KR20240055705A - Method for recommending designated items - Google Patents

Abstract

The designated product recommendation method disclosed in this specification includes determining at least one standard designation item based on input information received from a user electronic device; generating a set of at least one recommended designated item that can be recommended to a user based on the at least one standard designated item; and transmitting the set of at least one recommended designated item to the user electronic device.

Description

{METHOD FOR RECOMMENDING DESIGNATED ITEMS}

This specification relates to a method for recommending designated items.

Recently, as interest in artificial intelligence has increased, a significant part of work is being replaced by artificial intelligence. Intellectual property services are no exception to this phenomenon, and various artificial intelligence technologies are being applied to intellectual property searches and services.

Republic of Korea Patent Publication No. 10-2009-0005684

This specification provides a method for recommending designated items using artificial intelligence and/or machine learning.

The technology disclosed in this specification includes determining at least one standard designation item based on input information received from a user electronic device; generating a set of at least one recommended designated item that can be recommended to a user based on the at least one standard designated item; and transmitting the set of at least one recommended designated item to the user electronic device.

Additionally, the input information may include at least one of industry information related to the user's industry, similar group information, designated products, and designated service industries.

In addition, the step of generating the set of at least one recommended designation item may include a plurality of designation items including a set of at least one designation item included in a plurality of trademark applications that commonly include the at least one reference designation item. extracting information; and generating the at least one set of recommended designated items based on the at least one designated item included in the plurality of designated item information.

In addition, the step of generating the set of at least one recommended designated item based on the at least one designated item commonly included in the plurality of designated item information may include: The designated items may be sorted in descending order based on frequency of appearance, and the set of at least one recommended designated item may be generated in the sorted order.

In addition, the step of generating the set of at least one recommended designated item based on the at least one designated item commonly included in the plurality of designated item information includes at least one set of recommended designated items included in the plurality of designated item information. building a pattern tree storing a set of specified items; and mining the at least one recommended designated item set based on the pattern tree.

Additionally, building the pattern tree may include generating a data structure containing information about nodes and links constituting the pattern tree; extracting a plurality of candidate designation item sets including at least one designation item having an appearance frequency of more than a predetermined degree of support from among at least the designation items included in each trademark application information; Sorting the at least one designated item included in the plurality of candidate designated item sets in descending order based on the frequency of appearance; and constructing the pattern tree based on the plurality of candidate designation item sets including the sorted at least one designation item.

In addition, the step of mining the set of at least one recommended designated item based on the pattern tree may include, for each designated item included in the header table, at least an end portion containing the designated item to be found from the pattern tree. generating conditional pattern base information including a set of one dictionary path; For each designated item included in the header table, constructing a conditional pattern tree including at least one designated item having an appearance frequency higher than or equal to the support level among at least one designated item included in the condition pattern base information; and generating at least one recommended designation item set that is a combination of a subset of the condition pattern tree and each designation item included in the header table.

In addition, the technology disclosed in this specification further includes the step of receiving user mark information including information about the mark of the trademark from the user electronic device, and generating the set of at least one recommended designation item includes: If the user mark information is similar to the mark information for at least one trademark application included in the trademark application, designation items similar to at least one designation item included in the at least one trademark application may be excluded from the set of recommended designation items. You can.

The technology disclosed herein may include a computer program stored on a medium in combination with hardware to execute the above-described designated item recommendation method.

The technology disclosed in this specification includes a communication module; a processor executing instructions; and a computer-readable memory storing a program for executing the instructions in an electronic device, wherein the instructions include: determining at least one standard designation item based on input information received from a user electronic device; generating a set of at least one recommended designated item that can be recommended to a user based on the at least one standard designated item; and instructions for transmitting the set of at least one recommendation item to a user electronic device.

An example technology may use artificial intelligence to search for intellectual property rights based on images.

Exemplary techniques provide a way for users to search for trademark rights associated with a specific image, even if the user does not have expert knowledge of trademark rights.

Exemplary technologies may recommend customized, designated products or designated services to users.

1 is a diagram illustrating an exemplary electronic system.
2 is a block diagram illustrating an example electronic device.
Figure 3 is a block diagram of an esche program module.
4 is a diagram illustrating an exemplary electronic system.
5 is a diagram illustrating functions of an exemplary first server and/or second server.
6 is a diagram illustrating a recognition function of an exemplary first server and/or second server.
7 is a diagram illustrating a matching function and/or a search information generation function of an exemplary first server and/or a second server.
8 is a diagram illustrating a control method of an exemplary electronic system.
9 is a diagram illustrating a control method of an exemplary electronic system.
Figure 10 is a diagram showing an exemplary designated item recommendation method.
11 is a diagram illustrating a method for generating an exemplary set of recommended designated items.
12 is a diagram illustrating another method of generating an example set of recommended designations.
Figure 13 is a diagram illustrating another method of generating an example set of recommended designations.
14 is a diagram illustrating a method for building an example pattern tree.
Figure 15 is another diagram illustrating a method for building an example pattern tree.
Figure 16 is a diagram illustrating a method for mining an example set of recommended designated items.
Figure 17 is another diagram illustrating a method for mining an example set of recommended designated items.

It should be noted that the technical terms used in this specification are only used to describe specific embodiments and are not intended to limit the spirit of the technology disclosed in this specification. In addition, the technical terms used in this specification, unless specifically defined in a different way in this specification, should be interpreted as meanings generally understood by those skilled in the art in the field to which the technology disclosed in this specification belongs. It should not be interpreted in a very comprehensive sense or in an excessively reduced sense. In addition, if the technical term used in this specification is an incorrect technical term that does not accurately express the idea of the technology disclosed in this specification, it is a technical term that can be correctly understood by a person with ordinary knowledge in the field to which the technology disclosed in this specification belongs. It should be understood and replaced with . Additionally, general terms used in this specification should be interpreted as defined in the dictionary or according to the context, and should not be interpreted in an excessively reduced sense.

Terms containing ordinal numbers, such as first, second, etc., used in this specification may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, a first component may be referred to as a second component without departing from the scope of the present specification, and similarly, the second component may also be referred to as a first component.

Hereinafter, embodiments disclosed in the present specification will be described in detail with reference to the attached drawings. However, identical or similar components will be assigned the same reference numbers regardless of reference numerals, and duplicate descriptions thereof will be omitted.

Additionally, when describing the technology disclosed in this specification, if it is determined that a detailed description of a related known technology may obscure the gist of the technology disclosed in this specification, the detailed description will be omitted. In addition, it should be noted that the attached drawings are only intended to facilitate easy understanding of the spirit of the technology disclosed in this specification, and should not be construed as limiting the spirit of the technology by the attached drawings.

1 is a diagram illustrating an exemplary electronic system.

Referring to FIG. 1 , the electronic system 100 may include at least one electronic device 101, 102, 104, a server 106, and/or a network 162.

The electronic device according to the present disclosure may be a device that includes a communication function. For example, electronic devices include smart phones, tablet personal computers, mobile phones, video phones, e-book readers, desktop personal computers, and laptop PCs. (laptop personal computer), netbook computer, personal digital assistant (PDA), portable multimedia player (PMP), MP3 player, mobile medical device, camera, or wearable device (e.g. electronic It may include at least one of a head-mounted device (HMD) such as glasses, an electronic clothing, an electronic bracelet, an electronic necklace, an electronic accessory, an electronic newspaper, or a smartwatch.

According to some embodiments, the electronic device may be a smart home appliance with a communication function. Smart home appliances, for example, include electronic devices such as televisions, DVD (digital video disk) players, audio systems, refrigerators, air conditioners, vacuum cleaners, ovens, microwave ovens, washing machines, air purifiers, set-top boxes, and TVs. It may include at least one of a box (e.g., Samsung HomeSyncTM, Apple TVTM, or Google TVTM), game consoles, electronic dictionaries, electronic keys, camcorders, or electronic picture frames.

According to some embodiments, the electronic device may include various medical devices (e.g., magnetic resonance angiography (MRA), magnetic resonance imaging (MRI), computed tomography (CT), imaging device, ultrasound machine, etc.), navigation device, GPS receiver ( global positioning system receiver, EDR (event data recorder), FDR (flight data recorder), automotive infotainment devices, marine electronic equipment (e.g. marine navigation system and gyro compass, etc.), avionics, security It may include at least one of a device, a vehicle head unit, an industrial or household robot, a financial institution's automatic teller machine (ATM), or a store's point of sales (POS).

