• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.197-206
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• 2012

A exisiting recommedation system using association rules has the problem, such as delay of processing speed from a cause of frequent scanning a large data, scalability and accuracy as well. In this paper, using a Implicit method which is not used user's profile for rating, we propose the personalized recommendation system which is a new method using the FP-tree mining based on RFM. It is necessary for us to keep the analysis of RFM method and FP-tree mining to be able to reflect attributes of customers and items based on the whole customers' data and purchased data in order to find the items with high purchasability. The proposed makes frequent items and creates association rule by using the FP-tree mining based on RFM without occurrence of candidate set. We can recommend the items with efficiency, are used to generate the recommendable item according to the basic threshold for association rules with support, confidence and lift. To estimate the performance, the proposed system is compared with existing system. As a result, it can be improved and evaluated according to the criteria of logicality through the experiment with dataset, collected in a cosmetic internet shopping mall.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.23 no.1
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• pp.75-132
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• 1997

피부는 항시 산소와 접촉하고 있고 자오선 조사에 크게 노출되어 있다. 따라서, 활성산소종으로 유도된 피부의 광산화적 손상 위험이 실질적으로 증가하고 있다. 활성산소종이란 한 무리로서 수퍼옥사이드 음이온과 히드록실 라디칼과 같은 산소 중심의 라디칼을 포함할 뿐만 아니라, 과산화수소나 싱글렛 옥시전과 같은 몇 종류의 비라디칼종들, 그 외의 다른 것으로, 활성산소종과 생체 성분과의 반응으로 유래된 과산화 라디칼, 알콕실 라디칼, 히드로과산화물 식세포에서 살균작용을 나타내는 HOCl등을 포함한다. 피부에는 복잡한 항산화 방어망이 발달되어 활성산소종에 대항하여 보호작용을 한다. SOD, 카탈라아제, 글루타치온퍼옥시다제 등의 항산화효소와 $\alpha$-토코페롤, 아스코르브산, 카로티노이드 등의 비효소적 항산화 물질들이 피부 항산화 방어망을 구축하고 있다. 그러나 계속된 자외선에의 노출로 생성된 과잉의 활성산소종은 실질직으로 피부의 효소적 그리고 비효소적 항산화 방어를 위태롭게 한다. 따라서 균형은 산화상태 쪽으로 유리하게 기울어진다 결과적으로 산화적 스트레스는 세포 성분들에 대한 손상을 야기시킨다. 지질 과산화, 단백질 산화, 탄력 섬유인 콜라겐과 엘라스틴의 사슬절단 밀 비장성적인 교차결합, 히아루론산 사슬의 절단, 멜라닌 생성반응 촉진, DNA 산화와 같은 생체 구성 성분들의 손상이 일어난다. 결국에는 탄력감소, 주름살 및 기미, 주근깨 등으로 특징 지워지는 피부노화가 가속화된다. 따라서 필요한 항상화제를 함유한 식품이나 화장품을 통한 계속적인 항산화제 보충으로 피부 항산화 방어망을 견고히 할 때 피부노화는 지연되고 억제될 것이다.주거를 구분하고 있는 것으로 조사되었으나, 아직까지 절반 가량(52.2%)의 상점들이 다른 사람 소유의 건물을 전 ·월세로 임대하여 사용하고 있음을 알 수 있었다. 이상에서 살펴본 바와 같이 고수동굴 주변의 상업적 특성은 90년대에 들어서면서 자기 고장에 있는 관광자원을 내 고향의 자랑거리로 생각하고 이를 지역발전의 밑거름으로 활용하고자 하는 인식이 늘어나고 있음을 알 수 있었다. 그러나, 관광지로서의 특성이라 할 수 있는 다른 관광동굴과의 차별성이 부족하다고 할 수 있다. 즉 다른 지역의 기념품점에서 구입할 수 없는 고수동굴만이 갖고 있는 특징적인 기념품을 판매함으로써 관광객의 구매욕구를 높인다거나 고수동굴의 일주관광 후 관광객을 좀 더 머무르게 할 수 있는 시설의 개발이 더 필요하다.유의한 차이를 나타내는 항목이 많았으며 12주에서 vehicle과 유의적인 차이를 나타내는 항목도 많으므로 3-APPA가 APSA 보다 광범위한 피부노화 억제 효과를 갖는 물질이라고 할 수 있다.주도적 역할을 수행해야 할 것이다. 넷째, 선박금융제도의 개선과 신금융상품의 개발이 요구된다. 내수 수요인 계획조선의 지원조건을 개선하고 연불수출자금을 BBC자금으로 활용토록하여 국내 선주들의 신조를 유도해야 할 것이다. 그 외에 향후 금융개방화에 맞추어 해외자금을 활용한 리스금융, 상사금융 등의 민간신용제도를 더욱 활성화하고 선진국의 선박금융기법에 대한 연구 및 도입 등 선주들에게 다양한 선박건조자금을 제공하여 내수기반 확충에도 노력해야 할 것 이다.있었다., 인삼이 성장될 때 부분적인 영양상태의 불충분이나 기후 등에 따른 영향을 받을 수 있기 때문에 앞으로 이에 대한 많은 연구가

