KR20220145557A - Customized Cosmetics Recommendation System and Method Using Artificial Intelligence - Google Patents

Customized Cosmetics Recommendation System and Method Using Artificial Intelligence Download PDF

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KR20220145557A
KR20220145557A KR1020210052277A KR20210052277A KR20220145557A KR 20220145557 A KR20220145557 A KR 20220145557A KR 1020210052277 A KR1020210052277 A KR 1020210052277A KR 20210052277 A KR20210052277 A KR 20210052277A KR 20220145557 A KR20220145557 A KR 20220145557A
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cosmetics
customer
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features
shopping
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김민정
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Abstract

The present invention relates to a function system and method for recommending for a cosmetic raw material capable of creating skin improvement and cosmetic effect in user data through an artificial intelligence system that uses the data of a user and the raw material data used in manufacturing the cosmetics. The present invention comprises: a cosmetic shopping content storage part; a cosmetic interest content storage part; a cosmetic feature analysis part; a customer cosmetic taste analysis part; and a cosmetic recommendation part.

Description

인공지능을 활용한 맞춤형 화장품 추천 시스템 및 방법 {Customized Cosmetics Recommendation System and Method Using Artificial Intelligence}Customized Cosmetics Recommendation System and Method Using Artificial Intelligence}

본 발명은 인공지능을 활용한 맞춤형 화장품 추천 시스템 및 방법에 관한 것으로, 더욱 상세하게는 사용자들의 데이터와 화장품 제조에 사용되는 원료 데이터를 활용한 인공지능 시스템을 통해 사용자 데이터에 피부 개선 및 미용 효과를 창출할 수 있는 화장품 원료에 대해 추천 기능 시스템 및 방법에 관한 것이다.The present invention relates to a customized cosmetic recommendation system and method using artificial intelligence, and more particularly, to provide skin improvement and cosmetic effects to user data through an artificial intelligence system using user data and raw material data used in cosmetic manufacturing. It relates to a system and method for recommending a cosmetic ingredient that can be created.

화장품은 미적인 욕구를 충족시킬 뿐만 아니라 피부 건강을 증진시킬 수 있다는 실용적인 측면에서 최근에는 여성뿐만 아니라 남성들에게도 애용되고 있다. 특히, 최근에는 화장품의 기본적인 기능 이외에도, 특정 피부 타입에 특화된 화장품, 즉 기능성 화장품이 많이 선보이고 있어 그 수요는 확장될 것이다, 기능성 화장품은 예를 들어, 미세먼지 차단, 피지, 주름, 기미 잡티, 여드름 관리, 자외선 차단 등의 기능을 포함하는 화장품이 있다.Cosmetics have recently been 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, there are many cosmetics specialized for a specific skin type, that is, functional cosmetics, so the demand will expand. There are cosmetics that include functions such as care and UV protection.

본 발명은 상기와 같은 문제점을 해결하기 위해 창출된 것으로, 온라인 매장에서 고객이 화장품 이미지를 클릭은 하였으나, 구매하지 않은 화장품에 대한 정보를 관심 화장품 정보로 저장한 후 저장된 정보를 딥러닝 기반의 분석엔진으로 분석하여 고객이 어떤 특징을 가진 화장품을 주로 구매하고 어떤 특징을 가진 화장품은 구매를 기피하는지의 소비자 니즈를 분석한 후 고객이 원하는 화장품을 맞춤형으로 노출해 화장품 구매율을 극대화할 수 있는 고객의 화장품 구매 내용을 인공지능으로 분석하여 맞춤형으로 추천하는 고객 맞춤형 화장품 추천 시스템을 제공하는 것을 목적으로 한다.The present invention was created to solve the above problems, and after a customer clicks on a cosmetic image in an online store but does not purchase information on cosmetics of interest, the stored information is analyzed based on deep learning. After analyzing the consumer needs of which characteristics customers mainly purchase cosmetics and which characteristics they avoid by analyzing with the engine, customers who can maximize the cosmetics purchase rate by customizing the cosmetics they want are exposed. The purpose is to provide a customized cosmetic recommendation system for customers that recommends customized cosmetics by analyzing purchase contents with artificial intelligence.

