• Electronics and Telecommunications Trends
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• v.19 no.3 s.87
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• pp.96-106
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• 2004

멀티미디어 기술의 발달과 기반 통신 시설의 발달에 따라 네트워크를 통한 디지털 데이터의 유통이 빈번해졌다. 하지만 이러한 네트워크를 기반으로 한 콘텐츠 시장이 활성화되기 이전에 콘텐츠가 의도된 목적과 콘텐츠에 대한 합법적이고 정당한 권리를 산 사용자에 의해서만 유통되어야 하는 메커니즘이 먼저 확고하게 놓여야 한다. 그러한 메커니즘을 위해서 최근 들어 DRM이나 디지털 워터마킹 같은 기술들이 많이 연구되고 있다. 디지털 핑거프린팅은 디지털 워터마킹 기술을 기반으로 한 새로운 형태의 멀티미디어 저작권 보호의 한 방법이다. 본 고에서는 계산량과 안전성을 개선하기 위해 연구되어 온 디지털 핑거프린팅과 판매자/구매자 워터마킹 기술에 대한 주요 연구들을 살펴본다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.1
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• pp.278-286
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• 2010

Until now, most of the studies about the impulse buying have focused mainly on the product of off-line shop, while there have relatively been very few studies about the product in internet shopping mall. The goal of this study was to understand Impulse Buying Behavior(IBB) for digital contents in the internet. Data has been collected from 278 respondents. The questionnaire method was adopted to collect the data for this study. The research was conducted by using SPSS 12.0 and AMOS 5.0. It was found that as follows: First, marketing stimulation factors, such as price, product, promotion was related positively to FLOW. Second, marketing stimulation factors was related partly positively to IBB. Third, FLOW has mediating effects in the relations between marketing stimulation factors and IBB. Finally, Self-Behavior Control and Sensation Seeking Tendancy has moderating effect in the IBB process. Thus, It also provides a core strategic Implication with Digital Contents Marketers.

• Proceedings of the Korea Society for Simulation Conference
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• 2005.11a
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• pp.56-62
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• 2005

추천자 시스템은 E-commerce 사이트에서 소비자가 관심을 가지는 상품에 대한 정보를 수집하여 소비자가 구매할 것으로 예상되는 상품을 추천하는 목적으로 개발되었다. 추천자 시스템을 구축하여 성공적으로 활용하기 위해서 해결해야 할 과제로 취급 상품이 대량인 경우에 알고리즘의 효율성 문제라고 볼 수 있는데 본 연구는 문서 검색에서 사용되는 LSI(latent semantic indexing) 분석법을 이용하여 추천자 시스템을 개선하는 방안을 연구하고자 한다. LSI 분석법을 이용하여 고객-상품 구매행렬에서 고객이 상품을 구매하는 경향을 효과적으로 파악할 수 있다면 목표고객에 대한 인접고객군을 생성하는 계산 노력은 현저히 감소되어 추천자 알고리즘이 실시간으로 고객 데이터베이스로부터 많은 인접 고객을 효율적으로 검색할 수 있을 것으로 기대된다. 본 연구는 E-commerce 사이트로부터 얻는 실제적인 고객 자료와 유사한 자료를 시뮬레이션을 통하여 재생하고 이를 바탕으로 LSI에 의한 추천자 시스템의 효율성을 분석하고자 한다.

• The Korea Swine Journal
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• v.24 no.1 s.269
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• pp.197-199
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• 2002

• 베이커리
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• no.3 s.320
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• pp.144-145
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• 1995

• Journal of Intelligence and Information Systems
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• v.7 no.1
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• pp.149-159
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• 2001

There have been lots of researches for providing a personalized service to a customer using one-to-one marketing and collaborative filtering techniques in E-Commerce. However, there are technical difficulties for providing the recommendation of products far users, which often involve high complexity of computation. In this paper, we have presented an integrated method of classification problem solving method and constraint based configuration techniques. This method can reduce a complexity of computation by classifying a solution domain space that has a higher complexity of composition. Thereafter, we have modeled customers constraints and the components of products to configure a complete system by passing it to constraint processing module in Constraint Satisfaction Problems. Constraint-based configuration uses the constraint propagation using the constraints of buyers and the constraints among PC components to configure a proper product for a customer. We have transformed and applied vector space modeling method in the field of information retrieval to consider a customer satisfaction in addition to the CSP. Finally, we have applied our system to test data fur evaluating a customers satisfaction and performance of the proposed system.

• The KIPS Transactions:PartD
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• v.10D no.5
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• pp.821-828
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• 2003

Package software should have the feature that enables purchasers to discriminate a product suitable for them among a number of software belonging to the similar kind of product. Purchaser's ability to choose a package software depends on whether they can judge that a package software conforms to the relevant standard through an objective quality test process and method or not. There are the standards that can be applicable to the quality evaluation of package software, such as and . This study developed a system with which purchasers can effectively select a package software suitable for their needs, building quality test process for package software and developing test metric and application method.

• 한국벤처창업학회:학술대회논문집
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• 2007.11a
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• pp.291-325
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• 2007

• Korean Business Review
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• v.16
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• pp.1-21
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• 2003

Trust affects marketing practices and purchasing performance in the context of buying and selling business services. Despite the importance the previous studies on business services have not fully investigated the role of trust and the effects of trust on buying and selling strategies. Additionally in-depth studies exploring the links between trust-strategies-performance have not systematically performed both in domestic and international markets. This study, in the context of purchasing business services, investigates the effect on trust of suppliers' characteristics and relational characteristics between sellers and buyers. This study also explores the effect of trust toward sellers and buyers on purchasing performance. The results of this study should contribute the understanding on the role of trust in purchasing and selling business services. Building and maintaining trust must be one of the major key success factors in the relationship between sellers and buyers of business servies.

• The KIPS Transactions:PartD
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• v.11D no.3
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• pp.731-740
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• 2004

In this paper we propose a fast negotiation agent system that guarantees the reciprocity of the attendants in a bilateral negotiation on the e-commerce. The proposednegotiation agent system exploits the incremental learning method based on an artificial neural network in generating a counter-offer and is trained by the previous offer that has been rejected by the other party. During a negotiation, the software agents on behalf of a buyer and a seller negotiate each other by considering the multi-attributes of a product. The experimental results show that the proposed negotiation system achieves better agreements than other negotiation agent systems that are operated under the realistic and practical environment. Furthermore, the proposed system carries out negotiations about twenty times faster than the previous negotiation systems on the average.