According to some embodiments, the electronic device may be furniture or part of a building/structure containing a communication function, an electronic board, an electronic signature receiving device, a projector, or various measurement devices. It may include at least one of the following devices (e.g. water, electricity, gas, or radio wave measuring devices, etc.). The electronic device according to the present disclosure may be one or a combination of more than one of the various devices described above. Additionally, the electronic device according to the present disclosure may be a flexible device. Additionally, it is obvious to those skilled in the art that the electronic device according to the present disclosure is not limited to the above-mentioned devices.

The electronic device 101 may include a bus 110, a processor 120, a memory 130, an input/output interface 150, a display 160, and/or a communication interface 170.

At this time, the network 162 may include a wired LAN, a cable channel network, and all possible wireless connection methods.

In some embodiments, the electronic device 101 may omit at least one of the components or may additionally include another component.

For example, the bus 110 may include a circuit that connects the components 110 to 170 to each other and transmits communication (eg, control messages and/or data) between the components.

The processor 120 may include one or more of a central processing unit (CPU), an application processor (AP), or a communication processor (CP). For example, the processor 120 may perform operations or data processing related to control and/or communication of at least one other component of the electronic device 101.

The memory 130 may include volatile and/or non-volatile memory. For example, the memory 130 may store commands or data related to at least one other component of the electronic device 101. According to one embodiment, the memory 130 may store software and/or programs 140. The program 140 includes, for example, a kernel 141, middleware 143, an application programming interface (API) 145, and/or an application program (or “application”) 147, etc. may include. At least a portion of the kernel 141, the middleware 143, or the API 145 may be referred to as an operating system (OS).

The kernel 141 is, for example, a system used to execute operations or functions implemented in other programs (e.g., the middleware 143, the API 145, or the application program 147). Resources (eg, the bus 110, the processor 120, or the memory 130, etc.) can be controlled or managed. Additionally, the kernel 141 can control or manage system resources by accessing individual components of the electronic device 101 in the middleware 143, the API 145, or the application program 147. An interface can be provided.

The middleware 143, for example, may perform an intermediary role so that the API 145 or the application program 147 can communicate with the kernel 141 to exchange data.

Additionally, the middleware 143 may process one or more work requests received from the application program 147 according to priority. For example, the middleware 143 may include system resources (e.g., the bus 110, the processor 120, or the memory 130) of the electronic device 101 in at least one of the application programs 147. etc.) can be given priority for use. For example, the middleware 143 may perform scheduling or load balancing for the one or more work requests by processing the one or more work requests according to the priority assigned to the at least one work request.

The API 145 is, for example, an interface for the application 147 to control functions provided by the kernel 141 or the middleware 143, for example, file control, window control, video It may include at least one interface or function (e.g., command) for processing or character control.

For example, the input/output interface 150 may serve as an interface that can transmit commands or data input from a user or another external device to other component(s) of the electronic device 101. Additionally, the input/output interface 150 may output commands or data received from other component(s) of the electronic device 101 to the user or other external device.

The display 160 may be, for example, a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light-emitting diode (OLED) display, or a microelectromechanical device. It may include a Micro-Electro-Mechanical Systems (MEMS) display or an electronic paper display. For example, the display 160 may display various contents (e.g., text, images, videos, icons, or symbols) to the user. 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.

For example, the communication interface 170 may establish communication between the electronic device 101 and an external device (eg, the electronic device 102, the electronic device 104, or the server 106). For example, the communication interface 170 may be connected to the network 162 through wireless or wired communication to communicate with an external device (eg, the electronic device 104 or the server 106).

The wireless communication may include, for example, cellular communication. The cellular communication includes, for example, long-term evolution (LTE), LTE Advance (LTE-A), code division multiple access (CDMA), wideband CDMA (WCDMA), universal mobile telecommunications system (UMTS), and wireless WiBro (WiBro). It may include at least one of Broadband), or GSM (Global System for Mobile Communications). Additionally, the wireless communication may include, for example, short-range communication 164. The short-range communication 164 may include, for example, at least one of wireless fidelity (Wi-Fi), Bluetooth, or nearfield communication (NFC). Additionally, the wireless communication may include a global positioning system (GPS).

The wired communication may include, for example, at least one of universal serial bus (USB), high definition multimedia interface (HDMI), recommended standard 232 (RS-232), or plain old telephone service (POTS). The network 162 may include at least one of a telecommunications network, for example, a computer network (eg, LAN or WAN), the Internet, or a telephone network.

Each of the electronic device 102 and the electronic device 104 may be the same or different type of device from the electronic device 101. According to one embodiment, the server 106 may include one or more groups of servers. According to various embodiments, all or part of the operations executed in the electronic device 101 may be executed in one or more external devices (eg, the electronic devices 102 and 104, or the server 106). According to one embodiment, when the electronic device 101 is to perform a certain function or service automatically or upon request, the electronic device 101 executes the function or service on its own instead of or additionally, At least some functions related thereto may be requested from an external device (eg, the electronic devices 102 and 104, or the server 106). An external device (e.g., electronic device 102, 104, or server 106) may execute the requested function or additional function and transmit the result to the electronic device 101. The electronic device 101 may provide the requested function or service by processing the received result as is or additionally. For this purpose, for example, cloud computing, distributed computing, or client-server computing technologies may be used.

2 is a block diagram illustrating an example electronic device.

For example, the electronic device 201 may include all or part of the electronic device 101 shown in FIG. 1 . The electronic device 200 includes one or more processors (e.g., application processors (APs)) 210, a communication module 220, the 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 processor 210, for example, can run an operating system or application program to control a number of hardware or software components connected to the processor 210, and can perform various data processing and calculations. The processor 210 may be implemented, for example, as a system on chip (SoC). According to one embodiment, the processor 210 may further include a graphic processing unit (GPU) and/or an image signal processor. The processor 210 may include at least some of the components shown in FIG. 2 (eg, cellular module 221). The processor 210 loads and processes commands or data received from at least one of the other components (e.g., non-volatile memory) into the volatile memory, and stores various data in the non-volatile memory. You can.

The communication module 220 may have the same or similar configuration as the communication interface 170 of FIG. 1. The communication module 220 includes, for example, a cellular module 221, a Wi-Fi module 223, a Bluetooth module 225, a GPS module 227, an NFC module 228, and a radio frequency (RF) module. It may include (229).

For example, the cellular module 221 may provide voice calls, video calls, text services, or Internet services through a communication network. According to one embodiment, the cellular module 221 may use a subscriber identification module (eg, SIM card) 224 to distinguish and authenticate the electronic device 201 within a communication network. According to one embodiment, the cellular module 221 may perform at least some of the functions that the processor 210 can provide. According to one embodiment, the cellular module 221 may include a communication processor (CP).

Each of the Wi-Fi module 223, the Bluetooth module 225, the GPS module 227, or the NFC module 228 includes, for example, a processor for processing data transmitted and received through the corresponding module. It can be included. According to some embodiments, at least some (e.g., two) of the cellular module 221, the Wi-Fi module 223, the Bluetooth module 225, the GPS module 227, or the NFC module 228 above) may be included in one integrated chip (IC) or IC package.

For example, the RF module 229 may transmit and receive communication signals (eg, RF signals). The RF module 229 may include, for example, a transceiver, a power amp module (PAM), a frequency filter, a low noise amplifier (LNA), etc. Additionally, the RF module 229 may further include components for transmitting and receiving electromagnetic waves in free space in wireless communication, for example, conductors or wires. In Figure 2, the cellular module 221, the Wi-Fi module 223, the Bluetooth module 225, the GPS module 227, or the NFC module 228 share one RF module 229 with each other. However, according to one embodiment, at least one of the cellular module 221, the Wi-Fi module 223, the Bluetooth module 225, the GPS module 227, or the NFC module 228 One can transmit and receive RF signals through a separate RF module.

The SIM card 224 may include, for example, a card including a subscriber identification module and/or an embedded SIM, and may include unique identification information (e.g., integrated circuit card identifier (ICCID)) or It may contain subscriber information (e.g. IMSI (international mobile subscriber identity)).