• Journal of the Korean Home Economics Association
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• v.38 no.6
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• pp.59-70
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• 2000

The purposes of this study were to investigate the effects of the degree self-monitoring, perceived risk and the types of advertising in cosmetic purchase behavior. The data were obtained with an experimental design which was 2${\times}$(2${\times}$2) mixed factorial design. The subjects were classified 280 pre-test subjects into 70 high level of self-monitoring subjects and 70 low level of self-monitoring subjects. The data were analysed with ANOVA, using the SAS program. The result of this study can be summarized as follows ; In experimental I, the effect on the consumer preference was the significant 2-way interaction effects between the degree of the self-monitoring and appeal types of advertising as well as between the types of cosmetic products depending on perceived risk and appeal types of advertising. In experimental II, the effect on the consumer purchase intention was the significant 2-way interaction effects between the degree of the self-monitoring and appeal types of advertising as well as between the types of cosmetic products depending on perceived risk and appeal types of advertising.

• The Korean Journal of Community Living Science
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• v.26 no.1
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• pp.145-154
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• 2015

This study examines the effects of evaluation criteria for natural cosmetics on purchase and word-of-mouth intentions according to the LOHAS class. A survey was conducted from Feb. 2 to 17, 2013 and a total of 410 responses were analyzed using SPSS 18.0. The results of this study are described below. First, evaluation criteria for natural cosmetics had four dimensions - practical, aesthetic, promotional, and social criteria. Second, for the upper LOHAS class, all four dimensions of evaluation criteria for natural cosmetics were important relative to the middle and lower classes. Third, for the upper and middle LOHAS classes, purchase intentions were influenced by practical criteria. However, evaluation criteria had no effect for the lower LOHAS class. Fourth, the upper LOHAS class considered practical criteria, the middle LOHAS class considered practical and social criteria, and the lower LOHAS class considered aesthetic criteria, As a result, word-of-mouth intentions were influenced by evaluation criteria for natural cosmetics.

• Fashion & Textile Research Journal
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• v.10 no.2
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• pp.155-163
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• 2008

The college students selected by random sampling were classified into several groups by their cosmetic impulse buying pattern and the internal characteristics that cause them. Their shopping orientation, life styles, makeup self-confidence, makeup interest and self-image were the subjects of comparative analysis. The results of this research can be summarized as follows.; fashion leader was classified fashion dual leader, fashion opinion leader, fashion innovator and fashion follower. The fashion dual leader and fashion innovator were more impulse buying orientated. The fashion dual leader and fashion innovator were highly evaluated in intellectual self faithfulness and life decoration preference style. The fashion dual leader and fashion innovator attached great importance to leisure pursuit and name brand preferring shopping. They showed the tendencies to the makeup self-confidence and makeup interest. But the fashion follower showed quite different tendencies. The fashion dual leader and fashion innovator perceived themselves as varied life style. These internal characteristics were supposed to contribute to their impulse buying.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.11
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• pp.1593-1604
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• 2002

The purpose of the study were to find how the trend had an effect on a buying motivation, a selecting standard, a frequency of use, a purchase place of cosmetics, makeup and the distinctive quality of social strata of regarding a clothing shopping orientation. The subjects of investigation were the women in twenties who live in Seoul and Chonnam province. This study had been done from May to July 2001, and 660 questionnaires were used for analysis. The measuring tools used were the items of matters of preceding studies and developed ones by researchers on which questionnaires were prepared. Factor and cluster analysis and Duncan's multiple range test, ANOVA, x$^2$-test, frequency, and percentage as analysis methods were used through SPSS. The results of the study were as follows. The clothing shopping orientation divided five shopping orientations such as ostentatious style, enjoyable style, economical style, and prudent style, and an attachment style for special brands and shops. On the basis of this result, the groups 20's females were classified into low groups by the cluster analysis; economical shopping group, indifferent shopping group, conspicuous shopping group, and recreational shopping group. In the case of cosmetics purchasing motives, evaluation criteria of cosmetics, stores selection criteria were found according to shopping orientation subdivision, and there was the significant difference between the groups in frequency of use, a purchase place of cosmetics.

