine combinations, the corresponding combination layout diagrams, and the product information of the target clothes drying machines included in the plurality of clothes drying machine combinations, a plurality of clothes drying machine combination recommendation options are generated.

[0031] According to the plurality of clothes drying machine individual recommendation options and the plurality of clothes drying machine combination recommendation options, the clothes drying machine recommendation interface is generated.

[0032] In the implementation manner, the site model constructed according to the site size feature and the plurality of target clothes drying machines are input into the clothes drying machine combination layout network model, so that the clothes drying machine recommendation interface comprising the plurality of clothes drying machine combinations and the corresponding combination layout diagrams is generated, and the user can conveniently select and purchase the clothes drying machine combination.

[0033] As an implementation manner, the clothes drying machine combination layout network model is trained by the following steps:

[0034] A plurality of clothes drying machine combination training samples are obtained; the clothes drying machine combination training sample comprises a site model sample and a clothes drying machine combination sample;

[0035] inputting the plurality of combined clothes drying machine training samples into an initial policy network model to obtain a plurality of combined layout pattern samples output by the initial policy network model;

[0036] obtaining sample rewards of the plurality of combined layout pattern samples; wherein if the layout of the combined layout pattern sample is normal, the corresponding sample reward is positive, and if the layout of the combined layout pattern sample is abnormal, the corresponding sample reward is negative;

[0037] adjusting model parameters of the initial policy network model according to the sample rewards of the plurality of combined layout pattern samples to obtain the clothes drying machine combined layout network model.

[0038] In the embodiment, after obtaining the plurality of combined layout pattern samples output by the initial policy network model, the model parameters of the initial policy network model are adjusted according to the sample rewards of the plurality of combined layout pattern samples, and the clothes drying machine combined layout network model outputting a combined layout pattern with normal layout can be trained.

[0039] As an implementation form, the clothes drying machine recommendation interface includes an individual recommendation page and a combined recommendation page.

[0040] The step of issuing the clothes drying machine recommendation interface to the terminal device includes:

[0041] issuing the individual recommendation page to the terminal device to enable the terminal device to display the individual recommendation page;

[0042] In response to a combined recommendation request uploaded by the terminal device, the combined recommendation page is issued to the terminal device to enable the terminal device to display the combined recommendation page.

[0043] In the embodiment, after the individual recommendation page is issued to the terminal device, the combined recommendation page can be issued to the terminal device according to the combined recommendation request uploaded by the terminal device, so that the user can conveniently view the individual recommendation page and the combined recommendation page through the terminal device.

[0044] As an implementation form, the clothes drying machine recommendation interface includes a comparison list display area.

[0045] The step of generating the clothes drying machine recommendation interface corresponding to the plurality of target clothes drying machines includes:

[0046] An initial comparison list is obtained, and the initial comparison list includes a plurality of comparison attribute items, and the plurality of comparison attribute items include but are not limited to size attribute, function attribute, price attribute and drying amount attribute.

[0047] According to the correspondence between the clothes drying machine data of the several target clothes drying machines and the several comparison attribute items, the clothes drying machine data of the several target clothes drying machines is filled into the initial comparison list to obtain a recommended comparison list displayed in the comparison list display area.

[0048] In the embodiment, when the user browses the clothes drying machine recommendation interface, the comparison of the clothes drying machine data of the several target clothes drying machines can be directly understood through the recommended comparison list displayed in the comparison list display area, and the user can more intuitively understand the differences between the several target clothes drying machines.

[0049] A second aspect of the embodiment of the application provides a clothes drying machine recommendation device, which comprises:

[0050] a site image acquisition module configured to receive a site image of a site to be installed uploaded by a terminal device;

[0051] a site feature recognition module configured to perform site feature recognition on the site image to obtain site size features and site environment features of the site to be installed;

[0052] a screening module configured to screen clothes drying machines according to the site size features and the site environment features to obtain several target clothes drying machines meeting the site size features and the site environment features;

[0053] a recommendation interface generation module configured to generate a clothes drying machine recommendation interface corresponding to the several target clothes drying machines;

[0054] a recommendation interface issuing module configured to issue the clothes drying machine recommendation interface to the terminal device.

