WO2024014625A1 - Personalized fragrance recommendation service system and method therefor - Google Patents

Personalized fragrance recommendation service system and method therefor Download PDF

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Publication number
WO2024014625A1
WO2024014625A1 PCT/KR2022/019020 KR2022019020W WO2024014625A1 WO 2024014625 A1 WO2024014625 A1 WO 2024014625A1 KR 2022019020 W KR2022019020 W KR 2022019020W WO 2024014625 A1 WO2024014625 A1 WO 2024014625A1
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WIPO (PCT)
Prior art keywords
information
emotional state
state information
user
scent
Prior art date
Application number
PCT/KR2022/019020
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French (fr)
Korean (ko)
Inventor
박소현
Original Assignee
박소현
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Publication of WO2024014625A1 publication Critical patent/WO2024014625A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/30Semantic analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0269Targeted advertisements based on user profile or attribute
    • G06Q30/0271Personalized advertisement
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/63Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for estimating an emotional state

Definitions

  • the present invention relates to a personalized scent recommendation service system and method.
  • the present invention relates to a personalized scent recommendation service system and method.
  • the user's patterns and keywords are extracted using the user's playback data, and the emotional state before and during music playback is identified to identify positive
  • the present invention relates to a personalized scent recommendation service system and method that can individually recommend a corresponding scent to maintain or induce an emotional state.
  • perfume is regarded by people as a part of fashion and a means of self-expression.
  • the problem to be solved by the present invention is to provide a personalized scent recommendation service system and method.
  • the personalized scent recommendation service system method to solve the above-described problem is a method of providing a personalized scent recommendation service performed by a server, where recommendation request information including user information is received from the user. receiving; When music is played for a preset standard playback time based on playback data generated according to the user's selection using the recommendation request information, emotional state information generated by comparing and analyzing the playback data based on the user information Generating customized scent information using; And providing a scent recommendation service to the user in response to the customized scent information, wherein the step of generating the customized scent information includes analyzing subjective information included in the user information to determine the previous emotional state before music playback.
  • Identifying and generating first emotional state information Identifying and generating first emotional state information; Analyzing the playback data to identify the user's current emotional state while playing music and generating second emotional state information; Analyzing the first emotional state information and the second emotional state information to generate third emotional state information corresponding to a change in the user's emotional state; And it may include generating the customized scent information based on the third emotional state information.
  • generating the second emotional state information may include extracting user patterns and keywords from the playback data.
  • the step of generating the third emotional state information includes, when the second emotional state information is lower than the preset reference emotional state information, the first emotional state information and the second emotional state information are The third emotional state information is generated by determining that they are not similar, and when the second emotional state information is higher than the preset standard emotional information, it is determined that the first emotional state information and the second emotional state information are similar, and the second emotional state information is determined to be similar. 3 It may include the step of generating emotional state information.
  • the step of generating the customized scent information includes: when the second emotional state information is lower than the preset reference emotional state information, the second emotional state information is guided to the first emotional state information.
  • the customized scent information may be generated, and if the second emotional state information is higher than preset standard emotional information, the customized scent information may be generated so that the second emotional state information is maintained.
  • the management server analyzes the subjective information based on the user information and provides information prior to music playback.
  • first emotional state information by identifying the emotional state, analyze the playback data to determine the current emotional state of the user while playing music, and generate second emotional state information, and generate the first emotional state information and the second emotional state information.
  • second emotional state information By analyzing emotional state information, third emotional state information corresponding to changes in the user's emotional state can be generated, and the customized scent information can be generated based on the third emotional state information.
  • the program according to one embodiment of the present invention is combined with a computer as hardware and stored in a computer-readable recording medium to perform the method of providing a personalized scent recommendation service.
  • scent information optimized for the user's current state of emotions can be provided.
  • a personalized scent can be recommended to induce or maintain the user's current emotional state in a positive direction.
  • FIG. 1 is a conceptual diagram illustrating a personalized scent recommendation service system according to an embodiment of the present invention.
  • FIG. 2 is a diagram for explaining the detailed configuration of the personalized scent recommendation service system shown in FIG. 1.
  • Figure 3 is a diagram for explaining a personalized scent recommendation service method according to an embodiment of the present invention.
  • FIG. 4 is a diagram for explaining the step of generating customized scent information shown in FIG. 3.
  • FIG. 5 is a diagram for explaining the step of generating emotional state information shown in FIG. 4.
  • Figure 1 is a conceptual diagram for explaining a personalized scent recommendation service system according to an embodiment of the present invention
  • Figure 2 is a diagram for explaining the detailed configuration of the personalized scent recommendation service system shown in Figure 1.
  • the personalized scent recommendation service system 1 which is an embodiment of the present invention, may include a user terminal 10, a management server 20, and an administrator terminal 30. At this time, depending on the embodiment, the manager terminal 30 may be omitted.
  • the wireless communication network may support various long-distance communication methods, such as Wireless LAN (WLAN), DLNA (Digital Living Network Alliance), Wibro (Wireless Broadband: Wibro), and Wimax (World Interoperability for Microwave Access: Wimax).
  • WLAN Wireless LAN
  • DLNA Digital Living Network Alliance
  • Wibro Wireless Broadband: Wibro
  • Wimax Worldwide Interoperability for Microwave Access: Wimax
  • GSM Global System for Mobile communication
  • CDMA Code Division Multi Access
  • CDMA2000 Code Division Multi Access 2000
  • EV-DO Enhanced Voice-Data Optimized or Enhanced Voice-Data Only
  • WCDMA Wideband CDMA
  • HSDPA High Speed Downlink Packet Access
  • HSUPA High Speed Uplink Packet Access
  • LTE Long Term Evolution
  • LTEA Long Term Evolution-Advanced
  • broadband wireless mobile communication service Wireless Mobile
  • WMBS WMBS
  • BLE Bluetooth Low Energy
  • Zigbee Zigbee
  • RF Radio Frequency
  • LoRa LoRa
  • a personalized scent is provided to the user terminal 10 located in a space or place where music can be played using playback data transmitted from the management server 20 using the personalized scent recommendation service system 1.
  • a personalized scent recommendation service system 1 it started out as providing a recommendation service, it is not limited to this.
  • a personalized scent recommendation service can be provided individually or simultaneously to a plurality of user terminals 10 located in spaces such as transportation means such as vehicles equipped with sound equipment, theaters, movie theaters, and concert halls.
  • the user terminal 10 can receive a personalized scent recommendation service through communication with the management server 20 or the administrator terminal 30.
  • the user terminal 10 transmits recommendation request information to the management server 20 through a personalized scent recommendation service, and receives playback data corresponding to the recommendation request information from the management server 20 based on the playback data. You can receive generated customized scent information.
  • the recommendation request information may include user information consisting of objective information and subjective information, and request data for scent recommendation requesting a personalized scent recommendation service, but is not limited to this.
  • Objective information includes basic information such as age, gender, name, contact information, address, and occupation, and priority information such as desired scent, scent preference, time, location, date, payment method, hobby, and inclination when providing a personalized scent recommendation service. Additional information may be included, but is not limited to this.
  • tendencies may include, but are not limited to, rational, sensitive, emotional, conservative, progressive, passive, negative, and positive tendencies.
  • the user information may include location information of the user terminal 10.
  • the location information may include, but is not limited to, the current location information of the user terminal 10 or location information provided with a personalized scent recommendation service.
  • the emotional state information may change depending on the presence or absence of music playback by playback data of the user terminal 10 according to the location information, and thus the customized scent information provided to the user terminal 10 may change.
  • subjective information may include emotional state information such as Happiness, Neutral, Anger, Disgust, Fear, Sadness, and Surprise.
  • emotional state information may be current emotional state information, but is not limited to this and may include information about previous emotional states or average emotional states.
  • customized scent information is data that matches playback data generated using recommendation request information based on standard data
  • information on personalized scent recommendation services is provided in various formats such as text, video, image, URL address, and voice. It may be included, but is not limited to this.
  • the playback data may be data generated by the user's selection based on recommendation request information based on standard data, but is not limited to this and may also be generated using standard data.
  • standard data is data generated through repeated learning using deep learning techniques or machine learning techniques based on big data.
  • it is disclosed as including reference playback time, reference emotion information, etc., but is limited to this. I never do that.
  • the user terminal 10 can output playback data and customized scent information visually and audibly separately or simultaneously.
  • the user terminal 10 may include a display window that can output symbols, letters, numbers, etc. on the screen depending on the operating state, a lamp that outputs color changes or blinks, or a speaker that outputs audio. there is.
  • the user terminal 10 may first register as a member using user information in order to perform a personalized scent recommendation service with the management server 20, but is not limited to this and can use the personalized scent recommendation service using a one-time ID. It may be possible.
  • the user terminal 10 when the user terminal 10 is provided with a personalized scent recommendation service through the management server 20, the user terminal 10 makes payment through a separate payment server (not shown) or a payment service provided by the management server 20. It is desirable that the procedure be carried out.
  • the payment procedure is omitted as it is a known technology.
  • the user terminal 10 may generate a feedback signal for the personalized scent recommendation service and transmit it to the management server 20 after or while using the personalized scent recommendation service. In contrast, the user terminal 10 may transmit the personalized scent recommendation service before use or in real time.
  • the user terminal 10 may receive a feedback control signal corresponding to the feedback signal before, during, or after using the personalized scent recommendation service.
  • the feedback signal may include information such as satisfaction, accuracy, and reliability for the personalized scent recommendation service
  • the feedback control signal may include improved or updated information on the personalized scent recommendation service corresponding to the feedback signal.
  • the feedback control signal may include event information.
  • Event information may include, but is not limited to, advertisements or information about discounts or events for personalized scent recommendation services.
  • additional data is transmitted at the request of the management server 20 and received customized scent information reflecting the additional data. can do.
  • the user terminal 10 may receive customized scent information that reflects only additional data, or may receive only customized scent information that does not reflect additional data.
  • the user terminal 10 may include a management server 20 or various portable electronic communication devices that support communication with the user terminal 30.
  • the user terminal 10 is a separate smart device, such as a smart phone, a personal digital assistant (PDA), a tablet, a wearable device, a smartwatch, It may include various portable terminals such as glass-type terminals (including Smart Glass, HMD (Head Mounted Display), etc.) and various IoT (Internet of Things) terminals, but in contrast, non-portable desktop computers and It may include electronic communication devices such as workstation computers.
  • PDA personal digital assistant
  • HMD Head Mounted Display
  • IoT Internet of Things
  • the user terminal 10 can operate using an application program (application program or application) in the present disclosure, and such application program can be downloaded from an external server or management server 20 through wireless communication. there is.
  • application program application program or application
  • the user terminal 10 can receive a personalized scent recommendation service by transmitting and receiving playback data with the management server 20 in real time.
  • a personalized scent recommendation service by transmitting and receiving playback data with the management server 20 in real time.
  • the user terminal 10 plays music during the standard playback time using playback data
  • customized scent information corresponding to the user's emotional state information that changes in real time during music playback can be received based on the standard data.
  • the user terminal 10 is provided with a personalized scent recommendation service, a positive emotional state can be maintained or induced, and at the same time, the user can be provided with customized scent information optimized for the user's current state of emotion.
  • the personalized scent recommendation service system (1) which is an embodiment of the present invention, is a personalized scent with high objectivity, accuracy, and quantification of the user who requests a personalized scent recommendation service using the user's real-time changing emotional state information.
  • the management server 20 may include a data transmission/reception unit 22, a database unit 24, a display unit 26, and a management control unit 28.
  • the data transmitting and receiving unit 22 can transmit and receive data for a personalized scent recommendation service with the user terminal 10 in real time.
  • the data transmitting and receiving unit 22 may receive user information from the user terminal 10 and transmit playback data and customized scent information to the user terminal 10.
  • the data transmitting and receiving unit 22 may transmit and receive data for performing a personalized scent recommendation service with the user terminal 10 and the manager terminal 30 in real time.
  • the data transmitting and receiving unit 22 may receive a feedback signal from the user terminal 10 and transmit a feedback control signal corresponding to the feedback signal to the user terminal 10.
  • the data transmitting and receiving unit 22 may receive additional data from the user terminal 10.
  • the database unit 24 can store data transmitted and received from the user terminal 10 through a wireless communication network.
  • the database unit 24 can store data supporting various functions of the management server 20.
  • the database unit 24 may store a number of application programs (application programs or applications) running on the management server 20, data for operation of the management server 20, and commands. At least some of these applications may be downloaded from an external server through wireless communication.
  • the display unit 26 displays the operating state of the user terminal 10 by user manipulation, the operating state of the management server 20, and data transmitted and received between the user terminal 10 and the management server 20 through the screen. It can be monitored. In other words, by checking the usage status of the user terminal 10 in real time, it is possible to conveniently use the user and provide the user with greater confidence.
  • the management control unit 28 generates playback data using the recommendation request information received from the user terminal 10 based on standard data, and determines the emotional state of the user terminal 10 in consideration of the playback time of the generated playback data. Customized scent information corresponding to the change can be generated and transmitted to the user terminal 10.
  • the management control unit 28 may analyze recommendation request information input from the user terminal 10 and generate playback data corresponding to the user's selection based on standard data.
  • the management control unit 28 may generate playback data containing music desired by the user by analyzing user information included in the recommendation request information based on the request data included in the recommendation request information.
  • the management control unit 28 uses the user information of the user terminal 10 to provide objective information such as people in their 20s, single, female, doctors, pets, sunny weather, travel, likes swimming, and peppermint scent. Playback data can be generated using preferred subjective information.
  • the management control unit 28 may generate general playback data using standard data based on user information.
  • the management control unit 28 determines changes in the emotion of the user terminal 10 during music playback in consideration of the playback time of the playback data and provides emotional state information. can be created.
  • the management control unit 28 compares and analyzes the playback data based on standard data.
  • emotional state information can be generated.
  • the management control unit 28 determines that music has been played when the actual playback time of the playback data is 1 minute or more and generates emotional state information reflecting the current emotional state. You can.