상기 과제를 해결하기 위해 본 발명에 따른 인공지능을 활용한 맞춤형 화장품 추천 시스템은In order to solve the above problems, the customized cosmetic recommendation system using artificial intelligence according to the present invention is

오프라인 및 온라인 매장에서의 화장품 구매 및 반품 내용을 고객 화장품 쇼핑 DB에 저장하는 화장품 쇼핑 내용 저장부; 온라인 매장에서 고객이 구매하지 않은 화장품에 대한 정보를 관심 화장품 정보로 고객 화장품 클릭 DB에 저장하는 화장품 관심 내용 저장부; 화장품 DB에 저장된 각 화장품에 대해 고객들의 화장품 구매 후기 및 반품 사유를 분석하여 화장품의 특징에 해당하는 가격, 기능성, 선호 나이, 성별 등을 분석하는 화장품 특징 분석부; 상기 화장품 특징 분석부가 분석한 화장품의 특징 정보를 이용하여 상기 고객 화장품 쇼핑 DB에 저장된 고객이 구매한 화장품의 특징 및 반품한 화장품의 특징과 고객 화장품 클릭 DB에 저장된 고객이 클릭한 화장품의 특징을 딥러닝 기반의 분석엔진으로 분석하여 고객별 화장품 카테고리별로 선호 화장품의 특징을 분석하는 고객 화장품 취향 분석부; 및 상기 고객 화장품 취향 분석부의 분석 내용을 토대로 특징이 유사한 화장품을 상기 화장품 DB에서 검색하여 추천하는 화장품 추천부; 를 포함한다. a cosmetics shopping content storage unit for storing cosmetics purchases and returns in offline and online stores in a customer cosmetics shopping DB; a cosmetics interest content storage unit that stores information on cosmetics that the customer has not purchased in the online store as the cosmetics information of interest in the customer cosmetics click DB; a cosmetic feature analysis unit that analyzes customers' reviews of cosmetics purchases and reasons for returns for each cosmetics stored in the cosmetics DB, and analyzes the price, functionality, preferred age, gender, etc. corresponding to the features of the cosmetics; By using the cosmetic feature information analyzed by the cosmetic feature analysis unit, the features of the cosmetics purchased by the customer stored in the customer cosmetics shopping DB, the features of the returned cosmetics, and the features of the cosmetics clicked by the customer stored in the customer cosmetics click DB are deep. A customer's cosmetics taste analysis unit that analyzes the characteristics of preferred cosmetics for each customer's cosmetic category by analyzing it with a learning-based analysis engine; and a cosmetics recommendation unit that searches and recommends cosmetics having similar characteristics in the cosmetics DB based on the analysis contents of the customer cosmetics taste analysis unit. includes

고객이 온라인 매장에 접속했을 때 고객별 맞춤형으로 화장품을 추천할 수가 있기 때문에 고객의 화장품 구매율을 극대화할 수가 있어 고객은 만족도가 높아지고, 온라인 매장 운영회사는 매출을 향상시킬 수 있다.When a customer accesses an online store, it is possible to recommend cosmetics tailored to each customer, thereby maximizing the customer's cosmetics purchase rate, which increases customer satisfaction and enables online store operators to improve sales.

도 1은 본 발명의 실시 예에 따라 인공지능을 활용한 맞춤형 화장품 추천 시스템 및 방법을 형성하는 도면이다.1 is a view of forming a customized cosmetic recommendation system and method using artificial intelligence according to an embodiment of the present invention.

첨부한 도 1을 참조하여 본 발명의 실시 예에 따른 인공지능을 활용한 맞춤형 화장품 추천 시스템 및 방법을 설명한다.A customized cosmetic recommendation system and method using artificial intelligence according to an embodiment of the present invention will be described with reference to the accompanying FIG. 1 .

고객의 화장품 구매 내용을 인공지능으로 분석하여 맞춤형으로 추천하는 소비자 맞춤형 화장품 추천 시스템(C1)은 화장품 쇼핑 내용 저장부(S1), 화장품 관심 내용 저장부(S2), 화장품 특징 저장부(S3), 소비자 화장품 취향 분석부(S4) 및 화장품 추천부(S5) 등을 포함할 수 있다. 또한, 화장품 쇼핑 내용 DB(D1), 화장품 관심 내용(소비자 화장품 클릭) DB(D2), 화장품 특징 DB(D3) 및 소비자 취향 DB(D4)의 데이터베이스를 포함한다. 화장품 쇼핑 내용 저장부(S1)는 고객의 기존 오프라인 및 온라인 매장에서의 화장품 구매 및 반품 내용을 소비자 화장품 쇼핑 DB(D1)에 고객 아이디 별로 저장한다. 화장품 관심 내용 저장부(S2)는 온라인 매장에서 고객이 화장품 이미지를 클릭은 하였으나, 구매하지 않은 화장품에 대한 정보를 관심 화장품 정보로 소비자 화장품 클릭 DB(D2)에 저장한다. 화장품에 대한 정보는 화장품 이름, 가격, 브랜드, 화장품의 기능, 성분 등이 포함된다. The consumer-customized cosmetic recommendation system (C1), which analyzes the customer's cosmetic purchase contents with artificial intelligence and recommends them in a customized way, includes a cosmetic shopping contents storage unit (S1), a cosmetic interest contents storage unit (S2), a cosmetic feature storage unit (S3), It may include a consumer cosmetics taste analysis unit (S4) and a cosmetic recommendation unit (S5), and the like. In addition, it includes a database of cosmetics shopping content DB (D1), cosmetics interest content (consumer cosmetics click) DB (D2), cosmetic feature DB (D3), and consumer preference DB (D4). The cosmetic shopping content storage unit (S1) stores the customer's cosmetic purchases and returns in the existing offline and online stores for each customer ID in the consumer cosmetics shopping DB (D1). The cosmetics interest content storage unit S2 stores information on cosmetics that the customer clicks on the cosmetics image in the online store but does not purchase as interest cosmetics information in the consumer cosmetics click DB (D2). Information on cosmetics includes the name, price, brand, function of cosmetics, ingredients, and the like.

