KR20210152178A - Apparatus for Providing Dressing Table Curation Service and Driving Method Thereof, and Computer Readable Recording Medium - Google Patents

Abstract

The present invention relates to an apparatus for providing a dressing table curation service and a driving method thereof, and a computer readable recording medium. The apparatus for providing a dressing table curation service according to an embodiment of the present invention includes: a storage unit which collects metadata of cosmetics that have been sold or are being sold in the market to analyze the same, and stores an analysis result; and a control unit which receives dressing table information related to the cosmetics owned by a user from a user terminal device of the user, and generates, based on the received dressing table information and the (previously) stored analysis result, cosmetic curation data on first compatibility between the user and the owned cosmetics and second compatibility between the owned cosmetics, to provide the same to the user terminal device.

Description

Apparatus for Providing Dressing Table Curation Service and Driving Method Thereof, and Computer Readable Recording Medium

The present invention relates to a dressing table curation service device, a method of driving the device, and a computer-readable recording medium, and more particularly, data related to cosmetics that a user holds on his/her dressing table and big data of commercial cosmetics. It relates to a dressing table curation service device that provides a customized makeup curation service for each user, a method of driving the device, and a computer-readable recording medium.

Cosmetics are recently favored not only by women but also by men from the practical point of view that they can improve skin health as well as satisfy aesthetic needs. In particular, recently, in addition to the basic functions of cosmetics, many cosmetics specialized for a specific skin type, that is, functional cosmetics, are being introduced, and the demand is expected to further expand. Functional cosmetics include, for example, fine dust blocking, sebum, wrinkles, blemishes, acne management, and cosmetics including functions such as UV protection.

These cosmetics contain several ingredients. Cosmetics contain different ingredients and content depending on the type, and even of the same type, the content of cosmetic ingredients may vary depending on the presence or absence of functionality, oil-water balance, and feeling of use. A cosmetic manufacturer may prepare various types of ingredients in the form of undiluted solutions in advance, and then manufacture various cosmetics by varying the ingredients or contents according to the types of cosmetics or the needs of consumers. In addition, the cosmetics manufacturer may add fragrance to the cosmetics in consideration of consumer preferences.

Recently, with the rapid growth of the skin care market, numerous skin care products, including cosmetics, are pouring into the market. However, general consumers do not actually know and use all the ingredients of such cosmetics in detail, and most of them are acquaintances or cosmetics. Relying on information provided by salespeople often causes problems such as side effects on the skin.

Korean Patent Publication No. 10-2019-0033257 (2019.03.29) Korean Patent Publication No. 10-2019-0066285 (June 13, 2019) Korean Patent Publication No. 10-2019-0066950 (June 14, 2019) Korean Patent Publication No. 10-2019-0142500 (2019.12.27) Korean Patent Publication No. 10-2020-0027098 (2020.03.12) Korean Patent Publication No. 10-2020-0028569 (2020.03.17) Korean Patent Publication No. 10-2020-0028568 (2020.03.17) Korean Patent Publication No. 10-2069846 (2020.01.17)

An embodiment of the present invention provides a dressing table curation service device that provides a customized makeup curation service for each user based on, for example, data related to the cosmetics the user holds on his/her dressing table and big data of commercial cosmetics, and driving the device An object of the present invention is to provide a method and a computer-readable recording medium.

A dressing table curation service device according to an embodiment of the present invention includes a storage unit that collects and analyzes meta data of cosmetics sold or sold in the market, and stores the analysis result, and dressing table information related to cosmetics owned by the user. is received from the user terminal device of the user, and based on the received dressing table information and the stored analysis result, cosmetic curation data for the first compatibility between the user and the holding cosmetics and the second compatibility between the holding cosmetics and a control unit that is generated and provided to the user terminal device.

The control unit receives the photo or video of the cosmetics held as the dressing table information, and the user's skin type, concerns, purpose, taste, preference, price reasonable line, effective purchase price range, satisfaction level, repurchase rate, use cycle and pattern, preference At least one piece of information from among categories may be further received.

The control unit may provide the cosmetic curation data by dividing the information into a plurality of recommendation steps using the dressing table information, and may change the recommendation step from a rule-based data-based recommendation to an artificial intelligence (AI)-centered recommendation method.

The control unit may provide cosmetic curation data for a personalized commerce service that provides a user-customized discount as the AI-centered recommendation method.

The controller may extract positive and negative keywords of certain cosmetics from the cosmetic review information collected as the metadata, adjust the size of the extracted keywords, and generate visualization data for display on the screen of the user terminal device. .

The controller may provide cosmetic curation data for a personalized recommendation service to select a product suitable for the user based on the user's skin type, concerns, and efficacy.

