Earticle

초록

영어

This paper shows the effects of traders evaluation based computational mechanism design in electronic commerce. The proposes a new user evaluation methods based on multi-criteria based rating system. In the existing trading systems, most of them have user evaluation to help buyers/sellers decision making to trade. However, a user can never know where the potential trading partners did trade successfully based on his/her evaluation criteria. And also, some traders show the information, which are advantage on their trade on the e-commerce website. In some cases, sellers lose a chance to sell the item because of lack of their and their items information. Contrary, buyers sometimes cannot make a decision to choose trading partner because of poor webpage structure even though the seller is truthful trader. To solve these problems, we propose a new evaluation system based on multi- criteria evaluation and sellers trading history. We show 6 experiment results using our proposed mechanism the rest of paper.

목차

Abstract
 1. Introduction
 2. Preliminary Discussions
  2.1. Existing Evaluation Systems
  2.2. Feature of Existing Evaluation Systems
  2.3. Incomplete Information
  2.4. Computational Mechanism Design
 3. Evaluation Mechanism
  3.1. Conditions and Protocols
  3.2. Evaluation Mechanism
 4. Efficiency of the Mechanism
 5. Incentive Making
  5.1. Evaluation from the System by Information Disclosure
  5.2. Evaluation from the System by Cumulative Extra Point
 6. Experiments
  6.1. Setting
  6.2. Result of Experiments
 7. Discussion
  7.1. Trader Selection
  7.2. Related Work
 References

키워드

저자

• Tokuro Matsuo [ Advanced Institute of Industrial Technology ]
• Koki Murakata [ Tokyo Keiki Inc. ]
• Satoshi Takahashi [ The University of Electro-Communications ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605