CN110648189A - Clothing recommendation method and device - Google Patents

Abstract

The invention relates to a clothing size recommendation method and a device, wherein the method comprises the following steps: acquiring a size table, determining clothes to be selected, and uploading the size table of the clothes according to the clothes; generating a recommended entry after the size table is associated with the clothes, and entering a size recommending system through the recommended entry; acquiring net body size data, entering a size recommendation system through the recommendation entrance, and setting the net body size data; and a size recommending step, namely calculating the matching degree of the data of the parts corresponding to the clothing size table and the net body size according to the clothing size table and the net body size data, and returning a size result with the best matching degree. Therefore, the size recommendation can be obtained simply and quickly by only uploading the size table of the clothes in advance and allowing a consumer to enter the size recommendation system through the recommendation entrance and providing the net size data of the consumer.

Description

Clothing recommendation method and device

Technical Field

The invention relates to the technical field of computers, in particular to a clothing recommendation method and device.

Background

In the trend of internet shopping, clothing has been a very important commodity category. In the 2017 global retail report issued by PwC, we can see that consumers' consumption on clothing shoes accounts for 77% of all commodity categories. One category of goods of this importance has been the problem of both buyer and seller being headache, the size recommendation.

One method is that the seller client recommends, the buyer consults the customer service when needing size recommendation to purchase clothes, the net size data of the buyer and the clothes style to be purchased are provided for the customer service, the customer service compares the net size data provided by the buyer with a corresponding clothes size table to obtain a proper size, and finally the customer service feeds the obtained size back to the buyer. However, a merchant has a great number of clothes categories, and few products have hundreds of categories, and almost every category corresponds to a size table, so that after the enterprise is gradually grown up, the online stores can cater to a great number of buyers every day. After a buyer views a garment, the size must be selected. At the moment, the customer service needs to consult the buyer for the clothes to be watched, inquire the net body size information of the body and then inquire the corresponding size table to make size recommendation for the user. The main problem in this process is that if the customer service does not respond in time, the user needs to wait for the customer service, but the fact is that the customer service often cannot be quickly received to the buyer and give the recommended size, searching the corresponding size table and comparing the data is time-consuming and labor-consuming, and if the customer service is fatigued or the like, the situation of wrong recommendation also occurs.

The other method is that the buyer selects by himself, when the buyer purchases clothes, if the size is selected by himself, there are two choices, one is to select the size according to the size of the clothes worn by himself at ordinary times, and the second is to understand that the size is selected by himself according to the size table given by the merchant and the data of the body size of himself. However, many buyers do not know the size data of each part of their body, and often only find the corresponding size according to the height and weight, and as a result, the purchased clothes rarely meet the expectation. It is still troublesome for the buyer to know the information about his/her bust. First, the person's body is ever changing, and the last time you measured a body may be fatter than today, etc., it is certainly unreasonable for you to consult customer service with previous volume data to obtain size recommendations.

Disclosure of Invention

Based on the problems, the invention provides a clothing recommendation method and a clothing recommendation device, the clothing recommendation method is based on application of the Internet, shopping webpages can be directly embedded, and a user can select to directly call a size table and net size information for size recommendation.

A method for apparel size recommendation, comprising the steps of:

acquiring a size table, namely determining clothes to be selected, and acquiring the size table of the clothes according to the clothes;

the size table and clothing are correlated, a first ID which is uniquely corresponding to the selected clothing is generated according to the selected clothing, a second ID is generated according to the size table corresponding to the selected clothing, a recommended entry is generated after the first ID and the second ID are correlated, and the size recommending system can be accessed through the recommended entry;

and acquiring net body size data, namely entering a size recommendation system through the recommendation inlet, wherein a net body size module is arranged in the size recommendation system, and the net body size data of the human body is acquired and stored in the net body size module.

And a size recommending step, namely calculating the matching degree of the data of the parts corresponding to the clothing size table and the net body size according to the clothing size table and the net body size data, and returning a size with the best matching degree.

The size recommendation of the corresponding clothes can be carried out on any clothes browsing page, and the method is convenient and quick.

