KR102222711B1 - Electronic device for providing website related to shopping mall and method for operation thereof - Google Patents

Abstract

According to various embodiments, a shopping mall service providing server, which processes a request received from a user device, transmits requested information to the user device, and supports a shopping mall related website, includes a processor and a memory operatively coupled to a processor. The memory stores instructions for allowing, upon execution, the processor to determine whether an object input into a search window of a website is a search term or an image for a search based on a user account logged into the website through a user device, search for products related to the search term when the object corresponds to the search term, provide searched products, search for one or more products related to the image for search among a plurality of registered products on the website using a first artificial intelligence model for similar image search when the object corresponds to an image for search, and provide a purchase product list including first products which a user account has already purchased from among the one or more products and a first recommended product list including second products corresponding to a color designated by the user account, wherein the first recommended product list may be selected from products other than the purchase product list among the one or more products, and the purchase product list and the first recommended product list may be displayed adjacent to the search box below. Various other embodiments are possible.

Description

Electronic device providing a shopping mall-related website and its operation method {ELECTRONIC DEVICE FOR PROVIDING WEBSITE RELATED TO SHOPPING MALL AND METHOD FOR OPERATION THEREOF}

Various embodiments of the present invention relate to an electronic device that searches for a product registered on a shopping mall-related web site and provides a service for recommending it, and an operation method thereof.

Online shopping refers to searching for and ordering products using communication, and has achieved great growth every year due to the development of information and communication and the convenience of purchasing products. Accordingly, a number of online shopping malls are created every year, and a system for helping the production of online shopping malls is being developed as shown in the following patent documents.

<Patent Literature>

Patent No. 10-1302180 (registered on August 26, 2013) "Personalized service shopping mall platform construction method and system

However, since the conventional system is simply to help the production of an online shopping mall, the newly created online shopping mall frequently fails before it becomes competitive. Accordingly, there is a growing need for a system that not only can easily create an online shopping mall, but also assists in smoothly performing shopping through the online shopping mall so that the online shopping mall can have a competitive edge.

Patent No. 10-1302180 (registered on August 26, 2013)

The present invention was created to solve the above problems, and an electronic device and a method of operation thereof according to various embodiments of the present invention search for recommended products using an artificial intelligence model, and provide an intuitive graphic user interface to the user. It is possible to provide a shopping mall service providing server supporting a shopping mall-related web site designed to provide and a service method thereof.

According to various embodiments, a shopping mall service providing server that processes a request received from a user device, transmits the requested information to the user device, and supports a shopping mall-related web site, is operatively provided with a processor and the processor. Including a connected memory, the memory, when executed, the processor, by a user account logged in to the website through the user device, the object entered in the search box of the website is a search word It determines whether it is a recognition or a search image, and when the object corresponds to the search word, searches for products related to the search word, provides the searched product, and when the object corresponds to a search image, searches for similar images A first artificial intelligence model for searching for one or more products related to the search image among a plurality of products registered on the website, and a first among the one or more products that the user account has already purchased Stores instructions for providing a list of products sold by a device including products and a list of first recommended products including second products corresponding to a color designated by the user account, and the first recommended product list Among the one or more products, the product may be selected from products other than the product list sold, and the list of products sold and the first recommended product list may be displayed adjacent to the bottom of the search window.

According to various embodiments of the present invention, not only an artificial intelligence model for searching for products with high similarity to the product that a user wants to search for and an artificial intelligence model for recommending a product with high relevance to the product selected by the user may be used. A graphic user interface capable of intuitively grasping a product that a user has already purchased, a product that the user wants to search, and a recommended product related to the searched product may be provided.

1 is a block diagram of an electronic device and a network according to various embodiments of the present disclosure.
2 is a block diagram of an electronic device according to various embodiments of the present disclosure.
3 is a block diagram of a program module according to various embodiments.
4 is a flowchart illustrating a method of searching for and recommending a product by an electronic device (eg, the electronic device 101 of FIG. 1) according to various embodiments.
5 is a diagram illustrating a graphic user interface for searching for a search word or a search image according to various embodiments.
6A is a diagram illustrating an embodiment in which, according to various embodiments, a list of products sold by a device and a list of first recommended products are provided for a search image when a search image is uploaded through a search window.
6B is a diagram illustrating an embodiment of providing a second recommended product list related to a specific product when a user selects a specific product from a first recommended product list according to various embodiments of the present disclosure.

Hereinafter, various embodiments of the present document will be described with reference to the accompanying drawings. The examples and terms used therein are not intended to limit the technology described in this document to a specific embodiment, and should be understood to include various changes, equivalents, and/or substitutes for the corresponding embodiment. In connection with the description of the drawings, similar reference numerals may be used for similar elements. Singular expressions may include plural expressions unless the context clearly indicates otherwise. In this document, expressions such as "A or B" or "at least one of A and/or B" may include all possible combinations of items listed together. Expressions such as "first," "second," "first," or "second," can modify the corresponding elements regardless of their order or importance, and to distinguish one element from another It is used only and does not limit the corresponding components. When any (eg, first) component is referred to as being “(functionally or communicatively) connected” or “connected” to another (eg, second) component, the component is It may be directly connected to the component, or may be connected through another component (eg, a third component).

In this document, "configured to (configured to)" means "suitable for," "having the ability to," "to," or changed to, depending on the situation, for example, in hardware or software. ," "made to," "can do," or "designed to" can be used interchangeably. In some situations, the expression "a device configured to" may mean that the device "can" along with other devices or parts. For example, the phrase “a processor configured (or configured) to perform A, B, and C” means a dedicated processor (eg, an embedded processor) for performing the operation, or by executing one or more software programs stored in a memory device. , May mean a general-purpose processor (eg, a CPU or an application processor) capable of performing the corresponding operations.