[0055] Compared with the prior art, the site feature recognition is performed on the site image of the site to be installed uploaded by the terminal device to obtain the site size features and the site environment features of the site to be installed, and then the several target clothes drying machines are screened according to the site size features and the site environment features to generate the clothes drying machine recommendation interface corresponding to the several target clothes drying machines and issue the clothes drying machine recommendation interface to the terminal device, so that the terminal device displays the clothes drying machine recommendation interface, the user can directly browse the several target clothes drying machines meeting the site size features and the site environment features of the site to be installed from the clothes drying machine recommendation interface, the content that needs to be considered by the user when selecting and purchasing the clothes drying machine is reduced, the user can quickly select and purchase the suitable clothes drying machine, and the convenience and efficiency of the selection and purchase of the clothes drying machine are improved.

[0056] A third aspect of the embodiment of the application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the clothes drying machine recommendation method.

[0057] A fourth aspect of the embodiments of the present application provides a computer device, comprising a storage, a processor, and a computer program stored in the storage and executable by the processor, wherein the processor implements the steps of the clothes drying machine recommendation method when executing the computer program.

[0058] In order to more clearly understand the present application, the specific embodiments of the present application will be described below with reference to the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0059] Figure 1 Flowchart of a clothes drying machine recommendation method according to an embodiment of the present application.

[0060] Figure 2 Flowchart of acquiring a plurality of target clothes drying machines according to a clothes drying machine recommendation method of an embodiment of the present application.

[0061] Figure 3 Module connection diagram of a clothes drying machine recommendation device according to an embodiment of the present application.

[0062] 200, clothes drying machine recommendation device; 201, site image acquisition module; 202, site feature recognition module; 203, screening module; 204, recommendation interface generation module; 205, recommendation interface issuing module. DETAILED DESCRIPTION

[0063] In order to make the objects, technical solutions and advantages of the present application clearer, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0064] It should be clear that the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present application.

[0065] In the following description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and do not necessarily describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances. The singular forms "a", "an" and "the" used in the present application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. The word "if" used herein can be interpreted as "when" or "when" or "in response to determining".

[0066] In addition, in the description of the present application, "a plurality of" means two or more, unless otherwise specified. The association relationship of "and / or" describes the associated objects, which means that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist together, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after it.

[0067] Please refer to Figure 1 , which is a flowchart of the clothes drying machine recommendation method of the first embodiment of the present application. The clothes drying machine recommendation method can run on a cloud server, and the method comprises:

[0068] S1: receiving a site image of a to-be-installed site uploaded by a terminal device.

[0069] Among them, the terminal device refers to an electronic device with display function and network communication function, such as smart phone, smart tablet, computer, etc. The to-be-installed site refers to the site where the user wants to install the clothes drying machine, such as balcony, roof, etc.

[0070] The site image refers to the image of the to-be-installed site taken in real time or pre-stored in the terminal device.

[0071] S2: performing site feature recognition on the site image to obtain site size features and site environment features of the to-be-installed site.

[0072] Among them, the site size features are the spatial dimensions of the to-be-installed site, such as the length, width and height of the to-be-installed site. If the length and width dimensions of the floor of the to-be-installed site are different from the length and width dimensions of the ceiling, both the length and width dimensions of the floor and the length and width dimensions of the ceiling are taken as the site size features, so as to more accurately reflect the spatial dimension information of the to-be-installed site through the site size features.

[0073] The site environment features are the information features of the to-be-installed site other than the spatial dimensions. Taking the balcony as an example, the illumination information of the balcony, whether the balcony is equipped with a lighting lamp, whether the balcony is provided with a protective fence, etc. all belong to the site environment features of the to-be-installed site.

[0074] S3: screening clothes drying machines according to the site size features and the site environment features to obtain a plurality of target clothes drying machines meeting the site size features and the site environment features.