In addition, the driving method of the dressing table curation service apparatus according to an embodiment of the present invention comprises the steps of: storing, by the storage unit, the analysis result obtained by collecting and analyzing the meta data of cosmetics sold or sold in the market, and the control unit; Receives dressing table information related to the cosmetics owned by the user from the user terminal device of the user, and based on the received dressing table information and the stored analysis result, a first compatibility between the user and the holding cosmetics and between the holding cosmetics and generating cosmetic curation data for the second compatibility and providing it to the user terminal device.

The receiving step includes, as the dressing table information, the user's skin type, concerns, purpose, taste, preference, price reasonable line, effective purchase price range, satisfaction level, repurchase rate, use cycle and pattern, At least one piece of information among preference categories may be further received.

In the providing step, the cosmetic curation data is provided by dividing the cosmetics into a plurality of recommendation steps using the dressing table information, and the recommendation step can be changed from a rule-based data-based recommendation to an artificial intelligence (AI)-centered recommendation method. .

The providing may include providing cosmetic curation data for a personalized commerce service that provides a user-customized discount as the AI-centered recommendation method.

In the driving method, the control unit extracts positive and negative keywords of cosmetic products from the cosmetic review information collected as the meta data, and adjusts the size of the extracted keyword to display visualization data on the screen of the user terminal device. It may further include the step of generating.

The providing may provide cosmetic curation data for a personalized recommendation service to select a product suitable for the user based on the user's skin type, concerns, and efficacy.

On the other hand, a computer-readable recording medium according to an embodiment of the present invention is a computer-readable recording medium including a program for executing a driving method of the dressing table curation service apparatus, wherein the driving method of the dressing table curation service apparatus includes: The steps of collecting and analyzing the meta data of cosmetics sold or sold in the market, and storing the analysis result, and the dressing table information related to the cosmetics owned by the user and the stored analysis result received from the user's user terminal device Executes the step of generating cosmetic curation data for the first compatibility between the user and the holding cosmetics and the second compatibility between the holding cosmetics based on the generation and providing the data to the user terminal device.

According to an embodiment of the present invention, it is possible to increase the data utilization range and effect by collecting, refining and processing not only basic cosmetic information but also detailed information such as cosmetic ingredients, efficacy, effect, non-price properties, reviews, and feeling of use. There will be.

In addition, according to an embodiment of the present invention, target marketing and a customized personalized commerce platform may be implemented by utilizing big data (eg, customer data and cosmetic data, etc.).

1 is a view showing a dressing table curation service system according to an embodiment of the present invention;
2 to 6 are diagrams for explaining the service process of the system of FIG. 1;
7 is a block diagram illustrating the detailed structure of the dressing table curation service apparatus of FIG. 1, and
8 is a flowchart illustrating a driving process of the dressing table curation service apparatus of FIG. 1 .

Advantages and features of the present invention, and methods for achieving them, will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in various different forms. In the present specification, the present embodiment is provided to complete the disclosure of the present invention, and to fully inform those of ordinary skill in the art to which the present invention pertains to the scope of the invention. And the invention is only defined by the scope of the claims. Accordingly, in some embodiments, well-known components, well-known operations, and well-known techniques have not been specifically described to avoid obscuring the present invention.

In addition, like reference numerals refer to like elements throughout the specification, and terms used (referred to) in this specification are for the purpose of describing the embodiments and are not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase, and elements and operations referred to as 'comprising (or having)' do not exclude the presence or addition of one or more other elements and operations. . Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used with the meaning commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not ideally or excessively interpreted unless they are defined.

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

1 is a diagram illustrating a dressing table curation service system according to an embodiment of the present invention, and FIGS. 2 to 6 are diagrams for explaining a service process of the service system of FIG. 1 .

As shown in FIG. 1 , the dressing table curation service system 90 according to the embodiment of the present invention includes a part or all of the user terminal device 100 , the communication network 110 , and the dressing table curation service device 120 . and may further include a payment device for a payment service and a manager device for managing a curation service.

Here, "including some or all" means that a third-party device such as a payment device is omitted to configure the vanity curation service system 90, or a part or all of the vanity curation service device 120 is connected to the communication network 110 It means that it can be configured by being integrated into a network device (eg, a wireless switching device, etc.) constituting the

The user terminal device 100 may include various devices using the makeup (large) curation service according to an embodiment of the present invention. Here, "dressing table" does not necessarily mean any table, but can be understood as a place (eg, home) where a user holds cosmetics, and "curation service" is a curator who plans and explains works to be displayed in art galleries, etc. It can be understood as a service that helps others to consume by collecting, sharing, and adding value to the content they want from the Internet. The user terminal device 100 may include a PC-based desktop computer, a laptop computer, a tablet PC, and a wearable device such as a mobile-based smart phone or a domestic S company's Galaxy * Gear. Of course, in an embodiment of the present invention, a mobile-based device that executes an application (hereinafter, an app) is preferable.