화장품 추천은 소비자가 개선을 원하는 피부의 개선 목적을 획득할 수 있다. 예를 들어, 소비자가 미백을 우선시하는 경우, 피부 개선 목적을 미백으로 설정할 수 있다. 일 개시에 의하여 화장품 추천은 설정된 피부 개선 목적에 기반을 두어 사용자의 현재 상태에 맞는 화장품을 추천할 수 있다. 일 개시에 의하여 화장품 추천 장치는 피부 개선 목적에 따라, 또는 현재 사용자 피부에 발생한 트러블의 심각도에 따라 우선순위를 조정하여 화장품을 추천할 수 있다. The cosmetic recommendation may acquire the purpose of improving the skin that the consumer wants to improve. For example, when the consumer prioritizes whitening, the skin improvement purpose may be set to whitening. According to one disclosure, the cosmetic recommendation may be based on a set skin improvement purpose, and may recommend a cosmetic product suitable for the user's current condition. According to one disclosure, the cosmetic recommendation device may recommend cosmetics by adjusting the priority according to the purpose of skin improvement or the severity of a trouble occurring on the current user's skin.

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본 명세서는 오프라인 및 온라인 매장에서의 화장품 구매 및 반품 내용을 고객 화장품 쇼핑 DB에 저장하는 화장품 쇼핑 내용 저장부; 온라인 매장에서 고객이 구매하지 않은 화장품에 대한 정보를 관심 화정품 정보로 고객 화장품 클릭 DB에 저장하는 화장품 관심 내용 저장부; 화장품 DB에 저장된 각 화장품에 대해 고객들의 화장품 구매 후기 및 반품 사유를 분석하여 화장품의 특징에 해당하는 가격, 기능성, 선호 나이, 성별 등을 분석하는 화장품 특징 분석부; 상기 화장품 특징 분석부가 분석한 화장품의 특징 정보를 이용하여 상기 고객 화장품 쇼핑 DB에 저장된 고객이 구매한 화장품의 특징 및 반품한 화장품의 특징과 고객 화장품 클릭 DB에 저장된 고객이 클릭한 화장품의 특징을 딥러닝 기반의 분석엔진으로 분석하여 고객별 화장품 카테고리별로 선호 화장품의 특징을 분석하는 고객 화장품 취향 분석부; 및 상기 고객 화장품 취향 분석부의 분석 내용을 토대로 특징이 유사한 화장품을 상기 화장품 DB에서 검색하여 추천하는 화장품 추천부; 를 포함하는 인공지능을 활용한 맞춤형 화장품 추천 시스템 및 방법이다.The present specification includes a cosmetics shopping content storage unit for storing cosmetics purchases and returns in offline and online stores in a customer cosmetics shopping DB; a cosmetics interest content storage unit that stores information on cosmetics that the customer has not purchased in the online store as interest cosmetics information in the customer cosmetics click DB; a cosmetic feature analysis unit that analyzes customers' reviews of cosmetics purchases and reasons for returns for each cosmetics stored in the cosmetics DB, and analyzes the price, functionality, preferred age, gender, etc. corresponding to the features of the cosmetics; By using the cosmetic feature information analyzed by the cosmetic feature analysis unit, the features of the cosmetics purchased by the customer stored in the customer cosmetics shopping DB, the features of the returned cosmetics, and the features of the cosmetics clicked by the customer stored in the customer cosmetics click DB are deep. A customer's cosmetics taste analysis unit that analyzes the characteristics of preferred cosmetics for each customer's cosmetic category by analyzing it with a learning-based analysis engine; and a cosmetics recommendation unit that searches and recommends cosmetics having similar characteristics in the cosmetics DB based on the analysis contents of the customer cosmetics taste analysis unit. It is a customized cosmetic recommendation system and method using artificial intelligence, including
KR1020210052277A 2021-04-22 2021-04-22 Customized Cosmetics Recommendation System and Method Using Artificial Intelligence KR20220145557A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102577819B1 (en) * 2022-11-29 2023-09-13 주식회사 클루메틱 Method for cosmetics recommendation and apparatus for performing the method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102577819B1 (en) * 2022-11-29 2023-09-13 주식회사 클루메틱 Method for cosmetics recommendation and apparatus for performing the method

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