[0075] The site size feature refers to that the space size occupied by the target clothes drying machine in a normal use state is less than the site size feature. For example, the length and width of the main machine of the target clothes drying machine need to be less than the length and width of the ceiling of the installation site, so as to ensure that the main machine of the clothes drying machine can be installed on the ceiling of the installation site. The sum of the height of the lifting drying rod of the target clothes drying machine and the reference drying height set by the manufacturer needs to be less than the height of the installation site, so as to ensure that the clothes drying in the process of lifting the drying rod of the target clothes drying machine can keep a distance from the ground of the installation site and is not affected by the dust on the ground of the installation site. The length and width of the drying rod of the target clothes drying machine also need to be less than the length and width of the installation site, so as to ensure that the drying rod will not be scratched by the wall of the installation site in the process of lifting the drying rod of the target clothes drying machine.

[0076] The site environment feature refers to that the function of the target clothes drying machine can solve the problem corresponding to the site environment feature. For example, the function of the target clothes drying machine corresponds to the site environment feature. Specifically, the corresponding clothes drying machine function of the site environment feature can be obtained according to the preset corresponding relationship between the site environment feature and the clothes drying machine function, so as to filter the target clothes drying machine that meets the site environment feature. Taking a balcony as an example, the site environment feature indicates that the balcony has poor lighting, and the target clothes drying machine that meets the site environment feature is a clothes drying machine with drying function or air drying function. The site environment feature indicates that the balcony is not equipped with a lighting lamp, and the target clothes drying machine that meets the site environment feature is a clothes drying machine with lighting function. The site environment feature indicates that the balcony is not equipped with a protective fence, and the target clothes drying machine that meets the site environment feature is a clothes drying machine with weak wind drying function or air drying function, or without drying function or air drying function.

[0077] S4: generating a clothes drying machine recommendation interface corresponding to the target clothes drying machines.

[0078] The clothes drying machine recommendation interface is an interface for displaying the target clothes drying machines. The clothes drying machine recommendation interface can display the target clothes drying machines in various display forms such as a list form and a thumbnail form.

[0079] S5: issuing the clothes drying machine recommendation interface to the terminal device.

[0080] Compared with the prior art, the application performs site feature recognition on a site image of a to-be-installed site uploaded by a terminal device, obtains site size features and site environment features of the to-be-installed site, then screens a plurality of target clothes drying machines according to the site size features and the site environment features, generates a clothes drying machine recommendation interface corresponding to the plurality of target clothes drying machines, and sends the clothes drying machine recommendation interface to the terminal device, so that the terminal device displays the clothes drying machine recommendation interface, facilitating a user to directly browse the plurality of target clothes drying machines that meet the site size features and the site environment features of the to-be-installed site from the clothes drying machine recommendation interface, reducing the content that needs to be considered by the user when selecting and purchasing a clothes drying machine, and being beneficial to the user to quickly select and purchase a suitable clothes drying machine, thereby improving the convenience and efficiency of clothes drying machine selection and purchase.

[0081] In a feasible embodiment, the step of S2: performing site feature recognition on the site image to obtain site size features and site environment features of the to-be-installed site, comprises:

[0082] S21: performing reference device recognition on the site image to obtain a reference device in the site image.

[0083] The reference device recognition on the site image can be obtained by a trained device recognition model, and the device recognition model can be used to recognize the reference device of the to-be-installed site. For example, a washing machine installed on a balcony is a reference device that can be recognized by the device recognition model. The device recognition model can further improve the device type of the reference device that can be recognized and the recognition accuracy by further learning.

[0084] S22: obtaining reference size information of the reference device.

[0085] The reference size information is the size of the reference device, such as the length, width and height of the reference device. After the reference device is recognized, the reference size information can be directly obtained according to the size information written on the reference device, or the corresponding reference size information can be found according to the model written on the reference device.

[0086] S23: inputting the site image and the reference size information into a site size recognition model to obtain the site size features; wherein the site size recognition model is trained according to a first site image sample with reference size information and site size features.