The user terminal device 100 downloads and installs an app from the dressing table curation service device 120 or the App Store in order to use the service according to an embodiment of the present invention, and then executes it to apply the cosmetics held in the dressing table. provide information about That is, the user terminal device 100 provides information about the cosmetics it owns to the dressing table curation service device 120 , and thus can receive various services provided from the dressing table curation service device 120 . . The user terminal device 100 may, for example, input a cosmetic name through a search window on a service screen and then select and provide a cosmetic product from the search result, but in an embodiment of the present invention, a picture image is curated for a dressing table by taking a picture. It may be desirable to provide the service device 120 or provide a photographed image of the dressing table, that is, a moving picture. In an embodiment of the present invention, such a photographic image or a photographed image may be named as cosmetic dressing table information possessed by the user.

Of course, the user may further provide information related to his/her skin condition, etc. while providing information on cosmetics on the dressing table through the user terminal device 100 . In an embodiment of the present invention, this may be variously named skin condition information, user information, or the like. Of course, this information may be understood as a subordinate concept of the above dressing table information. For example, user information may include various information related to skin type information such as oily or dry skin, concerns, purpose, taste, preference, price reasonable line, effective purchase price range, satisfaction level, repurchase rate, use cycle/pattern, and preference category. can

When this process is completed, the user terminal device 100 can receive services related to customized curation, micro-target marketing, personalized commerce, etc. according to an embodiment of the present invention provided by the dressing table curation service device 120 . do. Such a service may be called 'my own dressing table' in an embodiment of the present invention. More specifically, the user terminal device 100 provides compatibility and recommendation services linked to the efficacy, effect, suitability, and ingredients of cosmetics, personalized commerce linked to the price of cosmetics (custom discount), keyword reviews linked to customer reviews of cosmetics, Micro-target marketing related to cosmetic advertisements, customized samples (rewards) linked to customers' cosmetic experiences and experiences, and matching content services linked to cosmetic contents can be provided. The above cosmetic suitability includes the user's skin type, concerns, purpose, suitability for use, preference, and taste.

More specifically, as shown in FIG. 2 , the user terminal device 100 may check the data on the dressing table analysis result. This can be confirmed in My Page, etc. through login on the main screen after accessing the service through the user terminal device 100 . Also, as shown in FIGS. 3 and 4 , the user terminal device 100 may be provided with information on compatibility between the user and currently owned cosmetics and compatibility between the currently owned cosmetics. 3A and 4 show screens for compatibility between customers and cosmetics, that is, suitability for use. Also, the user terminal device 100 may be provided with information on compatibility between products as shown in FIG. 3B . Through the service screen, you can receive information on compatibility between cosmetics with items such as honey combination and worst combination of cosmetics, or you can receive new cosmetics recommendations in the process.

In addition, the user terminal device 100 may visualize a keyword review related to a specific cosmetic and show it on the screen. This is shown in FIG. 5 . When customers who have used cosmetics leave reviews, the dressing table curation service device 120 collects and analyzes the keywords on the Internet, divides them into positive and negative items, and sets the review keywords of customers related to the corresponding area in the user terminal device 100 . It is displayed on the screen upon request. As the number of keywords increases, the size of the text is gradually increased to highlight positive and negative images, i.e., feelings. More details will be dealt with later.

In summary, the user terminal device 100 provides compatibility between the user and cosmetics (or first compatibility) and the compatibility (or second compatibility) between the cosmetics you own, you can receive a new cosmetic recommendation that suits you. Of course, such recommendation may be made based on user information such as preferred price information provided by the user at the time of membership registration. In addition, the user terminal device 100 will be able to visually check the reviews on the screen by dividing the reviews of users who have used the designated cosmetics into positive and negative items based on keywords.

The communication network 110 includes both wired and wireless communication networks. For example, as the communication network 110 , a wired or wireless Internet network may be used or interlocked. Here, the wired network includes an Internet network such as a cable network or a public telephone network (PSTN), and the wireless communication network includes CDMA, WCDMA, GSM, Evolved Packet Core (EPC), Long Term Evolution (LTE), and Wibro networks. meaning to include Of course, the communication network 110 according to the embodiment of the present invention is not limited thereto, and may be used, for example, in a cloud computing network under a cloud computing environment, a 5G network, and the like. For example, when the communication network 110 is a wired communication network, the access point in the communication network 110 can connect to a switching center of a telephone company, etc., but in the case of a wireless communication network, it accesses the SGSN or GGSN (Gateway GPRS Support Node) operated by the communication company to transmit data. data processing, or by connecting to various repeaters such as Base Station Transmission (BTS), NodeB, and e-NodeB.

The communication network 110 may include an access point. Here, the access point includes a small base station, such as a femto or pico base station, which is often installed in a building. Femto or pico base stations are classified according to the maximum number of user terminal devices 100, etc. that can be connected to each other in the classification of small base stations. Of course, the access point may include a short-distance communication module for performing short-distance communication such as Zig-bee and Wi-Fi with the user terminal device 100 and the like. The access point may use TCP/IP or Real-Time Streaming Protocol (RTSP) for wireless communication. Here, short-distance communication may be performed in various standards such as Bluetooth, Zigbee, infrared, radio frequency (RF) such as ultra high frequency (UHF) and very high frequency (VHF), and ultra-wideband communication (UWB) in addition to Wi-Fi. Accordingly, the access point extracts the location of the data packet, designates the best communication path for the extracted location, and delivers the data packet to the next device, such as the dressing table curation service device 120, along the designated communication path. . The access point may share several lines in a general network environment, and includes, for example, a router, a repeater, and a repeater.