  • the management control unit 28 determines that the music is not played when the actual playback time of the playback data is 1 minute or less and provides emotional state information that does not reflect the current emotional state. can be created.
  • the management control unit 28 analyzes the subjective information included in the user information and First emotional state information is generated by identifying the previous emotional state before music playback. Second emotional state information is generated by analyzing playback data to determine the user's current emotional state during music playback. The first emotional state information and By analyzing the second emotional state information, third emotional state information corresponding to changes in the user's emotional state can be generated.
  • the management control unit 28 may determine that the first emotional state information and the second emotional state information are not similar and generate the third emotional state information. there is.
  • the management control unit 28 may determine that the first emotional state information and the second emotional state information are similar and generate third emotional state information.
  • the management control unit 28 can generate second emotional state information by extracting the user's patterns and keywords from the playback data.
  • the management control unit 28 may determine whether the user's patterns and keywords extracted from the playback data are text or voice and preprocess the extracted data so that it is clearly recognized.
  • the management control unit 28 may preprocess it by sequentially performing tokenization, cleaning, and normalization. That is, the management control unit 28 performs a tokenization operation to filter data consisting of text, a refinement operation to remove noise data included in the tokenized data, and then the refinement operation is performed. The finished data can be normalized and preprocessed.
  • the management control unit 28 performs tokenization using a space removal filter and a special character removal filter so that the words included in the text are divided into the minimum unit of meaningful words, and then After performing a refinement operation to highlight the meaning of the remaining words by removing noise data for words that appear less frequently or those words that are repeated a lot, the refined data can be normalized and preprocessed.
  • the management control unit 28 can quantify the noise data and determine whether to delete it in response to the user information of the user terminal 10.
  • the management control unit 28 may automatically check and convert typos included in the text or automatically remove duplicate data.
  • the management control unit 28 can extract each word from voice over 10 seconds and convert the extracted words into text.
  • the converted text may be preprocessed.
  • the management control unit 28 may preprocess the conversation data and convert it into text. Converted text can be preprocessed.
  • second emotional state information may be generated by extracting user patterns and keywords included in playback data generated using objective information and subjective information.
  • the management control unit 28 uses the user information of the user terminal 10 to provide objective information such as people in their 20s, single, female, doctors, pets, likes clear weather, travel, swimming, and prefers peppermint flavor.
  • objective information such as people in their 20s, single, female, doctors, pets, likes clear weather, travel, swimming, and prefers peppermint flavor.
  • user patterns and keywords such as 'travel', 'swimming', 'skin scuba', and 'dog companion' can be extracted.
  • the management control unit 28 uses the emotional state information generated by identifying changes in the emotional state of the user terminal 10 to provide customized scent information corresponding to the change in the emotional state so that the user's positive emotional state is maintained or induced. can be created.
  • the management control unit 28 may generate customized scent information so that the second emotional state information is guided to the first emotional state information.
  • the management control unit 28 Can generate customized scent information such that the second emotional state information of a negative emotional state is guided to the first emotional state information of a positive emotional state.
  • the management control unit 28 may generate customized scent information so that the second emotional state information is maintained.
  • the management control unit 28 Can generate customized scent information so that the first emotional state information of a positive emotional state continues to be maintained.
  • management control unit 28 can generate standard data by repeatedly learning using deep learning techniques or machine learning techniques based on big data.
  • the management control unit 28 can generate standard data with high accuracy by testing the generated standard data.
  • management control unit 28 may generate a feedback control signal that can improve the personalized scent recommendation service in response to the feedback signal received from the user terminal 10.
  • the management control unit 28 may generate a feedback control signal containing event information to increase the use of the personalized scent recommendation service of the user terminal 10.
  • the management control unit 28 receives recommendation request information from the user terminal 10 and, if it is unable to generate playback data or customized scent information corresponding to the recommendation request information, before transmitting the personalized scent information. After receiving additional data through the user terminal 10, playback data or customized scent information can be generated by considering the additional data.
  • the management control unit 28 can generate playback data or customized scent information reflecting additional data.
  • the management control unit 28 may generate playback data or customized scent information that reflects only additional request information without reflecting additional data, or may generate playback data or customized scent information that does not reflect additional data.
  • the management server 20 can process the corresponding payment service automatically or according to the user's priority information.
  • the payment procedure of the user terminal 10 may be processed through a separate payment server.
  • Such management server 20 may be implemented by hardware circuits (eg, CMOS-based logic circuits), firmware, software, or a combination thereof.
  • CMOS-based logic circuits e.g., CMOS-based logic circuits
  • firmware e.g., firmware
  • software e.g., firmware
  • a combination thereof e.g., firmware
  • software e.g., firmware
  • a combination thereof e.g., firmware, software, or a combination thereof.
  • it can be implemented using transistors, logic gates, and electronic circuits in the form of various electrical structures.
  • the administrator terminal 30 is a terminal owned by a separate administrator, and can transmit and receive data in real-time synchronization with the user terminal 10 and the management server 20 using a wireless communication network. At this time, the administrator terminal 30 can transmit and receive data using an application program (application program).
  • an application program application program
  • the administrator terminal 30 can learn the standard data received from the management server 20, analyze the request data received from the user terminal 10, and generate result data using the result information corresponding to the request data. .
  • This manager terminal 30 may include various portable electronic communication devices that support communication with the user terminal 10 and the management server 20.
  • various portable electronic communication devices such as smart Glass, HMD (Head Mounted Display), etc.) and various IoT (Internet of Things) terminals.
  • FIG. 3 is a diagram for explaining a personalized scent recommendation service method according to an embodiment of the present invention
  • FIG. 4 is a diagram for explaining the step of generating customized scent information shown in FIG. 3
  • FIG. 5 is a diagram for explaining a personalized scent recommendation service method according to an embodiment of the present invention. This diagram is intended to explain the steps for generating the depicted emotional state information.
  • the management server 20 can generate standard data (S10).
  • the management server 20 can generate standard data by repeatedly learning using deep learning techniques or machine learning techniques based on big data.
  • the management server 20 may preprocess the collected big data and convert it into classifiable data, then classify the converted data and repeatedly learn the classified data to generate standard data.
  • the management server 20 may convert data into classifiable data through RPA (Robot Process Automation) preprocessing, but is not limited to this.
  • RPA Robot Process Automation
  • the management server 20 may receive recommendation request information from the user terminal 10 (S12).
  • the user terminal 20 may generate recommendation request information by a user requesting a personalized scent recommendation service.
  • the recommendation request information may include user information consisting of objective information and subjective information, and request data for scent recommendation requesting a personalized scent recommendation service, but is not limited to this.
  • the user information may be entered by the user through prior membership registration in order to perform a personalized scent recommendation service, but is not limited to this and may be entered on a one-time basis without membership registration.
  • the management server 20 provides recommendation information using user information consisting of objective information and subjective information received from the user terminal 10 and request data for scent recommendation requesting a personalized scent recommendation service. can be created.
  • the management server 20 can generate playback data corresponding to the user's selection using recommendation request information based on standard data (S14).
  • the management server 20 may generate playback data containing music desired by the user by analyzing user information included in the recommendation request information based on the request data included in the recommendation request information.
  • the management server 20 uses the user information of the user terminal 10 to provide objective information such as people in their 20s, single, female, doctors, pets, sunny weather, travel, likes swimming, and peppermint scent. Playback data can be generated using preferred subjective information.
  • the management server 20 may generate general playback data using standard data based on user information.
  • the management server 20 may transmit the generated playback data to the user terminal 10 and provide a personalized scent recommendation service to the user terminal 10 (S16).
  • the user terminal 10 can receive a personalized scent recommendation service through communication with the management server 20.
  • the user terminal 10 may output playback data visually and audibly separately or simultaneously.
  • the management server 20 can generate customized scent information by analyzing the playback data based on the standard data. There is (S18).
  • the management server 20 compares and analyzes the playback data based on standard data (S100), and when the actual playback time of the playback data is played during the preset standard playback time ( S110), emotional state information can be generated (S120).
  • the management server 20 may determine that music has been played and generate emotional state information when the actual playback time of the playback data is more than 1 minute.
  • the management server 20 may determine that music is not played when the actual playback time of the playback data is 1 minute or less.
  • the management server 20 can analyze the emotional state information and determine changes in the user's current emotional state (S130).
  • the management server 20 stores the information included in the user information. By analyzing subjective information, the previous emotional state before music playback can be identified and first emotional state information can be generated (S200).
  • the management server 20 may analyze the playback data to identify the user's current emotional state while playing music and generate second emotional state information (S210).
  • the management server 20 may generate second emotional state information by extracting the user's patterns and keywords from the playback data.
  • the management server 30 may preprocess it by sequentially performing tokenization, cleaning, and normalization. That is, the management control unit 28 performs a tokenization operation to filter data consisting of text, a refinement operation to remove noise data included in the tokenized data, and then the refinement operation is performed. The finished data can be normalized and preprocessed.
  • the management control unit 28 can extract each word from voice over 10 seconds and convert the extracted words into text.
  • the converted text may be preprocessed.
  • the management control unit 28 may preprocess the conversation data and convert it into text. Converted text can be preprocessed.
  • the second emotional state information may be generated by extracting the user's patterns and keywords included in playback data generated using objective information and subjective information.
  • the management server 20 may generate third emotional state information by comparing the generated first and second emotional state information with reference emotional state information.
  • the management server 20 determines that the first emotional state information and the second emotional state information are not similar (S230). Corresponding third emotional state information can be generated (S240).
  • the management server 20 Can generate third emotional state information that can lead the second emotional state information of a negative emotional state to the first emotional state information of a positive emotional state.
  • the management server 20 determines that the first emotional state information and the second emotional state information are similar (S250) and responds accordingly.
  • Third emotional state information can be generated (S260).
  • the management control unit 28 Can generate third emotional state information so that the first emotional state information of a positive emotional state continues to be maintained.
  • the management server 20 can generate customized scent information reflecting the current emotional state using the third emotional state information (S140).
  • the management server 20 uses the third emotional state information generated to guide the second emotional state information to the first emotional state information when the second emotional state information is lower than the preset standard emotional information. To generate reflected customized scent information, and to generate customized scent information reflecting the emotional state using the generated third emotional state information so that the second emotional state information is maintained when the second emotional state information is higher than the preset standard emotional information. You can.
  • Customized scent information can be created (S150).
  • the management server 20 may receive a feedback signal for the personalized scent recommendation service from the user terminal 10 (S20).
  • the user terminal 10 may receive a personalized scent recommendation service corresponding to the request data and then generate a feedback signal for the personalized scent recommendation service.
  • the feedback signal may include information such as satisfaction, accuracy, and reliability for the personalized scent recommendation service.
  • the management server 20 may generate a feedback control signal that can improve the personalized scent recommendation service in response to the feedback signal received from the user terminal 10 (S22).
  • the user terminal 10 may receive a feedback control signal containing improved or updated information of the personalized scent recommendation service in response to the feedback signal before, during, or after using the personalized scent recommendation service. You can.
  • the feedback control signal may include event information.
  • Event information may include, but is not limited to, advertisements or information about discounts or events for personalized scent recommendation services.
  • the manager terminal 30 may generate a feedback control signal that can improve a personalized scent recommendation service in response to the feedback signal.
  • the management server 20 can update the standard data in real time using the customized scent information (S24).
  • the management server 20 may update standard data in real time in response to the feedback signal and the feedback control signal.
  • manager terminal 30 can monitor the personalized scent recommendation service in real time (S26).
  • the steps of the method or algorithm described in connection with embodiments of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof.
  • Software modules can be RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), Flash Memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the invention pertains.

Abstract

The present invention provides a personalized fragrance recommendation service providing system and method therefor. The personalized fragrance recommendation service providing method, performed by a server, may comprise the steps of: receiving, from a user, recommendation request information including user information; if music is played for a pre-set reference playback time on the basis of playback data generated according to a selection by the user by using the recommendation request information, generating customized fragrance information by using emotional state information generated by comparing and analyzing the playback data on the basis of the user data; and providing a fragrance recommendation service to the user in response to the customized fragrance information, wherein the generating of the customized fragrance information may comprise the steps of: generating first emotional state information by determining a previous emotional state before the music is played by analyzing subjective information included in the user information; generating second emotional state information by determining the present emotional state of the user while the music is being played by analyzing the playback data; generating third emotional state information corresponding to an emotional state change of the user by analyzing the first emotional state information and the second emotional state information; and generating the customized fragrance information on the basis of the third emotional state information.

Description

개인 맞춤형 향기 추천 서비스 시스템 및 그 방법Personalized scent recommendation service system and method
본 발명은 개인 맞춤형 향기 추천 서비스 시스템 및 그 방법에 관한 것으로써, 특히 사용자의 재생데이터를 이용하여 사용자의 패턴 및 키워드를 추출하여 음악재생 이전의 감정상태와 음악재생 중의 감정상태를 파악하여 긍정적인 감정상태가 유지 또는 유도되도록 이에 대응하는 향기를 개인별 맞춤형으로 추천할 수 있는 개인 맞춤형 향기 추천 서비스 시스템 및 그 방법에 관한 것이다.The present invention relates to a personalized scent recommendation service system and method. In particular, the present invention relates to a personalized scent recommendation service system and method. In particular, the user's patterns and keywords are extracted using the user's playback data, and the emotional state before and during music playback is identified to identify positive The present invention relates to a personalized scent recommendation service system and method that can individually recommend a corresponding scent to maintain or induce an emotional state.
일반적으로 향수(perfume)는 사람들에게 패션의 일부이자 자기표현의 수단으로 여겨지고 있다.In general, perfume is regarded by people as a part of fashion and a means of self-expression.
그런데, 향수의 경우에는 사용자들(소비자들)이 매장에서 향수를 직접 시향해 보지 않는 이상 사용자들이 원하는 향을 찾기란 쉽지 않다.However, in the case of perfume, it is not easy for users (consumers) to find the scent they want unless they try the perfume in person at a store.
이에 따라, 근래에 들어, 사람들에게 필요한 그리고 적합한 향기를 추천하기 위한 솔루션이 다양하게 소개되고 있다.Accordingly, in recent years, a variety of solutions have been introduced to recommend scents that are necessary and suitable for people.
