• 제목/요약/키워드: Cosmetics Recommendation

검색결과 23건 처리시간 0.027초

한방화장품 소비자의 구매행동이 브랜드태도, 쇼핑만족 및 추천의도에 미치는 영향 (The Influence of Purchasing Behavior on Brand Attitude, Shopping Satisfaction, and Recommendation of Herbal Cosmetics Consumer)

  • 이정미;안종숙
    • 패션비즈니스
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    • 제15권1호
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    • pp.129-144
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    • 2011
  • The purpose of this study was to investigate the influence of purchasing behavior on brand attitude, shopping satisfaction, and recommendation of herbal cosmetics consumer. Through judgment sampling method, selected 304 survey questionnaires were used for final analysis from herbal cosmetics consumer. With the collected data, t-test, one-way ANOVA, and multiple regression analysis were performed by SPSS 14.0. The results of the analysis were summarized as follows. First, level of education no significant difference on purchasing behavior, but age, marital status, average income, and job type showed significant difference on purchasing behavior. Second, level of education and average income no significant difference on brand attitude, shopping satisfaction, and recommendation, but age, marital status, and job type showed significant difference on brand attitude, shopping satisfaction, and recommendation. Third, the reasonable purchase, conformity purchase, and conspicuous purchase impacts positively(+) influence, but impulse purchase impacts negatively(+) influence on brand attitude. Fourth, the rational purchase and conspicuous purchase impacts positively(+) influence on shopping satisfaction. Fifth, the conformity purchase and conspicuous purchase impacts positively(+) influence on recommendation.

An Intelligent Recommendation Service System for Offering Halal Food (IRSH) Based on Dynamic Profiles

  • Lee, Hyun-ho;Lee, Won-jin;Lee, Jae-dong
    • 한국멀티미디어학회논문지
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    • 제22권2호
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    • pp.260-270
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    • 2019
  • As the growth of developing Islamic countries, Muslims are into the world. The most important thing for Muslims to purchase food, ingredient, cosmetics and other products are whether they were certified as 'Halal'. With the increasing number of Muslim tourists and residents in Korea, Halal restaurants and markets are on the rise. However, the service that provides information on Halal restaurants and markets in Korea is very limited. Especially, the application of recommendation system technology is effective to provide Halal restaurant information to users efficiently. The profiling of Halal restaurant information should be preceded by design of recommendation system, and design of recommendation algorithm is most important part in designing recommendation system. In this paper, an Intelligent Recommendation Service system for offering Halal food (IRSH) based on dynamic profiles was proposed. The proposed system recommend a customized Halal restaurant, and proposed recommendation algorithm uses hybrid filtering which is combined by content-based filtering, collaborative filtering and location-based filtering. The proposed algorithm combines several filtering techniques in order to improve the accuracy of recommendation by complementing the various problems of each filtering. The experiment of performance evaluation for comparing with existed restaurant recommendation system was proceeded, and result that proposed IRSH increase recommendation accuracy using Halal contents was deducted.

일본인 관광객의 국내 화장품 구매 시 점포만족도에 관한 연구 (The Study of Japanese Customers' Cosmetic Store Satisfaction when Tourists Purchase Korean Cosmetic Products)

  • 서현주;황선진;송기은
    • 복식
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    • 제64권1호
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    • pp.77-88
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    • 2014
  • This study examined the cosmetic store attributes that japanese tourists evaluated when purchasing cosmetics in korean cosmetic stores and the effect of those attributes on satisfaction, repurchase intention and recommendation intention. The subjects of this study were 250 Japanese female tourists who had purchase experiences of Korean cosmetics in the stores. Data analysis was conducted using factor analysis, regression analysis, and ANOVA using SPSS 15.0. The result of this study was as follows: First, cosmetic store attributes for Japanese tourists were composed of four factors such as products, store's atmosphere, salesperson and sales promotion. Second, it was shown that the salesperson and store atmosphere attributes have positive effect on cosmetic store satisfaction. Third, it was shown that store satisfaction had a positive effect on both repurchase intention and recommendation intention. Fourth, Japanese tourists' satisfaction on cosmetic store depends on the frequency of visiting Korea, and preference of the Korean Wave.