The dressing table curation service device 120 provides my own dressing table curation service according to an embodiment of the present invention. Here, "my own vanity curation service" includes customized curation related to users' makeup or cosmetics, micro-target marketing, personalized commerce service, and the like. The specific contents of each service have been described above, so we will replace them with those contents.

Above all, the dressing table curation service device 120 builds big data by collecting cosmetic data of about 30,000 domestic brand products that are currently sold or sold in the market before providing the service. Cosmetic data may be collected in the form of metadata. More specifically, big data collection can be divided into customer data collection, cosmetic data collection, makeup method and application method data collection, and beauty content data collection. It is systematically classified and stored in the DB 120a of FIG. 1 . In addition to crawling technology, various technologies such as search robots can be applied for data collection. Through data collection, not only basic cosmetic information, but also detailed information such as cosmetic ingredients, efficacy, effects, non-price properties, reviews, and feeling of use are collected to perform purification and processing. For example, for a customized curation service, even cosmetics related meta information can be collected and extracted, and data processing can be performed through a recommendation algorithm.

In addition, the dressing table curation service device 120 may analyze the collected cosmetic data and perform an operation such as recommendation to the user terminal device 100 by a recommendation algorithm through necessary data extraction and purification. The dressing table curation service device 120 may perform data-based curation for data collection and matching recommendation, and may perform AI and machine learning curation operations for personalized recommendation or predictive recommendation. Data-driven curation is related to collecting, analyzing, and refining data on a user's dressing table, while AI and machine learning curation is related to data collection and analysis advancement. In this way, for data processing, the dressing table curation service device 120 may execute a binary program to perform a curation operation. Data-based curation notifies the user as no result (false) when there is no matching result based on probability and statistics based on rules, for example. On the other hand, AI-based curation is somewhat different in that it can provide results to users in any way because it performs predictive actions.

More specifically, the dressing table curation service device 120 collects and analyzes customer cosmetic data provided through the user terminal device 100 on the cosmetic products that users hold in each dressing table. For this, a data-based curation operation may be performed. For example, meta information extraction, statistics/meta analysis, and matching algorithm may be executed for matching recommendation. For example, when a photographic image of a product is provided through the user terminal device 100 or a video is provided, it is analyzed to determine which product is based on the established cosmetic data, and based on this, the customer's cosmetic information is built. will do 2 and 6 show an operation of matching big data 610 for cosmetics sold on the market with cosmetic information 600 for cosmetics owned by a customer. These data may be constructed in the DB 120a by connecting them in a tree form for each category (eg, a preferred price range, a preferred brand, etc.).

Next, the dressing table curation service device 120 performs operations such as calculating a skin type score, skin concerns, reflecting the customer's evaluation, reflecting the cosmetic score score, and calculating the compatibility score in order to perform the compatibility operation between the customer and the cosmetics. Of course, through this operation, a compatibility score can be generated to determine whether the customer, that is, the user, and the cosmetics that the user is using fit well. For example, the skin type indicates dry, oily, neutral, combination, sensitive, and the like. Skin concerns include acne, atopic dermatitis, skin troubles, wrinkles, anti-aging, and pore management. The compatibility score may be calculated according to the distribution ratio of the evaluation items for each customer dressing table product, and may be provided in the form of an average value to the user terminal device 100 as shown in FIG. 2 . <Table 1> shows the compatibility score calculation process. Compatibility between customers and products is detailed and advanced in compatibility evaluation items and points, scoring is calculated according to the distribution ratio of each evaluation item, and the average score and comparison of similar age and skin types are advanced.

Evaluation items points score ratio calculated score skin type 90 20% 18 skin trouble 70 20% 14 customer testimonials 80 50% 40 product rating 80 10% 8 synthesis 100% 80

In addition, as for the compatibility between products, the compatibility product can be recommended based on the compatibility table based on product information that matches the cosmetics registered by the customer. Of course, here, the compatibility combination table corresponds to the reference value. For example, a plurality of products having good compatibility with product A may be matched, and such a relationship may be recorded in the compatibility combination table. going to use this. The compatibility information between products may be provided in the form of FIG. 3B . In other words, information can be provided in terms of honey combinations and worst combinations. For example, in the case of the worst combination, only the product group may be exposed, and product-specific information of the product group may not be provided to the user. Since the service may be provided in various forms according to the intention of the service designer, the embodiment of the present invention will not be limited to any one form.

