Earticle

초록

영어

Members in electronic commerce often have no information about each other, thus, trust is one of the most important aspects in online transaction. In order to accurately display the buyers’ trustworthiness. This paper constructs a mean model to compute reputation of buyers. The model is based on two aspects, successful trading and returned goods. We introduce two adaptive trust factors, transaction value factor and return rate factor, to improve the feedback rates of sellers. Contrasting reputation based solely on feedback from sellers, the reputation of buyers is eventually represented by a three-dimensional array in our model. Simulation experiments evaluated different buyers and a buyer’s different period dynamic reputation. Compared with existing rating models, this model is more effective and can increase the ability to resist fraud.

목차

Abstract
 1. Introduction
 2. Evaluating of Reputation of buyers
  2.1. Existing evaluating models
  2.2. Problems of the Existing Models
 3. Building Evaluation Model
  3.1. Evaluation indexes
  3.2. Performance Indicators of Reputation
 4. Simulation and Analysis
  4.1. Experimental Assumptions
  4.2. Experiment
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Yang Zhang [ School of Computer science, Inner Mongolia University, Inner Mongolia, China ] Corresponding Author
• Tieying Liu [ School of Computer science, Inner Mongolia University, Inner Mongolia, China ]
• Ru Li [ School of Computer science, Inner Mongolia University, Inner Mongolia, China ]
• Zhenhai Wan [ School of Computer science, Inner Mongolia University, Inner Mongolia, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605