• Journal of Information Technology Applications and Management
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• v.20 no.3_spc
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• pp.219-230
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• 2013

Real time accessiblity and agility in Ubiquitous-commerce is required under ubiquitous computing environment. The Research has been actively processed in e-commerce so as to improve the accuracy of recommendation. Existing Collaborative filtering (CF) can not reflect contents of the items and has the problem of the process of selection in the neighborhood user group and the problems of sparsity and scalability as well. Although a system has been practically used to improve these defects, it still does not reflect attributes of the item. In this paper, to solve this problem, We can use a implicit method which is used by customer's data and purchase history data. We propose a new clustering method of weighted preference for customer using k-means clustering and Bayesian network in order to improve the accuracy of recommendation. To verify improved performance of the proposed system, we make experiments with dataset collected in a cosmetic internet shopping mall.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.39-43
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• 2004

A research shows that a new category of software, Collaborative Product Commerce (CPC), is now emerging, allowing discrete manufacturers to once again distinguish themselves on their products and innovations. CPC permits discrete manufacturers to significantly improve the core processes around the management functions associated with the complete product life cycle that are the basis of their existence. As a way to develop computing tools of CPC to support a design process of product, a web-based design supporting system was constructed in the paper. The system consists of C-Product system and Net Meeting Communication system to improve communications between designers and persons for verification of design. The product data files of C-Product system were designed by Pro/Engineer and converted to 3D Viewer format for being used in the web browser. Also, Net Meeting Communication system and Database were developed using ASP and Microsoft SQL 2000 Server to share diverse files that can be utilized to design on the web in real time.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.332-339
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• 2005

We developed a similar product recommendation system for implementing a collaborative commerce model between the cooperating companies. The system is based on a similar product finding algorithm. The main idea of the proposed algorithm is using a multi-attribute decision making(MADM) to find the utility values of products in same product class of the companies. Based on the values we determine what products are similar. The system helps the companies to recommend products in accordance with the customer's preferences regarding product specifications.

• International Commerce and Information Review
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• v.7 no.2
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• pp.115-137
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• 2005

E-trade is important that SMEs can do international business with activity. However, SMEs are facing psychological and economic barriers to e-trade. Therefore, SMEs depend on intermediaries for e-trading. In this context, APEC carried out the APEC Global B2B Interoperability Project to promote e-trade and increase benefits for member countries from 2002 to 2004. Especially this project emphasizes a collaboration with e-marketplaces. It has significance in that it is a new model to help SMEs do international trade. This study analyzes the APEC project in terms of technology and business and evaluates the project as a collaborative business model.

• International Commerce and Information Review
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• v.7 no.2
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• pp.205-216
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• 2005

The ever-expanding Chinese economy has affected the Korean economy in many respects. So many companies, including most of major groups, has increased their economic collaborative businesses in China. Due to the sandwich situation of the economic competitiveness, many Korean companies has been seeking for the lower production costs in China, while other high-tech companies also for the prospective markets in China. Nonetheless all the Korean FDIs in China have been seriously connected with its global supply chain management. In order to promote this kind of collaboration across the border, the 4PL kind of tasks are needed. The study suggests these tasks in terms of 3 categories of Pre-Feasibility/ Business Planning, Cultural Localization, and Networking Economies/ Relationship Management. Most of all, the collaboration across the border may promote the final vision of the FTA in the Far-east Asian countries.

• Korean Journal of Computational Design and Engineering
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• v.8 no.4
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• pp.201-211
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• 2003

Collaborative product commerce (CPC) is a newly emerging technology to support inter-enterprise collaboration through the product life-cycle. From the IT point of view, CPC is software technology to integrate product, process and resources of different enterprises using Web technologies. In this paper, we introduce a CPC framework for integrating product information across enterprises, which being developed as a part of the CPC project by ETRI. The product metadata represented by XML schema, which is compatible with ISO STEP PDM Schema standard, is presented to semantically and schematically integrate distributed product information. The web services technologies are discussed to support the interoperability of application systems related to the product development, such as CAD and PDM, where most of these applications run in a distributed environment. Finally, we implement the frame-work to integrate distributed product information.

• Proceedings of the KSME Conference
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• 2003.11a
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• pp.1840-1845
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• 2003

Collaborative product commerce (CPC) supports a collaboration that a global enterprise and customer related to life cycle of product share product information and a collaboration process for the collaboration, and integrating applications. In this paper, we use common data schema in order to solve a interoperability problem about shared product information between enterprises. And we map to common data schema from each other different data format. Therefore we implement CPC Adaptor in order to integrate distributed product information.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.5
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• pp.648-653
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• 2004

Collaborative product commerce (CPC) supports a collaboration that a global enterprise and customer related to lift cycle of product share product information and a collaboration process for the collaboration, and integrating applications. In this paper, we use common data schema in order to solve a interoperability problem about shared product information between enterprises. And we map to common data schema from each other different data format. Therefore we implement CPC Adaptor in order to integrate distributed product information.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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• pp.353-367
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• 2003

본 연구에서는 중소기업들이 중견기업으로 성장할 때까지 필요로 하는 경영, 자금, 기술, 마케팅, 물류 등 Total Solution 차원의 중소기업지원시스템 중 마케팅ㆍ유통과 관련 협력상거래(collaborative commerce)라는 개념을 도입하여 오프라인과 온라인이 결합되어 대전ㆍ충남 중소기업간의 협력, 제휴를 지원하고, 나아가 대기업, 학계, 벤처캐피탈들이 참여하여 교류할 수 있는 정보공유와 만남의 장을 제공함으로써, 협력상거래 포탈 사이트를 구축하기 위한 이론적 모형을 제시ㆍ구축하고자 한다. 협력상거래 포탈의 기술적 정의는 중소기업간에 인터넷을 통하여 마케팅ㆍ유통과 관련한 기업핵심정보와 비즈니스 프로세스를 공유함으로써 효율적인 협업 전자상거래를 가능하게 하는 모든 기술적 요소의 집합이라 할 수 있다. 협력상거래 포탈의 협업적 프레임워크 기능 요구사항은 \circled1Integration of product ＆ process information, \circled2Extensibility and flexibility of framework, \circled3Platform independence, \circled4Interdependence and modularity of services, \circled5Interoperability among services, \circled6Accessibility of legacy system(ERP, SCM, CRM) 등이다.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.223-241
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• 2005

In spite of the rapid growth of mobile multimedia contents market, most of the customers experience inconvenience, lengthy search processes and frustration in searching for the specific multimedia contents they want. These difficulties are attributable to the current mobile Internet service method based on inefficient sequential search. To overcome these difficulties, this paper proposes a MOBIIe COntents Recommender System for Movie(MOBICORS-Movie), which is designed to reduce customers' search efforts in finding desired movies on the mobile Internet. MOBICORS-Movie consists of three agents: CF(Collaborative Filtering), CBIR(Content-Based Information Retrieval) and RF(Relevance Feedback). These agents collaborate each other to support a customer in finding a desired movie by generating personalized recommendations of movies. To verify the performance of MOBICORS-Movie, the simulation-based experiments were conducted. The results from this experiments show that MOBICORS-Movie significantly reduces the customer's search effort and can be a realistic solution for movie recommendation in the mobile Internet environment.