The compatibility behavior between products can be divided into three stages. As shown in <Table 2>. The first step is to search and confirm whether the customer's vanity product is included in the corresponding product line. In step 2, if there is a product family, information of the matching product family is provided. In addition, the third step is to calculate the ranking by product of the matching product group. The calculation method of the compatibility score between products can be calculated as the sum of the score for each product and the compatibility score for each user. For the compatibility score for each user, the compatibility calculation score standard between customers and cosmetics is used, and since there is no customer star rating, it is excluded from the evaluation. This operation may be performed by applying a formula to the compatibility score calculation algorithm. In addition, it is possible to perform an operation for ranking and exposing compatible products.

Step 1 Step 2 Step 3 Confirm that you have the relevant product group Matching product line information Ranking by product in product group Search Matching & Exposure Scoring & Listing

Furthermore, the dressing table curation service device 120 may perform a personalized recommendation as shown in FIG. 4 through statistics and meta-analysis. Compare products that are right for you, allowing users to choose a better product they may not have known about. The UI screens as in (a) and 4 of FIG. 3 may be provided in various forms, and FIG. 4 shows that the Ceramide Ato product has a higher compatibility index for any customer's skin type.

Above all, the dressing table curation service device 120 according to an embodiment of the present invention performs curation advancement through AI and machine learning curation. Typically, a personalized recommendation service may be provided by deep learning learning, and a predictive recommendation service may be provided by machine learning and AI. For personalized recommendation, operations such as matching algorithm learning, best combination derivation, and curation advancement can be performed. For predictive recommendation, operations such as pattern analysis, learning, sample/similar grouping, and machine learning fusion can be performed. Here, “curation advancement” may mean that a customer recommendation is made in stages or by dividing the stages. The recommendation algorithm can progress (or switch) from data-based decision-making (recommendation) to artificial intelligence (AI)-centered decision-making (recommendation). For example, in level 1, cosmetics are recommended based on efficacy, compatibility, and user information (V1.0). In step 2, customer dressing table and ingredient-based recommendations (V2.0) are performed. In this step, a statistical estimation recommendation algorithm or quantitative recommendation is performed. In step 3, user purchasing pattern recommendation and qualitative recommendation based on big data (V3.0) are performed. In step 4, artificial intelligence (AI) and machine learning-based algorithms are applied, and a personalized recommendation algorithm and a search recommendation algorithm (eg, search for concerns and purposes) can be executed to make step-by-step recommendations. The recommendation method is algorithm-based recommendation, and each meta tag information value of a product is collected and matched with customer information based on this. Then, collect and input product tags as much as possible. A smart vanity service for me is provided by performing artificial intelligence and machine learning-based recommendations in step 4. AI and machine learning recommendations refer to recommendations based on big data analysis and learning. In addition, the dressing table curation service device 120 may provide a concierge service (consulting). Analyze and combine the makeup of the customer’s dressing table, and combine 20 to 50 products to recommend makeup/makeup recommendations, fashion dress code recommendations, and makeup codes according to the purpose, location, concept, and dress code of the meeting can recommend

In addition, the dressing table curation service device 120 may perform core keyword review analysis required for purchase selection. Thousands of reviews are collected and displayed on one screen as shown in FIG. 5 . I refine the data by turning numerous reviews into keywords, and collect and show only the core reviews of my selection criteria. A graphic screen may be generated so that cosmetic evaluation can be quickly confirmed with positive and negative keywords and provided to the user terminal device 100 . Through this, review confirmation and selection fatigue may be reduced, and efficient product selection will be possible. The dressing table curation service device 120 adjusts the size of positive and negative keywords so that the user has positive and negative feelings and visualizes them.

In summary, when data construction and analysis are completed, the dressing table curation service device 120 may provide the dressing table analysis result on the service screen as shown in FIG. 2 when there is a request from the user terminal device 100, and the process compatibility information can be provided. The compatibility information may provide compatibility information between the user and the cosmetics owned by the user as well as compatibility information between the user and the cosmetics owned by the user. Furthermore, when providing information on compatibility between cosmetics, the dressing table curation service device 120 may provide accurate information on compatibility between cosmetics based on, for example, information on the order of use of the cosmetics. Compatibility information can be provided in the form of compatibility scores between customers and cosmetics by analyzing and matching data of customers' skin types, skin concerns, and product evaluation scores. As such, it can be seen that the dressing table curation service device 120 analyzes the customer and the dressing table to find information that the customer does not know, and provides customized customer analysis and information.

Meanwhile, although not shown separately in the drawings, the payment device may include a payment server or a simple payment server of a PG company, a VAN company, or a service operator. For example, when there is a payment request such as card payment from the user terminal device 100 for a service fee or recommended cosmetics of the dressing table curation service device 120, the payment device is linked with the dressing table curation service device 120 After the payment is made by driving the payment module of the payment device, payment information is shared with each other, so that cost settlement can be performed. For example, since the dressing table curation service device 120 may operate in conjunction with a payment device to pay for advertisements, etc., the embodiment of the present invention will not be particularly limited to any one payment method. In other words, the advertisement cost, etc. may be approved when there is an advertisement approval request from the advertiser after paying the cost through direct deposit without interlocking the payment device, so that it can be displayed on the screen of the user terminal device 100 .

