Experience-Based Trust in E-Commerce

  • Zhaohao Sun
  • Sukui Lu
  • Jun Han
  • Gavin Finnie
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 251)


Trust is significant for e-commerce and has received increasing attention in e-commerce, multiagent systems, and artificial intelligence (AI). However, little attention has been given to the theoretical foundation and intelligent techniques for trust in e-commerce from either a logical or intelligent systems viewpoint. This paper will fill this gap by examining knowledge-based trust, inference-based trust, case-based trust and experience-based trust in e-commerce and their interrelationships from an intelligent systems viewpoint. The proposed approach will facilitate research and development of trust, multiagent systems, e-commerce and e-services.


Multiagent System Inference Rule Technology Acceptance Model Modus Ponens Reasoning Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© International Federation for Information Processing 2007

Authors and Affiliations

  • Zhaohao Sun
    • 1
  • Sukui Lu
    • 2
  • Jun Han
    • 3
  • Gavin Finnie
    • 4
  1. 1.Dept. of Computer Science, College of Mathematics and Information ScienceHebei Normal UniversityShijiazhuangChina
  2. 2.College of Mathematics and ComputerHebei UniversityBaodingChina
  3. 3.School of Computer ScienceBeihang UniversityBeijingChina
  4. 4.School of Information TechnologyBond UniversityGold CoastAustralia

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