• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.10
• /
• pp.4626-4631
• /
• 2011

In this paper, we design an ubiquitous-type shopping mall using RFID(Radio Frequency IDentification) technology and a location analysis system which can locate customers in real time at off-line shopping malls as a way to provide any services to customers, based on the results of environmental analysis data. We also suggest an intelligent agent system which can provide a personalized information in time.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.10 no.5
• /
• pp.497-505
• /
• 2000

Today people are very interested in an electronic commerce based on web according to the rapid growth of Internet and multimedia technology. Buyers want the special services for themselves as they become more reasonable, wiser and deepening the tendency of personality. But today most electronic commerce only serves the catalog of goods which buyers see and choose shapes and standards of goods. It is needed sale agent using sale clerks' knowledge beyond the level of service only offering the information about goods to satisfY buyers. So in this thesis buyers can buy the goods suiting buyers' taste using ISA(lntelligent Sale Agent), sale clerks in cyber in place of sale clerks in actual shops in real world. The use of this kind of intelligent sale agent makes buyers save the time for searching for goods and do shopping suiting buyers' taste.

• The Journal of Society for e-Business Studies
• /
• v.3 no.2
• /
• pp.57-71
• /
• 1998

In this paper, we describe the approaches of shopping agents and directory services for online comparison shopping on the web, and propose an information indexing and retrieval system, named InfoEye, with a new method for automatic extraction of product information. The developed method is based on the knowledge about presentation of the product information on the Web. The method from the knowledge about presentation of the product information is derived from both the point that online stores display their products to customers in easy-to-browse ways and heuristics made of analyses of product information look-and-feel of domestic online stores. In indexing process, the method is applied to product information extraction from Hypertext Markup Language (HTML) documents collected by a mirroring robot from online stores. We have made InfoEye to a readily usable stage and transferred the technology to Webnara commercial shopping engine. The proposed system is a cutting-edge solution to help customers as a shopping expert by providing information about the reasonable price of a product from dozens of online stores, saving customers shopping time, giving information about new products, and comparing quality factors of products in a same category.

• Fashion & Textile Research Journal
• /
• v.12 no.4
• /
• pp.450-458
• /
• 2010

The purpose of this study was to investigate the effect of shopping orientation on price perception and the effect of shopping orientation and price perception on purchase satisfaction. This study administered a questionnaire survey to adults in their 20s and 30s who had once purchased fashion products in surrogate internet shopping malls. Among 327 questionnaires, 263 were collected through convenience sampling and 94 were collected from six internet communities. Data were analyzed by factor analyses and regression analyses. The results of this study are as follows. First, factor analysis of price perception revealed that two factors such as price reasonability and price reduction were extracted and the mean of price reduction was higher than one of price reasonability. Second, factor analysis of purchase satisfaction extracted four factors such as service quality, shopping convenience, product scarcity and product variety/price satisfaction. Mean comparisons showed that the mean of product scarcity was the highest among four factors. Third, regression analyses that recreational, economic, and convenience shopping orientation affected price reduction, a factor of price perception. Fourth, regression analyses showed that shopping orientations and the price perception had significant effects on the purchase satisfaction.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 1999.10a
• /
• pp.33-51
• /
• 1999

• Proceedings of the Korea Information Processing Society Conference
• /
• 2003.05b
• /
• pp.839-842
• /
• 2003

경매 개념을 도입한 쇼핑몰의 경우 제품 판매자가 원하는 가격을 제시하고 그 가격에 근접하는 형태로 구매자들끼리 가격 협상을 벌인다. 경매 개념이 도입된 쇼핑몰은 구매자들에게 좀 더 저렴하게 제품을 구매할 수 있도록 하는 장점을 제공하고 있다. 그러나, 대부분의 제품이 경매 종료 시점에 입찰하여 물건을 구입해야 하는 문제점을 가지고 있다. 본 논문에 구현한 OAAS 시스템은 사용자가 경매사이트를 통해 물건을 구매하는 경우 경매 종료 시점에 직접 접속하여 경매에 참여해야 하는 문제점을 제거하였으며, 사용자가 지정한 조건을 가지고 입찰에 참여하여 제품을 낙찬 반을 수 있도록 하여 사용자의 편이성을 증가시켰다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2000.10b
• /
• pp.149-151
• /
• 2000

오늘날 빠른 증가를 보이고 있는 인터넷 상 전자상거래에서 몇 가지 문제점이 드러나고 있다. 본 연구에서는 기존 시스템의 문제점을 보완하여 보다 효율적으로 상거래가 가능한 모델을 제시하고 구현하였다. 이에 따라 사용자와 공급자의 요구에 적절히 응답하는 지능성을 가지는 쇼핑 에이전트와 웹 문서의 표준이 되고 있는 XML의 이점을 바탕으로 한 XML 기술을 적용하여 전자 상거래와 에이전트 기술을 연계한 효과적인 하나의 모델을 세우고 구축하고자 한다.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2001.01a
• /
• pp.11-15
• /
• 2001

The explosion of the Internet, and most recently e-commerce, has caused great interest in agent technologies. The development of virtual environments has also increased in the last few years. A growing number of real-time applications use graphics with photorealistic quality, especially in the field of training, but also in the areas of design and ergonomic research. We describe an attempt to develop a framework that provides customers with multimedia information and interactive experiences with a virtual shopping environment. The application presented consists on a virtual visit to a music -store where the user is guided by an intelligent agent named Lizeth which responds in real-time to user's requests with precise information about music, artist's biographies, prices and related products to help the user to make decisions. The potential of UML and the Java programming language is discussed to show their application in the field of intelligent agents as mediators on shopping processes. We conclude that the proposed framework leads to the creation of application with a potentially significant impact in the development of e-commerce systems embedded in virtual environments.

• The Journal of Information Systems
• /
• v.14 no.2
• /
• pp.55-74
• /
• 2005

In order to purchase a product cheaper, a lot of customers have been trying to search one or more marketplaces. Ever since the commercial use of the Internet, several types of marketplaces have been operating successfully on the Internet. Some of them are online shopping malls, auction markets, and group-buying markets. They have the price settlement mechanisms of their own. Online shopping malls where many stores are located support a customer to purchase the product that matches his/her requests such as price, function, design, and so forth. In online auction market, a customer can buy the product by making bids sequentially and competitively until a final price is reached. In online group-buying market, a customer can purchase the product by aggregating the orders from several buyers so that cheaper prices can be negotiated. The cheaper customers could purchase the same product item, the more satisfied they would be. However, it is very difficult for the customer to determine the marketplace to purchase, considering different kinds of marketplaces at the same time. Even though the purchasing price is cheapest in one marketplace, it is very difficult for customers to convince it the cheapest for all marketplaces. Therefore, rules and methods have been developed for purchase decision making in multiple marketplaces to reach the optimal purchase decision as a whole. They can maximize customer's utility and resolve the conflicts with other marketplaces through multi-agent negotiation.

• Journal of Intelligence and Information Systems
• /
• v.12 no.4
• /
• pp.73-90
• /
• 2006

When a consumer intends to purchase products through Internet stores, many difficulties are met because of limitations of the current search engines and the current web structure, and lack of tools supporting decision-makings. This paper raises an Internet shopping problem and proposes a framework of decision making process to settle it with an intelligent agent based on Semantic Web and Finite Domain Constraint. The agent uses finite domain constraint programming as modeling and solution methods for the decision problem under the Semantic Web environment.