The memory 230 (eg, memory 130) may include, for example, an internal memory 232 or an external memory 234. The built-in memory 232 may include, for example, volatile memory (e.g., dynamic RAM (DRAM), static RAM (SRAM), or synchronous dynamic RAM (SDRAM), etc.), non-volatile memory (e.g., : OTPROM (one time programmable ROM), PROM (programmable ROM), EPROM (erasable and programmable ROM), EEPROM (electrically erasable and programmable ROM), mask ROM, flash ROM, flash memory (e.g. NAND flash or NOR flash, etc.) , a hard drive, or a solid state drive (SSD).

The external memory 234 may be a flash drive, for example, compact flash (CF), secure digital (SD), micro secure digital (Micro-SD), mini secure digital (Mini-SD), xD ( extreme digital), MMC (MultiMediaCard), or memory stick may be further included. The external memory 234 may be functionally and/or physically connected to the electronic device 201 through various interfaces.

For example, the sensor module 240 may measure a physical quantity or detect an operating state of the electronic device 201 and convert the measured or sensed information into an electrical signal. The sensor module 240 includes, for example, a proximity sensor 241, a gyro sensor 242, an illumination sensor 243, a magnetic sensor 244, an acceleration sensor 245, a grip sensor 246, and a gesture sensor. It may include at least one of (247), or biometric sensor (248). Additionally or alternatively, the sensor module 240 may include, for example, an olfactory sensor (E-nose sensor), an electromyography sensor (EMG sensor), an electroencephalogram sensor (EEG sensor), or an electrocardiogram sensor (ECG sensor). ), an IR (infrared) sensor, an iris sensor, and/or a fingerprint sensor. The sensor module 240 may further include a control circuit for controlling at least one sensor 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, so that the processor 210 is in a sleep state. While in, the sensor module 240 can be controlled.

The input device 250 may include, for example, a touch panel 252, a (digital) pen sensor 254, or a key 256. For example, the touch panel 252 may use at least one of a capacitive type, a resistive type, an infrared type, or an ultrasonic type. Additionally, the touch panel 252 may further include a control circuit. The touch panel 252 may further include a tactile layer to provide a tactile response to the user.

For example, the pen sensor 254 may be part of a touch panel or may include a separate recognition sheet. The keys 256 may include, for example, physical buttons, optical keys, or keypads.

The display 260 (eg, display 160) may include a panel 262, a hologram device 264, or a projector 266. The panel 262 may include the same or similar configuration as the display 160 of FIG. 1 . For example, the panel 262 may be implemented as flexible, transparent, or wearable. The panel 262 may be composed of one module with the touch panel 252. The hologram device 264 can display a three-dimensional image in the air using light interference. The projector 266 can display an image by projecting light onto the screen. The screen may be located, for example, inside or outside the electronic device 201. According to one embodiment, the display 260 may further include a control circuit for controlling the panel 262, the hologram device 264, or the projector 266.

The interface 270 may include, for example, a high-definition multimedia interface (HDMI) or a universal serial bus (USB). For example, the interface 270 may be included in the communication interface 170 shown in FIG. 1. Additionally and alternatively, the interface 270 may be, for example, an optical interface, a D-subminiature (D-sub) interface, a mobile high-definition link (MHL) interface, or a secure (SD) interface. digital) card/MMC (multi-media card) interface, or IrDA (infrared data association) standard interface.

For example, the audio module 280 can bidirectionally convert sound and electrical signals. At least some components of the audio module 280 may be included in, for example, the input/output interface 150 shown in FIG. 1. The audio module 280 may process sound information input or output through, for example, a speaker 282, a receiver 284, an earphone 286, or a microphone 288.

The camera module 291 is, for example, a device capable of capturing still images and moving images. According to one embodiment, the camera module 291 includes one or more image sensors (e.g., a front sensor or a rear sensor), a lens, and an image signal processor (ISP). ), or a flash (e.g., LED or xenon lamp, etc.).

For example, the power management module 295 may manage the power of the electronic device 201. According to one embodiment, the power management module 295 may include a power management integrated circuit (PMIC), a charger integrated circuit (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, for example, a coil loop, a resonance circuit, or a rectifier. there is. For example, 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 battery and/or a solar battery.

The indicator 297 may display a specific state of the electronic device 201 or a part thereof (e.g., the processor 210), for example, a booting state, a message state, or a charging state. The motor 298 can convert electrical signals into mechanical vibration and generate vibration or haptic effects. Although not shown, the electronic device 201 may include a processing unit (eg, GPU) to support mobile TV. A processing device for supporting mobile TV may, for example, process media data according to standards such as digital multimedia broadcasting (DMB), digital video broadcasting (DVB), or MediaFlo ^™ .

Each of the components described in this document may be composed of one or more components, and the names of the components may vary depending on the type of electronic device. In various embodiments, an electronic device may be configured to include at least one of the components described in this document, and some components may be omitted or may further include other additional components. Additionally, some of the components of the electronic device according to various embodiments are combined to form a single entity, so that the functions of the corresponding components before being combined can be performed in the same manner.

3 is a block diagram of an example program module.

According to one embodiment, the program module 300 (e.g., program 140) is an operating system (OS) and/or operating system that controls resources related to an electronic device (e.g., the electronic device 101). It may include various applications (eg, the application program 147) running on the system. Operating systems include, for example, Android, iOS, Windows, Symbian, RTOS (Realtime OS), Linux, webOS, and P2P (Peer to Peer)-based It can be an OS with features, or Tizen, etc.

The program module 300 may include a kernel 320, middleware 330, an application programming interface (API) 360, and/or an application 370. At least a portion of the program module 300 may be preloaded on an electronic device or downloaded from an external electronic device (eg, external electronic devices 102, 104, server 106, etc.).

The kernel 320 (eg, the kernel 141) may include, for example, a system resource manager 321 and/or a device driver 323. The system resource manager 321 can control, allocate, or retrieve system resources. According to one 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, camera driver, Bluetooth driver, shared memory driver, USB driver, keypad driver, Wi-Fi driver, audio driver, or IPC (inter process communication) driver. You can.

For example, the middleware 330 provides functions commonly required by the application 370, or the API 360 allows the application 370 to efficiently use limited system resources inside the electronic device. ), various functions can be provided to the application 370. According to one embodiment, the middleware 330 (e.g., middleware 143) includes a runtime library 335, an application manager 341, a window manager 342, and a multimedia manager. manager (343), resource manager (344), power manager (345), database manager (346), package manager (347), connectivity manager (connectivity) manager (348), notification manager (349), location manager (350), graphic manager (351), or security manager (352). It can be included.

For example, the runtime library 335 may include a library module used by a compiler to add new functions through a programming language while the application 370 is being executed. The runtime library 335 may perform functions such as input/output management, memory management, or arithmetic functions.

For example, the application manager 341 may manage the life cycle of at least one application among the applications 370. The window manager 342 can manage GUI resources used on the screen. The multimedia manager 343 can identify the format required for playing various media files and perform encoding or decoding of the media file using a codec suitable for the format. The resource manager 344 may manage resources such as source code, memory, or storage space of at least one of the applications 370.

The power manager 345, for example, operates in conjunction with a basic input/output system (BIOS) to manage the battery or power and provide power information necessary for the operation of electronic devices. . The database manager 346 can create, search, or change a database to be used in at least one of the applications 370. The package manager 347 can manage the installation or update of applications distributed in the form of package files.

The connection manager 348 can manage wireless connections, such as Wi-Fi or Bluetooth. The notification manager 349 can display or notify events such as arrival messages, appointments, and proximity notifications in a way that does not disturb the user. The location manager 350 can manage location information of the electronic device. The location information expressed in the present invention is not only GPS (Global Positioning System) information, but also acceleration sensor information, gyro sensor information, indoor coordinate sensor information for LBS (Location Based Service), location information estimated based on a network, and information using a communication network. It may include location information and other location information related to movement received from a new electronic device. The graphics manager 351 can manage graphic effects or user interfaces related thereto to be provided to the user. The security manager 352 can provide various security functions necessary for system security or user authentication. According to one embodiment, when an electronic device (e.g., the electronic device 101) includes a phone function, the middleware 330 includes a telephony manager for managing the voice or video call function of the electronic device. More may be included.

The middleware 330 may include a middleware module that forms a combination of various functions of the above-described components. The middleware 330 may provide specialized modules for each type of operating system to provide differentiated functions. Additionally, the middleware 330 may dynamically delete some existing components or add new components.

The API 360 (eg, API 145) 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 can be provided for each platform, and in the case of Tizen, two or more API sets can be provided for each platform.

