원문정보
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
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