The manager device includes an operator who manages the dressing table curation service device 120 or a user device of the operator. The manager device includes a computing device such as a desktop computer and a portable terminal device such as a smart phone, and the manager can access the dressing table curation service device 120 through the manager menu and register various information such as notices, and Various operations for managing the dressing table curation service device 120 are performed. For example, when a renewal operation of the service screen is required, the corresponding renewal operation may be performed.

7 is a block diagram illustrating a detailed structure of the dressing table curation service apparatus of FIG. 1 .

As shown in FIG. 7 , the dressing table curation service apparatus 120 according to an embodiment of the present invention includes a communication interface unit 700 , a control unit 710 , a dressing table curation unit 720 , and a storage unit 730 . includes some or all.

Here, “including some or all” means that some components such as the storage unit 730 are omitted, or some components such as the dressing table curation unit 720 are other components such as the control unit 710 . It is described as including all in order to help a sufficient understanding of the invention as meaning that it can be configured by being integrated with the present invention.

The communication interface unit 700 communicates with the user terminal device 100 via the communication network 110 of FIG. Each of the devices can communicate with each other in order to collect them. In this process, the communication interface unit 700 may perform various operations such as modulation/demodulation, muxing/demuxing, encoding/decoding, and scaling for converting resolution, which are obvious to those skilled in the art, and thus further description will be omitted.

If there is a service provider that provides information on various cosmetics, such as a portal service provider, for example, the communication interface unit 700 may operate in connection with a service server of the corresponding company. Of course, for this purpose, an operation for sharing the DB through cooperation between companies may be performed in advance. In addition to these operations, the communication interface unit 700 may collect data related to cosmetics by using various techniques such as crawling or a search robot that collects data on the Internet.

In this way, the communication interface unit 700 not only performs an operation for collecting data of cosmetics sold on the market, but also provides photos or videos about cosmetics held on one's own dressing table provided from the user terminal device 100 . After receiving, it may be provided to the control unit 710 .

As described above, when big data collection of cosmetic-related metadata and cosmetic-related data held in their dressing table provided for each user are completed and operations such as data analysis and matching are completed, the communication interface unit 700 provides a user Various services may be provided according to the request of the terminal device 100 . It is possible to provide a 'my own dressing table' service according to an embodiment of the present invention, and through this, services such as compatibility, recommendation, personalized commerce, keyword review, micro-target marketing, customized sample, and matching content can be provided.

The control unit 710 is in charge of overall control operations of the communication interface unit 700, the dressing table curation unit 720, and the storage unit 730 of FIG. 7 constituting the dressing table curation service device 120 of FIG. 1 . When data related to cosmetics sold on the market is collected through the communication interface unit 700 , it may be temporarily stored in the storage unit 730 , and then retrieved and provided to the dressing table curation unit 720 . In addition, when a picture or video of cosmetics held on the user's dressing table provided by the user terminal device 100 is provided, it is also temporarily stored in the storage unit 730 and then recalled to the dressing table curation unit 720 . can be provided as More precisely, as described above, the control unit 710 receives the dressing table information (or dressing table data) from the user terminal device 100 from the communication interface unit 700 and stores it in the storage unit 730 , and then the dressing table curation unit (720).

In addition, the control unit 710 may provide an app for providing a service according to an embodiment of the present invention stored in the DB 120a or the like according to a request of the user terminal device 100 , and from the user terminal device 100 . When there is a service connection by the execution of the app, the 'my own dressing table' service may be provided by controlling the dressing table curation unit 720 .

The dressing table curator 720 may perform a data construction operation for providing a service according to an embodiment of the present invention, and when the data construction operation is completed, according to the request of the user terminal device 100 , 'my own dressing table' service can be provided. The dressing table curation unit 720 first collects big data on cosmetics sold on the market. Big data can be built by collecting the meta data of cosmetics. In addition, it processes or analyzes the collected data to provide customized curation, micro-targeted marketing, and personalized commerce service.

The dressing table curation unit 720 may perform data-based curation in relation to data collection, matching, and recommendation, and may perform AI and machine learning curation for personalized recommendation or predictive recommendation. Here, the former is rule-based curation and may mean recommending through an operation such as matching in a manner that compares it with pre-stored data based on statistics and probability. On the other hand, the latter corresponds to prediction-based curation. Unlike the former method, as it utilizes artificial intelligence, it always provides response results. Therefore, the dressing table curation unit 720 according to an embodiment of the present invention can initially perform a data-based curation operation as much as the collected data is small, and when big data is secured in the process of providing a service, AI, etc. It can be converted to a curation action. Of course, it is possible to use the two methods in parallel depending on the situation, and since this can be changed according to the intention of the system designer, the embodiment of the present invention will not be limited to any one form.