The application 370 (e.g., the application program 147) includes, for example, home 371, dialer 372, SMS/MMS 373, instant message (IM) 374, Browser (375), Camera (376), Alarm (377), Contacts (378), Voice Dial (379), Email (380), Calendar (381), Media Player (382), Album (383), or Clock ( 384), one or more applications that can perform functions such as health care (e.g., measuring the amount of exercise or blood sugar, etc.), or providing environmental information (e.g., providing barometric pressure, humidity, or temperature information). It can be included.

According to one embodiment, the application 370 is an application (hereinafter described) that supports information exchange between an electronic device (e.g., the electronic device 101) and an external device (e.g., the electronic devices 102 and 104). For convenience, an “information exchange application”) may be included. The information exchange application may include, for example, a notification relay application for delivering specific information to an external device, or a device management application for managing an external device.

For example, the notification delivery application transmits notification information generated by another application of the electronic device (e.g., SMS/MMS application, email application, health management application, or environmental information application, etc.) to an external device (e.g., electronic device (102) , 104)). Additionally, the notification delivery application may, for example, receive notification information from an external electronic device and provide it to the user.

The device management application may, for example, perform at least one function of an external device (e.g., electronic devices 102, 104) in communication with an electronic device (e.g., turn-on/turn-on of the external device itself (or some of its components)). Turn-off or adjust display brightness (or resolution)), manage (e.g. install, delete, or update) applications running on external devices or services provided by external devices (e.g. call services or message services, etc.) You can.

According to one embodiment, the application 370 may include an application (e.g., a health management application of a mobile medical device, etc.) specified according to the properties of an external device (e.g., the electronic devices 102 and 104). According to one embodiment, the application 370 may include an application received from an external device (eg, the server 106 or the electronic devices 102 and 104). ) may include a preloaded application or a third party application that can be downloaded from a server. The names of the components of the program module 310 according to the illustrated embodiment are those of the operating system. It may vary depending on the type.

According to various embodiments, at least a portion of the program module 310 may be implemented as software, firmware, hardware, or a combination of at least two of these. At least a portion of the program module 300 may be implemented (eg, executed) by, for example, a processor (eg, the processor 210). At least a portion of the program module 300 may include, for example, modules, programs, routines, sets of instructions, or processes for performing one or more functions.

The term “module” used in this document may mean, for example, a unit that includes one or a combination of two or more of hardware, software, or firmware. “Module” may be used interchangeably with terms such as unit, logic, logical block, component, or circuit, for example. A “module” may be the smallest unit of integrated parts or a part thereof. “Module” may be the minimum unit or part of one or more functions. A “module” may be implemented mechanically or electronically. For example, a “module” is an application-specific integrated circuit (ASIC) chip, field-programmable gate arrays (FPGAs), or programmable-logic device, known or to be developed, that performs certain operations. It can contain at least one.

At least a portion of the device (e.g., modules or functions thereof) or method (e.g., operations) according to various embodiments may be stored in a computer-readable storage media, e.g., in the form of a program module. It can be implemented with instructions stored in . When the instruction is executed by a processor (eg, the processor 120), the one or more processors may perform a function corresponding to the instruction. The computer-readable storage medium may be, for example, the memory 130.

Computer-readable recording media include hard disks, floppy disks, magnetic media (e.g. magnetic tape), optical media (e.g. CD-ROM (compact disc read only memory), DVD (e.g. digital versatile disc, magneto-optical media (e.g., floptical disk), hardware device (e.g., read only memory (ROM), random access memory (RAM), or flash memory, etc.) In addition, the program instructions may include not only machine language codes such as those created by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. It may be configured to operate as one or more software modules to perform the example operations, and vice versa.

A module or program module according to various embodiments may include at least one of the above-described components, some of them may be omitted, or may further include other additional components. Operations performed by modules, program modules, or other components according to various embodiments may be executed sequentially, in parallel, iteratively, or in a heuristic manner. Additionally, some operations may be executed in a different order, omitted, or other operations may be added.

4 is a diagram illustrating an exemplary electronic system.

Referring to the drawings, the electronic system 4000 may include at least one of a terminal 4010, a first server 4020, a second server 4030, and/or a third server 4040. The terminal 4010 may include the above-described electronic device, and may include some and/or all components of the above-described electronic device. The first server 4020, the second server 4030, and/or the third server 4040 may include the electronic devices and/or servers described above, and may be part of the electronic devices and/or servers described above and/or It can contain all components.

The terminal 4010 can acquire target information. For example, the terminal may include at least one of a smartphone, computer, wearable computer, and/or electronic device. The terminal 4010 may include the above-described electronic device. Target information may include at least one of audio, video, image, text, and/or additional information.

The terminal 4010 may transmit target information to the first server 4020. The terminal 4010 may receive search result information from the first server 4020. The terminal 4010 can display search result information.

The first server 4020 may receive target information from the terminal 4010 and transmit the target information to the second server 4030. For example, the first server 4020 may transmit the target information as is to the second server 4030, or after processing/editing/modifying the target information, send the processed/edited/modified information to the second server 4030. ) can also be passed. The first server 4020 recognizes at least one image, audio, video, text, metadata, attribute information, and/or additional information included in the target information, and selects at least one image, audio, video, and Extract text, metadata, attribute information, and/or additional information, and then transmit at least one extracted image, audio, video, text, metadata, attribute information, and/or additional information to the second server 4030. You can.

The first server 4020 may receive first recognition information corresponding to target information from the second server 4030. For example, the second server 4030 may include an artificial intelligence server including artificial intelligence and/or machine learning functions.

The first server 4020 may generate second recognition information based on at least one of target information and first recognition information.

The first server 4020 may generate search information for searching intellectual property rights corresponding to the target information based on at least one of the target information, first recognition information, and second recognition information. For example, intellectual property rights may include trademark rights, patent rights, design rights, and copyright rights. Search information may include a search expression.

The first server 4020 may request a search from the third server 4040 based on the search information and receive search result information corresponding to the search information from the third server 4040.

The first server 4020 may transmit search result information to the terminal 4010.

The second server 4030 may generate recognition information that describes target information based on artificial intelligence and/or machine learning technology and transmit the generated recognition information to the first server 4020. For example, the second server 4030 may include an artificial intelligence model (or machine learning model) trained in advance based on a training set. The second server 4030 may exist independently from the first server 4020, or may be partially and/or completely integrated into the first server 4020. When the second server 4030 is integrated into the first server 4020, the first server 4020 may perform some and/or all functions of the second server 4030.

The third server 4040 may include a plurality of intellectual property rights information. For example, the third server 4040 may include a large-capacity database server containing specific information related to at least one of patent rights, trademark rights, design rights, and/or copyrights. For example, the third server 4040 may include images, audio, video, text, metadata, attribute information, and/or additional information related to intellectual property rights.

The third server 4040 may receive search information from the second server 4020 and transmit search result information corresponding to the search information to the second server 4020. For example, search result information may include specific information about the searched intellectual property rights.

The third server 4040 may exist independently from the first server 4020, or may be partially and/or completely integrated into the first server 4020. When the third server 4040 is integrated into the first server 4020, the first server 4020 may perform some and/or all functions of the third server 4040.

5 is a diagram illustrating functions of an exemplary first server and/or second server.

Referring to (a), the first server and/or the second server may include various artificial intelligence algorithms. Hereinafter, the description will focus on the second server, but the first server may also include all the functions of the second server.

For example, artificial intelligence algorithms include classification algorithms (Logistic regression, Decision tree, Nearest-neighbor classifier, Kernel discriminate analysis, Neural network, Support Vector Machine, Random forest, Boosted tree), prediction algorithms (Linear regression, Regression tree, Kernel regression, Support vector regression), dimension (variable) reduction algorithm (Principal component analysis, Non-negative matrix factorization, Independent component analysis, Manifold learning, SVD), grouping algorithm (k-means, Hierarchical clustering, mean-shift, self- organizing maps (SOMs)), pre-training/secondary classification algorithms (Multi layers Neural Nets, Non-linear Transformation, Convolutional neural network, Recurrent using Deep Learning (Stacked Restricted Boltzmann Machine, Stacked Auto-Encoders, etc.) Neural Network), data comparison algorithms (Bipartite cross-matching, n-point correlation two-sample testing, minimum spanning tree), etc.

Referring to (b), the second server may generate recognition information that describes target information based on at least one of various artificial intelligence algorithms.

