• Journal of Korean Society of Industrial and Systems Engineering
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• v.26 no.2
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• pp.29-34
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• 2003

With the recent trends of electronic commerce moving from B2C to B2B, Collaborative Product Commerce (CPC) is widely adopted as a part of B2B in the virtual collaborative environment. This paper proposes an integrated CPC framework supporting collaborative works between businesses by sharing product data and collaborative process between global enterprises and their customers, who are related to product life cycle, and integrating application systems in order to realize a true B2B electronic commerce. To integrate into a loosely coupled structure, various web service technologies such as XML, SOAP, WSDL and UDDI are utilized as its fundamentals and on that basis, a CPC integration framework is implemented through the Internet to support real-time operation providing interoperability among all the different applications operated on various platforms which have been developed using different languages and adopted by different companies.

• Asia pacific journal of information systems
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• v.16 no.3
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• pp.159-176
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• 2006

Collaborative filtering is one of the popular techniques for personalized recommendation in e-commerce. In collaborative filtering, user profiles are usually managed per product category in order to reduce data sparsity. Product diversification of Internet storefronts and multiple product category sales of e-commerce portals require cross-product category usage of user profiles in order to overcome the cold start problem of collaborative filtering. In this paper, we study the feasibility of cross-product category usage of user profiles, and suggest a method to improve recommendation performance of cross-product category user profiling. First, we investigate whether user profiles on a product category can be used to recommend products in other product categories. Furthermore, a way of utilizing user profiles selectively is suggested to increase recommendation performance of cross-product category user profiling. The feasibility of cross-product category user profiling and the usefulness of the proposed method are tested with real click stream data of an Internet storefront which sells multiple product categories including books, music CDs, and DVDs. The experiment results show that user profiles on a product category can be used to recommend products in other product categories. Also, the selective usage of user profiles based on correlations between subcategories of two product categories provides better performance than the whole usage of user profiles.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.227-227
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• 2004

오늘날과 같은 무한 경쟁 시대 속에서 기업은 신제품을 좋은 품질을 유지하면서 얼마나 빠르게 시장에 출시하느냐가 기업의 경쟁력을 좌우하게 되었다. 이를 위해서는 설계 단계부터 제품 생산 단계까지의 주기를 단축시켜야만 한다. 이 때 설계 단계의 비용이 가장 크며 많은 시간이 소비된다 물론, 품질에 가장 커다란 영향을 미치는 부분도 바로 설계 단계인 것은 두말할 필요가 없을 것이다. 이에 본 논문에서는 제품 개발에서 중요한 설계 단계를 CPC(Collaborative Product Commerce) 개념을 도입하여 웹에 기반을 둔 설계 지원 시스템을 구축하였다.(중략)

• Journal of Information Technology Applications and Management
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• v.11 no.1
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• pp.175-187
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• 2004

Many companies have integrated their internal processes with the aid of information technology. Now the focus is on interconnecting trading partners. Collaborative commerce (also known as c-Commerce) has a key role. It is not just about making it easier for business to communicate. It is about by breaking down barriers along the entire length of the supply chain. Some c-Commerce links are permanent, others get established when and where they are needed. c-Commerce is helping business in electronic supply chains to improve product delivery while cutting costs, to strengthen relationships and to reduce lead time. In this paper, we propose the concept of collaborative commerce, and design and implement Collaborative Commerce Portal (CCP) system of small and medium enterprise for marketing support. The technical definition of CCP is set of all technical elements can do collaborative commerce between small and medium enterprises with Internet or Internet. The target information of CCP includes usual and unusual information and all other information of companies used as process events. Through this, it enhances efficiency of business processes, core information sharing and marketing activation.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.9
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• pp.27-31
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• 2003

• 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 Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.416-425
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• 2003

Recommender systems are a personalized information filtering technology to help customers find the products they would like to purchase. Collaborative filtering (CF) has been known to be the most successful recommendation technology. However its widespread use in e-commerce has exposed two research issues, sparsity and scalability. In this paper, we propose several hybrid recommender procedures based on web usage mining, clustering techniques and collaborative filtering to address these issues. Experimental evaluation of suggested procedures on real e-commerce data shows interesting relation between characteristics of procedures and diverse situations.

• 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.

• CDE review
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• v.8 no.1
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• pp.58-65
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• 2002

Collaborative product commerce(CPC) involves many people working together with heterogeneous and distributed software applications. For such an environment, Workflow Management System(WFMS) can be useful for coordination of people, software agents and processes. It provides diverse services including automatic work muting, project management continuous process improvement and application integration. However, there are some limitations to apply WFMS to CPC environment due to inflexibility and lack of design support facilities. This paper identifies the problems and addresses possible approaches to overcome the difficulties.