• 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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• 2002.10a
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• pp.89-92
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• 2002

As the use of Internet being generalized, ordering system can be easily achieved on the Web so that the direct sailing system is replaced the various types of Built-To-Order system. It is important to give the up-to-date information to the end-user in order to build the Built-To-Order system. Recently, the way of providing information is updating the product related information continuously. In this study, we provide the method that can be streamlined Product Data Management System which manages a creation and update for product information into the direct BTO system in order to achieve the newest information. This methodology is not only transferring the information but also processing the information in an appropriate form. So this paper is going to cover the various point of view of information processing.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.11
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• pp.1369-1380
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• 2005

This study suggests a strategy of providing apparel product information from the wearers' perspective on Internet shopping malls, as a way of compensating for the lack of opportunities to try on the actual product. On an actual Internet shopping mall that sells apparel product, the 'trial-experience information' (the experiential information provided by the fit models who tried on the products) was provided for 83 different items from four women's wear brands. The traffic and sales performances (number of visitors, page view, gross sales of goods, conversion rate, and the numbers of customer transactions) of the apparel product websites that contain trial-experience information were compared to the performances of the brand's websites before this information was implemented. The changes in percent contribution of these brands in women's wear category were also noted. The specific results are as follows: First, all the four performance measures as well as the percent contribution of the experiment products in women's wear category increased noticeably throughout the experiment period (11 to $103\%$). Second, when the percent contribution of these brands in women's wear category in terms of traffic and sales performances were compared to the previous year, these measures increased between $497\%\;and\;2851\%$. Third, the amount of customer transactions also increased after the trial-information was provided, yet to a relatively smaller extent $(29.04\%\;to\;55.25\%)$. The findings showed that trial-experience information provided on the Internet shopping malls may reduce customers' risk perception and lead to increased sales of apparel product and improve the site use ratio.

• Proceedings of the CALSEC Conference
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• 2001.02a
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• pp.499-520
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• 2001

◈ B2B e-commerce is set to grow significantly in the next 5 years ◈ There is a growing trend towards leveraging the information asset to win new business in the Maintenance, Repair and Overhaul (MRO) market ◈ After-market service is forecast to be a significant element of the B2B market ◈ Existing standards do not fully address the product support requirement ◈ PLCS standards will allow support information to be aligned with the changing product over its entire life cycle ◈ Adoption of PLCS standard will lead to reduced operating costs and increased product availability.(omitted)

• Journal of Information Technology Applications and Management
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• v.19 no.3
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• pp.69-84
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• 2012

A web site focused on a specific product brand so called product-brand web site has become one major marketing tool as such product-brand web site provides chances for customers to experience the detailed information of the specific brand as well as emphatic the image of the brand. The purpose of this research is to examine the influence of the product-brand web site on the formation of attitude toward the product brand. Subjects of this study are users of two web sites of leading sanitary product brands. The result shows that not only emotion, playfulness and convenience perceived from the web site but also existing attitude toward the brand influence the attitude toward the web site. Further, the attitude toward the web site in turn affects attitude toward the image of the brand. The importance of this study is in its conceptualization and empirical verification of the relationship between the product-brand web site and the reputation of a brand.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.2C
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• pp.181-186
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• 2004

Recently, there has been intensive focus on Turbo Product Codes(TPCs) which have low decoding complexity and achieve near-optimum performances at high code-rate. This paper present a parallel algorithm of turbo product codes enable simultaneous decoding of row and column. The row and column decoders operate in parallel and update each other after row and column has been decoded. simulation results show that the performance of proposed parallel turbo code is almost the same as that conventional scheme for several turbo product codes.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.211-220
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• 2004

This paper suggests a collaborative business process between the companies that each has a restricted physical branch in its own area and wants to extend globally sales and delivery service. The companies integrate their business processes for sales and delivery using a shared product taxonomy table. We also suggest a similar product finding algorithm to make the product taxonomy table that defines product relationships to exchange them between the companies. The main idea of the proposed algorithm is using a multi-attribute decision making (MADM) to find the utility values of products in a same product class of the companies. Using the values we determine what products are similar. It helps the product manager to register the similar products into a same product sub-category. The companies then allow consumer to shop and purchase the products at their own residence site and deliver them or similar products to another sites.

• Korean Journal of Computational Design and Engineering
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• v.8 no.2
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• pp.101-108
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• 2003

Presented in this paper is the development of an product cost estimation system at the product design stage. The efficient cost estimation function at the design stage is essential for the cost reduction activities through the entire product life cycle. For this purpose, it is necessary to establish a systematic working procedure, and to develop information system for managing a great deal of production and product-related data required for the cost estimation. The developed system has the capability of estimating a cost of assembly type products as well as unit-item type products. As proposed system is based on the variant approach, it can be used easily at an early design stage without the need for detail design information. Also, this system is integrated with legacy PDM (Product Data Management) and ERP (Enterprise Resource Planning) system for fast. accurate and easy product cost estimation. The estimated cost includes material cost, overhead cost as well as labor cost.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.171-180
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• 2012

Since software and hardware integration has became a strategic tool for companies to innovate their products, an information system that can comprehensively manage software and hardware integrated product development is critical for the current product development. This paper proposed a product data model that can support modules of related software and hardware parts in Product Data Management(PDM) integrated with Software Configuration Management(SCM). The model allows engineers to define software and hardware product structure independently, and support the integration module that can summon related software and hardware parts to build a comprehensive module for collaboration. Through the integration module, engineers can identify and examine the effectiveness of their design alternatives to other related parts form different disciplines. The product data model was implemented as a prototype PDM system and tested with an example robotics product.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2069-2085
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• 2021

A Social Networking Service (SNS) platform provides digital footprints to discover users' interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users' relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users' interest and social influence, where the user interest model relies on historical user behavior and the seed users' evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users' past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.