Skip to main content
Log in

On Desideratum for B2C E-Commerce Reputation Systems

  • Regular Paper
  • Published:
Journal of Computer Science and Technology Aims and scope Submit manuscript

Abstract

This paper reviews existing approaches to reputation systems, their constraints as well as available solutions. Furthermore, it presents and evaluates a novel and comprehensive reputation model devoted to the distributed reputation system for Business-to-Consumer (B2C) E-commerce applications that overcomes the discussed drawbacks. The algorithm offers a comprehensive approach as it considers a number of issues that have a bearing on trust and reputation such as age of ratings, transaction value, credibility of referees, number of malicious incidents, collusion and unfair ratings. Moreover, it also extends the existing frameworks based on information about past behaviour, with other aspects affecting online trading decisions which relate to the characteristic of the providers, such as existence of trustmark seals, payment intermediaries, privacy statements, security/privacy strategies, purchase protection/insurance, alternative dispute resolutions as well as the existence of first party information.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. eBay. Accessed on July 01, 2008, http://www.ebay.co.uk/.

  2. Amazon. Accessed on July 01, 2008, http://www.amazon.co.uk/.

  3. Bizrate. Accessed on July 01, 2008, http://www.bizrate.com/.

  4. Resellerratings. Accessed on July 01, 2008, http://www.resellerratings.com/.

  5. Sabater J, Sierra C. Review on computational trust and reputation models. Artificial Intelligence Review, 2005, 24(1): 33–60.

    Article  MATH  Google Scholar 

  6. Josang A, Ismail R, Boyd C. A survey of trust and reputation systems for online service provision. Decision Support Systems, 2007, 43(2): 618–644.

    Article  Google Scholar 

  7. Gutowska A, Bechkoum K. A distributed agent-based reputation framework enhancing trust in e-commerce. In Proc. IASTED International Conference on Artificial Intelligence and Soft Computing, Palma de Mallorca, Spain, August 29–31, 2007, pp.92–101.

  8. Marti S, Garcia-Molina H. Taxonomy of trust: Categorizing P2P reputation systems. Computer Networks, 2006, 50(4): 472–484.

    Article  MATH  Google Scholar 

  9. Lin K J, Lu H, Yu T, Tai C E. A reputation and trust management broker framework for Web applications. In Proc. IEEE International Conference on e-Technology, e-Commerce and e-Service, Hong Kong, China, March 29–April 1, 2005, pp.262–269.

  10. Bamasak O, Zhang A N. A distributed reputation management scheme for mobile agent-based E-commerce applications. In Proc. IEEE International Conference on e-Technology, e-Commerce and e-Service, Hong Kong, China, March 29–April 12, 2005, pp.270–275.

  11. Huynh T D, Jennings N R, Shadbolt N R. Certified reputation: How an agent can trust a stranger. In Proc. International Conference on Autonomous Agents and Multi-Agent Systems, Hakodate, Japan, May 8–12, 2006, pp.1217–1224.

  12. Fan M, Tan Y, Whinston A B. Evaluation and design of online cooperative feedback mechanism for reputation management. IEEE Transactions on Knowledge and Data Engineering, 2005, 17(2): 244–254.

    Article  Google Scholar 

  13. Zacharia G, Moukas A, Maes P. Collaborative reputation mechanisms for electronic marketplaces. Decision Support Systems, 2000, 29(4): 371–388.

    Article  Google Scholar 

  14. Cho J, Kwon K, Park Y. Q-rater: A collaborative reputation system based on source credibility theory. Expert Systems with Applications, 2009, 36(2P2): 3751–3760.

    Article  Google Scholar 

  15. Ekstrom M, Bjornsson H. A rating system for AEC e-bidding that accounts for rater credibility. In Proc. the CIB W65 Symposium, 2002, pp.753–766.

  16. Gutowska A. Research in online trust: Trust taxonomy as a multi-dimensional model. Rechnical Report, School of Computing and Information Technology, University of Wolverhampton, 2007. http://www.scit.wlv.ac.uk/»in0345/Research.htm.

  17. Gutowska A, Bechkoum K. The issue of online trust and its impact on international curriculum design. In Proc. the Third China-Europe International Symposium on Software Industry-Oriented Education, Dublin, Ireland, February 6–7, 2007, pp.134–140.

  18. Resnick P, Kuwabara K, Zeckhauser R, Friedman E. Reputation systems. Communications of the ACM, 2000, 43(12): 45–48.

    Article  Google Scholar 

  19. Dellarocas C. Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior. In Proc. the 2nd ACM Conference on Electronic Commerce, Minneapolis, USA, October 17–20, 2000, pp.150–157.