• Journal of the Korea Safety Management & Science
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• v.13 no.1
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• pp.151-160
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• 2011

Cosmetic industry is a typical industry for domestic demand and is closely connected with domestic demand growth. In 2006, domestic cosmetics market is showing high growth rate due to the recovery of domestic demand and the market reorganization of sales channels is proceeding rapidly due to the recent global economic slowdown, Due to the situation, many companies are launching low-priced brand shop. The purpose of this study was to clarify the impact of marketing strategy of cosmetic brand-shop on consumers' purchasing intention. As the result of analyses, it was found that product, place, promotion factors of cosmetic brand-shop affect brand image. Also only product factor affects corporate image, perceived quality. And using regression analysis between brand image, corporate image, perceived quality and customer behaviors. Brand image and perceived quality factors influence consumers purchasing intention. Brand image has a positive impact on corporate image. And corporate image affects the perceived quality.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.321-326
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• 2020

본 연구에서는 한국어 감성분석 성능 향상을 위한 DECO(Dictionnaire Electronique du COreen) 한국어 전자사전과 LGG(Local-Grammar Graph) 패턴문법 기술 프레임에 의존파서 및 LSTM을 적용하는 하이브리드 방법론을 제안하였다. 본 연구에 사용된 DECO-LGG 언어자원을 소개하고, 이에 기반하여 의미 정보를 의존파서(D-PARS)와 페어링하는 한편 OOV(Out Of Vocabulary)의 문제를 LSTM을 통해 해결하여 자질기반 감성분석 결과를 제시하였다. 부트스트랩 방식으로 반복 확장될 수 있는 LGG 언어자원 및 알고리즘을 통해 수행되는 자질기반 감성분석 프로세스는 전용 플랫폼 DecoFESA를 통해 그 범용성을 확장하였다. 실험을 위해서 네이버 쇼핑몰의 '화장품 구매 후기글'을 크롤링하였으며, DecoFESA 플랫폼을 통해 현재 구축된 DECO-LGG 언어자원 기반의 감성분석 성능을 평가하였다. 이를 통해 대용량 언어자원의 구축과 이를 활용하기 위한 어휘 시퀀스 처리 알고리즘의 구현이 보다 정확한 자질기반 감성분석 결과를 제공할 수 있음을 확인하였다.

• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.193-200
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• 2014

Due to the advent of ubiquitous computing environment, it is becoming a part of our common life style. And tremendous information is cumulated rapidly. In these trends, it is becoming a very important technology to find out exact information in a large data to present users. Collaborative filtering is the method based on other users' preferences, can not only reflect exact attributes of user but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. In this paper, we propose clustering method by user's features based on SOM for predicting purchase pattern in u-Commerce. it is necessary for us to make the cluster with similarity by user's features to be able to reflect attributes of the customer information in order to find the items with same propensity in the cluster rapidly. The proposed makes the task of clustering to apply the variable of featured vector for the user's information and RFM factors based on purchase history data. To verify improved performance of proposing system, we make experiments with dataset collected in a cosmetic internet shopping mall.

• The Journal of Society for e-Business Studies
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• v.25 no.4
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• pp.33-60
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• 2020

Along with the rapid advance in internet technologies, ubiquitous mobile device usage has enabled consumers to access real-time information and increased interaction with others through various social media. Consumers can now get information more easily when making purchase decisions, and these changes are affecting the brand landscape. In a digitally connected world, brand image is not communicated to the consumers one-sidedly. Rather, with consumers' growing influence, it is a result of co-creation where consumers have an active role in building brand image. This explains a reality where people no longer purchase products just because they know the brand or because it is a famous brand. However, there has been little discussion on the matter, and many practitioners still rely on the traditional measures of brand indicators. The goal of this research is to present the limitations of traditional definition and measurement of brand and brand image, and propose a more direct and adequate measure that reflects the nature of a connected world. Inspired by the proverb, "A man is known by the company he keeps," the proposed measurement offers insight to the position of brand (or brand image) through co-purchased product networks. This paper suggests a framework of network analysis that clusters brands of cosmetics by the frequency of other products purchased together. This is done by analyzing product networks of a brand extracted from actual purchase data on Amazon.com. This is a more direct approach, compared to past measures where consumers' intention or cognitive aspects are examined through survey. The practical implication is that our research attempts to close the gap between brand indicators and actual purchase behavior. From a theoretical standpoint, this paper extends the traditional conceptualization of brand image to a network perspective that reflects the nature of a digitally connected society.