전통적인 판매 채널이라고 할 수 있는 오프라인 상점에서는, 향수나 향초에 대한 풍부한 지식을 갖추고 있는 점원이나 전문가가 상담을 통해 사용자의 취향이나 선호를 파악하고 그에 기초하여 사용자에게 적합한 향기를 추 천하는 것이 일반적이었다.In offline stores, which can be considered a traditional sales channel, it was common for store clerks or experts with extensive knowledge of perfumes and scented candles to consult with users to understand their tastes and preferences and recommend scents suitable for them based on that. .
최근에는, 온라인 상점에서 사용자와의 질의응답을 통해 획득되는 정보로부터 파악되는 사용자의 취향이나 선호에 기초하여 사용자에게 적합한 향기를 추천하는 기술이 소개되고 있다.Recently, technology has been introduced to recommend a scent suitable for a user based on the user's tastes or preferences obtained from information obtained through Q&A with the user in an online store.
하지만, 위와 같은 종래 기술에 따르면, 판매자 또는 서비스 제공자가 사용자의 취향을 파악하기 위해 사용자에게 질문을 던지고 그에 대한 답변을 받는 번거로운 과정을 거쳐야 하고, 사용자 역시 많은 질문에 일일이 답해야 하는 불편함을 겪게 되는 문제가 발생할 수 있고, 이러한 문제로 인해 사용자의 취향을 파악하기 위해 필요한 정보를 충분하게 수집하기가 어렵다는 한계가 존재하였다(대한민국 공개특허 제10-2017-0018778호 참조).However, according to the above prior art, the seller or service provider has to go through the cumbersome process of asking the user questions and receiving answers to determine the user's tastes, and the user also experiences the inconvenience of having to answer many questions one by one. problems may arise, and due to these problems, there was a limitation that it was difficult to sufficiently collect the information necessary to determine the user's tastes (see Korean Patent Publication No. 10-2017-0018778).
상기의 배경기술로서 설명된 사항들은 본 발명의 배경에 대한 이해 증진을 위한 것을 뿐, 이 기술분야에서 통상의 지식을 가진 자에게 이미 알려진 종래기술에 해당함을 인정하는 것으로 받아들여서는 안될 것이다.The matters described as background technology above are only for the purpose of improving understanding of the background of the present invention, and should not be taken as an acknowledgment that they correspond to prior art already known to those skilled in the art.
본 발명이 해결하고자 하는 과제는 개인 맞춤형 향기 추천 서비스 시스템 및 그 방법을 제공하는 것이다.The problem to be solved by the present invention is to provide a personalized scent recommendation service system and method.
본 발명이 해결하고자 하는 과제들은 이상에서 언급된 과제로 제한되지 않으며, 언급되지 않은 또 다른 과제들은 아래의 기재로부터 통상의 기술자에게 명확하게 이해될 수 있을 것이다.The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned can be clearly understood by those skilled in the art from the description below.
상술한 과제를 해결하기 위한 본 발명의 일실시예에 따른 개인 맞춤형 향기 추천 서비스 시스템 방법은, 서버에 의해 수행되는 개인 맞춤형 향기 추천 서비스 제공 방법에 있어서, 사용자로부터 사용자정보가 포함된 추천요청정보를 수신하는 단계; 상기 추천요청정보를 이용하여 사용자의 선택에 따라 생성된 재생데이터를 기초로 기 설정된 기준재생시간 동안 음악이 재생되는 경우, 상기 사용자정보를 기초로 상기 재생데이터를 비교 및 분석하여 생성된 감정상태정보를 이용하여 맞춤향기정보를 생성하는 단계; 및 상기 맞춤향기정보에 대응하여 사용자에게 향기 추천 서비스를 제공하는 단계를 포함하고, 상기 맞춤향기정보를 생성하는 단계는, 상기 사용자정보에 포함된 주관적정보를 분석하여 음악재생 이전의 이전감정상태를 파악하여 제1 감정상태정보를 생성하는 단계; 상기 재생데이터를 분석하여 음악재생 중의 사용자의 현재감정상태를 파악하여 제2 감정상태정보를 생성하는 단계; 상기 제1 감정상태정보 및 상기 제2 감정상태정보를 분석하여 사용자의 감정상태변화에 대응하는 제3 감정상태정보를 생성하는 단계; 및 상기 제3 감정상태정보를 기초로 상기 맞춤향기정보를 생성하는 단계를 포함할 수 있다.The personalized scent recommendation service system method according to an embodiment of the present invention to solve the above-described problem is a method of providing a personalized scent recommendation service performed by a server, where recommendation request information including user information is received from the user. receiving; When music is played for a preset standard playback time based on playback data generated according to the user's selection using the recommendation request information, emotional state information generated by comparing and analyzing the playback data based on the user information Generating customized scent information using; And providing a scent recommendation service to the user in response to the customized scent information, wherein the step of generating the customized scent information includes analyzing subjective information included in the user information to determine the previous emotional state before music playback. Identifying and generating first emotional state information; Analyzing the playback data to identify the user's current emotional state while playing music and generating second emotional state information; Analyzing the first emotional state information and the second emotional state information to generate third emotional state information corresponding to a change in the user's emotional state; And it may include generating the customized scent information based on the third emotional state information.
본 발명의 일 실시예에 있어서, 상기 제2 감정상태정보를 생성하는 단계는, 상기 재생데이터로부터 사용자의 패턴 및 키워드를 추출하는 단계를 포함할 수 있다.In one embodiment of the present invention, generating the second emotional state information may include extracting user patterns and keywords from the playback data.
본 발명의 일 실시예에 있어서, 상기 제3 감정상태정보를 생성하는 단계는, 상기 제2 감정상태정보가 기 설정된 기준감정정보보다 낮은 경우 상기 제1 감정상태정보와 상기 제2 감정상태정보가 유사하지 않다고 판단하여 상기 제3 감정상태정보를 생성하고, 상기 제2 감정상태정보가 기 설정된 기준감정정보보다 높은 경우 상기 제1 감정상태정보와 상기 제2 감정상태정보가 유사하다고 판단하여 상기 제3 감정상태정보를 생성하는 단계를 포함할 수 있다.In one embodiment of the present invention, the step of generating the third emotional state information includes, when the second emotional state information is lower than the preset reference emotional state information, the first emotional state information and the second emotional state information are The third emotional state information is generated by determining that they are not similar, and when the second emotional state information is higher than the preset standard emotional information, it is determined that the first emotional state information and the second emotional state information are similar, and the second emotional state information is determined to be similar. 3 It may include the step of generating emotional state information.
본 발명의 일 실시예에 있어서, 상기 맞춤향기정보를 생성하는 단계는, 상기 제2 감정상태정보가 기 설정된 기준감정정보보다 낮은 경우 상기 제2 감정상태정보가 상기 제1 감정상태정보로 유도되도록 상기 맞춤향기정보를 생성하고, 상기 제2 감정상태정보가 기 설정된 기준감정정보보다 높은 경우 상기 제2 감정상태정보가 유지되도록 상기 맞춤향기정보를 생성할 수 있다.In one embodiment of the present invention, the step of generating the customized scent information includes: when the second emotional state information is lower than the preset reference emotional state information, the second emotional state information is guided to the first emotional state information. The customized scent information may be generated, and if the second emotional state information is higher than preset standard emotional information, the customized scent information may be generated so that the second emotional state information is maintained.
또한, 상술한 과제를 해결하기 위한 본 발명의 다른 일실시예에 따른 개인 맞춤형 향기 추천 서비스 시스템은, 사용자 단말기에게 개인 맞춤형 향기 추천 서비스를 제공하는 관리서버;를 포함하고, 상기 관리서버는, 상기 사용자 단말기로부터 주관적정보 및 객관적정보가 포함된 사용자정보를 수신하고, 사용자의 선택에 따라 생성된 재생데이터를 기초로 기 설정된 기준재생시간 동안 음악이 재생되는 경우, 상기 사용자정보를 기초로 상기 재생데이터를 비교 및 분석하여 맞춤향기정보를 생성하며, 상기 맞춤향기정보에 대응하여 사용자에게 향기 추천 서비스를 제공하고, 상기 관리서버는, 상기 사용자정보를 기초로 상기 주관적정보를 분석하여 음악재생 이전의 이전감정상태를 파악하여 제1 감정상태정보를 생성하고, 상기 재생데이터를 분석하여 음악재생 중의 사용자의 현재감정상태를 파악하여 제2 감정상태정보를 생성하며, 상기 제1 감정상태정보 및 상기 제2 감정상태정보를 분석하여 사용자의 감정상태변화에 대응하는 제3 감정상태정보를 생성하고, 상기 제3 감정상태정보를 기초로 상기 맞춤향기정보를 생성할 수 있다.In addition, a personalized scent recommendation service system according to another embodiment of the present invention for solving the above-described problem includes a management server that provides a personalized scent recommendation service to a user terminal, and the management server includes the User information including subjective information and objective information is received from the user terminal, and when music is played for a preset standard playback time based on playback data generated according to the user's selection, the playback data is generated based on the user information. Generate customized scent information by comparing and analyzing, and provide a scent recommendation service to the user in response to the customized scent information. The management server analyzes the subjective information based on the user information and provides information prior to music playback. Generate first emotional state information by identifying the emotional state, analyze the playback data to determine the current emotional state of the user while playing music, and generate second emotional state information, and generate the first emotional state information and the second emotional state information. By analyzing emotional state information, third emotional state information corresponding to changes in the user's emotional state can be generated, and the customized scent information can be generated based on the third emotional state information.
본 발명의 일실시예에 따른 프로그램은 하드웨어인 컴퓨터와 결합되어, 상기 개인 맞춤형 향기 추천 서비스 제공 방법을 수행할 수 있도록 컴퓨터에서 독출가능한 기록매체에 저장된다.The program according to one embodiment of the present invention is combined with a computer as hardware and stored in a computer-readable recording medium to perform the method of providing a personalized scent recommendation service.
본 발명의 기타 구체적인 사항들은 상세한 설명 및 도면들에 포함되어 있다.Other specific details of the invention are included in the detailed description and drawings.
본 발명에 따르면, 사용자의 실시간으로 변화되는 감정상태에 대응하여 개인별 맞춤형 향기 추천 서비스를 제공함으로써, 사용자의 현재 상태의 감정에 최적화된 향기 정보를 제공할 수 있다.According to the present invention, by providing a personalized scent recommendation service in response to the user's emotional state that changes in real time, scent information optimized for the user's current state of emotions can be provided.
본 발명에 따르면, 사용자의 이전 및 현재의 감정상태를 실시간으로 인식함으로써, 사용자의 현재 감정상태를 긍정적인 방향으로 유도 또는 유지하도록 개인별 맞춤형 향기를 추천할 수 있다.According to the present invention, by recognizing the user's previous and current emotional state in real time, a personalized scent can be recommended to induce or maintain the user's current emotional state in a positive direction.
본 발명의 효과들은 이상에서 언급된 효과로 제한되지 않으며, 언급되지 않은 또 다른 효과들은 아래의 기재로부터 통상의 기술자에게 명확하게 이해될 수 있을 것이다.The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.
도 1은 본 발명의 일실시예에 따른 개인 맞춤형 향기 추천 서비스 시스템을 설명하기 위한 개념도이다.1 is a conceptual diagram illustrating a personalized scent recommendation service system according to an embodiment of the present invention.
도 2는 도 1에 도시된 개인 맞춤형 향기 추천 서비스 시스템의 상세 구성을 설명하기 위한 도면이다.FIG. 2 is a diagram for explaining the detailed configuration of the personalized scent recommendation service system shown in FIG. 1.
도 3은 본 발명의 일실시예인 개인 맞춤형 향기 추천 서비스 방법을 설명하기 위한 도면이다.Figure 3 is a diagram for explaining a personalized scent recommendation service method according to an embodiment of the present invention.
도 4는 도 3에 도시된 맞춤향기정보를 생성하는 단계를 설명하기 위한 도면이다.FIG. 4 is a diagram for explaining the step of generating customized scent information shown in FIG. 3.
도 5는 도 4에 도시된 감정상태정보를 생성하는 단계를 설명하기 위한 도면이다.FIG. 5 is a diagram for explaining the step of generating emotional state information shown in FIG. 4.
본 발명의 이점 및 특징, 그리고 그것들을 달성하는 방법은 첨부되는 도면과 함께 상세하게 후술되어 있는 실시예들을 참조하면 명확해질 것이다. 그러나, 본 발명은 이하에서 개시되는 실시예들에 제한되는 것이 아니라 서로 다른 다양한 형태로 구현될 수 있으며, 단지 본 실시예들은 본 발명의 개시가 완전하도록 하고, 본 발명이 속하는 기술 분야의 통상의 기술자에게 본 발명의 범주를 완전하게 알려주기 위해 제공되는 것이며, 본 발명은 청구항의 범주에 의해 정의될 뿐이다.The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide a general understanding of the technical field to which the present invention pertains. It is provided to fully inform the skilled person of the scope of the present invention, and the present invention is only defined by the scope of the claims.
본 명세서에서 사용된 용어는 실시예들을 설명하기 위한 것이며 본 발명을 제한하고자 하는 것은 아니다. 본 명세서에서, 단수형은 문구에서 특별히 언급하지 않는 한 복수형도 포함한다. 명세서에서 사용되는 "포함한다(comprises)" 및/또는 "포함하는(comprising)"은 언급된 구성요소 외에 하나 이상의 다른 구성요소의 존재 또는 추가를 배제하지 않는다. 명세서 전체에 걸쳐 동일한 도면 부호는 동일한 구성 요소를 지칭하며, "및/또는"은 언급된 구성요소들의 각각 및 하나 이상의 모든 조합을 포함한다. 비록 "제1", "제2" 등이 다양한 구성요소들을 서술하기 위해서 사용되나, 이들 구성요소들은 이들 용어에 의해 제한되지 않음은 물론이다. 이들 용어들은 단지 하나의 구성요소를 다른 구성요소와 구별하기 위하여 사용하는 것이다. 따라서, 이하에서 언급되는 제1 구성요소는 본 발명의 기술적 사상 내에서 제2 구성요소일 수도 있음은 물론이다.The terminology used herein is for describing embodiments and is not intended to limit the invention. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. As used in the specification, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other elements in addition to the mentioned elements. Like reference numerals refer to like elements throughout the specification, and “and/or” includes each and every combination of one or more of the referenced elements. Although “first”, “second”, etc. are used to describe various components, these components are of course not limited by these terms. These terms are merely used to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may also be a second component within the technical spirit of the present invention.
