KR20240025158A - Control method of electronic device recommending customized clothing for customer - Google Patents

Abstract

A method for controlling an electronic device according to one aspect of the present invention, comprising: acquiring, by the electronic device, data about at least one piece of clothing owned by a user of the customer terminal from a customer terminal; generating, by the electronic device, a user-suitable size based on the data; identifying, by the electronic device, a size for each brand based on the customer-suitable size; generating, by the electronic device, clothing recommendation information based on the size of each identified brand; and providing, by the electronic device, the clothing recommendation information to the customer terminal.

Description

{CONTROL METHOD OF ELECTRONIC DEVICE RECOMMENDING CUSTOMIZED CLOTHING FOR CUSTOMER}

The present invention relates to a control method of an electronic device that recommends customized clothing to a customer. In detail, the size of the clothing held by the user and the user's preferred fit (e.g., overfit, normal fit, tight fit) are determined through collected data. ) and, based on this, recommend clothing with similar sizes and fits for each brand.

In the conventional clothing market, the sizes of clothing are not segmented and standardized, so different brands of clothing that display the same size have different actual measurements, causing inconvenience to consumers when purchasing clothing online.

In an effort to solve this problem, we provide reviews of other people's clothing purchases categorized by weight and height. However, this shows that there are differences in the preferred fit for each customer, and the InBody results of others with the same weight and height (e.g. muscle mass, As body fat mass, etc.) vary, it is difficult to use it as accurate data.

Meanwhile, the matters described as background technology above are only for the purpose of improving understanding of the background of the present invention, and should not be taken as recognition that they correspond to prior art already known to those skilled in the art. will be.

The problem to be solved by the present invention is to provide a control method for an electronic device that recommends customized clothing to customers.

In detail, customized clothing recommendation information is created for each customer based on actual measurements (total length, chest cross-section, etc.) for each clothing, selected brand, preferred style, and disliked style, thereby increasing the likelihood of purchase and reducing shopping fatigue. The goal is to provide a control method for an electronic device that recommends custom-tailored clothing that can reduce .

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned can be clearly understood by those skilled in the art from the description below.

In the control method of an electronic device according to one aspect of the present invention for solving the above-described problem, the electronic device includes the steps of: acquiring data about at least one piece of clothing owned by a user of the customer terminal from a customer terminal; generating, by the electronic device, a user-suitable size based on the data; identifying, by the electronic device, a size for each brand based on the customer-suitable size; generating, by the electronic device, clothing recommendation information based on the size of each identified brand; and providing, by the electronic device, the clothing recommendation information to the customer terminal.

The data includes body measurement information of the customer, brand information owned by the customer, clothing code information for each brand, size information for each clothing code, fit information preferred by the customer, color information preferred by the customer, and It may be characterized by including at least one of the clothing type information preferred by the customer.

The step of identifying the size for each brand based on the customer-suitable size includes selecting a preferred fit for the customer among overfit, normal fit, and tight fit based on the data; And identifying a recommended size for each brand based on the preferred fit; further comprising providing the clothing recommendation information to the customer terminal, wherein the recommended size for each brand is provided to the customer terminal along with the clothing recommendation information. It further includes a step of providing.

Other specific details of the invention are included in the detailed description and drawings.

According to the control method of an electronic device for recommending customized clothing to a customer of the present invention, clothing preferred by the customer or suitable for the customer's body can be recommended by brand based on clothing information held by the user and data related to preferences additionally provided by the user. You can.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a configuration diagram of an electronic device according to an embodiment of the present disclosure.
Figure 2 is a configuration diagram of a system according to an embodiment of the present disclosure.
Figure 3 is a basic flowchart according to an embodiment of the present disclosure.
4 and 5 are conceptual diagrams according to an embodiment of the present disclosure.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide a general understanding of the technical field to which the present invention pertains. It is provided to fully inform the skilled person of the scope of the present invention, and the present invention is only defined by the scope of the claims.

The terminology used herein is for describing embodiments and is not intended to limit the invention. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. As used in the specification, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other elements in addition to the mentioned elements. Like reference numerals refer to like elements throughout the specification, and “and/or” includes each and every combination of one or more of the referenced elements. Although “first”, “second”, etc. are used to describe various components, these components are of course not limited by these terms. These terms are merely used to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may also be a second component within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention pertains. Additionally, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless clearly specifically defined.

As used in the specification, the term “unit” or “module” refers to a hardware component such as software, FPGA, or ASIC, and the “unit” or “module” performs certain roles. However, “part” or “module” is not limited to software or hardware. A “unit” or “module” may be configured to reside on an addressable storage medium and may be configured to run on one or more processors. Thus, as an example, a “part” or “module” refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, Includes procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functionality provided within components and “parts” or “modules” can be combined into smaller components and “parts” or “modules” or into additional components and “parts” or “modules”. Could be further separated.

