• 패션비즈니스
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• 제26권4호
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• pp.123-135
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• 2022

In Korea, business guidelines for nurturing professional manpower in the cosmetic industry are insufficient despite the implementation of legislation and certification system for customized cosmetics. Therefore, in this study, guideline design for customized cosmetics businesses was studied. As a research method, literature on domestic and foreign market conditions and cases of each business type of the customized cosmetics market were analyzed. In addition, a focus group interview was conducted on the guidelines by creating a group of professionals and employees in the customized cosmetics industry. As a result, it was found that the guidelines for individual business owners of customized cosmetics were institutionalized into 4 types, and essential information needed for introduction of the customized cosmetics into the market and information needed for general practice should be provided. It is expected that this study will be developed as a guideline that can guide the growth of the cosmetic industry and the vitalization of the customized cosmetics business in the future.

• 한국콘텐츠학회논문지
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• 제10권12호
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• pp.457-465
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• 2010

맞춤형 정보 분석 시스템이란 정형화 되어 있지 않은 자연어 텍스트에서 유용한 정보를 추출하고 고객이 요구하는 맞춤형 정보로 가공하여, 미래를 예측하거나 추론하는데 도움을 주는 시스템을 말한다. 이러한 정보 분석 시스템을 구현하기 위해서는 자연어를 분석하는 자연어 처리 기술과 텍스트에서 필요한 개체와 그것들의 관계를 찾아내는 정보 추출 기술, 추출한 데이터로부터 알려지지 않은 새로운 정보를 찾아 내는 데이터 마이닝 기술이 필요하다. 본 논문에서는 국방 기사 데이터를 대상으로 맞춤형 정보 분석을 수행하는 가상의 시스템을 제안하고, 정보 분석을 위한 기반 기술들을 소개한다.

• Journal of Information Technology Applications and Management
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• 제26권1호
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• pp.39-51
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• 2019

As data grows rapidly, the provision of appropriate information needed by individuals has become an area of new services, and customized services which is enabling the analysis of optimal services through collecting, storing, and analyzing personal data are emerging in many fields. However, due to the characteristics of customized services based on various information collected by customers during the use of the service, the problem of privacy infringement is raised at the same time, and many studies are being actively conducted to solve this problem. This study seeks to explore how the customer's in-depth and customized services has an impact on their customers, which has not been derived from quantitative research using the grounded theory methodology. Through this, 84 concepts, 33 subcategories, 13 Categories and paradigm models were derived. In addition, 'Understanding and acceptance of online behavioral advertising (OBA)' was derived as a core category, and finally, acceptance types of OBA were classified into 'positive acceptance type', 'indifferent type', 'calculating type', and 'active resistance type' based on the key categories. This study divides the acceptance types of online behavioral advertising through the emotions and behaviors of the consumers throughout the procedure of online behavioral advertising experiences. In addition to the statistical and quantitative information currently used for providing behavioral advertising, it provides new criteria to reflect the refinement of behavioral advertising and personal tendencies or characteristics.

• 대한산업공학회지
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• 제39권2호
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• pp.119-128
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• 2013

Most internet users utilize internet portal search engines, such as Naver, Daum and Google nowadays. But since the results of internet portal search engines are based on universal criteria (e.g. search frequency by region or country), they do not consider personal interests. Namely, current search engines do not provide exact search results for homonym or polysemy because they try to serve universal users. In order to solve this problem, this research determines keyword importance and weight value for each individual search characteristics by collecting and analyzing customized keyword at external database. The customized keyword weight values are integrated with search engine results (e.g. PageRank), and the search ranks are rearranged. Using 50 web pages of Goolge search results for experiment and 6 web pages for customized keyword collection, the new customized search results are proved to be 90% match. Our personalization approach is not the way that users enter preference directly, but the way that system automatically collects and analyzes personal information and then reflects them for customized search results.