[0087] The site size recognition model is used to recognize the site size features according to the reference size information of the reference device in the site image and the proportion of the site background of the site image.

[0088] S24: inputting the site image into a site environment recognition model to obtain the site environment feature; wherein the site environment recognition model is trained according to second site image samples marked with environment features.

[0089] In the embodiment, the site size feature is recognized by the site size recognition model, and the site environment feature is recognized by the site environment recognition model, so that the site size feature and the site environment feature can be accurately obtained.

[0090] In a feasible embodiment, the S22: obtaining the reference size information of the reference device, comprises:

[0091] S221: obtaining the brand and model of the reference device.

[0092] The brand and model of the reference device can be directly obtained according to the brand information and model information recorded on the reference device, or the reference device part in the site image can be screenshot and uploaded to the Internet to obtain the corresponding brand and model.

[0093] S222: obtaining the reference size information corresponding to the brand and model from the pre-stored correspondence between the brand and model and the reference size information, and if the obtaining fails, searching the Internet for the reference size information corresponding to the brand and model.

[0094] The pre-stored correspondence between the brand and model and the reference size information is stored in the database by the manufacturer, including the brand and model manufactured or supplied by the manufacturer and the corresponding reference size information, and the brand and model widely used or purchased on the market and the corresponding reference size information. The reference size information corresponding to the brand and model searched from the Internet can also be stored in the database to enrich the data amount of the correspondence between the brand and model and the reference size information.

[0095] In the embodiment, the reference size information corresponding to the brand and model of the reference device is obtained by searching the correspondence between the brand and model and the reference size information, or by searching the Internet, so that the size of the reference device in the site image can be accurately obtained.

[0096] Please refer to Figure 2 In a feasible embodiment, the S3: screening the clothes drying machine according to the site size feature and the site environment feature to obtain a plurality of target clothes drying machines meeting the site size feature and the site environment feature, comprises:

[0097] S31: screening the pre-stored clothes drying machine size according to the site size to obtain a plurality of first candidate clothes drying machines with the clothes drying machine size smaller than the site size.

[0098] S32: Obtain, according to a preset corresponding relationship between the site environment feature and the clothes drying machine function, a target clothes drying machine function corresponding to the site environment feature, and a plurality of second candidate clothes drying machines having the target clothes drying machine function.

[0099] S33: Obtain the plurality of target clothes drying machines according to an intersection of the plurality of first candidate clothes drying machines and the plurality of second candidate clothes drying machines.

[0100] In other possible embodiments, the plurality of first candidate clothes drying machines having a clothes drying machine size smaller than the site size can be obtained by screening the pre-stored clothes drying machine sizes according to the site size, and then the plurality of second candidate clothes drying machines meeting the target clothes drying machine function corresponding to the site environment feature can be obtained from the plurality of first candidate clothes drying machines according to a preset corresponding relationship between the site environment feature and the clothes drying machine function, so as to be used as the target clothes drying machines.

[0101] In other possible embodiments, the plurality of first candidate clothes drying machines having a clothes drying machine size smaller than the site size can be obtained by screening the pre-stored clothes drying machine sizes according to the site size, and then the plurality of second candidate clothes drying machines meeting the target clothes drying machine function corresponding to the site environment feature can be obtained from the plurality of first candidate clothes drying machines according to a preset corresponding relationship between the site environment feature and the clothes drying machine function, so as to be used as the target clothes drying machines.

[0102] In the present embodiment, the clothes drying machine size is screened according to the site size, and the clothes drying machine function is screened according to the site environment feature, so that the plurality of target clothes drying machines meeting both the clothes drying machine size and the clothes drying machine function of the site to be installed can be accurately obtained.

[0103] In a possible embodiment, the step S4 of generating the clothes drying machine recommendation interface corresponding to the plurality of target clothes drying machines comprises:

[0104] S41: Generate a plurality of clothes drying machine individual recommendation options according to product information of the plurality of target clothes drying machines.