다른 정의가 없다면, 본 명세서에서 사용되는 모든 용어(기술 및 과학적 용어를 포함)는 본 발명이 속하는 기술분야의 통상의 기술자에게 공통적으로 이해될 수 있는 의미로 사용될 수 있을 것이다. 또한, 일반적으로 사용되는 사전에 정의되어 있는 용어들은 명백하게 특별히 정의되어 있지 않는 한 이상적으로 또는 과도하게 해석되지 않는다.Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention pertains. Additionally, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless clearly specifically defined.
이하, 첨부된 도면을 참조하여 본 발명의 실시예를 상세하게 설명한다.Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.
도 1은 본 발명의 일실시예에 따른 개인 맞춤형 향기 추천 서비스 시스템을 설명하기 위한 개념도이고, 도 2는 도 1에 도시된 개인 맞춤형 향기 추천 서비스 시스템의 상세 구성을 설명하기 위한 도면이다.Figure 1 is a conceptual diagram for explaining a personalized scent recommendation service system according to an embodiment of the present invention, and Figure 2 is a diagram for explaining the detailed configuration of the personalized scent recommendation service system shown in Figure 1.
도 1 및 도 2에 도시된 바와 같이, 본 발명의 일실시예인 개인 맞춤형 향기 추천 서비스 시스템(1)은 사용자 단말기(10), 관리서버(20) 및 관리자 단말기(30)를 포함할 수 있다. 이때, 실시예에 따라, 관리자 단말기(30)는 생략될 수 있다.As shown in Figures 1 and 2, the personalized scent recommendation service system 1, which is an embodiment of the present invention, may include a user terminal 10, a management server 20, and an administrator terminal 30. At this time, depending on the embodiment, the manager terminal 30 may be omitted.
여기서, 사용자 단말기(10), 관리서버(20) 및 관리자 단말기(30)는 무선통신망을 이용하여 실시간으로 동기화되어 데이터를 송수신할 수 있다. 무선통신망은 다양한 원거리 통신 방식이 지원될 수 있으며, 예를 들어 무선랜(Wireless LAN: WLAN), DLNA(Digital Living Network Alliance), 와이브로(Wireless Broadband: Wibro), 와이맥스(World Interoperability for Microwave Access: Wimax), GSM(Global System for Mobile communication), CDMA(Code Division Multi Access), CDMA2000(Code Division Multi Access 2000), EV-DO(Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), WCDMA(Wideband CDMA), HSDPA(High Speed Downlink Packet Access), HSUPA(High Speed Uplink Packet Access), IEEE 802.16, 롱 텀 에볼루션(Long Term Evolution: LTE), LTEA(Long Term Evolution-Advanced), 광대역 무선 이동 통신 서비스(Wireless Mobile Broadband Service: WMBS), BLE(Bluetooth Low Energy), 지그비(Zigbee), RF(Radio Frequency), LoRa(Long Range) 등과 같은 다양한 통신 방식이 적용될 수 있으나 이에 한정되지 않으며 널리 알려진 다양한 무선통신 또는 이동통신 방식이 적용될 수도 있다.Here, the user terminal 10, management server 20, and administrator terminal 30 can transmit and receive data in real time in synchronization using a wireless communication network. The wireless communication network may support various long-distance communication methods, such as Wireless LAN (WLAN), DLNA (Digital Living Network Alliance), Wibro (Wireless Broadband: Wibro), and Wimax (World Interoperability for Microwave Access: Wimax). ), GSM (Global System for Mobile communication), CDMA (Code Division Multi Access), CDMA2000 (Code Division Multi Access 2000), EV-DO (Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), WCDMA (Wideband CDMA) , HSDPA (High Speed Downlink Packet Access), HSUPA (High Speed Uplink Packet Access), IEEE 802.16, Long Term Evolution (LTE), LTEA (Long Term Evolution-Advanced), broadband wireless mobile communication service (Wireless Mobile) Broadband Service: Various communication methods such as WMBS (WMBS), BLE (Bluetooth Low Energy), Zigbee, RF (Radio Frequency), LoRa (Long Range), etc. may be applied, but are not limited to these and include various widely known wireless or mobile communications. method may be applied.
우선, 본 실시예에서, 개인 맞춤형 향기 추천 서비스 시스템(1)을 이용하는 관리서버(20)로부터 전송된 재생데이터를 이용하여 음악을 재생할 수 있는 공간 또는 장소에서 위치한 사용자 단말기(10)에게 개인 맞춤형 향기 추천 서비스를 제공하는 것으로 개시하였지만, 이에 한정하지 않는다.First, in this embodiment, a personalized scent is provided to the user terminal 10 located in a space or place where music can be played using playback data transmitted from the management server 20 using the personalized scent recommendation service system 1. Although it started out as providing a recommendation service, it is not limited to this.
예를 들어, 음향기기가 제공되는 차량 등의 이동수단, 극장, 영화관, 콘서트장 등의 공간에 위치하는 복수의 사용자 단말기(10)에게 개별적 또는 동시에 개인 맞춤형 향기 추천 서비스를 제공할 수 있다.For example, a personalized scent recommendation service can be provided individually or simultaneously to a plurality of user terminals 10 located in spaces such as transportation means such as vehicles equipped with sound equipment, theaters, movie theaters, and concert halls.
사용자 단말기(10)는 관리서버(20) 또는 관리자 단말기(30)와의 통신을 통해 개인 맞춤형 향기 추천 서비스를 제공받을 수 있다.The user terminal 10 can receive a personalized scent recommendation service through communication with the management server 20 or the administrator terminal 30.
구체적으로, 사용자 단말기(10)는 개인 맞춤형 향기 추천 서비스를 통해 관리서버(20)로 추천요청정보를 전송하고, 관리서버(20)로부터 추천요청정보에 대응하는 재생데이터와, 재생데이터를 기초로 생성된 맞춤향기정보를 수신할 수 있다.Specifically, the user terminal 10 transmits recommendation request information to the management server 20 through a personalized scent recommendation service, and receives playback data corresponding to the recommendation request information from the management server 20 based on the playback data. You can receive generated customized scent information.
여기서, 추천요청정보에는 객관적정보와 주관적정보로 이루어진 사용자정보와, 개인 맞춤형 향기 추천 서비스를 요청하는 향기 추천에 대한 요청데이터가 포함될 수 있지만, 이에 한정하지 않는다.Here, the recommendation request information may include user information consisting of objective information and subjective information, and request data for scent recommendation requesting a personalized scent recommendation service, but is not limited to this.
객관적정보에는 나이, 성별, 이름, 연락처, 주소, 직업 등의 기본정보와 개인 맞춤형 향기 추천 서비스 시 원하는 향기, 향선호도, 시간, 장소, 날짜, 결재방법, 취미, 성향 등의 우선순위정보 등이 포함된 부가정보 등을 포함할 수 있지만, 이에 한정하지 않는다. 예를 들어, 성향에는 이성적, 민감적, 감성적, 보수적, 진취적, 수동적, 부정적, 긍정적 등의 성향을 포함할 수 있지만, 이에 한정하는 것은 아니다.Objective information includes basic information such as age, gender, name, contact information, address, and occupation, and priority information such as desired scent, scent preference, time, location, date, payment method, hobby, and inclination when providing a personalized scent recommendation service. Additional information may be included, but is not limited to this. For example, tendencies may include, but are not limited to, rational, sensitive, emotional, conservative, progressive, passive, negative, and positive tendencies.
실시예에 따라, 사용자정보에는 사용자 단말기(10)의 위치정보가 포함될 수 있다. 위치정보에는 사용자 단말기(10)의 현재위치정보 또는 개인 맞춤형 향기 추천 서비스를 제공받는 위치정보가 포함될 수 있지만, 이에 한정하지 않는다. 이때, 위치정보에 따라 사용자 단말기(10)의 재생데이터에 의한 음악 재생의 유무에 의해 감정상태정보가 변화되어 사용자 단말기(10)에게 제공되는 맞춤향기정보가 변동될 수 있다.Depending on the embodiment, the user information may include location information of the user terminal 10. The location information may include, but is not limited to, the current location information of the user terminal 10 or location information provided with a personalized scent recommendation service. At this time, the emotional state information may change depending on the presence or absence of music playback by playback data of the user terminal 10 according to the location information, and thus the customized scent information provided to the user terminal 10 may change.
또한, 주관적정보에는 행복(Happiness), 보통(Neutral), 화남(Anger), 혐오(Disgust), 두려움(Fear), 슬픔(Sadness), 놀라움(Surprise) 등의 감정상태정보가 포함될 수 있다. 이때, 감정상태정보는 현재의 감정상태정보일 수 있지만, 이에 한정하지 않고, 이전의 감정상태 또는 평균의 감정상태에 대한 정보가 포함될 수 있다.Additionally, subjective information may include emotional state information such as Happiness, Neutral, Anger, Disgust, Fear, Sadness, and Surprise. At this time, the emotional state information may be current emotional state information, but is not limited to this and may include information about previous emotional states or average emotional states.
또한, 맞춤향기정보는 표준데이터를 기초로 추천요청정보를 이용하여 생성된 재생데이터에 매칭되는 데이터로써, 텍스트, 동영상, 이미지, URL 주소, 음성 등 다양한 형식으로 개인 맞춤형 향기 추천 서비스에 대한 정보가 포함될 수 있지만, 이에 한정하는 것은 아니다.In addition, customized scent information is data that matches playback data generated using recommendation request information based on standard data, and information on personalized scent recommendation services is provided in various formats such as text, video, image, URL address, and voice. It may be included, but is not limited to this.
또한, 재생데이터는 표준데이터를 기초로 추천요청정보를 기초로 사용자의 선택에 의해 생성된 데이터일 수 있지만, 이에 한정하지 않고, 표준데이터에 의해 생성될 수 도 있다.In addition, the playback data may be data generated by the user's selection based on recommendation request information based on standard data, but is not limited to this and may also be generated using standard data.
또한, 표준데이터는 빅데이터를 기반으로 딥러닝 기법 또는 머신러닝 기법을 이용하여 반복 학습하여 생성된 데이터로써, 본 실시예에서, 기준재생시간, 기준감정정보 등을 포함하는 것으로 개시하였지만, 이에 한정하지 않는다.In addition, standard data is data generated through repeated learning using deep learning techniques or machine learning techniques based on big data. In this embodiment, it is disclosed as including reference playback time, reference emotion information, etc., but is limited to this. I never do that.
사용자 단말기(10)는 재생데이터 및 맞춤향기정보를 시각적 및 청각적으로 각각 또는 동시에 출력할 수 있다.The user terminal 10 can output playback data and customized scent information visually and audibly separately or simultaneously.
예를 들어, 사용자 단말기(10)는 동작 상태에 따라 기호, 문자, 숫자 등을 화면에 출력할 수 있는 디스플레이창과, 색변화 또는 깜빡임으로 출력하는 램프, 또는 오디오로 출력하는 스피커 등을 포함할 수 있다.For example, the user terminal 10 may include a display window that can output symbols, letters, numbers, etc. on the screen depending on the operating state, a lamp that outputs color changes or blinks, or a speaker that outputs audio. there is.
사용자 단말기(10)는 관리서버(20)와 개인 맞춤형 향기 추천 서비스를 수행하기 위해 사용자정보를 이용하여 회원가입을 선 진행할 수 있지만, 이에 한정하지 않고 일회성 아이디를 이용하여 개인 맞춤형 향기 추천 서비스를 이용할 수도 있다.The user terminal 10 may first register as a member using user information in order to perform a personalized scent recommendation service with the management server 20, but is not limited to this and can use the personalized scent recommendation service using a one-time ID. It may be possible.
실시예에 따라, 사용자 단말기(10)는 관리서버(20)를 통해 개인 맞춤형 향기 추천 서비스를 제공받는 경우, 별도의 결제서버(미도시) 또는 관리서버(20)로부터 제공되는 결제서비스를 통해 결제절차가 이루어지는 것은 바람직하다. 결제절차는 공지 기술이므로 생략한다.Depending on the embodiment, when the user terminal 10 is provided with a personalized scent recommendation service through the management server 20, the user terminal 10 makes payment through a separate payment server (not shown) or a payment service provided by the management server 20. It is desirable that the procedure be carried out. The payment procedure is omitted as it is a known technology.
실시예에 따라, 사용자 단말기(10)는 개인 맞춤형 향기 추천 서비스를 사용 후 또는 사용중에 개인 맞춤형 향기 추천 서비스에 대한 피드백신호를 생성하여 관리서버(20)로 전송할 수 있다. 이와 달리, 사용자 단말기(10)는 개인 맞춤형 향기 추천 서비스를 사용하기 전에 또는 실시간으로 전송할 수 있다.Depending on the embodiment, the user terminal 10 may generate a feedback signal for the personalized scent recommendation service and transmit it to the management server 20 after or while using the personalized scent recommendation service. In contrast, the user terminal 10 may transmit the personalized scent recommendation service before use or in real time.
실시예에 따라, 사용자 단말기(10)는 피드백신호에 대응하는 피드백제어신호를 개인 맞춤형 향기 추천 서비스를 사용 전, 사용중, 또는 사용후에 수신할 수 있다.Depending on the embodiment, the user terminal 10 may receive a feedback control signal corresponding to the feedback signal before, during, or after using the personalized scent recommendation service.
