• Journal of Information Technology Applications and Management
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• 제11권3호
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• pp.23-33
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• 2004

Internet bid systems have been widely used recently. In those systems, the bid price is provided by the seller. When the bid price is set too high compared with the normal price, the successful bid rate can be decreased. Otherwise, when it is set too low based on inaccurate information, it can result in a successful bid with no profit at all. To resolve this problem, we propose an agent that automatically generates bid prices for sellers based on various costing methods such as the high-low point method, the scatter diagram method, and the learning curve method. Through performance experiments, we have found that the number of successful bids with appropriate profit can be increased using the bid pricing agent. Among the costing methods, the learning curve method has shown the best performance. Also, we discuss about how to design and implement the bid pricing agent.

• 인터넷정보학회논문지
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• 제2권2호
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• pp.95-103
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• 2001

본 논문에서는 에이전트를 이용하여 판매자와 구매자가 실시간으로 인터넷을 통하여 효율적인 입찰을 할 수 있는 희망구매가 근접 방식의 입찰 시스템을 구현하고 있다. 특히 판매자들이 제시하는 가격의 낙폭 제한선을 적절하게 조절해 줌으로써 구매자의 희망 구매가에 근접한 낙찰을 유도하고, 유찰율을 줄일 수 있는 퍼지-기반 낙폭 제한 추론 방안을 제안하고 있다.

• 한국정보처리학회논문지
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• 제7권5S호
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• pp.1719-1725
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• 2000

Since the advance of WWW, internet related fields have been growing very rapidly. Especially, the development of electronic commerce ares have changed even or life style. This paper is about the design and implementation of an internet auction system, which is considered as on of the most attractive internet services. An internet auction system has more complex processes compared with other electronic commerce systems. In auction systems, bids and a successful bid are required in trading all goods. In this paper, I designed and implemented all processes of an internet auction system, in which a bid tracing systems is included for the first time. The bid tracing system is implemented using only HTTP in maintain compatibility in WWW environment. I also used th JAVA blocking concept to simulate two-way communication. The proposed system is implemented on Windows NT environment using JAVA, ASP, and the Oracle database.

• 한국전자거래학회지
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• 제7권2호
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• pp.55-68
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• 2002

Internet group buying systems have been widely used recently. In those systems, because the reserve price is provided by the buyer, the success rate can be decreased if the reserve price is set too low compared with the normal price. Otherwise, an unsuitable successful bid can be made if the reserve price is set too high based on inaccurate information. Likewise, the seller's providing too high a bid price can deteriorate his/her own successful bid rate, whereas a successful bid with too low a price may make no profit in the sale. Therefore, pricing agents that recommend adequate prices based on the past buying and selling history data can be helpful. In this paper, we propose two kinds of agents. One suggests reserve prices to buyers based on the past buying history database of the system. The other recommends bid prices to a seller based on the past bidding history data of the company using the cost accounting theory. Through performance experiments, we show that the successful bid rate can increase by preventing buyers from making unreasonable reserve prices. Also, we show that, for the seller, the rate of successful bids with appropriate profits can increase. Using the pricing agents, we design and implement an XML-based group buying system.

• 한국전자거래학회지
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• 제9권2호
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• pp.17-31
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• 2004

인터넷 경매 시스템에서는 물품의 판매자가 경매 물품에 적합한 낙찰 예정가를 제안하는 것이 매우 중요하다. 최근에 정보검색 이론의 사례 유사도에 기초하여 경매 물품의 낙찰 예정가를 자동으로 생성하는 에이전트가 연구되었다. 그러나, 이것은 과거의 경매 물품 전체를 대상으로 가장 유사한 사례의 낙찰가를 낙찰 예정가로 생성하므로, 최근의 추세를 반영한 가격을 생성하지 못하는 단점 이 있다. 본 논문에서는 이러한 문제점을 해결하고자 시계열 분석에서 사용하는 이동 평균을 이용하여 최근의 경매 자료에 높은 가중치를 부여하여 낙찰 예정가를 생성하는 방법을 제안한다. 성능 실험을 통하여, 새로운 방법 이 판매자가 경매 물품에 대하여 불합리한 낙찰 예정가를 제시하는 것을 방지함으로써 낙찰률을 높일 수 있음을 보인다.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.827-834
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• 2009