A Recommendation System for Repetitively Purchasing Items in E-commerce Based on Collaborative Filtering and Association Rules

  • Yoon Kyoung Choi;Sung Kwon Kim
    • Journal of Internet Technology
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    • 제19권6호
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    • pp.1691-1698
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    • 2018
  • In this paper, we are to address the problem of item recommendations to users in shopping malls selling several different kinds of items, e.g., daily necessities such as cosmetics, detergent, and food ingredients. Most of current recommendation algorithms are developed for sites selling only one kind of items, e.g., music or movies. To devise efficient recommendation algorithms suitable for repetitively purchasing items, we give a method to implicitly assign ratings for these items by making use of repetitive purchase counts, and then use these ratings for the purpose of recommendation prediction with the help of user-based collaborative filtering and item-based collaborative filtering algorithms. We also propose associate item-based recommendation algorithm. Items are called associate items if they are frequently bought by users at the same time. If a user is to buy some item, it is reasonable to recommend some of its associate items. We implement user-based (item-based) collaborative filtering algorithm and associate item-based algorithm, and compare these three algorithms in view of the recommendation hit ratio, prediction performance, and recommendation coverage, along with computation time.

딥러닝을 이용한 사용자 피부색 기반 파운데이션 색상 추천 기법 연구 (A Study On User Skin Color-Based Foundation Color Recommendation Method Using Deep Learning)

  • 정민욱;김현지;곽채원;오유수
    • 한국멀티미디어학회논문지
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    • 제25권9호
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    • pp.1367-1374
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    • 2022
  • In this paper, we propose an automatic cosmetic foundation recommendation system that suggests a good foundation product based on the user's skin color. The proposed system receives and preprocesses user images and detects skin color with OpenCV and machine learning algorithms. The system then compares the performance of the training model using XGBoost, Gradient Boost, Random Forest, and Adaptive Boost (AdaBoost), based on 550 datasets collected as essential bestsellers in the United States. Based on the comparison results, this paper implements a recommendation system using the highest performing machine learning model. As a result of the experiment, our system can effectively recommend a suitable skin color foundation. Thus, our system model is 98% accurate. Furthermore, our system can reduce the selection trials of foundations against the user's skin color. It can also save time in selecting foundations.

로하스 계층별 천연 화장품에 대한 가치 지각이 구매 의도에 미치는 영향 (The Effects of Value Perception for Natural Cosmetics by LOHAS Class on Their Purchasing Intention)

  • 이강이;김순심
    • 한국의상디자인학회지
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    • 제14권3호
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    • pp.111-122
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    • 2012
  • This study analyzed the differences in value perception and purchasing intention for natural cosmetics by LOHAS class and investigated what influences people's value perception for natural cosmetics had on their purchasing intention. Total 450 questionnaires were distributed to adults of over 20s to 50s for the period from Dec. 1, 2011 to Dec. 14 and 410 questionnaires were used as analysis data. As for collected data, the statistical package SPSS 18.0 Version was used for factor analysis, frequency analysis, reliability test, one-way ANOVA, Chi-Square test, Scheffe-test, correlations analysis and multiple regression analysis. LOHAS class was divided into three groups (higher, middle and lower) based on LOHAS index. Through factor analysis, the value perception for natural cosmetics were divided into three factors (social value, emotional and functional value perception). The results of this study were obtained as below. First, in case of the value perception for natural cosmetics by LOHAS class, it was demonstrated that the higher LOHAS classes they were, the higher value perception for natural cosmetics (social, emotional and functional value perception) they had. Second, in case of the effects of the value perception for natural cosmetics by LOHAS class on their purchasing intention (intention to use and recommendation of usage), it was found that their value perception influenced their purchasing intention. Social value perception and functional value perception, especially social value perception largely affected the purchasing intention of all LOHAS classes, while emotional value perception didn't affected the purchasing intention.