[0105] Each clothes drying machine individual recommendation option corresponds to a target clothes drying machine, and each clothes drying machine individual recommendation option includes a brand and model, parameters, a picture and a purchase link of the corresponding target clothes drying machine.

[0106] S42: Construct a site model according to the site size feature.

[0107] After obtaining the site size feature of the site to be installed, a site model of the site to be installed can be simply constructed based on the site size feature, so as to be used as a reference for the clothes drying machine layout.

[0108] S43: input the site model and the plurality of target clothes drying machines into a trained clothes drying machine combination layout network model to obtain a plurality of clothes drying machine combinations and corresponding combination layout diagrams; the clothes drying machine combination includes at least two clothes drying machines in the plurality of target clothes drying machines, and the combination layout diagram is a distribution setting diagram of the clothes drying machines included in the clothes drying machine combination in the site model.

[0109] The clothes drying machine combination layout network model is used to simulate the combination layout of a plurality of target clothes drying machines according to the site model, so as to obtain a plurality of clothes drying machine combinations that can be laid out in the site model and corresponding combination layout diagrams. The clothes drying machine combination obtained according to the clothes drying machine combination layout network model can be a recommended combination including two or more clothes drying machines of the same model, or a recommended combination including two or more clothes drying machines of different models.

[0110] S44: generating a plurality of clothes drying machine combination recommendation options according to the plurality of clothes drying machine combinations, the corresponding combination layout diagrams, and product information of the target clothes drying machines included in the plurality of clothes drying machine combinations.

[0111] Each clothes drying machine combination recommendation option corresponds to a clothes drying machine combination, and each clothes drying machine combination recommendation option includes the corresponding clothes drying machine combination, the combination layout diagram of the clothes drying machine combination, and product information and a purchase link of the target clothes drying machines included in the clothes drying machine combination.

[0112] S45: generating the clothes drying machine recommendation interface according to the plurality of clothes drying machine individual recommendation options and the plurality of clothes drying machine combination recommendation options.

[0113] The clothes drying machine individual recommendation options and the clothes drying machine combination recommendation options can be displayed simultaneously in the clothes drying machine recommendation interface, or can be displayed respectively in the clothes drying machine recommendation interface. When the clothes drying machine individual recommendation options and the clothes drying machine combination recommendation options are displayed respectively in the clothes drying machine recommendation interface, the clothes drying machine recommendation interface can display the plurality of clothes drying machine individual recommendation options or the plurality of clothes drying machine combination recommendation options alone by switching the displayed function options.

[0114] In this embodiment, the site model constructed according to the site size characteristics and the plurality of target clothes drying machines are input into the clothes drying machine combination layout network model to obtain a clothes drying machine recommendation interface including a plurality of clothes drying machine combinations and corresponding combination layout diagrams, thereby facilitating the selection and purchase of clothes drying machine combinations by users.

[0115] In a feasible embodiment, the clothes drying machine combination layout network model is obtained by the following steps:

[0116] Obtain a plurality of clothes drying machine combination training samples; the clothes drying machine combination training samples include a site model sample and a clothes drying machine combination sample;

[0117] Input the plurality of clothes drying machine combination training samples into an initial strategy network model to obtain a plurality of combination layout graph samples output by the initial strategy network model;

[0118] Obtain sample rewards of the plurality of combination layout graph samples; wherein if the layout of the combination layout graph sample is normal, the corresponding sample reward is positive, and if the layout of the combination layout graph sample is abnormal, the corresponding sample reward is negative;

[0119] Adjust model parameters of the initial strategy network model according to the sample rewards of the plurality of combination layout graph samples to obtain the clothes drying machine combination layout network model.

[0120] The abnormal layout of the combination layout graph sample refers to a situation that cannot be normally laid out and installed in reality, such as position overlap, intersection of the boundary of the clothes drying machine sample and the site model sample, and the like.

[0121] In this embodiment, after obtaining the plurality of combination layout graph samples output by the initial strategy network model, the model parameters of the initial strategy network model are adjusted according to the sample rewards of the plurality of combination layout graph samples, and the clothes drying machine combination layout network model outputting a combination layout graph with normal layout can be trained.