In respond to the demand of an open, fair, transparent, and efficient environment for procurement, many governments have incorporated the use of internet in their procurement systems with online procurement (e-procurement). Given the different policies and laws which have to be complied with, the practice of government e-procurement system varies from one country to another. Thus, experiences in running e-procurement will vary as well. The achievements and obstacles of one country's experience will be a constructive reference for other countries in establishing e-procurement system. In this regard, government e-procurement system practices in two Southeast Asia countries i.e., Thailand and Indonesia particularly in public works are consecutively presented and finally compared in this paper. The government of Thailand has applied Online Auctions (e-Auctions) as the national procurement practice since 2005 and performed the e-Auctions in two types: Reverse Auction and Sealed Bid Auction. Contrary to the common practice of e-procurement, the Thai government, with some rationales, runs the bid documents obtaining manually as well as qualification and technical documents submission and holding the e-Auctions at bidding office. Whereas Indonesian government runs Online Sealed Bid Bidding (e-Procurement) and most of the bidding stages are performed electronically except bid evaluation for both technical and financial. The advantages and drawbacks of these two e-procurement practices are discussed as well as improvements that have to be made for successful of e-procurement.

• 정보처리학회논문지D
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• 제9D권5호
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• pp.955-962
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• 2002

최근에 전자상거래가 보편화되면서 전자경매를 통한 거래가 급증하고 있다. 그러나, 기존 전자경매 시스템들은 낙찰 예정가 결정을 판매자에게만 의존하고 있으므로, 물품의 낙찰가가 낮게 결정되거나 유찰되는 경우가 많다. 본 논문에서는 이러한 문제점을 해결하고자, 과거의 경매 기록과 인터넷 전자상거래 사이트의 가격 정보로부터 사례 유사도를 적용하여 적합한 낙찰 예정가를 자동으로 생성하고 이를 판매자에게 추천하는 시스템을 제안한다. 성능실험 결과 추천된 낙찰 예정가를 사용할 경우 지나치게 높은 낙찰 예정가로 인한 유찰을 줄임으로써 경매 성공률이 향상될 뿐만 아니라, 물품에 대한 낮은 평가를 방지할 수 있음을 보인다. 또한, 본 논문에서는 낙찰 예정가 자동 생성에이전트를 이용하여 인터넷 경매 시스템을 설계 및 구현한다.

• Journal of Information Technology Applications and Management
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• 제12권1호
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• pp.141-155
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• 2005

It is very important that sellers provide reasonable reserve prices for auction items in internet auction systems. Recently, an agent has been proposed to generate reserve prices automatically based on the case similarity of information retrieval theory and the moving average of time series analysis. However, one problem of the previous approaches is that the recent trend of auction prices is not well reflected on the generated reserve prices, because it simply provides the bid price of the most similar item or an average price of some similar items using the past auction data. In this paper. in order to overcome the problem. we propose a method that generates reserve prices based on the moving average. the exponential smoothing, and the least square of time series analysis. Through performance experiments. we show that the successful bid rate of the new method can be increased by preventing sellers from making unreasonable reserve prices compared with the previous methods.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.83-88
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• 2001

To get the items that a buyer wants in Internet auction. he must search for the items through several auction sites. When the bidding starts, he(the buyer) needs to connect to these auction sites frequently so that he can monitor the bid stats and re-bid. A reserve-price auction reduces the number of connections, but this limits the user's bidding strategy. Another problem is equity between the buyer and the seller. Both the buyer and the seller should profit together within proper limits. In this paper, we propose an auction agent system using a collaborative mobile agent and a brokering mechanism called MoCAAS (Mobile Collaborative Auction Agent System), which mediates between the buyer and the seller and executes bidding asynchronously and autonomously. This reduces connection costs. offers more intelligent bidding and solves the equity problem.

• 한국통신학회논문지
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• 제33권11B호
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• pp.1013-1019
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• 2008

최근 들어 인터넷이 급격히 발전하면서 다양한 정보와 자료들이 실생활에 유용하게 쓰이고 있다. 그러나, 정보의 양이 급증하면서 사용자들이 필요로 하는 정보를 찾는데 걸리는 시간 또한 만만치 않게 소비되고 있다. 이를 해결하기 위해 지능형 검색 엔진, 에이전트 시스템 등의 개발로 정보 검색의 신속성과 정착성을 제공하게 되었다. 본 논문에서는 사용자들의 만족을 극대화하기 위한 목적으로 전문성을 필요로 하는 건설 입찰 정보의 분석을 통해 최상의 투찰가를 얻어내는 방법을 제시하고자 한다. 물론 미래에 대한 결과는 모두 일치시킬 수 없는 가정하에서 최상의 낙찰 성공률을 높이기 위한 부분에 논문의 목표를 두었다. 따라서, 본 논문에서는 사용자들에게 보다 신뢰성 있는 투찰가를 제공하기 위해 낙찰자료를 빈도분석 방법으로 접근하여 통계분석 결과 값으로 입찰자료와 비교, 분석하여 낙찰에 대한 투찰가를 산출하는 기법을 제시하고 이를 통해 최적의 투찰가 산출하는 웹 기반의 시스템을 구현하고자 한다.