• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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• pp.510-514
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• 2004

Recommender systems are a personalized information filtering technology to help customers find the products they would like to purchase. Collaborative filtering is known to be the most successful recommendation technology, but its widespread use has exposed some problems such as sparsity and scalability in the e-business environment. In this paper, we propose a recommendation methodology based on Web usage mining and product taxonomy to enhance the recommendation quality and the system performance of original CF-based recommender systems. Web usage mining populates the rating database by tracking customers' shopping behaviors on the Web, so leading to better quality recommendations. The product taxonomy is used to improve the performance of searching for nearest neighbors through dimensionality reduction of the rating database. Several experiments on real e-commerce data show that the proposed methodology provides higher quality recommendations and better performance than original collaborative filtering methodology.

• 한국경영과학회지
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• 제24권2호
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• pp.81-94
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• 1999

ATM network design procedure is different from the current circuit or packet networks design procedure because of the variety of the offered services and the variability of requested bandwidth for each connection of ATM network. A number of optimization models for the link dimensioning of ATM network design have been proposed in the literature. However, most of the literature did not consider the modularity of resources allocated to a transmission path and the non-bifurcation of a VP link over the more than one TP, which are standardized in recent ITU-T Recommendations. In thIs paper, we propose a mathematical model for link dimensioning of ATM networks, based on the network synthesis method and a generalized bin-packing problem. The suggested model satisfies the constraints mentioned in the ITU-T Recommendations. We also propose efficient and practical algorithms for the suggested model. Computational experiment shows that the suggested algorithm gives efficient solutions even for moderate and large-sized networks within reasonable time.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2003년도 봄 학술발표논문집 Vol.30 No.1 (B)
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• pp.386-388
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• 2003

We are developing a web-based movie recommender system that catches and reasons with user profiles and ratings to recommend movies. In the paper, we outline the current status of our implementation with particular emphasis on the mechanisms used to provide effective recommendations. Social recommender systems collect ratings of items from many individuals and use nearest-neighbor techniques to make recommendations to a user. However, these methods only depend on the ratings and ignore other useful information. Our primary concern is to provide an approach that can recommend the movies based on not only the user ratings but also the significant amount of other information that is available about the nature of each items - such as cast list or movie genre. We experimentally evaluate our approach and compare them to conventional social filtering, which suggests merits to our approach.

• 디지털융복합연구
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• 제6권2호
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• pp.1-12
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• 2008

The spectrum usage fee has been imposed on spectrum users. The objective of the fee is spectrum management, so it is important to utilize it efficiently. Our study focused on how to efficiently utilize the spectrum usage fee. For this purpose it tried to found what the preconditions are for the efficient utilization, and analyzed current execution. The study showed that it did not comply with those preconditions, and produced policy recommendations. The authors expect that policy recommendations this study brought up will contribute to improve the policy process how to collect and use the spectrum usage fee.

• 한국도서관정보학회지
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• 제33권3호
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• pp.173-192
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• 2002

이 연구의 목적은 현재 대학도서관 자동화의 문제점을 점검하고 문제의 원인을 분석하여 개선방안을 모색해 보는 데 있다. 자동화의 문제점으로 파악된 것은 자동화에 대한 일관성 없는 정책 결정, 장기적이고 체계적인 계획의 부재, 유능하고 자격을 갖춘 전문인력의 부재, 시스템적인 결함, 소프트웨어 선택의 제약, 도서관네트웍의 영향, 시스템 사용도서관들의 상호협조 부족, 이용자배려의 부족으로 요약된다. 이러한 문제를 개선하기 위해서는 인력자원의 변화, 도서관업무의 개선, 문서화와 지식경영, 팀워크의 구성, 시스템개발의 지원을 제안하였다. 이 연구는 도서관자동화에 대한 체계적인 접근을 하는 근거자료가 될 것이다.

• 한국주거학회논문집
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• 제14권3호
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• pp.41-49
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• 2003

An evaluation of the environments in the wandering pathway of the dementia units was carried out. It is revealed that the quality of the environment for the wandering pathway of the sample units was very low. In particular, lacks of social environments in Unit-B and Unit-C, and lacks of orientation aids in all the sample units were shown. Therefore, re-design for the wandering pathway of the sample units is needed. Recommendations for improving the wandering pathway and having appropriate wandering pathway without any abrupt change in existing layout of the sample units were suggested, and the limits of this research is diagnosed. It is also shown that since evaluation categories used in this paper had very closed relationship each other, those evaluation categories can be used in other settings.

• 한국실내디자인학회논문집
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• 제3호
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• pp.64-70
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• 1994

The objective of this study is to provide recommendations for the interir design of motor showroom as a sales policy. ten cases of motor showrooms were selected from already observed 50 showrooms in Seoul area. findings revealed that the car industries of Korea should meet the strong needs of differentiated sales policy, and the showroom design was an important factor which influenced client's pruchasing power. From these findings and analyses, this study suggests that each brand has to represent the typical total image to appeal to the consumer strongly . Additionally each showroom should be flexible in modification to meet the diverse conditions such as the location, required function and the trend of consumers. In conclusion , researchers provided 6 types of recommendations in terms of floor plan and interior elements such as circulation path, moduled furniture and objects color and lighting variation . Hopely, this research provides more functional and comfortable environment of automobile showrooms for consumers and companies.

• 한국안전학회지
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• 제13권2호
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• pp.151-163
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• 1998

The government policy on the occupational safety and health is the fundamental factor for the effectiveness and efficiency of the accident prevention efforts. However this point of view is comparatively neglected and most of policy in occupational safety and health has not been successful enough in Korea. Thus, this study aims to reduce the accidents at work in Korea through the improvement of the decision-making process on the occupational safety and health policy in Korea. The recommendations are derived from the comparison between the policy decision-making organization and process of Korea and those of other major countries. Capitulated recommendations are: more involvement of professional individuals in the process of policy decision-making; intensive utilization of research institutes; and more openness of the process of policy decision-making to the stakeholders ie, the representatives of employees and employers.

• Environmental Engineering Research
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• 제21권4호
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• pp.355-364
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• 2016

Beijing, as a cradle of modern industry and the third largest metropolitan area in China, faces more responsibilities to adjust industrial structure and mitigate carbon emissions. The purpose of this study is aimed at predicting and comparing industrial carbon emissions of Beijing in ten scenarios under different policy focus, and then providing emission-cutting recommendations. In views of various scenarios issues, system dynamics has been applied to predict and simulate. To begin with, the model has been established following the step of causal loop diagram and stock flow diagram. This paper decomposes scenarios factors into energy structure, high energy consumption enterprises and growth rate of industrial output. The prediction and scenario simulation results shows that energy structure, carbon intensity and heavy energy consumption enterprises are key factors, and multiple factors has more significant impact on industrial carbon emissions. Hence, some recommendations about low-carbon mode of Beijing industrial carbon emission have been proposed according to simulation results.

• 지식경영연구
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• 제18권4호
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• pp.97-118
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• 2017

Thanks to the development of social media, general users become information and knowledge providers. But customers also feel difficulty to decide their purchases due to numerous information. Although recommender systems are trying to solve these information/knowledge overload problem, it may be asked whether they can honestly reflect customers' preferences. Especially, customers in book market consider contents of a book, recency, and price when they make a purchase. Therefore, in this study, we propose a methodology which can reflect these characteristics based on topic modeling and provide proper recommendations to customers in book market. Through experiments, our methodology shows higher performance than traditional collaborative filtering systems. Therefore, we expect that our book recommender system contributes the development of recommender systems studies and positively affect the customer satisfaction and management.