Electronic devices according to various embodiments of the present document include, for example, smart phones, tablet PCs, mobile phones, video phones, e-book readers, desktop PCs, laptop PCs, netbook computers, workstations, servers, PDAs, and PMPs. It may include at least one of a (portable multimedia player), an MP3 player, a medical device, a camera, or a wearable device. Wearable devices include accessory types (e.g. watches, rings, bracelets, anklets, necklaces, glasses, contact lenses, or head-mounted-devices (HMD)), fabric or clothing integrals (e.g. electronic clothing), It may include at least one of a body-attached type (eg, a skin pad or a tattoo), or a bio-implantable circuit In some embodiments, the electronic device includes, for example, a television, a digital video disk (DVD) player, Audio, refrigerator, air conditioner, vacuum cleaner, oven, microwave, washing machine, air purifier, set-top box, home automation control panel, security control panel, media box (e.g. Samsung HomeSync ^TM , Apple TV ^TM , or Google TV ^TM ) , A game console (eg ^{, Xbox TM} , PlayStation ^TM ), an electronic dictionary, an electronic key, a camcorder, or an electronic frame.

In another embodiment, the electronic device includes various medical devices (e.g., various portable medical measuring devices (blood glucose meter, heart rate meter, blood pressure meter, or body temperature meter, etc.), magnetic resonance angiography (MRA), magnetic resonance imaging (MRI), CT (computed tomography), camera, or ultrasound), navigation device, global navigation satellite system (GNSS), event data recorder (EDR), flight data recorder (FDR), automobile infotainment device, electronic equipment for ships (E.g., navigation devices for ships, gyro compasses, etc.), avionics, security devices, vehicle head units, industrial or home robots, drones, ATMs in financial institutions, point of sale points (POSs) in stores. of sales), or IoT devices (eg, light bulbs, various sensors, sprinkler devices, fire alarms, temperature controllers, street lights, toasters, exercise equipment, hot water tanks, heaters, boilers, etc.). According to some embodiments, the electronic device is a piece of furniture, a building/structure, or a vehicle, an electronic board, an electronic signature receiving device, a projector, or various measuring devices (e.g., water, electricity, Gas, or a radio wave measuring device, etc.). In various embodiments, the electronic device may be flexible or may be a combination of two or more of the aforementioned various devices. The electronic device according to the embodiment of the present document is not limited to the above-described devices. In this document, the term user may refer to a person using an electronic device or a device (eg, an artificial intelligence electronic device) using an electronic device.

Referring to FIG. 1, in various embodiments, an electronic device 101 in a network environment 100 is described. The electronic device 101 may include a bus 110, a processor 120, a memory 130, an input/output interface 150, a display 160, and a communication interface 170. In some embodiments, the electronic device 101 may omit at least one of the constituent elements or may additionally include other constituent elements. The bus 110 may include a circuit that connects the components 110 to 170 to each other and transmits communication (eg, control message or data) between the components. The processor 120 may include one or more of a central processing unit, an application processor, and a communication processor (CP). The processor 120 may control at least one other component of the electronic device 101 and/or perform an operation or data processing related to communication.

The memory 130 may include volatile and/or nonvolatile memory. The memory 130 may store, for example, a command or data related to at least one other component of the electronic device 101. According to an embodiment, the memory 130 may store software and/or a program 140. The program 140 may include, for example, a kernel 141, middleware 143, an application programming interface (API) 145, and/or an application program (or “application”) 147, and the like. . At least a portion of the kernel 141, the middleware 143, or the API 145 may be referred to as an operating system. The kernel 141 is, for example, system resources used to execute an operation or function implemented in other programs (eg, middleware 143, API 145, or application program 147). : The bus 110, the processor 120, or the memory 130, etc.) can be controlled or managed. In addition, the kernel 141 provides an interface for controlling or managing system resources by accessing individual components of the electronic device 101 from the middleware 143, the API 145, or the application program 147. I can.

The middleware 143 may play an intermediary role so that the API 145 or the application program 147 communicates with the kernel 141 to exchange data. In addition, the middleware 143 may process one or more job requests received from the application program 147 according to priority. For example, the middleware 143 can use the system resources of the electronic device 101 (eg, the bus 110, the processor 120, or the memory 130) for at least one of the application programs 147. Priority may be assigned and the one or more work requests may be processed. The API 145 is an interface for the application 147 to control functions provided by the kernel 141 or the middleware 143, for example, at least for file control, window control, image processing, or character control. It may contain one interface or function (eg, command). The input/output interface 150 transmits, for example, a command or data input from a user or other external device to other component(s) of the electronic device 101, or other components of the electronic device 101 ( S) can be output to the user or other external device.

The display 160 includes, for example, a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, or a microelectromechanical system (MEMS) display, or an electronic paper display. Can include. The display 160 may display various types of content (eg, text, images, videos, icons, and/or symbols, etc.) to a user, for example. The display 160 may include a touch screen, and may receive, for example, a touch, gesture, proximity, or hovering input using an electronic pen or a part of the user's body. The communication interface 170, for example, establishes communication between the electronic device 101 and an external device (for example, the first external electronic device 102, the second external electronic device 104, or the server 106). I can. For example, the communication interface 170 may be connected to the network 162 through wireless communication or wired communication to communicate with an external device (eg, the second external electronic device 104 or the server 106).

Wireless communication is, for example, LTE, LTE-A (LTE Advance), CDMA (code division multiple access), WCDMA (wideband CDMA), UMTS (universal mobile telecommunications system), WiBro (Wireless Broadband), or GSM (Global System for Mobile Communications) and the like may include cellular communication using at least one of. According to an embodiment, wireless communication is, for example, WiFi (wireless fidelity), Bluetooth, Bluetooth low power (BLE), Zigbee, near field communication (NFC), magnetic secure transmission, radio It may include at least one of a frequency (RF) and a body area network (BAN). According to one embodiment, wireless communication may include GNSS. The GNSS may be, for example, a Global Positioning System (GPS), a Global Navigation Satellite System (Glonass), a Beidou Navigation Satellite System (hereinafter "Beidou"), or Galileo, the European global satellite-based navigation system. Hereinafter, in this document, "GPS" may be used interchangeably with "GNSS". Wired communication may include at least one of, for example, universal serial bus (USB), high definition multimedia interface (HDMI), recommended standard 232 (RS-232), power line communication, or plain old telephone service (POTS). have. The network 162 may include at least one of a telecommunication network, for example, a computer network (eg, LAN or WAN), the Internet, or a telephone network.