Spatially relative terms such as “below”, “beneath”, “lower”, “above”, “upper”, etc. are used as a single term as shown in the drawing. It can be used to easily describe the correlation between a component and other components. Spatially relative terms should be understood as terms that include different directions of components during use or operation in addition to the directions shown in the drawings. For example, if you flip a component shown in a drawing, a component described as "below" or "beneath" another component will be placed "above" the other component. You can. Accordingly, the illustrative term “down” may include both downward and upward directions. Components can also be oriented in other directions, so spatially relative terms can be interpreted according to orientation.

In this specification, a computer refers to all types of hardware devices including at least one processor, and depending on the embodiment, it may be understood as encompassing software configurations that operate on the hardware device. For example, a computer can be understood to include, but is not limited to, a smartphone, tablet PC, desktop, laptop, and user clients and applications running on each device.

Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

FIG. 1 is a configuration diagram of an electronic device according to an embodiment of the present disclosure, and FIG. 2 is a configuration diagram of a system according to an embodiment of the present disclosure.

As shown in FIG. 1, the present invention is an electronic device 100 that recommends customized clothing to a customer and includes a memory 110, a communication unit 120 that communicates with at least one terminal, and the memory 110 and the communication unit 120. It includes a processor 130 connected to each, and communicates through the customer terminal 200 and the communication unit 120, and the customer terminal 200 may be an electronic device of a customer who wants to receive clothing recommendations.

In one embodiment, the electronic device 100 includes a server, a smartphone, a tablet personal computer, a mobile phone, a video phone, a laptop PC, and a netbook computer. ), a laptop computer, and a wearable device, and the customer terminal 200 may be a server, a smartphone, a tablet personal computer, or a mobile phone. At least one of a phone, a video phone, a laptop PC, a netbook computer, a laptop computer, a personal digital assistant (PDA), a portable multimedia player (PMP), and a wearable device. may include.

Meanwhile, the memory 110 can store various programs and data necessary for the operation of the server 100. The memory 110 may be implemented as a non-volatile memory 110, a volatile memory 110, a flash-memory 110, a hard disk drive (HDD), or a solid state drive (SSD).

The communication unit 120 can communicate with an external device. In particular, the communication unit 120 may include various communication chips such as a Wi-Fi chip, a Bluetooth chip, a wireless communication chip, an NFC chip, and a low-energy Bluetooth chip (BLE chip). At this time, the Wi-Fi chip, Bluetooth chip, and NFC chip communicate in the LAN method, WiFi method, Bluetooth method, and NFC method, respectively. When using a Wi-Fi chip or Bluetooth chip, various connection information such as SSID and session key are first transmitted and received, and various information can be transmitted and received after establishing a communication connection using this. A wireless communication chip refers to a chip that performs communication according to various communication standards such as IEEE, ZigBee, 3G (3rd Generation), 3GPP (3rd Generation Partnership Project), LTE (Long Term Evolution), and 5G (5th Generation).

The processor 130 can control the overall operation of the server 100 using various programs stored in the memory 110. The processor 130 may be comprised of RAM, ROM, a graphics processing unit, a main CPU, first to n interfaces, and a bus. At this time, RAM, ROM, graphics processing unit, main CPU, first to n interfaces, etc. may be connected to each other through a bus.

RAM stores O/S and application programs. Specifically, when the server 100 is booted, the O/S is stored in RAM, and various application data selected by the user may be stored in RAM.

ROM stores a set of instructions for booting the system. When a turn-on command is input and power is supplied, the main CPU copies the O/S stored in the memory 110 to RAM according to the command stored in the ROM, executes the O/S, and boots the system. When booting is complete, the main CPU copies various application programs stored in the memory 110 to RAM and executes the application programs copied to RAM to perform various operations.

The graphics processing unit uses a calculation unit (not shown) and a rendering unit (not shown) to create a screen containing various objects such as items, images, and text. Here, the calculation unit may be configured to calculate attribute values such as coordinate values, shape, size, color, etc. for each object to be displayed according to the layout of the screen using a control command received from the input unit. Additionally, the rendering unit may be configured to generate screens of various layouts including objects based on attribute values calculated by the calculation unit. The screen generated by this rendering unit may be displayed within the display area of a separate device or a display included in the electronic device 100.

The main CPU accesses the memory 110 and performs booting using the OS stored in the memory 110. And, the main CPU performs various operations using various programs, contents, data, etc. stored in the memory 110.

The first to n interfaces are connected to the various components described above. One of the first to n interfaces may be a network interface connected to an external device through a network.

Meanwhile, the processor 130 may include one or more cores (not shown) and a graphics processing unit (not shown) and/or a connection path (e.g., bus, etc.) for transmitting and receiving signals with other components. You can.

Processor 130 according to one embodiment performs the method described in connection with the present invention by executing one or more instructions stored in memory 110.