  20. Pujol J M, Sangüesa R, Delgado J. Extracting reputation in multi agent systems by means of social network topology. In Proc. the 1st International Joint Conference on Autonomous Agents and Multiagent Systems, Bologna, Italy, July 15–19, 2002, pp.467–474.

  21. Rein G L. Reputation information systems: A reference model. In Proc. Annual Hawaii International Conference on System Sciences, Big Island, Hawaii, USA, January 1–6, 2005, p.26a.

  22. Papaioannou T G, Stamoulis G D. An incentives' mechanism promoting truthful feedback in Peer-to-Peer systems. In Proc. International Symposium on Cluster Computing and the Grid, Cardiff, UK, May 9–12, 2005, pp.275–283.

  23. Singh A, Liu L. TrustMe: Anonymous management of trust relationships in decentralized P2P systems. In Proc. the 3 rd IEEE International Conference on Peer-to-Peer Computing, Lingoping, Sweden, September 1–3, 2003, pp.142–149.

  24. Yu B, Singh M P. An evidential model of distributed reputation management. In Proc. the 1st International Joint Conference on Autonomous Agents and Multiagent Systems, Bologna, Italy, July 15–19, 2002, pp.294–301.

  25. Carbo J, Molina J, Davila J. Comparing predictions of SPO-RAS vs. a fuzzy reputation agent system. In Proc. the 3 rd WSES International Conference on Fuzzy Sets and Fuzzy Systems, Interlaken, Switzerland, February 11–15, 2002, pp.147–153.

  26. TeacyWT L, Patel J, Jennings N R, Luck M. Coping with inaccurate reputation sources: Experimental analysis of a probabilistic trust model. In Proc. the 4th International Conference on Autonomous Agents and Multiagent Systems, Ultrecht, Netherlands, July 25–29, 2005, pp.997–1004.

  27. Friedman E J, Resnick P. The social cost of cheap pseudonyms. Journal of Economics & Management Strategy, 2001, 10(2): 173–199.

    Article  Google Scholar 

  28. Feldman M, Papadimitriou C, Chuang J, Stoica I. Free-riding and whitewashing in peer-to-peer systems. IEEE Journal on Selected Areas in Communications, 2006, 24(5): 1010–1019.

    Article  Google Scholar 

  29. Garg A, Montresor A, Battiti R. Reputation lending for virtual communities. In Proc. the 22nd International Conference on Data Engineering Workshops, Atlanta, USA, April 3–8, 2006, p.22.

  30. Huynh T D, Jennings N R, Shadbolt N R. An integrated trust and reputation model for open multi-agent systems. Journal of Autonomous Agents and Multi-Agent Systems, 2006, 13(2): 119–154.

    Article  Google Scholar 

  31. Sabater J, Sierra C. Reputation and social network analysis in multi-agent systems. In Proc. the First International Joint Conference on Autonomous Agents and Multiagent Systems, Bologna, Italy, July 15–19, 2002, pp.475–482.

  32. Best R, Corney K, Hawkins D. Consumer Behavior: Building Marketing Strategy. McGraw-Hill/Irwin, 2003.

  33. Schlosser A, Schlosser A. Technische Universitat Darmstadt: Reputation System Simulator Documentation, Accessed on July 01, 2008, http://www.inferenzsysteme.informatik.tu-darmstadt.de/users/schlosser/.

  34. Schlosser A, Voss M, Brückner L. On the simulation of global reputation systems. Journal of Artificial Societies and Social Simulation, 2005, 9(1): 4.

    Google Scholar 

  35. Gutowska A, Sloane A. Evaluation of reputation metric for the B2C E-commerce reputation system. In Proc. the 5 th International Conference on Web Information Systems and Technologies, Lisbon, Portugal, March 23–26, 2009, pp.489–498.

  36. Michalakopoulos M, Fasli M., On different trust attitudes and their effects on the electronic marketplace. In Proc. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Compiegne, France, September 19–22, 2005, pp.102–108.

  37. Shneiderman B. Designing trust into online experiences. Communication of the ACM, 2000, 43(12): 57–59.

    Article  Google Scholar 

  38. Cheney W, Kincaid D. Numerical Mathematics and Computing. International Thomson Publishing, 1998.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anna Gutowska.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gutowska, A., Sloane, A. & Buckley, K.A. On Desideratum for B2C E-Commerce Reputation Systems. J. Comput. Sci. Technol. 24, 820–832 (2009). https://doi.org/10.1007/s11390-009-9274-8

Download citation

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11390-009-9274-8

Keywords

Navigation