Each of the first and second external electronic devices 102 and 104 may be a device of the same or different type as the electronic device 101. According to various embodiments, all or part of the operations executed by the electronic device 101 may be executed by another one or a plurality of electronic devices (eg, the electronic devices 102 and 104 or the server 106). In one embodiment According to this, when the electronic device 101 needs to perform a certain function or service automatically or upon request, the electronic device 101 instead of or additionally executing the function or service itself, at least some functions associated therewith. May be requested from another device (eg, the electronic device 102, 104, or the server 106). Another electronic device (eg, the electronic device 102, 104, or the server 106) The additional function may be executed and the result may be transmitted to the electronic device 101. The electronic device 101 may provide the requested function or service by processing the received result as it is or additionally. For example, cloud computing, distributed computing, or client-server computing technology may be used.

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2 is a block diagram of an electronic device 201 according to various embodiments. The electronic device 201 may include, for example, all or part of the electronic device 101 illustrated in FIG. 1. The electronic device 201 includes one or more processors (eg, an AP) 210, a communication module 220, a (subscriber identification module 224), a memory 230, a sensor module 240, an input device 250, and a display. 260, an interface 270, an audio module 280, a camera module 291, a power management module 295, a battery 296, an indicator 297, and a motor 298. The 210 may control a plurality of hardware or software components connected to the processor 210 by driving an operating system or an application program, for example, and may perform various data processing and operations. ) May be implemented with, for example, a system on chip (SoC) According to an embodiment, the processor 210 may further include a graphic processing unit (GPU) and/or an image signal processor. 210 may also include at least some (eg, cellular module 221) of the components shown in Fig. 2. The processor 210 may be configured from at least one of other components (eg, nonvolatile memory). The received command or data is loaded into a volatile memory and processed, and result data can be stored in a non-volatile memory.

It may have the same or similar configuration as the communication module 220 (for example, the communication interface 170). The communication module 220 may include, for example, a cellular module 221, a WiFi module 223, a Bluetooth module 225, a GNSS module 227, an NFC module 228, and an RF module 229. have. The cellular module 221 may provide, for example, a voice call, a video call, a text service, or an Internet service through a communication network. According to an embodiment, the cellular module 221 may distinguish and authenticate the electronic device 201 in a communication network using a subscriber identification module (eg, a SIM card) 224. According to an embodiment, the cellular module 221 may perform at least some of the functions that the processor 210 may provide. According to an embodiment, the cellular module 221 may include a communication processor (CP). According to some embodiments, at least some (eg, two or more) of the cellular module 221, the WiFi module 223, the Bluetooth module 225, the GNSS module 227, or the NFC module 228 is a single integrated chip. (IC) or can be included in an IC package. The RF module 229 may transmit and receive, for example, a communication signal (eg, an RF signal). The RF module 229 may include, for example, a transceiver, a power amp module (PAM), a frequency filter, a low noise amplifier (LNA), or an antenna. According to another embodiment, at least one of the cellular module 221, the WiFi module 223, the Bluetooth module 225, the GNSS module 227, or the NFC module 228 transmits and receives an RF signal through a separate RF module. I can. The subscriber identification module 224 may include, for example, a card including a subscriber identification module or an embedded SIM, and unique identification information (eg, integrated circuit card identifier (ICCID)) or subscriber information (eg, IMSI (international mobile subscriber identity)).

The memory 230 (for example, the memory 130) may include, for example, an internal memory 232 or an external memory 234. The internal memory 232 is, for example, a volatile memory (for example, DRAM, SRAM, or SDRAM), a non-volatile memory (for example, one time programmable ROM (OTPROM), PROM, EPROM, EEPROM, mask ROM, flash ROM, etc.) , A flash memory, a hard drive, or a solid state drive (SSD) The external memory 234 is a flash drive, for example, compact flash (CF), secure digital (SD). ), Micro-SD, Mini-SD, xD (extreme digital), MMC (multi-media card), memory stick, etc. The external memory 234 is functional with the electronic device 201 through various interfaces. They can be connected either physically or physically.

The sensor module 240 may measure a physical quantity or detect an operating state of the electronic device 201, for example, and convert the measured or sensed information into an electrical signal. The sensor module 240 is, for example, a gesture sensor 240A, a gyro sensor 240B, an atmospheric pressure sensor 240C, a magnetic sensor 240D, an acceleration sensor 240E, a grip sensor 240F, a proximity sensor ( 240G), color sensor (240H) (e.g., RGB (red, green, blue) sensor), biometric sensor (240I), temperature/humidity sensor (240J), illuminance sensor (240K), or UV (ultra violet) ) It may include at least one of the sensors 240M. Additionally or alternatively, the sensor module 240 may include, for example, an e-nose sensor, an electromyography (EMG) sensor, an electroncpalogram (EEG) sensor, an electrocardiogram (ECG) sensor, It may include an infrared (IR) sensor, an iris sensor, and/or a fingerprint sensor. The sensor module 240 may further include a control circuit for controlling at least one or more sensors included therein. In some embodiments, the electronic device 201 further includes a processor configured to control the sensor module 240 as part of the processor 210 or separately, while the processor 210 is in a sleep state, The sensor module 240 can be controlled.

The input device 250 may include, for example, a touch panel 252, a (digital) pen sensor 254, a key 256, or an ultrasonic input device 258. The touch panel 252 may use at least one of, for example, a capacitive type, a pressure sensitive type, an infrared type, or an ultrasonic type. In addition, the touch panel 252 may further include a control circuit. The touch panel 252 may further include a tactile layer to provide a tactile reaction to a user. The (digital) pen sensor 254 may be, for example, a part of a touch panel or may include a separate recognition sheet. The key 256 may include, for example, a hardware button, an optical key, or a keypad. The ultrasonic input device 258 may detect ultrasonic waves generated by an input tool through a microphone (for example, the microphone 288), and check data corresponding to the sensed ultrasonic waves.