However, in the case of the recommendation algorithm, the dressing table curator 720 may proceed from data-based decision-making (recommendation) to AI-centered decision-making (recommendation), and for this purpose, a four-step operation may be performed. For example, in step 1, recommendations are made based on cosmetic efficacy, compatibility, and user information; in step 2, recommendations such as statistical estimation are made; in step 3, recommendations based on user purchasing patterns or qualitative recommendations based on big data are made. , in step 4, AI-based recommendation, personalized recommendation, search recommendation, etc. may be operated.

Above all, the dressing table curation unit 720 can provide compatibility information between the user and cosmetics, and compatibility information between the user's cosmetics, for example, through a first-step recommendation operation, while providing analysis results for the cosmetics that it owns. It is also possible to provide a compatibility index for each concern or efficacy according to the skin type (see Fig. 3 (a)). This allows me to compare products that are right for me and choose a better product that users didn't know about. Of course, you can also recommend a new product, namely, cosmetics in this regard. In addition, the dressing table curation unit 720 may provide a core keyword review analysis required for purchase selection, which has been sufficiently described with reference to FIG.

The storage unit 730 may temporarily store various information or data processed under the control of the control unit 710 and then output the stored information. Of course, here, information and data included in a header and a payload are assumed when viewed as a data packet structure. In practice, since information and data are often used interchangeably, the concept of such terms will not be particularly limited in the embodiment of the present invention. For example, the control unit 710 may perform an operation such as decoding the pixel data after separating the additional information of the header of the data packet and the pixel data of the payload through the demux. Information and data may be stored in the storage unit 730 .

Meanwhile, as another embodiment of the present invention, the control unit 710 of FIG. 7 includes a CPU and a memory, and the CPU and the memory may be configured as a single chip. The control unit 710 may include a control circuit, an operation unit (ALU), a command interpretation unit, a registry, and the like, and the memory may include a RAM. The control circuit may perform a control operation, the operation unit may interpret binary bit information arithmetic processing, and the instruction interpreter may interpret what type of operation the input binary bit information is related to. Here, the analysis may be that after matching the data on the left and right sides of the lookup table (LUT), the control circuit finds the data on the right based on the data on the left and performs the operation. The registry is involved in software data storage. According to the above configuration, when the dressing table curation service device 120 is initially driven, the CPU copies the program of the vanity curation unit 720, loads it into the memory, and executes it to rapidly increase the data processing speed.

8 is a flowchart illustrating a driving process of the dressing table curation service apparatus of FIG. 1 .

Referring to FIG. 8 together with FIG. 1 for convenience of explanation, the dressing table curation service device 120 according to an embodiment of the present invention collects and analyzes meta data of cosmetics pre-sold and/or sold in the market. to store (S800). Here, meta data is data that defines and explains a series of data. In a computer, it means the contents of a data dictionary, a schema, and the like, and in a hypertext generating language (HTML) document, the content in a meta tag is metadata. In broadcasting, in order to quickly search for a vast amount of works, the shooting date and time, location, writer, performer, and, in the case of a sound source, composer or singer name, etc., are processed as metadata during program production. Metadata is used for many purposes, but it is mainly used for quick search and simple and systematic content. By implication, metadata can be viewed as detailed data. In addition, the dressing table curation service device 120 collects such meta data to form big data, where the big data is so vast that it is difficult to collect, store, and analyze it with an existing database. means the data of

In addition, the dressing table curation service device 120 receives the dressing table information related to the cosmetics owned by the user from the user's user terminal device, and based on the received dressing table information and the stored analysis result, the first information between the user and the holding cosmetics Cosmetic curation data for the second compatibility between compatibility and possessed cosmetics is generated and provided to the user terminal device (S810). Here, the dressing table information may include various information such as a photograph or video taken of the cosmetics owned by the user, and furthermore, not only the user's skin condition, but also various information such as skin concerns.

The dressing table curation service device 120 may perform a plurality of steps of recommendation based on the dressing table information, and for this purpose, different algorithms may be operated in parallel. For example, if a total of 4 steps of recommendation are possible, if steps 1 to 3 are made using a data-based decision-making method, step 4 is to make a recommendation using an AI-centered decision-making method to collect cosmetic curation data. can be created and provided. Of course, the cosmetic curation data here provides curation data related to cosmetic efficacy and compatibility in the first step, and in the fourth step, curation data in the form of search recommendations and personalized recommendations such as customized discounts by searching for concerns and purposes. can provide

In addition to the above, the dressing table curation service apparatus 120 of FIG. 8 may perform various operations, and since other detailed information has been sufficiently described above, it will be replaced with the contents.