For example, the second server may classify the input target information into a plurality of detailed areas and generate recognition information for each detailed area. Recognition information may include properties, location, arrangement, direction, number, meaning, and/or characteristic information that describe objects included in the target information and/or detailed area.

6 is a diagram illustrating the recognition function of an exemplary first server and/or second server.

The first server and/or the second server may recognize target information 6010 based on the above-described artificial intelligence technology and generate at least one piece of recognition information 6020. Hereinafter, the description will focus on the second server, but the first server may also perform the same function as the second server.

The second server may receive target information (for example, an image or text) and recognize objects included in the target information by region. For example, the target information may include an image, and the image may include a photo or picture of a chameleon in the first area and a text image called “chameleon” in the second area.

The second server can classify objects, recognize objects, and recognize text (words or sentences) based on target information. For example, the second server may generate recognition candidate information such as “Lizard, Chameleon, Vertebrate, Scaled Reptile, Reptile, Iguania, Fauna” based on the target information.

Additionally, the second server may calculate the accuracy of recognition candidate information generated based on the target information. For example, Lizard may have an accuracy of 96%, Chameleon may have an accuracy of 92%, Vertebrate may have an accuracy of 92%, Scaled Reptile may have an accuracy of 91%, Reptile may have an accuracy of 90%, Iguania may have an accuracy of 88%, and Fauna may have an accuracy of 85%.

Additionally, the second server may extract at least one recognition information 6020 based on at least one (or plurality) of recognized recognition candidate information. For example, the second server may extract at least one recognition information 6020 that is closest to the target information 6010 from among a plurality of recognition candidate information. For example, at least one piece of extracted recognition information 6020 may be “Chameleon.”

The method for the second server to extract at least one recognition information from at least one (or a plurality of) pieces of recognition candidate information includes accuracy of the recognition candidate information, matching relationship with the target information, consistency with the target information, and/or other You can rely on the method.

7 is a diagram illustrating a matching function and/or a search information generation function of an exemplary first server and/or a second server.

The first server 7020 and/or the second server 7030 may match at least one piece of recognition information to classification information. Hereinafter, the description will focus on recognizing target information using artificial intelligence in the second server 7030, but the first server 7020 can also recognize target information using artificial intelligence. Additionally, the first server 7020 may include both the functions of the above-described second server 7030 and the functions of the second server 7030 described below.

The terminal 7010 may receive target information and transmit the target information to the first server 7020 and/or the second server 7030. For example, target information may include audio, video, images, text, and/or additional information.

The first server 7020 may receive target information and transmit the target information to the second server 7030. Additionally, the first server 7020 may directly recognize target information.

The second server 7030 may receive target information from the terminal 7010 and/or the first server 7020 and generate at least one piece of recognition information corresponding to the target information. Additionally, the second server 7030 may divide and/or extract target information into at least one area and generate at least one recognition information corresponding to the at least one divided and/or extracted area.

Then, at least one generated recognition information may be transmitted to the first server 7020.

The first server 7020 may generate search information based on at least one piece of recognition information received and/or generated. For example, search information may include search keywords and/or classification information.

The first server 7020 may match at least one piece of recognition information to classification information. For example, the classification information may include classification code information corresponding to the target information and/or recognition information, graphic element information describing the target information and/or recognition information, and/or other information.

For example, if the target information includes an image of a chameleon, the recognition information may include a chameleon or Chameleon. The first server 7020 may determine a field containing a chameleon or Chameleon among the geometric element information, and determine classification code information 301110 corresponding to the chameleon or Chameleon. Then, the first server 7020 may generate classification information (eg, DR=[031110]) based on the classification code information.

Then, the first server 7020 generates search information by combining at least one of at least one recognition information (e.g., chameleon) and/or classification information (e.g., DR=[031110]). can do. For example, search information may include a search expression.

For example, if the recognition information is a text, it can be directly included as a keyword in the search expression, and objects (such as shapes) can be included as a keyword in the search expression after being converted to shape code information. Artificial intelligence technology can be used in the process of converting objects into shape code information.

In addition, the first server 7020 uses the search information to transfer intellectual property rights (e.g., patents, trademarks, designs, and/or copyrights, etc.) related to the target information to the first server 7020 and/or the third server. You can search from . For example, the first server 7020 may search intellectual property rights stored on an external third server using a search engine installed on the first server 7020, or use a search engine installed on the first server 7020. You can also search for intellectual property rights stored in the first server 7020. Additionally, the first server 7020 may include searching intellectual property rights stored in the first server 7020, a third server, and/or an external DB server using an external search engine server.

Additionally, the first server 7020 and/or the second server 7030 may calculate the similarity between the target information and the searched intellectual property rights. In this case, the first server 7020 and/or the second server 7030 may use natural language processing, a natural language comparison algorithm, a sentence/context comparison algorithm, an image comparison algorithm, and/or artificial intelligence (e.g., a convolutional neural network ( The similarity between the target information and the searched intellectual property rights can be calculated using at least one of CNN) or recurrent neural network (RNN). Based on this, the first server 7020 can sort the searched intellectual property rights in order of high similarity and provide them to the terminal and/or the user, and the second server 7030 can sort the searched intellectual property rights in order of high similarity. Thus, it can be provided to the terminal, the first server 7020, and/or the user.

Additionally, the first server 7020 and/or the second server 7030 may determine the possibility of registration and/or infringement based on the degree of similarity.

Additionally, the first server 7020 and/or the second server 7030 may generate recommendation information that recommends a designated product and/or a designated service business to the user and provide it to the terminal and/or the user. For example, the first server 7020, the second server 7030, the third server, and/or other servers may include an intellectual property DB. The intellectual property rights DB may include information such as application number, applicant, name of trademark, designated product, and/or designated service industry.

When a user enters application information regarding a trademark application using a terminal, the first server 7020 and/or the second server 7030 recommends appropriate designated products and/or designated service businesses to the user based on the application information. can do. For example, when the user inputs application information such as the field using the trademark, industry, designated product, designated service industry, applicant information, and/or other information, the first server 7020 and/or the second server 7030 ) may generate recommendation information that recommends designated products and/or designated service businesses based on the application information and provide it to the terminal and/or user. The first server 7020 and/or the second server 7030 may generate recommendation information using probability, statistics, machine learning, artificial intelligence, recommendation system, and/or expert system for application information. Application information may include all information about the applicant, all information about the intellectual property rights, and/or all information necessary for filing an application for intellectual property rights.

For example, when the first user enters application information such as “Trademark 1,” “Industry 1,” and/or “Designated Product 1 (or Designated Service Industry),” the first server 7020 and/or the second The server 7030 may generate recommended information related to a designated product and/or designated service industry appropriate for the first user based on the application information. Recommended information may be a designated product and/or designated service business that is preferred or frequently applied for by the first user, or a designated product and/or designated service business that is preferred or frequently applied for in other trademark applications and/or trademark rights similar to "Trademark 1". It may be an application for another trademark in a field/industry similar to “Trademark 1” and/or a designated product and/or a designated service industry that is preferred or frequently applied for trademark rights, or it may be an application for another trademark applying for “Designated Product 1” and/or Alternatively, it may be a designated product and/or designated service business that is preferred or frequently filed for trademark rights.

In addition, the first server 7020 and/or the second server 7030 determines the possibility of registration and/or infringement by considering the relationship between the application information provided by the first user and other trademark applications and/or trademark rights, and , recommendation information that can be registered and/or does not infringe upon other trademark applications and/or trademark rights may be generated and provided to the terminal and/or user.

As a result, users can quickly file intellectual property rights applications on their own without the help of others. To this end, the first server 7020 and/or the second server 7030 may provide users with an interface through which users can apply for intellectual property rights on their own. In addition, users can forward their self-written applications to the Korean Intellectual Property Office.

8 is a diagram illustrating a control method of an exemplary electronic system.

Referring to the drawings, the electronic system may include at least one of a terminal 8010, a first server 8020, a second server 8030, a third server 8040, and/or another server 8050. . Hereinafter, the second server 8030 and/or third server 8040 exists independently from the first server 8020, but is a part of the second server 8030 and/or third server 8040 and/or All may be integrated into the first server 8020. When integrated, the first server 8020 may perform some and/or all of the functions of the second server 8030 and/or the third server 8040.