[0122] In a feasible embodiment, the clothes drying machine recommendation interface includes an individual recommendation page and a combination recommendation page.

[0123] The S5: the step of issuing the clothes drying machine recommendation interface to the terminal device includes:

[0124] S51: issuing the individual recommendation page to the terminal device, so that the terminal device displays the individual recommendation page.

[0125] Based on the purchase cost of the user and the site size of most of the to-be-installed sites, only one clothes drying machine needs to be installed in most cases, and therefore, the individual recommendation page is issued to the terminal device by default, so as to facilitate the user to directly browse the individual recommendation page for recommendation of a clothes drying machine single product.

[0126] S52: in response to a combination recommendation request uploaded by the terminal device, issuing the combination recommendation page to the terminal device, so that the terminal device displays the combination recommendation page.

[0127] When the user needs to browse the clothes drying machine combination recommended by the combination recommendation page, the combination recommendation request uploaded by the terminal device can be used to make the terminal device receive the combination recommendation page and display it.

[0128] In the embodiment, after the individual recommendation page is issued to the terminal device, a combined recommendation page can be issued to the terminal device according to a combined recommendation request uploaded by the terminal device, so that the user can view the individual recommendation page and the combined recommendation page through the terminal device.

[0129] In an available embodiment, the clothes drying machine recommendation interface comprises a comparison list display area.

[0130] The step S4 of generating the clothes drying machine recommendation interface corresponding to the plurality of target clothes drying machines comprises:

[0131] S401: Obtain an initial comparison list, wherein the initial comparison list comprises a plurality of comparison attribute items, and the plurality of comparison attribute items comprise, but are not limited to, a size attribute, a function attribute, a price attribute, and a drying amount attribute.

[0132] The size attribute is used to record the size of each target clothes drying machine; the function attribute is used to record the functions possessed by each target clothes drying machine; the price attribute is used to record the price and purchase link information of each purchase link corresponding to each target clothes drying machine; and the drying amount attribute is used to record the maximum total amount of drying clothes and the maximum total weight of drying clothes that can be borne by each target clothes drying machine.

[0133] S402: Fill the clothes drying machine data of the plurality of target clothes drying machines into the initial comparison list according to the correspondence between the clothes drying machine data of the plurality of target clothes drying machines and the plurality of comparison attribute items, to obtain a recommendation comparison list displayed in the comparison list display area.

[0134] In the embodiment, when the user browses the clothes drying machine recommendation interface, the user can directly understand the comparison of the clothes drying machine data of the plurality of target clothes drying machines through the recommendation comparison list displayed in the comparison list display area, so that the user can more intuitively understand the differences between the plurality of target clothes drying machines.

[0135] Please refer to Figure 3 The second embodiment of the present application provides a clothes drying machine recommendation device 200, comprising:

[0136] A site image acquisition module 201 is configured to receive a site image of a to-be-installed site uploaded by a terminal device.

[0137] A site feature recognition module 202 is configured to perform site feature recognition on the site image, to obtain site size features and site environment features of the to-be-installed site.

[0138] The screening module 203 is configured to screen the clothes drying machine according to the site size feature and the site environment feature, to obtain a plurality of target clothes drying machines meeting the site size feature and the site environment feature.

[0139] The recommendation interface generation module 204 is configured to generate a clothes drying machine recommendation interface corresponding to the plurality of target clothes drying machines.

[0140] The recommendation interface issuing module 205 is configured to issue the clothes drying machine recommendation interface to the terminal device.

[0141] It should be noted that the clothes drying machine recommendation apparatus 200 provided by the second embodiment of the present application is only used as an example to illustrate the division of the above functional modules when the clothes drying machine recommendation method is executed, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the clothes drying machine recommendation apparatus 200 provided by the second embodiment of the present application and the clothes drying machine recommendation method of the first embodiment of the present application belong to the same concept, and the implementation process is described in detail in the method embodiment, which will not be repeated here.