• 한국멀티미디어학회논문지
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• 제20권2호
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• pp.322-329
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• 2017

Recently, the importance of personalized healthcare(wellness) services is increasing in the era of the 4th Industrial Revolution. However, the authoring of wellness contents fused with variety of contents and the study of the system which provides the customized recommendation are insufficient. In this paper, we proposes the recommendation service system for the customized convergence wellness contents. The proposed system makes to the wellness contents by the existing cultural/tourism/leisure contents and recommends the customized wellness contents based on a user's profile and the situation information such as location and weather. The proposed systems is expected to contribute to designing the innovative and new service models for the tailored wellness content.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.131-142
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• 2021

Recently, there has been an active service that provides customized news to news subscribers. In this study, we intend to design a customized news service system through Deep Learning-based Social Network Service (SNS) activity analysis, applying real news and avoiding fake news. In other words, the core of this study is the study of delivery methods and delivery devices to provide customized news services based on analysis of users, SNS activities. First of all, this research method consists of a total of five steps. In the first stage, social network service site access records are received from user terminals, and in the second stage, SNS sites are searched based on SNS site access records received to obtain user profile information and user SNS activity information. In step 3, the user's propensity is analyzed based on user profile information and SNS activity information, and in step 4, user-tailored news is selected through news search based on user propensity analysis results. Finally, in step 5, custom news is sent to the user terminal. This study will be of great help to news service providers to increase the number of news subscribers.

• 한국문헌정보학회지
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• 제49권2호
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• pp.75-109
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• 2015

본 연구에서는 정책정보 이용자의 수요 및 요구조사와 맞춤형서비스 사례분석을 기반으로 이용자맞춤형정책정보서비스 모형을 개발하고자 하였다. 이를 위해 이용자맞춤형서비스 관련 문헌분석, 사례조사, 그리고 정책정보 수요자들을 대상으로 한 설문조사를 수행하였다. 이를 기반으로 본 연구에서는 이용자맞춤형정책정보서비스가 제공해야 할 세부적인 서비스를 정보검색 및 자료제공서비스, 참고정보서비스, 정책정보 네트워크 서비스, 도서관 마케팅서비스, 개인화서비스 등으로 제안하였다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.525-532
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• 2022

Accidents at construction sites in Korea account for more than half of all industrial accidents. To solve this problem, a policy to strengthen safety education was implemented to ensure the safety of workers. However, it was analyzed that there is a high possibility of accidents because workers did not receive proper safety information for each risk factor due to general lecture-style education. In addition, statistics show that the accident status of workers with fewer years of period is high, indicating that a customized information delivery method needs to be proposed for unskilled workers with fewer years of period. Research on the importance of education has been conducted, but no information delivery method has been identified. For unskilled workers to effectively receive safety information, appropriate delivery formats (text, photos, illustrations, 4D-BIM, 360-based panorama, video, animation) were analyzed, and a new method of education was proposed. If customized safety information is provided according to this proposal, effective information delivery to unskilled workers will be possible, and it is expected to be verified in various ways.

• Journal of Multimedia Information System
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• 제4권3호
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• pp.145-150
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• 2017

Recently, game companies are having difficulties in exactly figuring out the right consumer groups for their games. To solve this problem, a system algorithm which recommends user-customized games based on the user information entered has been proposed in this study. Game developers will be able to clearly determine the consumer group(s) of both on and off-line games through accumulated data while consumers can find the game they desire. It is expected that the gaming culture will advance further with the proposed algorithm.

• 정보교육학회논문지
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• 제15권1호
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• pp.155-162
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• 2011

현실에서 경험하거나 당면하고 있는 실제적인 문제를 해결할 때 학습자는 학습의 의미를 느끼며 학습의 효과도 기대할 수 있다. 따라서 초등학교에서 일어날 수 있는 정보통신윤리교육 지도 상황에 따라 교사에게 필요한 자료들을 웹 상에서 제공하는 맞춤형 정보통신윤리교육 지원시스템을 개발하였다. 개발한 시스템에서는 정보통신윤리교육의 방법과 자료 및 그 활용 방법을 제공하고 있다. 시스템은 주제별로 맞춤형 자료를 제공함으로써 실제 상황에 적절한 정보통신윤리교육을 실시하는데 도움이 되었다. 또한 주제와 지원하는 자료의 적합 정도를 알려주어 다음 사용자가 자료를 선택하는데 도움이 되었으며, 교사의 지도 자료검색에 대한 부담을 덜어 주었다.