Furthermore, the net size module acquires the net size data of the human body in a mode of acquiring the net size data through external input equipment.

Furthermore, the net size module acquires the net size data of the human body by linking a 3D measurement system, and the 3D measurement system acquires the net size data of the human body automatically after acquiring the three-dimensional model of the human body.

Further, the method for the 3D volume system to obtain the three-dimensional model of the human body is as follows: and obtaining at least one human body front photo and at least one human body side photo, reading the human body front photo and the human body front photo by a system, extracting a human body outline, and performing 3D modeling to obtain the human body three-dimensional model.

The human body net size data can be input, a 3D measuring system can also be linked, a human body picture is shot in the system, the system automatically establishes a human body 3D model and then generates the net size data, and the system is selected in multiple modes and is more intelligent.

Further, the net body size includes, but is not limited to, waist, hip, neck, shoulder width and crotch length of the human body.

The net body size data is generally conventional data, and changes in correspondence with the size table as the size table relates to other data.

Further, the recommended entry is one or two of a website link and a two-dimensional code, and the user enters the size recommending system by clicking the website link or by identifying the two-dimensional code.

And embedding a recommendation entry into a browsing page, entering size recommendation through a link, or entering a system through scanning a two-dimensional code by other equipment, carrying out size recommendation operation at a mobile phone end to obtain size recommendation, and selecting a use mode according to user preference.

Further, in the size recommending step, before the step of calculating the matching degree of the data of the parts corresponding to the clothing size table and the net body size, the size recommending step further comprises the step of setting the loose amount of one or more human body part clothing sizes, and when the matching degree of the clothing and the net body size is calculated, the size recommending result is returned based on the net body size and the loose amount data.

Further, the looseness is a preset standard or manually input data, the preset standard comprises three standards of body shaping, comfort and looseness, and the manually input data is a range of difference between an expected clothes size and a net size.

The standard of the trimming can be as follows: at the same position, the size of the clothes is 1-3cm larger than the size of the net body; the comfortable standard is that the size of the clothes is 3-8cm larger than the size of the net body at the same part; the loose standard is that the size of the clothes is 8-15cm larger than the size of the net body at the same part. When data is manually input, the amount of looseness of some parts can be selected for specific setting.

The preset and customized looseness standard meets personal preferences of users, is not only standardized size recommendation, but also participates in the looseness standard, and solves the problem that the recommendation is not necessarily reasonable due to different clothing preferences of the users.

A computer-readable storage medium, having stored thereon a computer program, wherein the program, when executed by a processor, performs the steps of the apparel size recommendation method described above.

A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the apparel size recommendation method described above when executing the program.

An apparatus suitable for the above clothing size recommendation method, the apparatus comprising:

and the clothing information recording module is used for recording the clothing size table information and associating the clothing with the size table.

And the net body size recording module is used for recording net body size data or acquiring net body size data on the three-dimensional human body model.

And the 3D measuring body module is used for obtaining the side and front photographs of the human body, obtaining the human body outline and establishing a human body three-dimensional model.

And the size recommending module is used for calculating the matching degree of the clothing size and the net body size of the human body and returning to the optimal size matching.

The invention has the beneficial effects that:

the size recommendation can be obtained simply and quickly by only uploading the size table of the clothes in advance and then placing a recommended entrance formed by the clothes and the size table on a clothes browsing interface or other places easy to reach, and a consumer only needs to enter the size recommendation system through the recommended entrance and provide own net size data.

Drawings

FIG. 1 is a schematic flow chart illustrating steps of a method for recommending apparel size in an embodiment of the present invention;

FIG. 2 is a schematic diagram of a computer apparatus in an embodiment of the present invention; and

FIG. 3 is a diagram illustrating an apparatus for a size recommendation method according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more clearly apparent, the following detailed description of the embodiments of the method and apparatus for batch processing of information according to the present invention is provided by way of example with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

The present embodiment is an operation mode of a common shopping platform, and the method can also be used for a self-service shopping system of a physical storefront and other shopping systems.