[0142] The third embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the steps of the clothes drying machine recommendation method described above.

[0143] The fourth embodiment of the present application provides a computer device, which includes a storage, a processor, and a computer program stored in the storage and executable by the processor, and the processor executes the computer program to realize the steps of the clothes drying machine recommendation method described above.

[0144] The device embodiments described above are only schematic, wherein the components illustrated as separate components can or can not be physically separate, and the components illustrated as units can or can not be physical units, that is, they can be located in one place, or distributed on multiple network units. According to actual needs, part or all of the modules can be selected to achieve the purpose of the present application. Those skilled in the art can understand and implement it without creative labor.

[0145] Those skilled in the art will appreciate that embodiments of the application can be readily used as software, hardware, or a combination of software and hardware. In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0146] The present application is described in reference to the flowchart illustrations and / or block diagrams according to embodiments of the application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processing system, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions of a flow or multiple flows and / or blocks Figure 1 one or more functions of a flow or multiple flows and / or blocks Figure 1 one or more functions of a flow or multiple flows and / or blocks Figure 1 one or more functions of a flow or multiple flows and / or blocks

[0147] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions of a flow or multiple flows and / or blocks Figure 1 one or more functions of a flow or multiple flows and / or blocks

[0148] In one typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0149] The memory can include non-persistent memory and / or volatile memory, such as a random access memory (RAM) including a cache area for the temporary storage of data. The memory can also include non-volatile memory, such as a read only memory (ROM), EPROM, EEPROM, flash memory, or other non-volatile memory storage. The memory can be another type of computer-readable media, a magnetic-based tape, a flash memory, or other nonvolatile storage device(s). The memory can be a memory to a processor, or an external storage, such as disk drives, optical storage media like CD-ROMs, DVDs, or the like.

[0150] Computer-readable media includes permanent and non-permanent, movable and non-movable media that can implement information storage by any method or technology. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory media such as modulated data signals and carriers.

[0151] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover non-exclusive inclusions, so that a process, method, article or apparatus that includes a list of elements does not only include those elements, but also includes other elements not explicitly listed, or further includes elements inherent in such a process, method, article or apparatus. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or apparatus that includes the element.

[0152] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the scope of claims of the present application.

Claims

1. A recommended method for using a clothes drying rack, characterized in that, include: Receive site images of the installation site uploaded by the terminal device; The site image is subjected to site feature recognition to obtain the site size features and site environment features of the site to be installed. Based on the site size characteristics and site environment characteristics, clothes drying racks are screened to obtain several target clothes drying racks that meet the site size characteristics and site environment characteristics; Generate a clothes drying rack recommendation interface corresponding to the aforementioned target clothes drying racks; The recommended interface for the clothes drying rack is sent to the terminal device.

2. The method for recommending clothes drying racks according to claim 1, characterized in that, The step of performing site feature recognition on the site image to obtain the site size features and site environment features of the site to be installed includes: The site image is used to identify reference devices to obtain the reference devices in the site image; Obtain the reference dimension information of the reference device; The site image and the reference size information are input into the site size recognition model to obtain the site size features; wherein, the site size recognition model is trained based on a first site image sample labeled with reference size information and site size features; The site image is input into the site environment recognition model to obtain the site environment features; wherein the site environment recognition model is trained based on a second site image sample marked with environmental features.

3. The method for recommending clothes drying racks according to claim 2, characterized in that, The step of obtaining the reference dimension information of the reference device includes: Obtain the brand and model of the reference device; The reference size information corresponding to the brand model is obtained from the pre-stored correspondence between brand model and reference size information. If the retrieval fails, the reference size information corresponding to the brand model is searched from the Internet.