The terminal 8010 can receive target information. Then, the terminal 8010 may transmit the target information to the first server 8020 and/or the second server 8030. The first server 8020 may preprocess the target information received from the terminal 8010 and then transmit it to the second server 8030. For example, preprocessing may include preprocessing necessary for recognition of target information, such as filtering target information and extracting target information by region.

The second server 8030 may receive target information and generate first recognition information corresponding to the target information using the above-described artificial intelligence based on the target information. Then, the second server 8030 may transmit the first recognition information to the first server 8020.

Additionally, the first server 8020 may generate second recognition information corresponding to the target information based on at least one of the target information and/or the first recognition information.

Additionally, the first server 8020 may generate search information based on at least one of target information, first recognition information, and/or second recognition information.

Additionally, the first server 8020 may search for intellectual property rights corresponding to the search information in the first server based on the search information and generate first search result information. Additionally, the first server 8020 may search for intellectual property rights corresponding to the search information in the third server 8040 based on the search information, and receive and/or generate second search result information. Additionally, the first server 8020 may search for intellectual property rights corresponding to the search information in the other server 8050 based on the search information, and receive and/or generate third search result information. The first search result information, the second search result information, and/or the third search result information may include information related to intellectual property rights. For example, the first search result information, the second search result information, and/or the third search result information may include the name of the invention/design, claims, specifications, drawings, classification information of the patent/design, name of the trademark, trademark, etc. It may include at least one of an image, a designated product, a designated service business, trademark/product/service classification information, the name of the product of the design, a drawing of the design, a description of the design, and/or classification information of the design/product.

In addition, the first server 8020 sends at least one of target information, first recognition information, second recognition information, first search result information, second search result information, and/or third search result information to the second server ( 8030).

The second server 8030 provides first determination information based on at least one of target information, first recognition information, second recognition information, first search result information, second search result information, and/or third search result information. can be created. For example, the first judgment information may include at least one of first similarity information, first registration possibility information, first infringement information, and/or first other information. The first similarity information is information indicating the degree of similarity between the target information and the intellectual property rights included in at least one of the first search result information, the second search result information, and/or the third search result information. The first registration possibility information is information indicating whether the target information can be registered based on the first search result information, the second search result information, and/or the third search result information. The first infringement information is information indicating whether the target information infringes a specific intellectual property right based on the first search result information, the second search result information, and/or the third search result information. The second server 8030 may transmit the generated first decision information to the first server 8020.

Additionally, the first server 8020 is configured to provide at least one of target information, first recognition information, second recognition information, first search result information, second search result information, third search result information, and/or first judgment information. Based on this, second judgment information can be generated. For example, the second judgment information may include at least one of second similarity information, second registration possibility information, second infringement information, and/or second other information. The second similarity information is information indicating the similarity of the target information to intellectual property rights included in at least one of the first search result information, the second search result information, and/or the third search result information. The second registration possibility information is information indicating whether the target information can be registered based on the first search result information, second search result information, third search result information, and/or first judgment information. The second infringement information is information indicating whether the target information infringes on a specific intellectual property right based on the first search result information, second search result information, third search result information, and/or first judgment information.

In addition, the first server 8020 may provide target information, first recognition information, second recognition information, first search result information, second search result information, third search result information, first judgment information, and/or second search result information. At least one of the judgment information may be transmitted to the terminal 8010.

In addition, the terminal 8010 includes target information, first recognition information, second recognition information, first search result information, second search result information, third search result information, first judgment information, and/or second judgment information. At least one of them can be displayed.

9 is a diagram illustrating a control method of an exemplary electronic system.

Referring to the drawings, the electronic system may include at least one of a terminal 9010, a first server 9020, a second server 9030, a third server 9040, and/or other servers. Hereinafter, the second server 9030 and/or third server 9040 exists independently from the first server 9020, but is a part of the second server 9030 and/or third server 9040 and/or All may be integrated into the first server 9020. When integrated, the first server 9020 may perform some and/or all of the functions of the second server 9030 and/or the third server 9040.

The terminal 9010 may transmit the first target information and/or the second target information to the first server 9020. For example, at least one of the first target information and/or the second target information may include registered and/or unregistered intellectual property rights information. Additionally, the first target information and/or the second target information may include information that is the subject of comparison, search, and judgment.

The first server 9020 may generate search information based on the first target information and/or the second target information. The first server 9020 may search the first server 9020, the third server 9040, and/or other servers based on the search information. The first server 9020 may receive and/or generate first search result information corresponding to the first target information and/or second target information stored in the first server 9020 based on the search information. Additionally, the first server 9020 may receive and/or generate second search result information corresponding to the first target information and/or second target information stored in the third server 9040 based on the search information. . Additionally, the first server 9020 may receive and/or generate third search result information corresponding to the first target information and/or second target information stored in other servers based on the search information.

At least one of the first search result information, the second search result information, and the third search result information may include registered and/or unregistered intellectual property rights information, and may include other information.

The second server 9030 uses artificial intelligence and/or other information based on at least one of first target information, second target information, first search result information, second search result information, and/or third search result information. First judgment information can be generated using technology. For example, the first judgment information may include at least one of first similarity information, first registration possibility information, first infringement information, and/or first other information. The second server 9030 may transmit the first determination information to the first server 9020.

The first server 9020 uses artificial intelligence based on at least one of first target information, second target information, first search result information, second search result information, third search result information, and/or first judgment information. And/or other technologies may be used to generate the second judgment information. For example, the second judgment information may include at least one of second similarity information, second registration possibility information, second infringement information, and/or second other information. The first server 9020 is configured to provide at least one of first target information, second target information, first search result information, second search result information, third search result information, first judgment information, and/or second judgment information. can be transmitted to the terminal 9010.

The terminal 9010 displays at least one of first target information, second target information, first search result information, second search result information, third search result information, first judgment information, and/or second judgment information. can do.

Figure 10 is a diagram showing an exemplary designated item recommendation method.

Below, the method of recommending designated items is explained in detail. The designated item recommendation method may be implemented by the above-described first server, second server, and/or third server, and the following description will focus on implementation by the first server.

The exemplary first server may determine at least one standard designation item based on input information received from the user electronic device (S1010). For example, the input information may include at least one of industry information related to the user's industry, similar group information, designated products, and designated service industries. The user electronic device may include the aforementioned electronic device and/or terminal. At least one standard designation item indicates at least one designation item derived by filtering and/or analyzing received input information, and may be basic data for generating a recommended designation item. At least one designated item is stored in a database such as a first server. Designated items may include at least one of designated products and/or designated service industries.

Then, the first server may generate a set of at least one recommended designated item that can be recommended to the user based on the at least one standard designated item (S1020). The first server may generate at least one set of recommended designated items using various methods, such as statistical methods and/or methods using artificial intelligence. The specific method will be described below. The recommended designated item set is information provided to the user by the first server, and the user can select the designated item he or she wants based on the recommended designated item set. When at least one designation item is selected by the user, the selected at least one designation item may be another standard designation item, and the first server may select the at least one standard designation item selected by the user and/or the first server. A new set of at least one recommended designation item may be created based on the generated at least one reference designation item.

Then, the first server may deliver the set of at least one recommended designated item to the user electronic device (S1030). The recommended designated item set may be transmitted from the first server to the user electronic device, and the user electronic device may display the received recommended recommended item set.

11 is a diagram illustrating a method for generating an example set of recommended designated items.

The exemplary first server may extract a plurality of designation item information including a set of at least one designation item included in a plurality of trademark applications that commonly include the at least one standard designation item. For example, if the standard designation item determined by the first server is 'Korean food business', the first server may search for a plurality of applied trademarks and/or registered trademarks that include 'Korean food business' as a designation item. Each of the searched plurality of applied trademarks and/or registered trademarks includes at least one designation item. Designated item information may be a set of at least one designated item included in each applied trademark and/or registered trademark. Accordingly, the first server can extract a plurality of designated item information for the plurality of searched applied trademarks and/or registered trademarks.

Additionally, the first server may generate the set of at least one recommended designated item based on the at least one designated item included in the plurality of designated item information. The first server may apply a statistical method or a method using artificial intelligence based on at least one designated item included in the plurality of designated item information, and generate at least one set of recommended designated items as a result. In this way, a plurality of designated item information can be used as basic data for analysis by the first server.

Figure 12 is a diagram illustrating another method of generating an example set of recommended designations.