As shown in fig. 1, a method for recommending apparel size includes the following steps:

uploading a size table to clothes on the shopping platform, wherein the content of the size table is different according to the types of the clothes, the size type can be S, M, L, XL, 160/165/170/180 and the like, the size of each type is different according to the different types of the clothes, data filled in different parts can be selected according to different clothes, for example, the jacket comprises a chest circumference, a waist circumference, a clothes length, a shoulder width and the like, and the trousers comprise a waist circumference, a hip circumference, a crotch length, a trousers length and the like. And each item of data can be provided with a detailed release amount to adapt to the requirements of the types of clothes, and the size table can be used for filling and uploading on line for standard tables provided by the system or uploading tables in a format allowed by the system.

And a step of associating the size table with clothing, namely generating a first ID which is uniquely corresponding to the selected clothing, and generating a second ID according to the size table corresponding to the selected clothing, wherein the second ID can be any type of data type, the first ID and the second ID are associated to generate a recommended entry, and the recommended entry is a website link or a two-dimensional code and can enter a size recommendation system through the recommended entry. Usually, a recommendation entry in a PC webpage is a website link and a two-dimensional code, the size recommendation system can be directly accessed by clicking the website link, and a mobile phone or other mobile electronic equipment can be selected to scan the two-dimensional code and then the size recommendation system can be accessed by a mobile terminal.

And providing net body size data, wherein a net body size module is arranged in the size recommendation system, and the net body size data of the human body are acquired and stored in the net body size module, and the net body sizes include but are not limited to the waist size, the hip size, the neck size, the shoulder width and the crotch length of the human body.

The net body size can be manually input, namely a net body size input area is arranged in the net body size module, and only relevant parameters need to be input in the area.

The net body size can be automatically obtained through a 3D (three-dimensional) measuring system, the specific method comprises the steps of linking the 3D measuring system, obtaining at least one human body front photo and at least one human body front photo from the 3D measuring system, extracting the human body outline after the system reads the human body front photo and the human body side photo, carrying out 3D modeling to obtain a human body three-dimensional model, and automatically reading required net body size data after the human body three-dimensional model is obtained.

And a size recommending step, namely calculating the matching degree of the data of the parts corresponding to the clothing size table and the net body size according to the clothing size table and the net body size data, and returning a size result with the best matching degree.

According to needs and personal preferences, before the step of calculating the matching degree of the parts corresponding to the clothing size table and the net body size, the looseness of one or more human body part clothing sizes can be set, wherein the looseness refers to the looseness of the clothing, and when the matching degree of the clothing and the net body size is calculated, the size recommendation result is returned according to the data of the net body size and the looseness.

The system has a preset loose standard and can also manually input data, the system provides a standard table, the preset standard comprises three standards of body shaping, comfort and loose, the body shaping standard is defined as that the size of the clothes is 1-3cm larger than the size of the clean body at the same part; the comfort standard is defined as that the size of the clothes is 3-8cm larger than the size of the net body at the same part; the loose standard is defined as that the size of the clothes is 8-15cm larger than that of the net body at the same part.

When the data is manually input, the system can prompt that the data belongs to body shaping, comfort or looseness according to a preset standard.

The body building, comfort and compliance standards are not exclusive definitions of the present invention and similar terms are not intended to be outside the scope of the present invention.

The invention also relates to a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the apparel size recommendation method as shown in figure 1.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.

The invention also relates to a computer device, as shown in fig. 2, comprising a memory 100, a processor 200 and a computer program 300 stored on the memory and executable on the processor, the processor implementing the steps of the clothing size recommendation method as shown in fig. 1 when executing the program.

An apparatus suitable for use in the method for recommending apparel size as shown in fig. 1, as shown in fig. 3, comprises:

and a clothing information recording module 10 for inputting clothing size table information and associating clothing with the size table.

And the net body size recording module 20 is used for inputting net body size data or extracting net body size data on the three-dimensional human body model.

And the 3D measuring module 30 is used for shooting the side and front photographs of the human body, extracting the human body outline and establishing a human body three-dimensional model.

And the size recommending module 40 is used for calculating the matching degree of the clothing size and the net body size of the human body and returning to the optimal size matching.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.