The display 260 (eg, the display 160) may include a panel 262, a hologram device 264, a projector 266, and/or a control circuit for controlling them. The panel 262 may be implemented to be flexible, transparent, or wearable, for example. The panel 262 may include the touch panel 252 and one or more modules. According to an embodiment, the panel 262 may include a pressure sensor (or force sensor) capable of measuring the intensity of pressure for a user's touch. The pressure sensor may be implemented integrally with the touch panel 252 or may be implemented as one or more sensors separate from the touch panel 252. The hologram device 264 may show a three-dimensional image in the air using interference of light. The projector 266 may project light onto a screen to display an image. The screen may be located inside or outside the electronic device 201, for example. The interface 270 may include, for example, an HDMI 272, a USB 274, an optical interface 276, or a D-subminiature (D-sub) 278. The interface 270 may be included in, for example, the communication interface 170 shown in FIG. 1. Additionally or alternatively, the interface 270 may include, for example, a mobile high-definition link (MHL) interface, an SD card/multi-media card (MMC) interface, or an infrared data association (IrDA) standard interface. have.

The audio module 280 may bidirectionally convert sound and electrical signals, for example. At least some components of the audio module 280 may be included in, for example, the input/output interface 145 illustrated in FIG. 1. The audio module 280 may process sound information input or output through, for example, a speaker 282, a receiver 284, earphones 286, or a microphone 288. The camera module 291 is, for example, a device capable of photographing still images and moving pictures, and according to an embodiment, one or more image sensors (eg, a front sensor or a rear sensor), a lens, an image signal processor (ISP) , Or a flash (eg, LED or xenon lamp). The power management module 295 may manage power of the electronic device 201, for example. According to an embodiment, the power management module 295 may include a power management integrated circuit (PMIC), a charger IC, or a battery or fuel gauge. The PMIC may have a wired and/or wireless charging method. The wireless charging method includes, for example, a magnetic resonance method, a magnetic induction method, or an electromagnetic wave method, and may further include an additional circuit for wireless charging, such as a coil loop, a resonance circuit, or a rectifier. have. The battery gauge may measure the remaining amount of the battery 296, voltage, current, or temperature during charging. The battery 296 may include, for example, a rechargeable cell and/or a solar cell.

The indicator 297 may display a specific state of the electronic device 201 or a part thereof (eg, the processor 210), for example, a booting state, a message state, or a charging state. The motor 298 may convert an electrical signal into mechanical vibration, and may generate vibration or a haptic effect. The electronic device 201 is a mobile TV supporting device capable of processing media data according to standards such as digital multimedia broadcasting (DMB), digital video broadcasting (DVB), or mediaFlo ^™. : GPU). Each of the constituent elements described in this document may be composed of one or more components, and the name of the constituent element may vary according to the type of electronic device. In various embodiments, the electronic device (for example, the electronic device 201) is composed of a single entity by omitting some components, further including additional components, or by combining some of the components. The previous functions of the corresponding components can be performed in the same way.

In various embodiments of the present disclosure, the electronic device 201 (or the electronic device 101) may include a housing including a front surface, a rear surface, and side surfaces surrounding a space between the front surface and the rear surface. The touch screen display (for example, the display 260) is disposed in the housing and may be exposed through the front surface. The microphone 288 is disposed in the housing and may be exposed through a portion of the housing. At least one speaker 282 is disposed in the housing and may be exposed through another portion of the housing. A hardware button (eg, the key 256) may be disposed on another part of the housing or may be set to be displayed on the touch screen display. The wireless communication circuit (for example, the communication module 220) may be located in the housing. The processor 210 (or processor 120) is located in the housing and may be electrically connected to the touch screen display, the microphone 288, the speaker 282, and the wireless communication circuit. The memory 230 (or memory 130) is located in the housing and may be electrically connected to the processor 210.

In various embodiments of the present invention, the memory 230 is set to store a first application program including a first user interface for receiving a text input, and the memory 230, when executed, the The processor 210 stores instructions that cause the first operation and the second operation to be performed, and the first operation is performed through the button while the first user interface is not displayed on the touch screen display. Receiving a first type of user input and after receiving the first type of user input, receiving a first user utterance through the microphone 288, automatic speech recognition (ASR) and intelligence The intelligent system provides first data on the first user utterance to an external server including an intelligence system, and after providing the first data, in response to the first user utterance from the external server Receiving at least one command to perform the task generated by, and the second operation, receiving the first user input through the button while the first user interface is displayed on the touch screen display, , After receiving the first type of user input, receiving a second user utterance through the microphone 288, providing second data on the second user utterance to the external server, and the second After providing the data, the server receives data on the text generated by the automatic speech recognition from the second user utterance, but does not receive the command generated by the intelligent system, and the first user You can enter the text on the interface.

In various embodiments of the present invention, the button may include a physical key positioned on the side of the housing.

In various embodiments of the present invention, the first type of user input is after pressing the button once, pressing the button twice, pressing the button three times, pressing the button once, and then pressing the button once. It may be one of press hold, or two presses and press hold for the button.

In various embodiments of the present invention, the instructions may further cause the processor to display the first user interface together with a virtual keyboard. The button may not be part of the virtual keyboard.

In various embodiments of the present invention, the instructions further allow the processor 210 to receive, from the external server, data for text generated by ASR from the first user utterance in the first operation. Can cause.

In various embodiments of the present disclosure, the first application program may include at least one of a note application program, an email application program, a web browser application program, and a calendar application program.

In various embodiments of the present invention, the first application program includes a message application, and the instructions include, when the processor 210 inputs the text and the selected time period exceeds, the wireless communication circuit It may further cause the text entered automatically to be transmitted through.

In various embodiments of the present invention, the instructions further cause the processor 210 to perform a third operation, and the third operation may be performed while displaying the first user interface on the touch screen display. , After receiving a second type of user input through the button, and after receiving the second type of user input, a third user utterance is received through the microphone, and the third user utterance is transmitted to the external server. After providing third data for and after providing the third data, at least one command for performing a task generated by the intelligent system in response to the third user utterance may be received from the external server. have.