On the other hand, even though it has been described that all components constituting the embodiment of the present invention are combined or operated in combination, the present invention is not necessarily limited to this embodiment. That is, within the scope of the object of the present invention, all the components may operate by selectively combining one or more. In addition, all of the components may be implemented as one independent hardware, but a part or all of each component is selectively combined to perform some or all of the combined functions in one or a plurality of hardware program modules It may be implemented as a computer program having Codes and code segments constituting the computer program can be easily inferred by those skilled in the art of the present invention. Such a computer program is stored in a computer-readable non-transitory computer readable media, read and executed by the computer, thereby implementing an embodiment of the present invention.

Here, the non-transitory readable recording medium refers to a medium that stores data semi-permanently and can be read by a device, not a medium that stores data for a short moment, such as a register, cache, memory, etc. . Specifically, the above-described programs may be provided by being stored in a non-transitory readable recording medium such as a CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, and the like.

In the above, preferred embodiments of the present invention have been illustrated and described, but the present invention is not limited to the specific embodiments described above, and it is common in the technical field to which the present invention pertains without departing from the gist of the present invention as claimed in the claims. Various modifications may be made by those having the knowledge of, of course, and these modifications should not be individually understood from the technical spirit or perspective of the present invention.

100: user terminal device 110: communication network
120: dressing table curation service device 700: communication interface unit
710: control unit 720: dressing table curation unit
730: storage

Claims (13)

a storage unit for collecting and analyzing analysis results of cosmetics sold or sold in the market; and
Receives dressing table information related to the cosmetics owned by the user from the user terminal device of the user, and based on the received dressing table information and the stored analysis result, a first compatibility between the user and the holding cosmetics and between the holding cosmetics A control unit that generates cosmetic curation data for the second compatibility and provides it to the user terminal device;
Dressing table curation service device including. According to claim 1,
The control unit receives the photo or video of the cosmetics held as the dressing table information, and the user's skin type, concerns, purpose, taste, preference, price reasonable line, effective purchase price range, satisfaction level, repurchase rate, use cycle and pattern, preference A dressing table curation service device for further receiving at least one of the categories. 3. The method of claim 2,
The control unit provides the cosmetic curation data by dividing it into a plurality of recommendation steps using the dressing table information, and changing the recommendation step from a rule-based data-based recommendation to an artificial intelligence (AI)-centered recommendation method. service device. 4. The method of claim 3,
The control unit is a dressing table curation service device that provides cosmetic curation data for a personalized commerce service that provides a user-customized discount as the AI-centered recommendation method. According to claim 1,
The control unit extracts positive and negative keywords of arbitrary cosmetics from the cosmetic review information collected as the meta data, and adjusts the size of the extracted keyword to generate visualization data for displaying on the screen of the user terminal device. ration service device. According to claim 1,
The control unit, a dressing table curation service device that provides cosmetic curation data for a personalized recommendation service to select a product suitable for the user based on the user's skin type, concerns, and efficacy. storing, by the storage unit, the analysis result analyzed by collecting meta data of cosmetics sold or sold in the market; and
The control unit receives dressing table information related to the cosmetics owned by the user from the user terminal device of the user, and based on the received dressing table information and the stored analysis result, a first compatibility between the user and the holding cosmetics and the Generating cosmetic curation data for a second compatibility between owned cosmetics and providing it to the user terminal device;
A method of driving a dressing table curation service device comprising a. 8. The method of claim 7,
The receiving step is
At least one of the user's skin type, concerns, purpose, taste, preference, price reasonable line, effective purchase price range, satisfaction, repurchase rate, use cycle and pattern, preference category, A method of driving a dressing table curation service device that further receives information. 9. The method of claim 8,
The providing step is
Driving the dressing table curation service device that divides into a plurality of recommendation steps using the dressing table information, provides the cosmetic curation data, and changes the recommendation step from a rule-based data-based recommendation to an artificial intelligence (AI)-centered recommendation method Way. 10. The method of claim 9,
The providing step is
A method of driving a dressing table curation service device that provides cosmetic curation data for a personalized commerce service that provides a user-customized discount as the AI-centered recommendation method. 8. The method of claim 7,
extracting, by the controller, positive and negative keywords of certain cosmetics from the cosmetic review information collected as the meta data, and adjusting the size of the extracted keywords to generate visualization data for display on the screen of the user terminal device; A method of driving a dressing table curation service device further comprising a. 8. The method of claim 7,
The providing step is
A driving method of a dressing table curation service device that provides cosmetic curation data for a personalized recommendation service to select a product suitable for a user based on the user's skin type, concerns, and efficacy. A computer-readable recording medium including a program for executing a method of driving a dressing table curation service apparatus, comprising:
The driving method of the dressing table curation service device,
storing the analysis results obtained by collecting and analyzing the meta data of cosmetics that have been pre-sold or sold in the market; and
Cosmetic queue for the first compatibility between the user and the holding cosmetics and the second compatibility between the holding cosmetics based on the stored analysis result and dressing table information related to the cosmetics owned by the user received from the user's user terminal device generating data and providing it to the user terminal device;
A computer-readable recording medium that executes.

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