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피부 상태 문진을 활용한 개인화 맞춤형 화장품 추천에 관한 연구 (Product Recommendation Using Survey And Skin Type)

  • 박학권;임영환;림빈
    • 문화기술의 융합
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    • 제8권3호
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    • pp.435-439
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    • 2022
  • 최근 코로나19시대를 맞으며 다양한 분야에 영향을 미치고 있다. 대표적으로 편리함을 추구하는 현대인의 성향이 맞물려 여러 서비스 분야에서 비대면(언택트) 서비스가 트렌드 물결을 타고 영역을 넓혀가고 있다. Cosmetics 업계에서도 비대면 서비스에 많은 관심을 가지고 있다. 하지만 Cosmetics 업계에서는 고객의 피부정보 기반 개인 맞춤형 서비스는 제공하지 않고 있다. 본 논문에서는 현대인의 성향에 맞게 단순 비대면 서비스를 넘어 수집된 개인의 피부 정보 기반으로 개인 맞춤형 제품을 추천해주는 문진 서비스에 대하여 연구하였다. 사용자는 온라인에서 제공되는 문진 서비스를 이용하여 응답한 내용에 따라 고객의 피부타입을 정교하게 찾아주고 피부타입에 맞는 화장품을 제공함으로써 고객들의 적극적인 참여를 이끌어 내고 이로 인하여 고객에게 더 많은 혜택을 제공할 수 있도록 하는 선순환을 만들어 내고자 한다.

며느리배꼽추출물을 함유하는 페이스 크림의 보습 및 건조함 감소 효과 (Moisturizing and Dryness Reduction Effect of Face Cream Containing Persicaria Perfoliata (L.) Extract)

  • 김성윤;윤현서;현숙경;박충무
    • 대한통합의학회지
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    • 제10권3호
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    • pp.27-36
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    • 2022
  • Purpose : This study was aimed to analyze the effects of cosmetics containing Persicaria perfoliata water extract (PPWE) on the skin moisturizing and improvement of skin condition in clinical trials. Methods : Clinical trial was conducted for five weeks after IRB approval at Dong-Eui University. Out of a total of 64 people, 15 people each were assigned to four groups as follows; control group A, B, C and the experimental group A that using cosmetic containing PPWE. Skin condition was measured two times, before and after clinical trial, by a professional skin analyzer, SDM (skin diagnosis system). Moisture and oil value of participants was analyzed twice, each morning and evening, using a portable device on their cheeks. In addition, the survey was investigated subjective satisfaction on change in skin condition and the satisfaction on the use of cosmetics. Result : The experimental group exhibited subjectively significant changes before and after clinical trials on skin its dryness (p=.039), blush (p=.017), and redness (p<.001). In addition, subjective evaluation was also the highest satisfaction in aspects of number of application (p=.003), amount of application (p=.002), moisture maintenance, and skin scratching frequency. The satisfaction on the use of cosmetics was the highest in the intention to repurchase (p=.045), recommendation willingness to others (p=.020), and intention to use various products (p=.001). Skin moisture of the clinical trial participants using the SDM, moisture level and elasticity of the experimental group increased by 12.94 and 10.28. Moisture level, which was measured by a portable device, was the most potently increased in the experimental group. Conclusion : Consequently, PPWE containg cosmetics exhibited the effects of moisturization and attenuated skin dryness in clinical trials, which might be utilized as a fundamental data to develop numerous lines of cosmetics.

소비자 감성 기반 뷰티 경험 패턴 맵 개발: 화장품을 중심으로 (Development of Beauty Experience Pattern Map Based on Consumer Emotions: Focusing on Cosmetics)