In various embodiments of the present invention, the instructions further cause the processor 210 to perform a fourth operation, and the fourth operation may include not displaying the first user interface on the touch screen display. On the way, receiving the second type of user input through the button, after receiving the second type of user input, receiving a fourth user utterance through the microphone 288, and the fourth user utterance Provides the fourth data on the external server to the external server, and after providing the fourth data, in response to the fourth user utterance, at least one command for performing the task generated by the intelligent system is sent to the After receiving from an external server, receiving a fifth user utterance through the microphone, providing fifth data on the fifth user utterance to the external server, and providing the fifth data, the fifth user utterance 5 In response to a user's utterance, at least one command for performing a task generated by the intelligent system may be received from the external server.

In various embodiments of the present invention, the user input of the first type and the user input of the second type are different from each other, and the button is pressed once, the button is pressed twice, and the button is pressed three times. , It may be selected from one of a press hold for the button after one press, or a press hold for the button twice and a press hold.

In various embodiments of the present invention, the memory 230 is further configured to store a second application program including a second user interface for receiving a text input, and the instructions are, when executed, the processor ( 210) further causes the third operation to be performed, and the third operation receives the first type of user input through the button while displaying the second user interface, and the first type of user After receiving the input, receiving a third user utterance through the microphone, providing third data on the third user utterance to the external server, and after providing the third data, the external While receiving data on the text generated by the ASR from the third user utterance from the server, not receiving the command generated by the intelligent system, inputting the text into the second user interface, and the text When is input and the selected time period exceeds, the input text may be automatically transmitted through the wireless communication circuit.

In various embodiments of the present invention, the memory 230 is set to store a first application program including a first user interface for receiving a text input, and the memory 230, when executed, the The processor 210 stores instructions that cause the first operation and the second operation to be performed, and the first operation receives a first type of user input through the button, and the first type of user input After receiving, the first user utterance is received through the microphone 288 and is an external server including an automatic speech recognition (ASR) and an intelligence system, and the first user utterance Provides first data for and, after providing the first data, receives from the external server at least one command for performing a task generated by the intelligent system in response to the first user utterance In the second operation, a second type of user input is received through the button, and after receiving the second type of user input, a second user utterance is received through the microphone 288, Providing second data on the second user utterance to the external server, and after providing the second data, while receiving data on the text generated by ASR from the second user utterance from the server , The command generated by the intelligent system is not received, and the text may be input to the first user interface.

In various embodiments of the present disclosure, the instructions may further cause the processor 210 to display the first user interface together with a virtual keyboard, and the button may not be part of the virtual keyboard.

In various embodiments of the present invention, the instructions further cause the processor 210 to receive data on the text generated by the ASR from the first user utterance within the first operation from the external server. can do.

In various embodiments of the present disclosure, the first application program may include at least one of a note application program, an email application program, a web browser application program, and a calendar application program.

In various embodiments of the present invention, the first application program includes a message application, and the instructions include, when the processor 210 inputs the text and the selected time period exceeds, the wireless communication circuit It may further cause the text entered automatically to be transmitted through.

In various embodiments of the present disclosure, the instructions may further cause the processor 210 to perform the first operation independently of the display on the display of the first user interface.

In various embodiments of the present invention, the instructions are performed by the processor 210 when the electronic device is in a locked state or the touch screen display is turned off. Can cause more to do.

In various embodiments of the present disclosure, the instructions may further cause the processor 210 to perform the second operation while displaying the first user interface on the touch screen display.

In various embodiments of the present invention, the memory 230, when executed, the processor 210, receives the user speech through the microphone 288, automatic speech recognition (automatic speech recognition (ASR)) or An external server that performs at least one of natural language understanding (NLU), and provides understanding of the natural language with respect to the text obtained by performing the ASR on the data on the user utterance together with the data on the user utterance. Transmitting information related to whether or not to perform, and if the information indicates that the natural language understanding is not to be performed, the text for the data on the user utterance is received from the external server, and the information is used to perform the natural language understanding. If indicated, an instruction for causing to receive an instruction obtained as a result of performing the natural language understanding on the text from the external server may be stored.

3 is a block diagram of a program module according to various embodiments. According to an embodiment, the program module 310 (for example, the program 140) is an operating system that controls resources related to an electronic device (for example, the electronic device 101) and/or various applications running on the operating system ( Example: The application program 147) may be included. The operating system may include, for example, Android ^TM , iOS ^TM , Windows ^TM , Symbian ^TM , Tizen ^TM , or Bada ^TM . 3, the program module 310 includes a kernel 320 (eg, kernel 141), middleware 330 (eg, middleware 143), (API 360) (eg, API 145). ), and/or an application 370 (eg, an application program 147). At least a part of the program module 310 is preloaded on an electronic device, or an external electronic device (eg, an electronic device ( 102, 104), server 106, etc.).

The kernel 320 may include, for example, a system resource manager 321 and/or a device driver 323. The system resource manager 321 may control, allocate, or recover system resources. According to an embodiment, the system resource manager 321 may include a process management unit, a memory management unit, or a file system management unit. The device driver 323 may include, for example, a display driver, a camera driver, a Bluetooth driver, a shared memory driver, a USB driver, a keypad driver, a WiFi driver, an audio driver, or an inter-process communication (IPC) driver. . The middleware 330, for example, provides a function commonly required by the application 370, or provides various functions through the API 360 so that the application 370 can use limited system resources inside the electronic device. It can be provided as an application 370. According to an embodiment, the middleware 330 is a runtime library 335, an application manager 341, a window manager 342, a multimedia manager 343, a resource manager 344, a power manager 345, a database manager ( 346), a package manager 347, a connectivity manager 348, a notification manager 349, a location manager 350, a graphic manager 351, and a security manager 352.

The runtime library 335 may include, for example, a library module used by a compiler to add a new function through a programming language while the application 370 is being executed. The runtime library 335 may perform input/output management, memory management, or arithmetic function processing. The application manager 341 may manage the life cycle of the application 370, for example. The window manager 342 may manage GUI resources used on the screen. The multimedia manager 343 may identify a format required for playing media files and perform encoding or decoding of a media file using a codec suitable for the corresponding format. The resource manager 344 may manage the source code of the application 370 or a space of the memory. The power manager 345 may manage, for example, capacity or power of a battery and provide power information necessary for the operation of the electronic device. According to an embodiment, the power manager 345 may interwork with a basic input/output system (BIOS). The database manager 346 may create, search, or change a database to be used in the application 370, for example. The package manager 347 may manage installation or update of an application distributed in the form of a package file.

