A Dynamic Model for Sharing Reputation of Sellers Among Buyers for Enhancing Trust in Agent Mediated E-Market
Reputation systems aim to reduce the risk of loss due to untrustworthy participants. This loss is aggravated by dishonest advisors trying to pollute the e-market environment for their self-interest. A major task of a reputation system is to promote and encourage advisors who repeatedly respond with fair advice and to apply an opinion filtering or honesty checking mechanism to detect and resist dishonest advisors. This paper provides a dynamic approach to compute the aggregated shared reputation component by filtering out unfair advice and then generating the aggregated shared reputation value. The proposed approach is dynamic in nature as it is sensitive to the behaviour of advisors, value of the current transaction and encourages the cooperation among buyers as advisors. It provides incentive to honest advisors in lieu of repeated sharing of honest opinion by increasing the weight of their opinion and by making the increase in the reputation of honest advisors monotonically proportional to the value of a transaction.
Keywords: Reputation, Reinforcement Learning, e-market, Trustworthiness.
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ABOUT THE AUTHORS
Vibha Gaur
She is PhD from the department of Computer Science, Delhi University. She is working as Associate Professor in Delhi University and has a teaching experience of about 14 years. She has authored more than 20 papers in various international conferences and journals. Her current research interests include artificial intelligence, information systems, trust, e-commerce, software quality and requirement engineering.
Neeraj Kumar Sharma
PhD student at Delhi University. He is also working as Assistant Professor in Delhi University and has a teaching experience of about 8 years. He has published two booklets pertaining to MCA syllabus of IGNOU in the subjects Artificial Intelligence and Algorithms in 2005 and 2006. He has presented two papers in international conferences by ACEEE (ACS 2010) and Springer (ACC 2011). He has also published two papers in international journals, one paper in International Journal on Recent Trends in Engineering & Technology and one in International Journal of Computer Science Issues (IJCSI, Vol.8, Issue4, July2011).
Punam Bedi
She is PhD from the department of Computer Science, Delhi University. She is working as Associate Professor in the Department of Computer Science at Delhi University and has a teaching experience of more than 25 years. She has authored more than 50 papers in various international conferences and journals. Her current research interests include artificial intelligence, information systems, trust, recommender systems, human-machine interaction and different branches of software engineering.
Vibha Gaur
She is PhD from the department of Computer Science, Delhi University. She is working as Associate Professor in Delhi University and has a teaching experience of about 14 years. She has authored more than 20 papers in various international conferences and journals. Her current research interests include artificial intelligence, information systems, trust, e-commerce, software quality and requirement engineering.
Neeraj Kumar Sharma
PhD student at Delhi University. He is also working as Assistant Professor in Delhi University and has a teaching experience of about 8 years. He has published two booklets pertaining to MCA syllabus of IGNOU in the subjects Artificial Intelligence and Algorithms in 2005 and 2006. He has presented two papers in international conferences by ACEEE (ACS 2010) and Springer (ACC 2011). He has also published two papers in international journals, one paper in International Journal on Recent Trends in Engineering & Technology and one in International Journal of Computer Science Issues (IJCSI, Vol.8, Issue4, July2011).
Punam Bedi
She is PhD from the department of Computer Science, Delhi University. She is working as Associate Professor in the Department of Computer Science at Delhi University and has a teaching experience of more than 25 years. She has authored more than 50 papers in various international conferences and journals. Her current research interests include artificial intelligence, information systems, trust, recommender systems, human-machine interaction and different branches of software engineering.