The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present disclosure are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.

The block diagrams of devices, apparatuses, systems referred to in this disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".

Also, as used herein, the use of "or" in a list of items beginning with "at least one" indicates a separate list, e.g., "A, B or at least one of C" means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Furthermore, the word "exemplary" does not mean that the described example is preferred or better than other examples.

It is also noted that in the systems and methods of the present disclosure, components or steps may be decomposed and/or re-combined. These decompositions and/or recombinations are to be considered equivalents of the present disclosure.

Various changes, substitutions and alterations to the techniques described herein may be made without departing from the techniques of the teachings as defined by the appended claims. Moreover, the scope of the claims of the present disclosure is not limited to the particular aspects of the process, machine, manufacture, composition of matter, means, methods and acts described above. Processes, machines, manufacture, compositions of matter, means, methods, or acts, presently existing or later to be developed that perform substantially the same function or achieve substantially the same result as the corresponding aspects described herein may be utilized. Accordingly, the appended claims are intended to include within their scope such processes, machines, manufacture, compositions of matter, means, methods, or acts.

The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the disclosure to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.

Claims (11)

1. A method for apparel size recommendation, the method comprising:

acquiring a size table, namely determining clothes to be selected, and acquiring the size table of the clothes according to the clothes;

the size table and clothing are correlated, a first ID which is uniquely corresponding to the selected clothing is generated according to the selected clothing, a second ID is generated according to the size table corresponding to the selected clothing, a recommended entry is generated after the first ID and the second ID are correlated, and the size recommending system can be accessed through the recommended entry;

acquiring net body size data, namely entering a size recommendation system through the recommendation entrance, wherein a net body size module is arranged in the size recommendation system, and the net body size data of a human body are acquired and stored in the net body size module;

and a size recommending step, namely calculating the matching degree of the data of the parts corresponding to the clothing size table and the net body size according to the clothing size table and the net body size data, and returning a size with the best matching degree.

2. The apparel size recommendation method of claim 1 wherein the net size module obtains the net size data for the human body by obtaining the net size data via an external input device.

3. The clothing recommendation method according to claim 1, wherein the net size module obtains the net size data of the human body by linking a 3D measurement system, and the 3D measurement system automatically obtains the net size data of the human body after obtaining the three-dimensional model of the human body.

4. The garment recommendation method in accordance with claim 1, wherein the net body dimensions include, but are not limited to, waist, hip, neck, shoulder width, and crotch length of the human body.

5. The apparel size recommendation method of claim 3 wherein the method by which the 3D metrology system obtains the three-dimensional model of the human body is: the method comprises the steps of obtaining at least one human body front photo and at least one human body side photo, reading the human body front photo and the human body side photo by a system, extracting a human body outline, and performing 3D modeling to obtain the human body three-dimensional model.

6. The apparel size recommendation method of claim 1 wherein the recommendation entries are one or more of website links or two-dimensional codes coexisting recommendation entries.

7. The clothing size recommendation method according to claim 1, wherein in the size recommendation step, before the step of calculating the matching degree of the data of the parts corresponding to the clothing size table and the net body size, the method further comprises setting the looseness of one or more human body part clothing sizes, and when the matching degree of the clothing and the net body size is calculated, the size recommendation result is returned based on the net body size and the looseness data.

8. The garment size recommendation method of claim 7, wherein the slack is a preset criterion including three criteria of fit, comfort, and looseness, or manually entered data that is a range of expected garment size versus net size.

9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.

10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1-8 are implemented when the program is executed by the processor.

11. An apparatus adapted for use in the apparel recommendation method of claims 1-8, the apparatus comprising:

the clothing information recording module is used for recording clothing size table information and associating clothing with the size table;

the net body size recording module is used for acquiring net body size data or extracting net body size data on the three-dimensional human body model;

the 3D measuring module is used for acquiring the side and front photographs of the human body, extracting the human body outline and establishing a human body three-dimensional model;

and the size recommending module is used for calculating the matching degree of the clothing size and the net body size of the human body and returning to the optimal size matching.

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