The connectivity manager 348 may manage a wireless connection, for example. The notification manager 349 may provide, for example, an event such as an arrival message, an appointment, and a proximity notification to the user. The location manager 350 may manage location information of an electronic device, for example. The graphic manager 351 may manage, for example, a graphic effect to be provided to a user or a user interface related thereto. The security manager 352 may provide, for example, system security or user authentication. According to an embodiment, the middleware 330 may include a telephony manager for managing a voice or video call function of an electronic device or a middleware module capable of forming a combination of functions of the above-described components. . According to an embodiment, the middleware 330 may provide a module specialized for each type of operating system. The middleware 330 may dynamically delete some of the existing components or add new components. The API 360 is, for example, a set of API programming functions, and may be provided in different configurations depending on the operating system. For example, in the case of Android or iOS, one API set may be provided for each platform, and in the case of Tizen, two or more API sets may be provided for each platform.

The application 370 is, for example, a home 371, a dialer 372, an SMS/MMS 373, an instant message (IM) 374, a browser 375, a camera 376, and an alarm 377. , Contact (378), voice dial (379), email (380), calendar (381), media player (382), album (383), watch (384), healthcare (e.g., measuring exercise or blood sugar) , Or an application that provides environmental information (eg, air pressure, humidity, or temperature information). According to an embodiment, the application 370 may include an information exchange application capable of supporting information exchange between an electronic device and an external electronic device. The information exchange application may include, for example, a notification relay application for delivering specific information to an external electronic device, or a device management application for managing an external electronic device. For example, the notification delivery application may deliver notification information generated by another application of the electronic device to an external electronic device, or may receive notification information from the external electronic device and provide it to a user. The device management application is, for example, a function of an external electronic device that communicates with the electronic device (eg, turn-on/turn-off of the external electronic device itself (or some components) or the brightness (or resolution) of the display. Control), or an application running on an external electronic device may be installed, deleted, or updated. According to an embodiment, the application 370 may include an application (for example, a health management application of a mobile medical device) designated according to a property of an external electronic device. According to an embodiment, the application 370 may include an application received from an external electronic device. At least a portion of the program module 310 may be implemented (eg, executed) in software, firmware, hardware (eg, processor 210), or a combination of at least two or more of them, and a module for performing one or more functions, It may include a program, routine, instruction set, or process.

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4 is a flowchart illustrating a method of searching for and recommending a product by an electronic device (eg, the electronic device 101 of FIG. 1) according to various embodiments.

5 is a diagram illustrating a graphic user interface for searching for a search word or a search image according to various embodiments.

FIG. 6A is a diagram illustrating an embodiment of providing a list of products sold by a device and a list of first recommended products for a search image when a search image is uploaded through a search window, according to various embodiments of the present disclosure.

6B is a diagram illustrating an embodiment of providing a second recommended product list related to a specific product when a user selects a specific product from a first recommended product list according to various embodiments.

According to various embodiments, the electronic device 101 communicates with a user device (eg, the electronic device 102 of FIG. 1) through a communication network, and the user device 102 comprises a plurality of web pages. It may be a shopping mall service providing server that provides a shopping mall-related web site.

In operation 401, according to various embodiments, the electronic device 101 (for example, the processor 120 of FIG. 1) is a search window of the website by the user account logged into the website through the user device 102. It is possible to determine whether the object input to is a search word or a search image.

According to various embodiments, the electronic device 101 (eg, the processor 120 of FIG. 1) may provide a graphic user interface for inputting a search word or a search image. For example, referring to FIG. 5, the graphic user interface 500 may include a search window 510 and a search request button 510a, and additionally, a selectable brand item 520, a selectable price point item ( At least one of 530), a selectable product category item 540, or a selectable color item 550 may be further included. According to an embodiment, when the user device 102 inputs an object for search in the search window 510, the electronic device 101 determines that the input object is a search word 501 (for example,'foodie' as text). ) Or the search image 502 (eg, hoodie image). According to an embodiment, the product may include clothing, footwear, hats, accessories, and the like, which is only an example and is not limited thereto.

In operation 403, according to various embodiments, when the input object corresponds to a search word, the electronic device 101 (eg, the processor 120 of FIG. 1) searches for products related to the search word 501, and Products can be provided. The search word 501 may include at least one text. According to an embodiment, whenever a text is input in real time, a preset character key (eg, a space bar) is input, or when a search request button 510a is pressed, the electronic device 101 Products related to the search word 501 may be searched and the searched product may be provided to the user device 102. Providing a product or providing a product list throughout the specification may mean providing a representative image of the product and summary information about the product (eg, product name, price, rating, manufacturer, shipping cost, etc.).

In operation 405, according to various embodiments, when the input object corresponds to the search image 502, the electronic device 101 (eg, the processor 120 of FIG. 1) is Using the artificial intelligence model, one or more products related to the search image 502 may be searched among a plurality of products registered on the web site. According to an embodiment, the electronic device 101 uses the first artificial intelligence model to provide vector data of a plurality of product images (eg, representative images of each product) registered on a website and a search image 502. By comparing the vector data of, it is possible to classify n product images (where n is a natural number) with a high degree of similarity, and extract products corresponding to the classified product images, so that one or more images related to the search image 502 You can search for products.

According to various embodiments, the first artificial intelligence model may be trained based on augmented data generated by applying at least one of a process of transforming the shape of an image, a process of modifying a color, and a process of adding noise. . Since a lot of data is required for learning the first artificial intelligence model, the electronic device 101 may generate an augmented data set by applying arbitrary image processing such as noise, vertical inversion, and shape transformation based on the product image. For example, the electronic device 101 may generate a shape-modified image such as reducing or rotating the shape of a specific part based on the image of a specific product. Also, the electronic device 101 may change colors to generate a color change image. This includes black-and-white processing and color temperature change. In addition, the electronic device 101 may generate augmented data by performing a process such as inverting the top and bottom or tilting at a specific inclination. Additionally, noise may be added or a blur process may be performed to perform a process in which the outline is not clearly distinguished. In addition, more augmented data may be generated through various methods of image modification processing. The electronic device 101 may use product images and augmented data as training data of the first artificial intelligence model. According to an embodiment, not only product images registered on the website but also images related to products introduced through other channels (such as SNS) may be used as training data of the first artificial intelligence model. As a result of training the first artificial intelligence model using the training data, when a specific image is input as a query, the similarity may be output in the form of a vector. According to an embodiment, the similarity vector of a search image (eg, an image of a specific product) may indicate a similarity between the search image and the comparison target image. According to an embodiment, the first artificial intelligence model may generate a similarity vector based on a search image, and use a convolutional neural network-based image retrieval algorithm for processing the similarity vector.