  • 서봉군;김건우;박도형
    • 지능정보연구
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    • 제25권1호
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    • pp.179-196
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    • 2019
  • 최근의 '똑똑한 소비자(Smart Consumer)'라 불리는 소비자가 많아지고 있는데, 이들은 제조사나 광고를 통해 전달되는 정보에 의존하지 않고, 기존 사용자나 전문가들의 후기, 여러 과학 지식을 획득하여 제품에 대한 이해를 높이고, 본인 스스로가 직접 판단하여 구매하고 있다. 특히나 화장품 분야는 인체 유해성과 같은 부정적인 요소에 대한 민감도가 높고, 자신의 고유한 피부 특성과의 조화도 고려되어야 하기 때문에, 전문적인 지식과 타인의 경험, 본인의 과거 경험 등을 종합적으로 생각하여 구매 의사결정을 내려야 하고, 이에 대해서 적극적인 소비자가 많아지고 있다. 이러한 움직임은 '셀프 뷰티' 와 같은 '셀프' 문화의 열풍과 함께, 문화 현상인 '그루밍족'의 등장, 사회적 트렌드인 'K-뷰티' 와도 동행한다고 할 수 있다. 맞춤형 화장품에 대한 관심의 급부상도 이러한 현상 중 하나라 볼 수 있다. 소비자들의 맞춤형 화장품의 니즈를 충족시키기 위해, 화장품 제조사나 관련 기업들은 ICT기술과의 융합을 통하여 프리미엄 서비스를 중심으로 소비자의 니즈에 대응하고 있다. 그러나 기업 및 시장 현황이 맞춤형 화장품을 향해 진화하고 있지만, 소비자의 피부 상태, 추구하는 감성, 실제 제품이나 서비스까지 소비자 경험을 전체적으로 완전하게 다루는 지능형 데이터 플랫폼은 부재한다. 본 연구에서는 소비자 경험에 대한 지능형 데이터 플랫폼 구축을 위한 첫 단계로 소비자 언어 기반의 화장품 감성 분석을 수행하였다. 소비자들 개인의 선호나 취향이 분명한 앰플/세럼 카테고리를 중심으로 매출 순위 1위에서 99위까지의 99개 제품을 선정하여, 블로그와 트위터 등의 SNS 상에 언급되는 후기 내에 화장품 경험에 대한 소비자 감성을 수집하였다. 총 357개의 감성 형용사를 수집하였고, 고객 여정 워크샵을 통해 유사 감성을 합치고, 중복 감성을 통합하는 작업을 수행하였으며, 최종 76개 형용사를 구축했다. 구축한 형용사에 대한 SOM 분석을 통해 화장품에 대한 소비자 감성에 대한 클러스터링을 실시했다. 분석 결과, 총 8개의 클러스터를 도출했고, 클러스터 별 각 노드의 벡터 값을 기준으로 소비자 감성 Top 10을 도출했다. 소비자 감성을 기준으로 클러스터별 소비자 감성에 서로 다른 특징이 발견됐으며, 소비자에 따라 다른 소비자의 감성을 선호, 기존과는 다른 소비자 감성을 고려한 추천 및 분류 체계가 필요함을 확인했다. 연구 결과를 통해 감성 분석의 활용 도메인이 화장품만이 아닌 다양한 영역으로 확장될 수 있음 확인했으며, 감성 분석을 통한 소비자 인사이트를 도출할 수 있다는 점을 시사했다. 또한, 본 연구에서 활용한 디자인 씽킹(Design Thinking)의 방법론의 적용하여 화장품 특화된 감성 사전을 과학적인 프로세스로 구축했으며, 화장품에 대한 소비자의 인지 및 심리에 대한 이해를 도울 수 있을 것으로 기대한다.

소비자의 개인적 특성이 브랜드 구매의사결정에 미치는 영향 연구 - 중국 20-30대 화장품 소비자 라이프스타일 연구를 중심으로 - (Assessing the Perspective of Individual Consumers on Cosmetics Brand Purchasing According to Their Lifestyle of Young Consumers Living in the Metropolitan Areas of China)

  • 김주호;가영현
    • 마케팅과학연구
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    • 제15권3호
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    • pp.1-30
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    • 2005
  • 본 연구는 세계의 시장으로 주목을 받고 있는 중국의 화장품 시장과 소비자를 이해하기위해 중국 대도시의 화장품 브랜드 소비자를 대상으로 설문조사를 실시하여 라이프스타일 유형에 따른 화장푸 브랜드 구매행동을 분석하였다. 연구결과, 유행 추구형, 사교 추구형, 전통 보수 추구형, 성취 추구형, 소극적 침체형, 등 5개의 라이프스타일 유형을 도출해 내었다. 이들 군집은 화장품 브랜드 구매동기, 구매시 고려사항, 사용만족, 인구통계적 특성에서 군집간 차이점을 보이고 있었다. 예를 들어 유행 추구형 집단은 가격을 고려해서 구매하는 경향이 강했으나 사교 추구형 집단은 주위사람들의 조언에 의해 제품을 구매하는 경우가 많았다. 전통 보수 추구형 집단은 소득이 높은 소비자들로 본인사용경험에 의해서 화장품을 많이 구매하였으나 성취 추구형 집단은 제품의 기능에 의해 좌우되는 것으로 나타났다.

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