이때, 피드백신호에는 개인 맞춤형 향기 추천 서비스에 대한 만족도, 정확도, 신뢰도 등의 정보가 포함될 수 있고, 피드백제어신호는 피드백신호에 대응하는 개인 맞춤형 향기 추천 서비스의 개선 또는 업데이트된 정보가 포함될 수 있다. 여기서, 피드백제어신호에는 이벤트정보가 포함될 수 있다. 이벤트정보는 광고가 포함되거나, 개인 맞춤형 향기 추천 서비스에 대한 할인 또는 행사에 대한 정보가 포함될 수 있지만, 이에 한정하지 않는다.At this time, the feedback signal may include information such as satisfaction, accuracy, and reliability for the personalized scent recommendation service, and the feedback control signal may include improved or updated information on the personalized scent recommendation service corresponding to the feedback signal. Here, the feedback control signal may include event information. Event information may include, but is not limited to, advertisements or information about discounts or events for personalized scent recommendation services.
실시예에 따라, 사용자 단말기(10)는 추천요청정보에 대응하는 맞춤향기정보를 수신하지 못하는 경우, 관리서버(20)의 요청에 의해 추가데이터를 전송하고, 추가데이터가 반영된 맞춤향기정보를 수신할 수 있다.Depending on the embodiment, when the user terminal 10 does not receive customized scent information corresponding to the recommendation request information, additional data is transmitted at the request of the management server 20 and received customized scent information reflecting the additional data. can do.
실시예에 따라, 사용자 단말기(10)는 추가데이터만 반영된 맞춤향기정보를 수신하거나, 추가데이터가 반영되지 않는 맞춤향기정보만을 수신할 수도 있다.Depending on the embodiment, the user terminal 10 may receive customized scent information that reflects only additional data, or may receive only customized scent information that does not reflect additional data.
이와 같은, 사용자 단말기(10)는 관리서버(20) 또는 사용자 단말기(30)와의 통신을 지원하는 각종 휴대 가능한 전자통신기기를 포함할 수 있다. 예를 들어, 사용자 단말기(10)는 별도의 스마트 기기로써, 스마트폰(Smart phone), PDA(Personal Digital Assistant), 테블릿(Tablet), 웨어러블 디바이스(Wearable Device), 워치형 단말기(Smartwatch), 글래스형 단말기(Smart Glass), HMD(Head Mounted Display)등 포함), 각종 IoT(Internet of Things) 단말과 같은 다양한 휴대 단말을 포함할 수 있지만 이와 달리 휴대 가능하지 않는 데스크 탑 컴퓨터(desktop computer) 및 워크스테이션 컴퓨터 등의 전자통신기기를 포함할 수 있다.As such, the user terminal 10 may include a management server 20 or various portable electronic communication devices that support communication with the user terminal 30. For example, the user terminal 10 is a separate smart device, such as a smart phone, a personal digital assistant (PDA), a tablet, a wearable device, a smartwatch, It may include various portable terminals such as glass-type terminals (including Smart Glass, HMD (Head Mounted Display), etc.) and various IoT (Internet of Things) terminals, but in contrast, non-portable desktop computers and It may include electronic communication devices such as workstation computers.
또한, 사용자 단말기(10)는 본 개시에서 응용 프로그램(application program 또는 애플리케이션(application))을 이용하여 동작할 수 있으며, 이러한 응용 프로그램은 무선통신을 통해 외부서버 또는 관리서버(20)로부터 다운로드 될 수 있다.In addition, the user terminal 10 can operate using an application program (application program or application) in the present disclosure, and such application program can be downloaded from an external server or management server 20 through wireless communication. there is.
앞서 살펴본 바와 같이, 사용자 단말기(10)는 관리서버(20)와 재생데이터를 실시간으로 송수신함으로써, 개인 맞춤형 향기 추천 서비스를 제공받을 수 있다. 즉, 사용자 단말기(10)가 재생데이터를 이용하여 기준재생시간 동안 음악을 재생하는 경우, 표준데이터를 기초로 음악재생 중의 실시간 변화하는 사용자의 감정상태정보에 대응하는 맞춤향기정보를 수신할 수 있다. 이에 따라, 사용자 단말기(10)는 개인 맞춤형 향기 추천 서비스를 제공받을 때 긍정적인 감정상태의 유지 또는 유도됨과 동시에 사용자에게 현재 상태의 감정에 최적화된 맞춤향기정보를 제공받을 수 있다.As discussed above, the user terminal 10 can receive a personalized scent recommendation service by transmitting and receiving playback data with the management server 20 in real time. In other words, when the user terminal 10 plays music during the standard playback time using playback data, customized scent information corresponding to the user's emotional state information that changes in real time during music playback can be received based on the standard data. . Accordingly, when the user terminal 10 is provided with a personalized scent recommendation service, a positive emotional state can be maintained or induced, and at the same time, the user can be provided with customized scent information optimized for the user's current state of emotion.
즉, 본 발명의 일실시예인 개인 맞춤형 향기 추천 서비스 시스템(1)은 사용자의 실시간 변화되는 감정상태정보를 이용하여 개인 맞춤형 향기 추천 서비스를 요청하는 사용자의 객관성, 정확성 및 정량성이 높은 개인 맞춤형 향기 추천 서비스를 제공함으로써, 개인 맞춤형 향기 추천 서비스를 제공받는 사용자의 다양성을 존중하면서 편의성 및 신뢰성을 높일 수 있다.In other words, the personalized scent recommendation service system (1), which is an embodiment of the present invention, is a personalized scent with high objectivity, accuracy, and quantification of the user who requests a personalized scent recommendation service using the user's real-time changing emotional state information. By providing a recommendation service, convenience and reliability can be improved while respecting the diversity of users who receive a personalized scent recommendation service.
관리서버(20)는 데이터송수신부(22), 데이터베이스부(24), 디스플레이부(26) 및 관리제어부(28)를 포함할 수 있다.The management server 20 may include a data transmission/reception unit 22, a database unit 24, a display unit 26, and a management control unit 28.
데이터송수신부(22)는 사용자 단말기(10)와 개인 맞춤형 향기 추천 서비스를 진행하는 데이터를 실시간으로 송수신할 수 있다.The data transmitting and receiving unit 22 can transmit and receive data for a personalized scent recommendation service with the user terminal 10 in real time.
예를 들어, 데이터송수신부(22)는 사용자 단말기(10)로부터 사용자정보를 수신하고, 재생데이터 및 맞춤향기정보를 사용자 단말기(10)로 전송할 수 있다.For example, the data transmitting and receiving unit 22 may receive user information from the user terminal 10 and transmit playback data and customized scent information to the user terminal 10.
실시예에 따라, 데이터송수신부(22)는 사용자 단말기(10)와 개인 맞춤형 향기 추천 서비스를 진행하는 데이터를 실시간으로 관리자 단말기(30)와 송수신할 수 있다.Depending on the embodiment, the data transmitting and receiving unit 22 may transmit and receive data for performing a personalized scent recommendation service with the user terminal 10 and the manager terminal 30 in real time.
실시예에 따라, 데이터송수신부(22)는 사용자 단말기(10)로부터 피드백신호를 수신하고, 피드백신호에 대응하는 피드백제어신호를 사용자 단말기(10)로 전송할 수 있다.Depending on the embodiment, the data transmitting and receiving unit 22 may receive a feedback signal from the user terminal 10 and transmit a feedback control signal corresponding to the feedback signal to the user terminal 10.
실시예에 따라, 데이터송수신부(22)는 추가데이터를 사용자 단말기(10)로부터 수신할 수 있다.Depending on the embodiment, the data transmitting and receiving unit 22 may receive additional data from the user terminal 10.
데이터베이스부(24)는 무선통신망을 통해 사용자 단말기(10)와 송수신되는 데이터를 저장할 수 있다.The database unit 24 can store data transmitted and received from the user terminal 10 through a wireless communication network.
데이터베이스부(24)는 관리서버(20)의 다양한 기능을 지원하는 데이터를 저장할 수 있다. 데이터베이스부(24)는 관리서버(20)에서 구동되는 다수의 응용 프로그램(application program 또는 애플리케이션(application)), 관리서버(20)의 동작을 위한 데이터들, 명령어들을 저장할 수 있다. 이러한 응용 프로그램 중 적어도 일부는, 무선통신을 통해 외부 서버로부터 다운로드 될 수 있다.The database unit 24 can store data supporting various functions of the management server 20. The database unit 24 may store a number of application programs (application programs or applications) running on the management server 20, data for operation of the management server 20, and commands. At least some of these applications may be downloaded from an external server through wireless communication.
디스플레이부(26)는 사용자 조작에 의한 사용자 단말기(10)의 동작상태, 관리서버(20)의 동작상태, 그리고 사용자 단말기(10)와 관리서버(20) 사이의 송수신되는 데이터 등을 화면을 통해 모니터링 할 수 있다. 즉, 사용자 단말기(10)의 사용 상태를 실시간으로 확인함으로써, 사용자의 사용을 편리하게 하여 사용자에게 더욱 신뢰감을 줄 수 있다.The display unit 26 displays the operating state of the user terminal 10 by user manipulation, the operating state of the management server 20, and data transmitted and received between the user terminal 10 and the management server 20 through the screen. It can be monitored. In other words, by checking the usage status of the user terminal 10 in real time, it is possible to conveniently use the user and provide the user with greater confidence.
관리제어부(28)는 표준데이터를 기초로 하여 사용자 단말기(10)로부터 수신된 추천요청정보를 이용하여 재생데이터를 생성하고, 생성된 재생데이터의 재생시간을 고려하여 사용자 단말기(10)의 감정상태변화에 대응하는 맞춤향기정보를 생성하여 사용자 단말기(10)로 전송할 수 있다.The management control unit 28 generates playback data using the recommendation request information received from the user terminal 10 based on standard data, and determines the emotional state of the user terminal 10 in consideration of the playback time of the generated playback data. Customized scent information corresponding to the change can be generated and transmitted to the user terminal 10.
구체적으로, 관리제어부(28)는 사용자 단말기(10)로부터 입력되는 추천요청정보를 분석하여 표준데이터를 기초로 사용자의 선택에 대응하는 재생데이터를 생성할 수 있다.Specifically, the management control unit 28 may analyze recommendation request information input from the user terminal 10 and generate playback data corresponding to the user's selection based on standard data.
예를 들어, 관리제어부(28)는 추천요청정보에 포함된 요청데이터를 기초로 추천요청정보에 포함된 사용자정보를 분석하여 사용자가 원하는 음악이 포함된 재생데이터를 생성할 수 있다.For example, the management control unit 28 may generate playback data containing music desired by the user by analyzing user information included in the recommendation request information based on the request data included in the recommendation request information.
실시예에 따라, 관리제어부(28)는 사용자 단말기(10)의 사용자정보에 의해 20대, 미혼, 여성, 의사, 반려동물 유의 객관적정보와, 맑은 날씨, 여행, 수영을 좋아하고, 페퍼민트향을 선호하는 주관적인정보를 이용하여 재생데이터를 생성할 수 있다.Depending on the embodiment, the management control unit 28 uses the user information of the user terminal 10 to provide objective information such as people in their 20s, single, female, doctors, pets, sunny weather, travel, likes swimming, and peppermint scent. Playback data can be generated using preferred subjective information.
실시예에 따라, 관리제어부(28)는 사용자 정보에 기초하여 표준데이터를 이용하여 일반적인 재생데이터를 생성할 수 있다.Depending on the embodiment, the management control unit 28 may generate general playback data using standard data based on user information.
또한, 관리제어부(28)는 생성된 재생데이터를 사용자 단말기(10)로 전송한 경우, 재생데이터의 재생시간을 고려하여 음악재생 중의 사용자 단말기(10)의 감정상의 변화를 파악하여 감정상태정보를 생성할 수 있다.In addition, when the generated playback data is transmitted to the user terminal 10, the management control unit 28 determines changes in the emotion of the user terminal 10 during music playback in consideration of the playback time of the playback data and provides emotional state information. can be created.
구체적으로, 관리제어부(28)는 추천요청정보를 이용하여 사용자의 선택에 따라 생성된 재생데이터를 기초로 기 설정된 기준재생시간 동안 음악이 재생되는 경우, 표준데이터를 기초로 재생데이터를 비교 및 분석하여 감정상태정보를 생성할 수 있다.Specifically, when music is played for a preset standard playback time based on playback data generated according to the user's selection using recommendation request information, the management control unit 28 compares and analyzes the playback data based on standard data. Thus, emotional state information can be generated.
예를 들어, 기준재생시간이 1분으로 설정된 경우, 관리제어부(28)는 재생데이터의 실제재생시간이 1분 이상일 때, 음악이 재생된 것으로 판단하여 현재감정상태가 반영된 감정상태정보를 생성할 수 있다.For example, when the standard playback time is set to 1 minute, the management control unit 28 determines that music has been played when the actual playback time of the playback data is 1 minute or more and generates emotional state information reflecting the current emotional state. You can.
이와 달리, 기준재생시간이 1분으로 설정된 경우, 관리제어부(28)는 재생데이터의 실제재생시간이 1분 이하일 때, 음악이 재생되지 않은 것으로 판단하여 현재감정상태가 반영되지 않은 감정상태정보를 생성할 수 있다.In contrast, when the standard playback time is set to 1 minute, the management control unit 28 determines that the music is not played when the actual playback time of the playback data is 1 minute or less and provides emotional state information that does not reflect the current emotional state. can be created.
더욱 구체적으로, 기준재생시간이 1분으로 설정된 경우, 재생데이터의 실제재생시간이 1분 이상일 때, 음악이 재생된 것으로 판단되면, 관리제어부(28)는 사용자정보에 포함된 주관적정보를 분석하여 음악재생 이전의 이전감정상태를 파악하여 제1 감정상태정보를 생성하고, 재생데이터를 분석하여 음악재생 중의 사용자의 현재감정상태를 파악하여 제2 감정상태정보를 생성하며, 제1 감정상태정보 및 제2 감정상태정보를 분석하여 사용자의 감정상태변화에 대응하는 제3 감정상태정보를 생성할 수 있다.More specifically, when the standard playback time is set to 1 minute and the actual playback time of the playback data is more than 1 minute and it is determined that music has been played, the management control unit 28 analyzes the subjective information included in the user information and First emotional state information is generated by identifying the previous emotional state before music playback. Second emotional state information is generated by analyzing playback data to determine the user's current emotional state during music playback. The first emotional state information and By analyzing the second emotional state information, third emotional state information corresponding to changes in the user's emotional state can be generated.