According to various embodiments, as soon as the user drags the search image 502 into the search window 510, the electronic device 101 displays the search image 502 through a dedicated upload button for the search image 502. Upon uploading, or when the search request button 510a is pressed after dragging/uploading the search image 502, a plurality of products registered on the website using the first artificial intelligence model for similar image search Among them, one or more products related to the search image may be searched.

In operation 407, according to various embodiments, the electronic device 101 (for example, the processor 120 of FIG. 1) is a first item that the user account has already purchased from among one or more products searched using the first artificial intelligence model. A first recommended product list including second products corresponding to a color designated by a user account and a device purchase product list including products may be provided. According to an embodiment, the electronic device 101 may classify a device-selling product list and a first recommended product list from one or more products searched using the first artificial intelligence model. For example, referring to FIG. 6A, when a search image 502 is registered through the search window 510, the electronic device 101 displays a first product 611 that a user account has already purchased from one or more products. (Example: A product), a second product 612 (eg, B product), and a third product 613 (eg, C product), including the product list 610 and the color specified by the user account The first recommended product 621 (for example, product D) corresponding to (for example, black), the second recommended product 622 (for example, product E), and the third recommended product 623 (for example, product G) The first recommended product list 620 including) may be classified. According to an embodiment, the electronic device 101 may select recommended products 620 to be included in the first recommended product list from among the one or more products other than the instrument purchase product list 610. According to an embodiment, the color designated by the user account may be selected by the user account from the color item 550 selectable together with the registration of the search image 502.

According to various embodiments, when no color is designated by the user account, the electronic device 101 (eg, the processor 120 of FIG. 1) excludes the device purchase product list 610 from one or more products. For each product, similarity information (a) between the search image 502 and the representative image of each product, rating information of each product (b), price information of each product (c), or sales volume information of each product ( Based on at least one of d), recommended products to be included in the first recommended product list 620 may be selected. According to an embodiment, the electronic device 101 may select a recommended product by assigning a weight to an evaluation item. For example, the electronic device calculates the equation score = w1*a+w2*b+w3*c+w4*d (however, w1+ The score of each product can be calculated using w2+w3+w4=1), and recommended products can be selected as many as a preset number in the order of the highest score. The weights w1, w2, w3, and w4 may be set by a user account or a website administrator. At this time, before calculating the product score, a, b, c, and d can be normalized so that similarity information (a), rating information (b), price information (c), and sales volume information (d) can be compared. have. According to an embodiment, the device purchase product list 610 may be sorted in the order of the latest purchase date, and the first recommended product list 620 may be sorted in the order of the highest product score. According to an embodiment, the device purchase product list 610 and the first recommended product list 620 may be displayed adjacent to the search window 510.

In operation 409, according to various embodiments, the electronic device 101 (for example, the processor 120 of FIG. 1) selects a specific product from the first recommended product list 620 by a user corresponding to the user account. , Using the second artificial intelligence model trained based on context information at the time the products were purchased on the website and specific context information at the time when a specific product was selected, it is possible to search for third products related to a specific product. have. Context information and specific context information are time information (e.g., morning, evening, dawn, etc.), day of the week information (e.g., Monday to Sunday), season information (e.g., spring to winter), or weather information (e.g., sunny, cloudy , Rain, snow, etc.). According to an embodiment, the second artificial intelligence model may be trained using context information at a time when a product is purchased and other products purchased together with the product as learning data. For example, the second artificial intelligence model includes first context information (eg, Saturday, morning, spring, rain) at the time the product was purchased by the first user, and other products purchased together with the D product 621 (eg. : d1 product, d2 product, d3 product) as training data can be trained. As another example, the second artificial intelligence model includes the second context information (eg, Monday, dawn, autumn, sunny) at the time the E product 622 is purchased by the second user and another product purchased with the E product. Training may be performed using products (eg, e1 products, e2 products, and e3 products) as learning data. According to an embodiment, the second artificial intelligence model may use a convolution neural network (CNN) algorithm.

According to various embodiments, when a user corresponding to a user account selects a specific product from the first recommended product list 620, the electronic device 101 (for example, the processor 120) is trained with the second artificial intelligence. Third products related to a specific product may be searched using the model and specific context information at the time when the specific product is selected. For example, referring to FIG. 6B, when a specific user selects the first recommended product 621 (eg, D product) from the first recommended product list 620, the electronic device 101 By applying the context information (eg, Saturday, morning, spring, rain) at the time 621 and the first recommended product is selected to the second artificial intelligence model, the first related recommended product related to the first recommended product 621 ( 631) (eg, d1 product), a second related recommended product 632 (eg, d2 product), and a third related recommended product 633 (eg, d3 product), and the first recommended product list ( A second recommended product list 630 including a first related recommended product 631, a second related recommended product 632, and a third related recommended product 633 may be provided at a location adjacent to the 620. According to an embodiment, when a specific product is selected by a user account at a time corresponding to specific context information, the second artificial intelligence model includes a plurality of context information and the plurality of context information at the time the specific product is purchased by other users. By comparing the specific context information, the specific context information and a plurality of context information having a predetermined similarity or higher can be classified, and a second recommended product list 630 from among related recommended products corresponding to the classified plurality of context information You can select related recommended products to be included. In this case, the second recommended product list 630 may be arranged and provided in the order of the most purchase.

According to various embodiments, the electronic device 101 may transmit a source code that enables the user device 102 to display a web page to the user device 102, and the user device 102 In response to receiving, it is possible to display a web page through a web browser.