An exemplary first server may apply statistical methods to recommend at least one specified item. For example, the first server may search for a plurality of applied trademarks and/or registered trademarks including 'Korean food industry' as a designated item, and extract a plurality of designated item information from the searched applied trademarks and/or registered trademarks. . Designated item information for each searched applied trademark and/or registered trademark may include at least one designated item. The first server may calculate the frequency of appearance of at least one designated item included in the plurality of designated item information. Then, the first server may provide at least one set of recommended designated items to the user based on the frequency of appearance of at least one designated item included in the plurality of designated item information.

To this end, the first server may sort the at least one designated item included in the plurality of designated item information in descending order based on the frequency of appearance (S1210). Additionally, the first server may sort the at least one designated item included in the plurality of designated item information in descending order. The set of at least one recommended designated item may be created (S1220). For example, at least one designation item created based on the standard designation item 'Korean food business' is "Bar business (100 times)", "Snack restaurant business (150 times)", "General food service business (200 times)", " In the case of "Restaurant chain business (230 times)", the first server is based on the frequency of appearance: "Restaurant chain business (230 times)", "General food service business (200 times)", "Restaurant business (150 times)", and You can sort them in the order of “Bar Upload (100 times)”. Then, the first server may determine the most frequently appearing “restaurant chain business (230 times)” as the recommended item set.

Figure 13 is a diagram illustrating another method of generating an example set of recommended designations.

Below, we will describe how the first server generates a set of recommended designated items using artificial intelligence. The first server may find a recommended designation item set or pair, which is a set of designation items that commonly occur together in a plurality of designation item information corresponding to the searched applied trademark and/or registered trademark. The first server may store a plurality of designated item information including at least one designated item in a special structure called a pattern tree in order to find a set of recommended designated items. This first server generates a set of recommended products by searching the database only twice, so it is very fast. A detailed explanation is provided below.

Referring to FIG. (a), the first server may build a pattern tree that stores a set of at least one designation item included in the plurality of designation item information (S1310). The first server may store a plurality of specified item information in a data structure called a pattern tree. A pattern tree may contain links connecting similar and/or identical designations to each other. Additionally, specified items that are linked together can be considered like a linked list. A pattern tree is used to store a set of frequently occurring specified items, and the path of the tree can be stored in the set. Sets containing similar and/or identical assignments share parts of the tree and differ only in the parts that partition the tree. A node can be defined as one single specification in a set and the number of times this specification occurs in that sequence. Therefore, a path can describe how many times it has occurred sequentially. The pattern tree may include node links that provide connection information between known similar and/or identical designations, and the node links may include information that allows one to quickly locate similar and/or identical designations. When the first server searches the database for the first time, the first server may calculate the frequency of occurrence of all specified items to build a pattern tree.

The first server may use support as the minimum threshold. For example, the first server may consider a designated item that occurs below the support level as an infrequent designated item, and may consider a designated item that occurs above the support level as a frequent designated item. The first server may build a pattern tree using frequent specified items.

Additionally, the first server may mine the set of at least one recommended designated item based on the pattern tree (S1320). When the first server searches the database a second time, the first server has access to only the frequent assignments. The first server may use a pattern tree built with frequent designation items to generate a set of recommended designation items that can be provided to the user.

Referring to figure (b), the identification number and designation item information of the searched applied trademark and/or registered trademark are shown. For example, identification numbers can be displayed as 1, 2, 3, etc. to simplify explanation. Additionally, designated items can also be indicated as a, b, c, d, etc. to simplify explanation. Each application includes at least one designation item. For example, the application corresponding to identification number 1 may include designation items such as 'r, z, h, j, p'. In this way, the first server may generate identification numbers and designation item information for all searched applied trademarks and/or registered trademarks.

Referring to figure (c), an exemplary pattern tree is shown. A pattern tree can be created using designated items whose frequency of occurrence is greater than or equal to the support level. The pattern tree may include at least one node, and each node may include information about the name and frequency of appearance of the designated item. Additionally, the pattern tree may include link information connecting identical or similar designated items.

14 is a diagram illustrating a method for building an example pattern tree.

The first server may create a data structure containing information about the nodes and links constituting the pattern tree (S1410). In order to build a tree, a storage space is needed to store the tree, and the first server can create a class that stores and/or defines each node for the tree. For example, a class may have name information indicating the name of the node, frequency information indicating how often the node appears, node link information containing information linking similar and/or identical designations, and references to parent nodes in the tree. It may include at least one of parent information including information for referencing child nodes in the tree, or child information for storing child nodes.

In this way, the first server can use the class to create a data structure containing information about the nodes and links that make up the pattern tree. The first server may construct a pattern tree based on a plurality of designated item information and support including at least one designated item. The first server may calculate the frequency of each designated item while reading all designated items in the designated item information. The server can store the calculated frequency in a header table.

In addition, the first server may extract a plurality of candidate designation item sets including at least one designation item having an appearance frequency of more than a predetermined degree of support from among at least the designation items included in each trademark application information (S1420) . For example, the candidate designation item set may represent designation items whose frequency is higher than or equal to the support among at least one designation item included in each applied trademark and/or registered trademark. The first server may examine the header table and delete designated items that occur with a lower support rating, and extract the remaining designated items that occur with a higher support rating as candidate designated item sets. The first server may not proceed further if there are no frequently specified items. The first server can then slightly extend the header table to store counts and indicators for each type of specified item. And the first server can create a basic node containing the empty set. The first server may repeatedly read the set of specified items again. In this case, it can be read using only frequent designated items.

Additionally, the first server may sort the at least one designation item included in the plurality of candidate designation item sets in descending order based on the frequency of appearance (S1430). Additionally, the first server may construct the pattern tree based on the plurality of candidate designation item sets including the sorted at least one designation item (S1440).

Figure 15 is another diagram illustrating a method for building an example pattern tree.

Referring to Figure (a), an example set of designations and an ordered set of candidate designations are shown. The first server may calculate the frequency for all designated items included in each designated item information. Then, the first server may remove designated items whose frequency is less than the support and extract only designated items whose frequency is greater than or equal to the support as candidate designated items.

The first server adds each candidate item set to the existing path if the candidate item set already exists. If the candidate specified item set does not exist, a new path is created. Each designated item information is a set and may not be arranged in order. That is, when there are {z, x, y} and {y, z, r}, similar and/or identical specifications are needed for these sets to overlap. To solve this, each set must be sorted before adding it to the tree. The first server may sort the candidate designation items using the frequency of the designation items.

Specifically, the first server may sort candidate designation items extracted from each designation item information in descending order based on frequency. For example, the set of specified items corresponding to identification information 1 may include 'r, z, h, j, p', and the first server sorts 'z, r' whose frequency is higher than support in descending order. can do. In this way, the first server can filter and sort the specified item set based on frequency.

Referring to figure (b), a process in which the first server builds a pattern tree based on a sorted set of candidate designated items is shown. After filtering and sorting the designated item set, the first server may build a tree using the sorted candidate designated item set. The first server can start building the tree with the empty set and add a sorted set of candidate specified items to this set. The set of filtered and sorted candidate items is successively added to the tree, increasing the number of existing elements in the tree, and branching out if the element is not present in the tree.

For example, the first server may create an empty set node and add candidate designated item sets corresponding to identification information 1 to 6 to the pattern tree. The first server may first add a set of candidate designated items including the designated item with the highest frequency to the pattern tree, and then add the next set of candidate designated items in order of high frequency to the pattern tree.

Referring to figure (c), a pattern tree including a header table is shown. The header table may include information about a designated item whose frequency is higher than the support level and information about the frequency of the designated item. The header table provides quick access to all specified items provided by the pattern tree. To this end, the header table may contain starting point information for finding similar and/or identical designations. In this way, in addition to storing starting point information (or indicators), the header table can be used to keep track of the total number of all element types in the pattern tree. Additionally, each node included in the pattern tree may include information about the designated item at each node and information about the frequency of the designated item. Additionally, each node may include link information for finding similar and/or identical designations.

16 is a diagram illustrating a method for mining an example set of recommended designated items.

The exemplary first server may generate a set of at least one recommendation designation item that can be recommended to a user based on the constructed pattern tree. This is explained in detail below.

For each designated item included in the header table, the first server may generate conditional pattern base information including a set of at least one dictionary path to an end portion containing the designated item to be searched from the pattern tree. (S1610). For example, a dictionary path can be path information between the specified item you want to find in the pattern tree and the beginning of the pattern tree. Dictionary paths can be used to create pattern trees.