예를 들어, 관리제어부(28)는 제2 감정상태정보가 기 설정된 기준감정정보보다 낮은 경우 제1 감정상태정보와 제2 감정상태정보가 유사하지 않다고 판단하여 제3 감정상태정보를 생성할 수 있다.For example, if the second emotional state information is lower than the preset standard emotional information, the management control unit 28 may determine that the first emotional state information and the second emotional state information are not similar and generate the third emotional state information. there is.
또한, 관리제어부(28)는 제2 감정상태정보가 기 설정된 기준감정정보보다 높은 경우 제1 감정상태정보와 상기 제2 감정상태정보가 유사하다고 판단하여 제3 감정상태정보를 생성할 수 있다.Additionally, when the second emotional state information is higher than preset standard emotional information, the management control unit 28 may determine that the first emotional state information and the second emotional state information are similar and generate third emotional state information.
여기서, 관리제어부(28)는 재생데이터로부터 사용자의 패턴 및 키워드를 추출하여 제2 감정상태정보를 생성할 수 있다.Here, the management control unit 28 can generate second emotional state information by extracting the user's patterns and keywords from the playback data.
구체적으로, 관리제어부(28)는 재생데이터로부터 추출된 사용자의 패턴 및 키워드가 텍스트, 음성인지 판단하여 추출된 데이터가 명확하게 인식되도록 전처리할 수 있다.Specifically, the management control unit 28 may determine whether the user's patterns and keywords extracted from the playback data are text or voice and preprocess the extracted data so that it is clearly recognized.
예를 들어, 추출된 데이터가 텍스트인 경우, 관리제어부(28)는 토큰화(Tokenization) 작업, 정제화(Cleaning) 작업 및 정규화(Normalization) 작업을 순서대로 진행하여 전처리할 수 있다. 즉, 관리제어부(28)는 텍스트로 이루어진 데이터를 필터링하는 토큰화 작업을 수행하고, 토큰화 작업이 끝난 데이터에 포함된 노이즈 데이터(noise data)를 제거하는 정제화 작업을 수행한 후, 정제화 작업이 끝난 데이터를 정규화하여 전처리할 수 있다.For example, if the extracted data is text, the management control unit 28 may preprocess it by sequentially performing tokenization, cleaning, and normalization. That is, the management control unit 28 performs a tokenization operation to filter data consisting of text, a refinement operation to remove noise data included in the tokenized data, and then the refinement operation is performed. The finished data can be normalized and preprocessed.
다시 말하면, 관리제어부(28)는 텍스트에 포함된 단어들이 의미 있는 단어의 최소 단위로 구분되도록 공백제거필터, 특수문자제거필터를 이용하여 토큰화 작업을 수행한 후, 토큰화 작업이 끝난 데이터에 등장 빈도가 낮은 단어 또는 다수 반복되는 해당 단어들에 대한 노이즈 데이터를 제거하여 잔존하는 단어들의 의미가 부각되도록 정제화 작업을 수행한 후, 정제화 작업이 끝난 데이터를 정규화하여 전처리할 수 있다.In other words, the management control unit 28 performs tokenization using a space removal filter and a special character removal filter so that the words included in the text are divided into the minimum unit of meaningful words, and then After performing a refinement operation to highlight the meaning of the remaining words by removing noise data for words that appear less frequently or those words that are repeated a lot, the refined data can be normalized and preprocessed.
이때, 관리제어부(28)는 노이즈 데이터를 수치화 하여 사용자 단말기(10)의 사용자정보에 대응하여 삭제여부를 판단할 수 있다.At this time, the management control unit 28 can quantify the noise data and determine whether to delete it in response to the user information of the user terminal 10.
실시예에 따라, 관리제어부(28)는 텍스트에 포함된 오탈자를 자동을 검수하여 변환시키거나, 중복된 데이터를 자동을 제거할 수 있다.Depending on the embodiment, the management control unit 28 may automatically check and convert typos included in the text or automatically remove duplicate data.
이와 달리, 추출된 데이터가 음성인 경우, 관리제어부(28)는 10초 이상의 음성으로부터 단어별로 추출하고, 추출된 단어를 텍스트로 변환할 수 있다. 여기서, 변환된 텍스트는 전처리될 수 있다.On the other hand, when the extracted data is voice, the management control unit 28 can extract each word from voice over 10 seconds and convert the extracted words into text. Here, the converted text may be preprocessed.
실시예에 따라, 추출된 데이터가 대화데이터인 경우, 관리제어부(28)는 대화데이터를 전처리하여 텍스트로 변환할 수 있다. 변환된 텍스트는 전처리될 수 있다.Depending on the embodiment, when the extracted data is conversation data, the management control unit 28 may preprocess the conversation data and convert it into text. Converted text can be preprocessed.
실시예에 따라, 객관적정보 및 주관적정보를 이용하여 생성된 재생데이터에 포함된 사용자의 패턴 및 키워드를 추출하여 제2 감정상태정보를 생성할 수 있다.Depending on the embodiment, second emotional state information may be generated by extracting user patterns and keywords included in playback data generated using objective information and subjective information.
예를 들어, 관리제어부(28)는 사용자 단말기(10)의 사용자정보에 의해 20대, 미혼, 여성, 의사, 반려동물 유의 객관적정보와, 맑은 날씨, 여행, 수영을 좋아하고, 페퍼민트향을 선호하는 주관적인정보를 이용하여 생성된 재생데이터를 분석하여 '여행', '수영', '스킨스쿠버', '애견동반' 등의 사용자의 패턴 및 키워드를 추출할 수 있다.For example, the management control unit 28 uses the user information of the user terminal 10 to provide objective information such as people in their 20s, single, female, doctors, pets, likes clear weather, travel, swimming, and prefers peppermint flavor. By analyzing playback data generated using subjective information, user patterns and keywords such as 'travel', 'swimming', 'skin scuba', and 'dog companion' can be extracted.
또한, 관리제어부(28)는 사용자 단말기(10)의 감정상의 변화를 파악하여 생성된 감정상태정보를 이용하여 사용자의 긍정적인 감정상태가 유지 또는 유도되도록 감정상태의 변화에 대응하는 맞춤향기정보를 생성할 수 있다.In addition, the management control unit 28 uses the emotional state information generated by identifying changes in the emotional state of the user terminal 10 to provide customized scent information corresponding to the change in the emotional state so that the user's positive emotional state is maintained or induced. can be created.
구체적으로, 제2 감정상태정보가 기 설정된 기준감정정보보다 낮은 경우, 관리제어부(28)는 제2 감정상태정보가 제1 감정상태정보로 유도되도록 맞춤향기정보를 생성할 수 있다.Specifically, when the second emotional state information is lower than the preset standard emotional information, the management control unit 28 may generate customized scent information so that the second emotional state information is guided to the first emotional state information.
예를 들어, 기준감정정보가 보통이고, 제1 감정상태정보가 행복, 보통 등의 긍정적인 감정상태이며, 제2 감정상태정보가 화남 또는 슬픔 등의 부정적인 감정상태인 경우, 관리제어부(28)는 부정적인 감정상태의 제2 감정상태정보가 긍정적인 감정상태의 제1 감정상태정보로 유도되도록 맞춤향기정보를 생성할 수 있다.For example, if the standard emotional state information is normal, the first emotional state information is a positive emotional state such as happiness or normal, and the second emotional state information is a negative emotional state such as angry or sad, the management control unit 28 Can generate customized scent information such that the second emotional state information of a negative emotional state is guided to the first emotional state information of a positive emotional state.
이와 달리, 제2 감정상태정보가 기 설정된 기준감정정보보다 높은 경우, 관리제어부(28)는 제2 감정상태정보가 유지되도록 맞춤향기정보를 생성할 수 있다.In contrast, when the second emotional state information is higher than the preset standard emotional information, the management control unit 28 may generate customized scent information so that the second emotional state information is maintained.
예를 들어, 기준감정정보가 보통이고, 제1 감정상태정보가 행복, 보통 등의 긍정적인 감정상태이며, 제2 감정상태정보가 화남 또는 슬픔 등의 부정적인 감정상태인 경우, 관리제어부(28)는 긍정적인 감정상태의 제1 감정상태정보가 계속 유지되도록 맞춤향기정보를 생성할 수 있다.For example, if the standard emotional state information is normal, the first emotional state information is a positive emotional state such as happiness or normal, and the second emotional state information is a negative emotional state such as angry or sad, the management control unit 28 Can generate customized scent information so that the first emotional state information of a positive emotional state continues to be maintained.
또한, 관리제어부(28)는 빅데이터를 기반으로 딥러닝 기법 또는 머신러닝 기법을 이용하여 반복 학습하여 표준데이터를 생성할 수 있다.Additionally, the management control unit 28 can generate standard data by repeatedly learning using deep learning techniques or machine learning techniques based on big data.
이때, 관리제어부(28)는 생성된 표준데이터를 테스트하여 정확도가 높은 표준데이터를 생성할 수 있다.At this time, the management control unit 28 can generate standard data with high accuracy by testing the generated standard data.
그리고, 관리제어부(28)는 사용자 단말기(10)로부터 수신된 피드백신호에 대응하여 개인 맞춤형 향기 추천 서비스를 개선할 수 있는 피드백제어신호를 생성할 수 있다.In addition, the management control unit 28 may generate a feedback control signal that can improve the personalized scent recommendation service in response to the feedback signal received from the user terminal 10.
실시예에 따라, 관리제어부(28)는 이벤트정보가 포함된 피드백제어신호를 생성하여 사용자 단말기(10)의 개인 맞춤형 향기 추천 서비스의 사용을 증대시킬 수 있다.Depending on the embodiment, the management control unit 28 may generate a feedback control signal containing event information to increase the use of the personalized scent recommendation service of the user terminal 10.
실시예에 따라, 관리제어부(28)는 사용자 단말기(10)로부터 추천요청정보를 수신한 후, 추천요청정보에 대응하는 재생데이터 또는 맞춤향기정보를 생성하지 못하는 경우, 맞춤향기정보를 전송하기 전에 사용자 단말기(10)로 추가데이터를 수신한 후, 추가데이터를 고려하여 재생데이터 또는 맞춤향기정보를 생성할 수 있다.Depending on the embodiment, the management control unit 28 receives recommendation request information from the user terminal 10 and, if it is unable to generate playback data or customized scent information corresponding to the recommendation request information, before transmitting the personalized scent information. After receiving additional data through the user terminal 10, playback data or customized scent information can be generated by considering the additional data.
예를 들어, 관리제어부(28)는 추가데이터가 반영된 재생데이터 또는 맞춤향기정보를 생성할 수 있다.For example, the management control unit 28 can generate playback data or customized scent information reflecting additional data.
실시예에 따라, 관리제어부(28)는 추가데이터가 반영되지 않고 추가요청정보만 반영된 재생데이터 또는 맞춤향기정보를 생성하거나, 추가데이터가 반영되지 않는 재생데이터 또는 맞춤향기정보를 생성할 수 있다.Depending on the embodiment, the management control unit 28 may generate playback data or customized scent information that reflects only additional request information without reflecting additional data, or may generate playback data or customized scent information that does not reflect additional data.
또한, 관리서버(20)는 사용자 단말기(10)가 개인 맞춤형 향기 추천 서비스 를 요청하는 경우, 이에 따른 결제서비스를 자동으로 또는 사용자의 우선순위정보에 따라 처리할 수 있다.In addition, when the user terminal 10 requests a personalized scent recommendation service, the management server 20 can process the corresponding payment service automatically or according to the user's priority information.
이와 달리, 별도의 결제서버를 통해 사용자 단말기(10)의 결제절차를 처리할 수도 있다.Alternatively, the payment procedure of the user terminal 10 may be processed through a separate payment server.
이와 같은 관리서버(20)는 하드웨어 회로(예를 들어, CMOS 기반 로직 회로), 펌웨어, 소프트웨어 또는 이들의 조합에 의해 구현될 수 있다. 예를 들어, 다양한 전기적 구조의 형태로 트랜지스터, 로직게이트 및 전자회로를 활용하여 구현될 수 있다. Such management server 20 may be implemented by hardware circuits (eg, CMOS-based logic circuits), firmware, software, or a combination thereof. For example, it can be implemented using transistors, logic gates, and electronic circuits in the form of various electrical structures.
관리자 단말기(30)는 별도의 관리자가 소지한 단말기로써, 사용자 단말기(10) 및 관리서버(20)와 무선통신망을 이용하여 실시간으로 동기화되어 데이터를 송수신할 수 있다. 이때, 관리자 단말기(30)는 응용 프로그램(application program 또는 애플리케이션(application))을 이용하여 데이터를 송수신할 수 있다.The administrator terminal 30 is a terminal owned by a separate administrator, and can transmit and receive data in real-time synchronization with the user terminal 10 and the management server 20 using a wireless communication network. At this time, the administrator terminal 30 can transmit and receive data using an application program (application program).
관리자 단말기(30)는 관리서버(20)로부터 수신된 표준데이터를 학습하여, 사용자 단말기(10)로부터 수신받은 요청데이터를 분석하여 요청데이터에 대응하는 결과정보를 이용하여 결과데이터를 생성할 수 있다.The administrator terminal 30 can learn the standard data received from the management server 20, analyze the request data received from the user terminal 10, and generate result data using the result information corresponding to the request data. .