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According to various embodiments, a shopping mall service providing server that processes a request received from a user device, transmits the requested information to the user device, and supports a shopping mall-related web site, is operatively provided with a processor and the processor. Including a connected memory, the memory, when executed, the processor, by a user account logged in to the website through the user device, the object entered in the search box of the website is a search word It determines whether it is a recognition or a search image, and when the object corresponds to the search word, searches for products related to the search word, provides the searched product, and when the object corresponds to a search image, searches for similar images A first artificial intelligence model for searching for one or more products related to the search image among a plurality of products registered on the website, and a first among the one or more products that the user account has already purchased Stores instructions for providing a list of products sold by a device including products and a list of first recommended products including second products corresponding to a color designated by the user account, and the first recommended product list Among the one or more products, the product may be selected from products other than the product list sold, and the list of products sold and the first recommended product list may be displayed adjacent to the bottom of the search window.

According to various embodiments, the first artificial intelligence model uses at least one of a process of transforming the shape of an image, a process of modifying a color, and a process of adding noise as training data. Training, and the first artificial intelligence model may generate a similarity vector based on the search image, and use a convolutional neural network-based image retrieval algorithm for processing the similarity vector. .

According to various embodiments, the instructions include, when the processor selects a specific product from the first recommended product list by the user corresponding to the user account, the context ) Using a second artificial intelligence model trained based on information and specific context information at a time point when the specific product is selected, search for third products related to the specific product, and place it in a location adjacent to the first recommended product list. It is possible to provide a second recommended product list including 3 products.

According to various embodiments, the purchase order product list is sorted in the order of the latest purchase date, and the first recommended product list is sorted in the order of the highest score, and the score is w1*a+w2*b+w3*c+. It is calculated by w4*d (however, w1+w2+w3+w4=1), wherein a represents similarity information between the search image and the representative images of each of the second products, and b represents the second product. 2 indicates rating information of each product, c indicates price information of each of the second products, d indicates sales amount information of each of the second products, and w1, w2, w3, and w4 are It indicates a weight preset by the user account or the administrator of the website, and the second recommended product list may be sorted in the order of the most purchase.

According to various embodiments, the context information and the specific context information may include at least two of time information, day of the week information, season information, or weather information.

According to various embodiments, the second artificial intelligence model is trained using the context information at the time when products are purchased on the website and other products purchased together with the purchased products as learning data, and the second artificial intelligence model is 2 The artificial intelligence model can use a convolution neural network (CNN) algorithm.

The term "module" used in this document includes a unit composed of hardware, software, or firmware, and may be used interchangeably with terms such as, for example, logic, logic blocks, parts, or circuits. The "module" may be an integrally configured component or a minimum unit or a part of which performs one or more functions. "Modules" can be implemented mechanically or electronically, for example, known or future development, application-specific integrated circuit (ASIC) chips, field-programmable gate arrays (FPGAs), or It may include a programmable logic device. At least a part of a device (eg, modules or their functions) or a method (eg, operations) according to various embodiments is a command stored in a computer-readable storage medium (eg, memory 130) in the form of a program module Can be implemented as When the command is executed by a processor (eg, processor 120), the processor may perform a function corresponding to the command. Computer-readable recording media include hard disks, floppy disks, magnetic media (e.g. magnetic tape), optical recording media (e.g. CD-ROM, DVD, magnetic-optical media (e.g. floppy disk)), internal memory, etc. The instruction may include a code generated by a compiler or a code executable by an interpreter A module or program module according to various embodiments may include at least one or more of the above-described components, or , Some may be omitted, or other components may be further included Operations performed by modules, program modules, or other components according to various embodiments may be sequentially, parallel, repetitively or heuristically executed, or at least Some operations may be executed in a different order, omitted, or other operations may be added.

In addition, the embodiments disclosed in this document are presented for description and understanding of the disclosed and technical content, and do not limit the scope of the present disclosure. Accordingly, the scope of the present disclosure should be construed as including all changes or various other embodiments based on the technical idea of the present disclosure.

Claims (5)

In a shopping mall service providing server that processes a request received from a user device, transmits the requested information to the user device, and supports a shopping mall related website,
Processor; And
A memory operatively connected to the processor,
The processor,
It is determined whether or not the object entered in the search box of the website is an image for search by the user account logged in to the website through the user device,
When the object corresponds to a search image, search for one or more products related to the search image among a plurality of products registered on the website using a first artificial intelligence model for similar image search,
Among the one or more products, the user account controls to provide a first recommended product list including a device purchase product list including first products that have been purchased and second products corresponding to a color designated by the user account, and ,
The first recommended product list is selected from products other than the device sold product list among the one or more products, and the device sold product list and the first recommended product list are displayed adjacent to the bottom of the search window,
The first artificial intelligence model,
It is trained using the augmented data generated by applying at least one of a process of transforming the shape of an image, a process of modifying a color, and a process of adding noise as training data,
Generates similarity information based on the search image and the representative image of each of the second products,
Using a CNN-based image retrieval algorithm for processing the similarity information,
The processor,
When a user corresponding to the user account selects a specific product from the first recommended product list, the second artificial intelligence model trained based on context information at the time the products were purchased on the website and the specific product Searching for third products related to the specific product using specific context information at the time the product is selected,
Control to provide a second recommended product list including third products at a location adjacent to the first recommended product list,
The device purchase product list is sorted in the order of the latest purchase date,
[Equation 1]

The first recommended product list is arranged in the order of the highest score, and the score is calculated by Equation 1, and a is the similarity between the search image and the representative image of each of the second products. Information, b indicates rating information of each of the second products, c indicates price information of each of the second products, d indicates sales volume information of each of the second products,
The w1, w2, w3, and w4 denote weights preset by the user account or the administrator of the website,
Each of w1, w2, w3, and w4 has a value that satisfies Equation 2 below,
[Equation 2]

The second recommended product list is sorted in the order of the most purchased,
The second artificial intelligence model,
Training is performed using the context information when products are purchased on the website and other products purchased together with the purchased products as learning data,
Characterized in that using a convolutional neural network (CNN) algorithm,
Shopping mall service providing server. delete delete delete delete

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