In addition, the first server provides a condition pattern tree including at least one designation item having an appearance frequency higher than the support level among at least one designation item included in the condition pattern base information for each designation item included in the header table. can be built (S1620). For example, the first server may build a conditional pattern tree based on conditional pattern base information starting from the bottom of the header table. That is, the first server can build a conditional pattern tree based on the conditional pattern base information, starting from the specified item with the lowest frequency.

Additionally, the first server may generate at least one recommended designation item set that combines a subset of the condition pattern tree and each designation item included in the header table (S1630). Then, the first server may provide the generated set of at least one recommended designated item to the user terminal. At this time, the first server may additionally perform filtering and sorting on at least one designated item included in the generated set of recommended designated items and provide the same to the user terminal. For example, the first server may preferentially provide a set of highly frequent designated items or recommended designated items to the user terminal.

Figure 17 is another diagram illustrating a method for mining an example set of recommended designated items.

Referring to Figure (a), construction of a conditional pattern tree is shown. For example, the first server may build a conditional pattern tree based on the designation item 't' with the lowest frequency. The condition pattern base information corresponding to the designation item 't' may be '{z,x,y,s: 2}', '{z,x,y,r: 1}'. 'z,x,y,r' and 'z,x,y,s' may be dictionary paths, and '2' and '1' may be frequencies for the dictionary paths. The first server can remove designated items 's' and 'r' whose frequency is less than '3' based on the support rating of '3'. Then, the first server may sequentially add {y, x, z: 2} and {y, x, z: 1} to the empty set condition pattern tree.

Referring to figure (b), a set of recommended designation items generated by a conditional pattern tree is shown. For example, the dictionary path for assignment 't' could be {z, x, y, s}, {z, x, y, r}. Each of these dictionary paths may have a number (or frequency) associated with them. This number can be the same as the start designation item. This number can be defined as the number of 't's on each path.

The conditional pattern tree may be composed of designated items whose frequency is higher than the support level among all designated items included in the conditional pattern base information. For example, the conditional pattern tree for designation item 't' may be composed of designations 'z', 'x', and 'y'.

The recommended designation item set may be a set that combines a subset of the condition pattern tree and each designation item included in the header table. For example, the recommended designation item set based on designation item 't' may be a set that combines a subset of {z, x, y} and designation item {t}. That is, the set of recommended assignments based on assignment 't' is {t, z}, {t, x}, {t, y}, {t}, {t, x, z}, {t, x , y}, {t, z, y}, {t, z, x, y}.

In this way, the first server can create a recommended designation item set for all designation items included in the header table. The first server may then provide the generated set of recommended designations to the user's electronic device.

Additionally, the first server may receive user mark information including information about the trademark mark from the user electronic device. And, in the step of generating the at least one recommended designation item set, the first server, if the mark information for at least one trademark application included in the plurality of trademark applications and the user mark information are similar, the at least one Designation items similar to at least one designation item included in the trademark application may be excluded from the set of recommended designation items.

The technology disclosed in this specification may include a computer program stored in a medium in combination with hardware to execute the above-described designated product recommendation method and intellectual property search method.

Additionally, the technology disclosed in this specification may be implemented by any one of a first server, a second server, and/or a third server. The exemplary first server may include a communication module, a processor executing instructions, and a computer-readable memory storing a program for executing the instructions in an electronic device. Details of the first server are described above. It can include all information about servers or electronic devices. Exemplary instructions include determining at least one reference designation item based on input information received from a user electronic device; generating a set of at least one recommended designated item that can be recommended to a user based on the at least one standard designated item; and instructions for transmitting the set of at least one recommendation item to the user electronic device.

Additionally, according to the embodiment disclosed in this specification, the above-described method can be implemented as processor-readable code on a program-recorded medium. Examples of media that can be read by a processor include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage devices, and also include those implemented in the form of downloadable files.

The electronic device described above is not limited to the configuration and method of the embodiments described above, and the embodiments may be configured by selectively combining all or part of each embodiment so that various modifications can be made. It may be possible.

In the above, preferred embodiments of the technology of this specification have been described with reference to the attached drawings. Here, terms or words used in this specification and claims should not be construed as limited to their usual or dictionary meanings, but should be interpreted as meanings and concepts consistent with the technical idea of this specification.

The scope of the present specification is not limited to the embodiments disclosed herein, and the present specification may be modified, changed, or improved in various forms within the scope described in the spirit and claims of the present specification.

4010: terminal 4020: first server
4030: second server 4040: third server

Claims (8)

As a designated item recommendation method performed by a server,
Recommending at least one designated item based on input information received from the user electronic device;
determining a standard designation item among the recommended designation items based on a user's input;
Searching for trademarks that commonly include the standard designation items;
extracting designated items other than the standard designated items included in the searched trademarks;
generating a set of recommended designated items that can be recommended to a user based on the frequency of occurrence of the extracted designated items; and
delivering the set of recommended designated items to a user electronic device;
Contains,
The step of generating a set of recommended designated items that can be recommended to the user based on the frequency of occurrence of the extracted designated items,
constructing a pattern tree storing a set of the extracted designated items included in the searched trademarks; and
Mining the at least one recommended designated item set based on the pattern tree,
The step of building the pattern tree is,
generating a data structure containing information about nodes and links constituting the pattern tree;
extracting a plurality of candidate designation item sets including at least one designation item having an appearance frequency of more than a predetermined degree of support from among at least the designation items included in each trademark application information;
Sorting the at least one designated item included in the plurality of candidate designated item sets in descending order based on the frequency of appearance; and
Constructing the pattern tree based on the plurality of candidate designation item sets including the sorted at least one designation item;
How to recommend specified items to include. According to paragraph 1,
The input information is a designated item recommendation method including at least one of field information in which the user uses the trademark, industry information related to the user's industry, similar group information, designated products, designated service industry, and applicant information. According to paragraph 1,
The number of standard designated items is one or multiple designated items. According to paragraph 1,
The step of generating a set of recommended designated items that can be recommended to the user based on the frequency of occurrence of the extracted designated items,
A method of recommending a designated item by sorting the extracted designated items in descending order based on frequency of appearance, and generating the recommended designated item set containing a preset number of designated items starting from the upper order sorted in descending order. According to paragraph 1,
The step of mining the set of at least one recommended designated item based on the pattern tree,
For each designated item included in the header table, generating conditional pattern base information including a set of at least one dictionary path to an end portion containing the designated item to be searched from the pattern tree;
For each designated item included in the header table, constructing a conditional pattern tree including at least one designated item having an appearance frequency higher than or equal to the support level among at least one designated item included in the condition pattern base information; and
Generating at least one recommended designation item set that is a combination of a subset of the condition pattern tree and each designation item included in the header table;
How to recommend specified items to include. According to paragraph 1,
Further comprising receiving user mark information including information about the mark of the trademark from the user electronic device,
The step of generating the recommended designated item set is,
If the mark information for at least one trademark application included in the trademarks and the user mark information are similar, designation items similar to at least one designation item included in the at least one trademark application are excluded from the set of recommended designation items. How to recommend specified items. A computer program combined with hardware and stored in a storage medium to execute the method of any one of claims 1 to 6. communication module;
A processor that executes instructions; and
Includes a computer-readable memory on which a program for executing the instructions is recorded,
The above instructions are:
Recommending at least one designated item based on input information received from the user electronic device;
determining a standard designation item among the recommended designation items based on a user's input;
Searching for trademarks that commonly include the standard designation items;
extracting designated items other than the standard designated items included in the searched trademarks;
generating a set of recommended designated items that can be recommended to a user based on the frequency of occurrence of the extracted designated items; and
transmitting the recommended designated item set to the user electronic device;
Contains instructions for,
The step of generating a set of recommended designated items that can be recommended to the user based on the frequency of occurrence of the extracted designated items,
constructing a pattern tree storing a set of the extracted designated items included in the searched trademarks; and
Mining the at least one recommended designated item set based on the pattern tree,
The step of building the pattern tree is,
generating a data structure containing information about nodes and links constituting the pattern tree;
extracting a plurality of candidate designation item sets including at least one designation item having an appearance frequency of more than a predetermined degree of support from among at least the designation items included in each trademark application information;
Sorting the at least one designated item included in the plurality of candidate designated item sets in descending order based on the frequency of appearance; and
Constructing the pattern tree based on the plurality of candidate designation item sets including the sorted at least one designation item;
A server containing instructions for