For example, the processor 130 acquires new training data by executing one or more instructions stored in the memory 110, performs a test on the acquired new training data using a learned model, and performs the test. As a result, first learning data in which labeled information is obtained with an accuracy greater than a predetermined first reference value is extracted, the extracted first learning data is deleted from the new learning data, and the new learning data from which the extracted learning data is deleted is extracted. The learned model can be retrained using training data.

Meanwhile, the processor 130 includes random access memory (RAM) (not shown) and read-only memory (ROM) that temporarily and/or permanently store signals (or data) processed within the processor 130. , not shown) may be further included. Additionally, the processor 130 may be implemented in the form of a system on chip (SoC) that includes at least one of a graphics processing unit, RAM, and ROM.

The memory 110 may store programs (one or more instructions) for processing and control of the processor 130. Programs stored in the memory 110 may be divided into a plurality of modules according to their functions.

FIG. 3 is a basic flowchart according to an embodiment of the present disclosure, and FIGS. 4 and 5 are conceptual diagrams according to an embodiment of the present disclosure.

As shown in FIG. 3, in the control method of the electronic device 100 for recommending customized clothing to a customer according to the present invention, the electronic device 100 receives at least one item held by the user of the customer terminal 200 from the customer terminal 200. Data for one piece of clothing is acquired (S310), and a user-suitable size is created based on the data (S320).

Accordingly, the electronic device 100 identifies the size of each brand based on the customer suitable size (S330), generates clothing recommendation information based on the identified size of each brand (S340), and sends the clothing recommendation information to the customer terminal. It can be provided as (200) (S350).

At this time, the data includes the customer's body measurement information, brand information owned by the customer, clothing code information for each brand, size information for each clothing code, customer preferred fit information, customer preferred color information, and customer preferred clothing. Contains at least one type of information.

Meanwhile, in identifying the size for each brand based on the customer-suitable size in step S330, the electronic device 100 selects the preferred fit for the customer among overfit, normal fit, and tight fit based on data, Based on the selected preferred fit, the recommended size for each brand is identified, and in performing step S350, the recommended size for each brand is provided to the customer terminal 200 along with clothing recommendation information.

Meanwhile, as shown in FIG. 4, in performing step S350, the electronic device 100 determines the fit similarity (degree of similarity in size) with the preferred fit for a piece of clothing selected according to the recommended size for each brand. It can be provided as ‘95% similar’.

Additionally, the electronic device 100 may provide the difference values for each part (chest cross-section, shoulder width, total length, sleeve length, etc.) compared to the user's body measurement information as values for excess and less for one piece of clothing.

In this way, the electronic device 100 can identify customers who can purchase each brand and clothing, provide additional discounts to customers belonging to the purchaseable group, or induce customers to purchase clothing through clothing recommendations.

Meanwhile, as shown in FIG. 5, the electronic device 100 can cluster customers through data analysis and classify them into a group available for purchase, a group of loyal customers, and a group at risk of leaving for one brand.

The steps of the method or algorithm described in connection with embodiments of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. The software module may be RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), Flash Memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the present invention pertains.

Additionally, different embodiments of the present invention may complement or be combined with each other.

The components of the present invention may be implemented as a program (or application) and stored in a medium in order to be executed in conjunction with a hardware computer. Components of the invention may be implemented as software programming or software elements, and similarly, embodiments may include various algorithms implemented as combinations of data structures, processes, routines or other programming constructs, such as C, C++, , it can be implemented in a programming or scripting language such as Java, assembler, Python, etc. Functional aspects may be implemented as algorithms running on one or more processors.

Above, embodiments of the present invention have been described with reference to the attached drawings, but those skilled in the art will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. You will be able to understand it. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive.

100: server
110: memory
120: Department of Communications
130: processor
200: customer terminal

Claims (3)

In a method of controlling an electronic device,
Obtaining, by the electronic device, data about at least one piece of clothing owned by a user of the customer terminal from a customer terminal;
generating, by the electronic device, a user-suitable size based on the data;
identifying, by the electronic device, a size for each brand based on the customer-suitable size;
generating, by the electronic device, clothing recommendation information based on the size of each identified brand; and
A control method of an electronic device comprising: providing, by the electronic device, the clothing recommendation information to the customer terminal. According to claim 1,
The data is,
Body measurement information of the customer, brand information owned by the customer, clothing code information for each brand, size information for each clothing code, fit information preferred by the customer, color information preferred by the customer, and information preferred by the customer A control method of an electronic device, characterized in that it includes at least one of clothing type information. According to claim 1,
The step of identifying the size for each brand based on the customer suitable size is,
Based on the data, selecting a preferred fit for the customer among overfit, normal fit, and tight fit; and
Further comprising: identifying a recommended size for each brand based on the preferred fit,
The step of providing the clothing recommendation information to the customer terminal is:
Providing the recommended size for each brand along with the clothing recommendation information to the customer terminal; further comprising: a control method of an electronic device.