이와 같은 관리자 단말기(30)는 사용자 단말기(10) 및 관리서버(20)와의 통신을 지원하는 각종 휴대 가능한 전자통신기기를 포함할 수 있다. 예를 들어, 별도의 스마트 기기로써, 스마트폰(Smart phone), PDA(Personal Digital Assistant), 테블릿(Tablet), 웨어러블 디바이스(Wearable Device, 예를 들어, 워치형 단말기(Smartwatch), 글래스형 단말기(Smart Glass), HMD(Head Mounted Display)등 포함) 및 각종 IoT(Internet of Things) 단말과 같은 다양한 단말을 포함할 수 있지만 이에 한정하는 것은 아니다.This manager terminal 30 may include various portable electronic communication devices that support communication with the user terminal 10 and the management server 20. For example, as separate smart devices, smart phones, PDAs (Personal Digital Assistants), tablets, wearable devices (e.g., smartwatches, glass-type terminals) It may include, but is not limited to, various terminals such as (including Smart Glass, HMD (Head Mounted Display), etc.) and various IoT (Internet of Things) terminals.
이와 같은 구조를 갖는 본 발명의 일실시예에 따른 개인 맞춤형 향기 추천 서비스 시스템의 동작은 다음과 같다. 도 3은 본 발명의 일실시예인 개인 맞춤형 향기 추천 서비스 방법을 설명하기 위한 도면이고, 도 4는 도 3에 도시된 맞춤향기정보를 생성하는 단계를 설명하기 위한 도면이며, 도 5는 도 4에 도시된 감정상태정보를 생성하는 단계를 설명하기 위한 도면이다.The operation of the personalized scent recommendation service system according to an embodiment of the present invention having this structure is as follows. FIG. 3 is a diagram for explaining a personalized scent recommendation service method according to an embodiment of the present invention, FIG. 4 is a diagram for explaining the step of generating customized scent information shown in FIG. 3, and FIG. 5 is a diagram for explaining a personalized scent recommendation service method according to an embodiment of the present invention. This diagram is intended to explain the steps for generating the depicted emotional state information.
우선, 도 3에 도시된 바와 같이, 관리서버(20)는 표준데이터를 생성할 수 있다(S10).First, as shown in FIG. 3, the management server 20 can generate standard data (S10).
구체적으로, 관리서버(20)는 빅데이터를 기반으로 딥러닝 기법 또는 머신러닝 기법을 이용하여 반복 학습하여 표준데이터를 생성할 수 있다.Specifically, the management server 20 can generate standard data by repeatedly learning using deep learning techniques or machine learning techniques based on big data.
예를 들어, 관리서버(20)는 수집된 빅데이터를 전처리하여 분류 가능한 데이터로 변환한 후, 변환된 데이터를 분류하고, 분류된 데이터를 반복 학습하여, 표준데이터를 생성할 수 있다.For example, the management server 20 may preprocess the collected big data and convert it into classifiable data, then classify the converted data and repeatedly learn the classified data to generate standard data.
예를 들어, 관리서버(20)는 RPA(Robot Process Automation) 전처리를 통해 데이터를 분류 가능한 데이터로 변환시킬 수 있지만, 이에 한정하는 것은 아니다.For example, the management server 20 may convert data into classifiable data through RPA (Robot Process Automation) preprocessing, but is not limited to this.
다음으로, 관리서버(20)는 사용자 단말기(10)로부터 추천요청정보를 수신할 수 있다(S12).Next, the management server 20 may receive recommendation request information from the user terminal 10 (S12).
구체적으로, 사용자 단말기(20)는 개인 맞춤형 향기 추천 서비스를 요청하는 사용자에 의해 추천요청정보를 생성할 수 있다.Specifically, the user terminal 20 may generate recommendation request information by a user requesting a personalized scent recommendation service.
여기서, 추천요청정보에는 객관적정보와 주관적정보로 이루어진 사용자정보와, 개인 맞춤형 향기 추천 서비스를 요청하는 향기 추천에 대한 요청데이터가 포함될 수 있지만, 이에 한정하지 않는다.Here, the recommendation request information may include user information consisting of objective information and subjective information, and request data for scent recommendation requesting a personalized scent recommendation service, but is not limited to this.
이때, 사용자정보는 개인 맞춤형 향기 추천 서비스를 실행하기 위해 사전에 회원가입을 통해 사용자로부터 입력할 수 있지만, 이에 한정하지 않고 회원가입 없이 일회용으로 입력될 수도 있다.At this time, the user information may be entered by the user through prior membership registration in order to perform a personalized scent recommendation service, but is not limited to this and may be entered on a one-time basis without membership registration.
실시예에 따라, 관리서버(20)는 사용자 단말기(10)로부터 수신된 객관적정보와 주관적정보로 이루어진 사용자정보와, 개인 맞춤형 향기 추천 서비스를 요청하는 향기 추천에 대한 요청데이터를 이용하여 추천정보를 생성할 수 있다.According to the embodiment, the management server 20 provides recommendation information using user information consisting of objective information and subjective information received from the user terminal 10 and request data for scent recommendation requesting a personalized scent recommendation service. can be created.
다음으로, 관리서버(20)는 표준데이터를 기초로 추천요청정보를 이용하여 사용자의 선택에 대응하는 재생데이터를 생성할 수 있다(S14).Next, the management server 20 can generate playback data corresponding to the user's selection using recommendation request information based on standard data (S14).
예를 들어, 관리서버(20)는 추천요청정보에 포함된 요청데이터를 기초로 추천요청정보에 포함된 사용자정보를 분석하여 사용자가 원하는 음악이 포함된 재생데이터를 생성할 수 있다.For example, the management server 20 may generate playback data containing music desired by the user by analyzing user information included in the recommendation request information based on the request data included in the recommendation request information.
실시예에 따라, 관리서버(20)는 사용자 단말기(10)의 사용자정보에 의해 20대, 미혼, 여성, 의사, 반려동물 유의 객관적정보와, 맑은 날씨, 여행, 수영을 좋아하고, 페퍼민트향을 선호하는 주관적인정보를 이용하여 재생데이터를 생성할 수 있다.According to the embodiment, the management server 20 uses the user information of the user terminal 10 to provide objective information such as people in their 20s, single, female, doctors, pets, sunny weather, travel, likes swimming, and peppermint scent. Playback data can be generated using preferred subjective information.
실시예에 따라, 관리서버(20)는 사용자 정보에 기초하여 표준데이터를 이용하여 일반적인 재생데이터를 생성할 수 있다.Depending on the embodiment, the management server 20 may generate general playback data using standard data based on user information.
다음으로, 관리서버(20)는 생성된 재생데이터를 사용자 단말기(10)로 전송하여 개인 맞춤형 향기 추천 서비스를 사용자 단말기(10)에게 제공할 수 있다(S16).Next, the management server 20 may transmit the generated playback data to the user terminal 10 and provide a personalized scent recommendation service to the user terminal 10 (S16).
구체적으로, 사용자 단말기(10)는 관리서버(20)와의 통신을 통해 개인 맞춤형 향기 추천 서비스를 제공받을 수 있다.Specifically, the user terminal 10 can receive a personalized scent recommendation service through communication with the management server 20.
예를 들어, 사용자 단말기(10)는 재생데이터를 시각적 및 청각적으로 각각 또는 동시에 출력할 수 있다.For example, the user terminal 10 may output playback data visually and audibly separately or simultaneously.
다음으로, 관리서버(20)는 재생데이터를 기초로 기 설정된 기준재생시간 동안 음악이 사용자 단말기(10)에 의해 재생되는 경우, 표준데이터를 기초로 재생데이터를 분석하여 맞춤향기정보를 생성할 수 있다(S18).Next, when music is played by the user terminal 10 during a preset standard playback time based on the playback data, the management server 20 can generate customized scent information by analyzing the playback data based on the standard data. There is (S18).
구체적으로, 도 4를 참조하면, 관리서버(20)는 표준데이터를 기초로 재생데이터를 비교 및 분석하여(S100), 재생데이터의 실제재생시간이 기 설정된 기준재생시간 동안 음악이 재생되는 경우(S110), 감정상태정보를 생성할 수 있다(S120).Specifically, referring to FIG. 4, the management server 20 compares and analyzes the playback data based on standard data (S100), and when the actual playback time of the playback data is played during the preset standard playback time ( S110), emotional state information can be generated (S120).
예를 들어, 기준재생시간이 1분으로 설정된 경우, 관리서버(20)는 재생데이터의 실제재생시간이 1분 이상일 때, 음악이 재생된 것으로 판단하여 감정상태정보를 생성할 수 있다.For example, when the standard playback time is set to 1 minute, the management server 20 may determine that music has been played and generate emotional state information when the actual playback time of the playback data is more than 1 minute.
이와 달리, 기준재생시간이 1분으로 설정된 경우, 관리서버(20)는 재생데이터의 실제재생시간이 1분 이하일 때, 음악이 재생되지 않은 것으로 판단할 수 있다.In contrast, when the standard playback time is set to 1 minute, the management server 20 may determine that music is not played when the actual playback time of the playback data is 1 minute or less.
다음, 관리서버(20)는 감정상태정보를 분석하여 사용자의 현재감정상태의 변화를 판단할 수 있다(S130).Next, the management server 20 can analyze the emotional state information and determine changes in the user's current emotional state (S130).
구체적으로, 도 5를 참조하면, 기준재생시간이 1분으로 설정된 경우, 재생데이터의 실제재생시간이 1분 이상일 때, 음악이 재생된 것으로 판단되면, 관리서버(20)는 사용자정보에 포함된 주관적정보를 분석하여 음악재생 이전의 이전감정상태를 파악하여 제1 감정상태정보를 생성할 수 있다(S200).Specifically, referring to FIG. 5, when the standard playback time is set to 1 minute and the actual playback time of the playback data is more than 1 minute, if it is determined that music has been played, the management server 20 stores the information included in the user information. By analyzing subjective information, the previous emotional state before music playback can be identified and first emotional state information can be generated (S200).
다음, 관리서버(20)는 재생데이터를 분석하여 음악재생 중의 사용자의 현재감정상태를 파악하여 제2 감정상태정보를 생성할 수 있다(S210).Next, the management server 20 may analyze the playback data to identify the user's current emotional state while playing music and generate second emotional state information (S210).
구체적으로, 관리서버(20)는 재생데이터로부터 사용자의 패턴 및 키워드를 추출하여 제2 감정상태정보를 생성할 수 있다.Specifically, the management server 20 may generate second emotional state information by extracting the user's patterns and keywords from the playback data.
예를 들어, 관리서버(30)는 추출된 데이터가 텍스트인 경우, 토큰화(Tokenization) 작업, 정제화(Cleaning) 작업 및 정규화(Normalization) 작업을 순서대로 진행하여 전처리할 수 있다. 즉, 관리제어부(28)는 텍스트로 이루어진 데이터를 필터링하는 토큰화 작업을 수행하고, 토큰화 작업이 끝난 데이터에 포함된 노이즈 데이터(noise data)를 제거하는 정제화 작업을 수행한 후, 정제화 작업이 끝난 데이터를 정규화하여 전처리할 수 있다.For example, if the extracted data is text, the management server 30 may preprocess it by sequentially performing tokenization, cleaning, and normalization. That is, the management control unit 28 performs a tokenization operation to filter data consisting of text, a refinement operation to remove noise data included in the tokenized data, and then the refinement operation is performed. The finished data can be normalized and preprocessed.
또한, 추출된 데이터가 음성인 경우, 관리제어부(28)는 10초 이상의 음성으로부터 단어별로 추출하고, 추출된 단어를 텍스트로 변환할 수 있다. 여기서, 변환된 텍스트는 전처리될 수 있다.Additionally, when the extracted data is voice, the management control unit 28 can extract each word from voice over 10 seconds and convert the extracted words into text. Here, the converted text may be preprocessed.
실시예에 따라, 추출된 데이터가 대화데이터인 경우, 관리제어부(28)는 대화데이터를 전처리하여 텍스트로 변환할 수 있다. 변환된 텍스트는 전처리될 수 있다.Depending on the embodiment, when the extracted data is conversation data, the management control unit 28 may preprocess the conversation data and convert it into text. Converted text can be preprocessed.
실시예에 따라, 객관적정보 및 주관적정보를 이용하여 생성된 재생데이터에 포함된 사용자의 패턴 및 키워드를 추출하여 제2 감정상태정보를 생성할 수 있다.Depending on the embodiment, the second emotional state information may be generated by extracting the user's patterns and keywords included in playback data generated using objective information and subjective information.
다음, 관리서버(20)는 생성된 제1 및 제2 감정상태정보를 기준감정정보와 비교하여 제3 감정상태정보를 생성할 수 있다.Next, the management server 20 may generate third emotional state information by comparing the generated first and second emotional state information with reference emotional state information.
구체적으로, 제2 감정상태정보가 기 설정된 기준감정정보보다 낮은 경우(S220), 관리서버(20)는 제1 감정상태정보와 상기 제2 감정상태정보가 유사하지 않다고 판단하고(S230), 이에 대응하는 제3 감정상태정보를 생성할 수 있다(S240).Specifically, when the second emotional state information is lower than the preset standard emotional information (S220), the management server 20 determines that the first emotional state information and the second emotional state information are not similar (S230). Corresponding third emotional state information can be generated (S240).
예를 들어, 기준감정정보가 보통이고, 제1 감정상태정보가 행복, 보통 등의 긍정적인 감정상태이며, 제2 감정상태정보가 화남 또는 슬픔 등의 부정적인 감정상태인 경우, 관리서버(20)는 부정적인 감정상태의 제2 감정상태정보가 긍정적인 감정상태의 제1 감정상태정보로 유도될 수 있는 제3 감정상태정보를 생성할 수 있다.For example, if the standard emotional state information is normal, the first emotional state information is a positive emotional state such as happiness or normal, and the second emotional state information is a negative emotional state such as angry or sad, the management server 20 Can generate third emotional state information that can lead the second emotional state information of a negative emotional state to the first emotional state information of a positive emotional state.
이와 달리, 제2 감정상태정보가 기 설정된 기준감정정보보다 높은 경우(S220), 관리서버(20)는 제1 감정상태정보와 상기 제2 감정상태정보가 유사하다고 판단하고(S250), 이에 대응하는 제3 감정상태정보를 생성할 수 있다(S260).On the other hand, when the second emotional state information is higher than the preset standard emotional information (S220), the management server 20 determines that the first emotional state information and the second emotional state information are similar (S250) and responds accordingly. Third emotional state information can be generated (S260).