4. The method for recommending clothes drying racks according to claim 1, characterized in that, The step of screening clothes drying racks based on the site size and environmental characteristics to obtain several target clothes drying racks that meet the site size and environmental characteristics includes: Based on the site dimensions, the pre-stored clothes drying rack sizes are filtered to obtain several first candidate clothes drying racks whose sizes are smaller than the site dimensions; Based on the preset correspondence between site environmental characteristics and clothes drying rack functions, obtain the target clothes drying rack function corresponding to the site environmental characteristics, and several second candidate clothes drying racks with the target clothes drying rack function; The target clothes drying racks are obtained by the intersection of the first candidate clothes drying racks and the second candidate clothes drying racks.

5. The method for recommending clothes drying racks according to claim 1, characterized in that, The step of generating a clothes drying rack recommendation interface corresponding to the plurality of target clothes drying racks includes: Based on the product information of the aforementioned target clothes drying racks, generate several individual clothes drying rack recommendation options; Construct a site model based on the site size characteristics; The site model and the target clothes drying racks are input into a trained clothes drying rack combination layout network model to obtain several clothes drying rack combinations and corresponding combination layout diagrams. The clothes drying rack combination includes at least two clothes drying racks from the target clothes drying racks, and the combination layout diagram is a schematic diagram of the distribution and setting of the clothes drying racks included in the clothes drying rack combination in the site model. Based on the aforementioned clothes drying rack combinations, the corresponding combination layout diagrams, and the product information of the target clothes drying racks included in the aforementioned clothes drying rack combinations, several recommended clothes drying rack combination options are generated; The clothes drying rack recommendation interface is generated based on the individual recommendation options for several clothes drying racks and the combination recommendation options for several clothes drying racks.

6. The method for recommending clothes drying racks according to claim 5, characterized in that, The network model for the combined deployment of clothes drying racks is trained through the following steps: Acquire several training samples of clothes drying rack combinations; the training samples of clothes drying rack combinations include site model samples and clothes drying rack combination samples. The training samples of the combined clothes drying racks are input into the initial policy network model to obtain the combined layout map samples output by the initial policy network model. Obtain the sample reward for the plurality of combined layout pattern samples; wherein, if the layout of the combined layout pattern sample is normal, the corresponding sample reward is a positive value, and if the layout of the combined layout pattern sample is abnormal, the corresponding sample reward is a negative value. The model parameters of the initial strategy network model are adjusted based on the sample rewards of the several combined layout diagram samples to obtain the clothes drying rack combined layout network model.

7. The method for recommending clothes drying racks according to claim 5, characterized in that, The clothes drying rack recommendation interface includes an individual recommendation page and a combination recommendation page; The step of sending the recommended interface for the clothes drying rack to the terminal device includes: The individual recommendation page is sent to the terminal device, causing the terminal device to display the individual recommendation page; In response to the combined recommendation request uploaded by the terminal device, the combined recommendation page is sent to the terminal device, causing the terminal device to display the combined recommendation page.

8. The method for recommending clothes drying racks according to claim 1, characterized in that, The recommended interface for the clothes drying rack includes a comparison list display area; The step of generating a clothes drying rack recommendation interface corresponding to the plurality of target clothes drying racks includes: Obtain an initial comparison list, which includes several comparison attribute items, including but not limited to size attribute, functional attribute, price attribute and drying capacity attribute; Based on the correspondence between the data of the target clothes dryers and the comparison attribute items, the data of the target clothes dryers are filled into the initial comparison list to obtain the recommended comparison list displayed in the comparison list display area.

9. A recommended device for a clothes drying rack, characterized in that, include: The site image acquisition module is used to receive site images of the site to be installed uploaded by the terminal device; The site feature recognition module is used to perform site feature recognition on the site image to obtain the site size features and site environment features of the site to be installed. The filtering module is used to filter clothes drying racks based on the site size characteristics and site environment characteristics, and obtain several target clothes drying racks that meet the site size characteristics and site environment characteristics. The recommended interface generation module is used to generate a recommended interface for the several target clothes drying racks; The recommended interface distribution module is used to distribute the recommended interface of the clothes drying rack to the terminal device.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, it implements the steps of the clothes drying rack recommendation method as described in any one of claims 1 to 8.

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