예를 들어, 기준감정정보가 보통이고, 제1 감정상태정보가 행복, 보통 등의 긍정적인 감정상태이며, 제2 감정상태정보가 화남 또는 슬픔 등의 부정적인 감정상태인 경우, 관리제어부(28)는 긍정적인 감정상태의 제1 감정상태정보가 계속 유지되도록 제3 감정상태정보를 생성할 수 있다.For example, if the standard emotional state information is normal, the first emotional state information is a positive emotional state such as happiness or normal, and the second emotional state information is a negative emotional state such as angry or sad, the management control unit 28 Can generate third emotional state information so that the first emotional state information of a positive emotional state continues to be maintained.
다음, 관리서버(20)는 제3 감정상태정보를 이용하여 현재의 현재감정상태가 반영된 맞춤향기정보를 생성할 수 있다(S140).Next, the management server 20 can generate customized scent information reflecting the current emotional state using the third emotional state information (S140).
구체적으로, 관리서버(20)는 제2 감정상태정보가 기 설정된 기준감정정보보다 낮은 경우 제2 감정상태정보가 제1 감정상태정보로 유도되도록 생성된 제3 감정상태정보를 이용하여 감정상태가 반영된 맞춤향기정보를 생성하고, 제2 감정상태정보가 기 설정된 기준감정정보보다 높은 경우 제2 감정상태정보가 유지되도록 생성된 제3 감정상태정보를 이용하여 감정상태가 반영된 맞춤향기정보를 생성할 수 있다.Specifically, the management server 20 uses the third emotional state information generated to guide the second emotional state information to the first emotional state information when the second emotional state information is lower than the preset standard emotional information. To generate reflected customized scent information, and to generate customized scent information reflecting the emotional state using the generated third emotional state information so that the second emotional state information is maintained when the second emotional state information is higher than the preset standard emotional information. You can.
한편, 재생데이터의 실제재생시간이 기 설정된 기준재생시간 동안 음악이 재생되지 않는 경우(S110), 음악이 재생되지 않은 것으로 판단하여 감정상태의 변화가 없는 것으로 판단되므로, 현재감정상태가 반영되지 않은 맞춤향기정보를 생성할 수 있다(S150).On the other hand, if the music is not played during the actual playback time of the playback data for the preset reference playback time (S110), it is determined that the music has not been played and there is no change in the emotional state, so the current emotional state is not reflected. Customized scent information can be created (S150).
다음으로, 관리서버(20)는 사용자 단말기(10)로부터 개인 맞춤형 향기 추천 서비스에 대한 피드백신호를 수신할 수 있다(S20).Next, the management server 20 may receive a feedback signal for the personalized scent recommendation service from the user terminal 10 (S20).
구체적으로, 사용자 단말기(10)는 요청데이터에 대응하는 개인 맞춤형 향기 추천 서비스를 제공받은 후, 해당 개인 맞춤형 향기 추천 서비스에 대한 피드백신호를 생성할 수 있다.Specifically, the user terminal 10 may receive a personalized scent recommendation service corresponding to the request data and then generate a feedback signal for the personalized scent recommendation service.
이때, 피드백신호에는 개인 맞춤형 향기 추천 서비스에 대한 만족도, 정확도, 신뢰도 등의 정보가 포함될 수 있다.At this time, the feedback signal may include information such as satisfaction, accuracy, and reliability for the personalized scent recommendation service.
다음으로, 관리서버(20)는 사용자 단말기(10)로부터 수신된 피드백신호에 대응하여 개인 맞춤형 향기 추천 서비스를 개선할 수 있는 피드백제어신호를 생성할 수 있다(S22).Next, the management server 20 may generate a feedback control signal that can improve the personalized scent recommendation service in response to the feedback signal received from the user terminal 10 (S22).
실시예에 따라, 사용자 단말기(10)는 피드백신호에 대응하여 개인 맞춤형 향기 추천 서비스의 개선 또는 업데이트된 정보가 포함된 피드백제어신호를 개인 맞춤형 향기 추천 서비스를 사용 전, 사용중, 또는 사용후에 수신할 수 있다. 이때, 피드백제어신호에는 이벤트정보가 포함될 수 있다. 이벤트정보는 광고가 포함되거나, 개인 맞춤형 향기 추천 서비스에 대한 할인 또는 행사에 대한 정보가 포함될 수 있지만, 이에 한정하지 않는다.Depending on the embodiment, the user terminal 10 may receive a feedback control signal containing improved or updated information of the personalized scent recommendation service in response to the feedback signal before, during, or after using the personalized scent recommendation service. You can. At this time, the feedback control signal may include event information. Event information may include, but is not limited to, advertisements or information about discounts or events for personalized scent recommendation services.
실시예에 따라, 관리자 단말기(30)가 피드백신호에 대응하여 개인 맞춤형 향기 추천 서비스를 개선할 수 있는 피드백제어신호를 생성할 수 있다.Depending on the embodiment, the manager terminal 30 may generate a feedback control signal that can improve a personalized scent recommendation service in response to the feedback signal.
다음으로, 관리서버(20)는 맞춤향기정보를 이용하여 표준데이터를 실시간으로 업데이트할 수 있다(S24).Next, the management server 20 can update the standard data in real time using the customized scent information (S24).
실시예에 따라, 관리서버(20)는 피드백신호와, 피드백제어신호에 대응하여 표준데이터를 실시간으로 업데이트할 수 있다.Depending on the embodiment, the management server 20 may update standard data in real time in response to the feedback signal and the feedback control signal.
마지막으로, 관리자 단말기(30)는 개인 맞춤형 향기 추천 서비스를 실시간으로 모니터링할 수 있다(S26).Finally, the manager terminal 30 can monitor the personalized scent recommendation service in real time (S26).
본 발명의 실시예와 관련하여 설명된 방법 또는 알고리즘의 단계들은 하드웨어로 직접 구현되거나, 하드웨어에 의해 실행되는 소프트웨어 모듈로 구현되거나, 또는 이들의 결합에 의해 구현될 수 있다. 소프트웨어 모듈은 RAM(Random Access Memory), ROM(Read Only Memory), EPROM(Erasable Programmable ROM), EEPROM(Electrically Erasable Programmable ROM), 플래시 메모리(Flash Memory), 하드 디스크, 착탈형 디스크, CD-ROM 또는 본 발명이 속하는 기술 분야에서 잘 알려진 임의의 형태의 컴퓨터 판독가능 기록매체에 상주할 수도 있다.The steps of the method or algorithm described in connection with embodiments of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. Software modules can be RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), Flash Memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the invention pertains.
이상, 첨부된 도면을 참조로 하여 본 발명의 실시예를 설명하였지만, 본 발명이 속하는 기술분야의 통상의 기술자는 본 발명이 그 기술적 사상이나 필수적인 특징을 변경하지 않고서 다른 구체적인 형태로 실시될 수 있다는 것을 이해할 수 있을 것이다. 그러므로, 이상에서 기술한 실시예들은 모든 면에서 예시적인 것이며, 제한적이 아닌 것으로 이해해야만 한다.Above, embodiments of the present invention have been described with reference to the attached drawings, but those skilled in the art will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. You will be able to understand it. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive.

Claims (6)

  1. 서버에 의해 수행되는 개인 맞춤형 향기 추천 서비스 제공 방법에 있어서,In a method of providing a personalized scent recommendation service performed by a server,
    사용자로부터 사용자정보가 포함된 추천요청정보를 수신하는 단계;Receiving recommendation request information including user information from a user;
    상기 추천요청정보를 이용하여 사용자의 선택에 따라 생성된 재생데이터를 기초로 기 설정된 기준재생시간 동안 음악이 재생되는 경우, 상기 사용자정보를 기초로 상기 재생데이터를 비교 및 분석하여 생성된 감정상태정보를 이용하여 맞춤향기정보를 생성하는 단계; 및When music is played for a preset standard playback time based on playback data generated according to the user's selection using the recommendation request information, emotional state information generated by comparing and analyzing the playback data based on the user information Generating customized scent information using; and
    상기 맞춤향기정보에 대응하여 사용자에게 향기 추천 서비스를 제공하는 단계를 포함하고,Including providing a scent recommendation service to the user in response to the customized scent information,
    상기 맞춤향기정보를 생성하는 단계는,The step of generating the customized scent information is,
    상기 사용자정보에 포함된 주관적정보를 분석하여 음악재생 이전의 이전감정상태를 파악하여 제1 감정상태정보를 생성하는 단계;Generating first emotional state information by analyzing subjective information included in the user information to identify a previous emotional state before music playback;
    상기 재생데이터를 분석하여 음악재생 중의 사용자의 현재감정상태를 파악하여 제2 감정상태정보를 생성하는 단계;Analyzing the playback data to identify the user's current emotional state while playing music and generating second emotional state information;
    상기 제1 감정상태정보 및 상기 제2 감정상태정보를 분석하여 사용자의 감정상태변화에 대응하는 제3 감정상태정보를 생성하는 단계; 및Analyzing the first emotional state information and the second emotional state information to generate third emotional state information corresponding to a change in the user's emotional state; and
    상기 제3 감정상태정보를 기초로 상기 맞춤향기정보를 생성하는 단계를 포함하는, 개인 맞춤형 향기 추천 서비스 제공 방법.A method of providing a personalized scent recommendation service, comprising generating the customized scent information based on the third emotional state information.
  2. 제1항에 있어서,According to paragraph 1,
    상기 제2 감정상태정보를 생성하는 단계는,The step of generating the second emotional state information is,
    상기 재생데이터로부터 사용자의 패턴 및 키워드를 추출하는 단계를 포함하는, 개인 맞춤형 향기 추천 서비스 제공 방법.A method of providing a personalized scent recommendation service, comprising extracting user patterns and keywords from the playback data.
  3. 제2항에 있어서,According to paragraph 2,
    상기 제3 감정상태정보를 생성하는 단계는,The step of generating the third emotional state information is,
    상기 제2 감정상태정보가 기 설정된 기준감정정보보다 낮은 경우 상기 제1 감정상태정보와 상기 제2 감정상태정보가 유사하지 않다고 판단하여 상기 제3 감정상태정보를 생성하고, 상기 제2 감정상태정보가 기 설정된 기준감정정보보다 높은 경우 상기 제1 감정상태정보와 상기 제2 감정상태정보가 유사하다고 판단하여 상기 제3 감정상태정보를 생성하는 단계를 포함하는, 개인 맞춤형 향기 추천 서비스 제공 방법.When the second emotional state information is lower than the preset standard emotional information, it is determined that the first emotional state information and the second emotional state information are not similar, and the third emotional state information is generated, and the second emotional state information is determined to be not similar to the second emotional state information. A method of providing a personalized scent recommendation service comprising the step of determining that the first emotional state information and the second emotional state information are similar when the emotional state information is higher than the preset standard emotional information and generating the third emotional state information.
  4. 제3항에 있어서,According to paragraph 3,
    상기 맞춤향기정보를 생성하는 단계는,The step of generating the customized scent information is,
    상기 제2 감정상태정보가 기 설정된 기준감정정보보다 낮은 경우 상기 제2 감정상태정보가 상기 제1 감정상태정보로 유도되도록 상기 맞춤향기정보를 생성하고, 상기 제2 감정상태정보가 기 설정된 기준감정정보보다 높은 경우 상기 제2 감정상태정보가 유지되도록 상기 맞춤향기정보를 생성하는, 개인 맞춤형 향기 추천 서비스 제공 방법.When the second emotional state information is lower than the preset standard emotional information, the customized scent information is generated so that the second emotional state information is guided to the first emotional state information, and the second emotional state information is the preset standard emotional state. A method of providing a personalized scent recommendation service, generating the customized scent information so that the second emotional state information is maintained when it is higher than the information.
  5. 사용자 단말기에게 개인 맞춤형 향기 추천 서비스를 제공하는 관리서버;를 포함하고,It includes a management server that provides a personalized scent recommendation service to the user terminal,
    상기 관리서버는,The management server is,
    상기 사용자 단말기로부터 주관적정보 및 객관적정보가 포함된 사용자정보를 수신하고, 사용자의 선택에 따라 생성된 재생데이터를 기초로 기 설정된 기준재생시간 동안 음악이 재생되는 경우, 상기 사용자정보를 기초로 상기 재생데이터를 비교 및 분석하여 맞춤향기정보를 생성하며, 상기 맞춤향기정보에 대응하여 사용자에게 향기 추천 서비스를 제공하고,User information including subjective information and objective information is received from the user terminal, and when music is played for a preset reference playback time based on playback data generated according to the user's selection, the playback is performed based on the user information. Generate customized scent information by comparing and analyzing data, and provide scent recommendation services to users in response to the customized scent information.
    상기 관리서버는,The management server is,
    상기 사용자정보를 기초로 상기 주관적정보를 분석하여 음악재생 이전의 이전감정상태를 파악하여 제1 감정상태정보를 생성하고, 상기 재생데이터를 분석하여 음악재생 중의 사용자의 현재감정상태를 파악하여 제2 감정상태정보를 생성하며, 상기 제1 감정상태정보 및 상기 제2 감정상태정보를 분석하여 사용자의 감정상태변화에 대응하는 제3 감정상태정보를 생성하고, 상기 제3 감정상태정보를 기초로 상기 맞춤향기정보를 생성하는, 개인 맞춤형 향기 추천 서비스 제공 시스템.Based on the user information, the subjective information is analyzed to determine the previous emotional state before music playback to generate first emotional state information, and the playback data is analyzed to determine the user's current emotional state during music playback to generate second emotional state information. Generating emotional state information, analyzing the first emotional state information and the second emotional state information to generate third emotional state information corresponding to a change in the user's emotional state, and generating the third emotional state information based on the third emotional state information. A system that provides a personalized scent recommendation service that generates customized scent information.
  6. 하드웨어인 컴퓨터와 결합되어, 제1항의 방법을 수행할 수 있도록 컴퓨터에서 독출가능한 기록매체에 저장된 컴퓨터 프로그램.A computer program combined with a computer as hardware and stored in a computer-readable recording medium so as to perform the method of claim 1.
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