Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
CONFESS " An Incentive Compatible Reputation Mechanism for the Online Hotel Booking Industry
CEC '04 Proceedings of the IEEE International Conference on E-Commerce Technology
An incentives' mechanism promoting truthful feedback in peer-to-peer systems
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
A survey of trust and reputation systems for online service provision
Decision Support Systems
Eliciting Informative Feedback: The Peer-Prediction Method
Management Science
Electronic Commerce Research and Applications
Evolving service semantics cooperatively: a consumer-driven approach
Autonomous Agents and Multi-Agent Systems
Protecting buying agents in e-marketplaces by direct experience trust modelling
Knowledge and Information Systems
Seller bidding in a trust-based incentive mechanism for dynamic e-marketplaces
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Relating Reputation and Money in Online Markets
ACM Transactions on the Web (TWEB)
On the analysis of reputation for agent-based web services
Expert Systems with Applications: An International Journal
Design of an incentive mechanism to promote honesty in e-marketplaces with limited inventory
Proceedings of the 14th Annual International Conference on Electronic Commerce
Design of a multiagent-based e-marketplace to secure service trading on the internet
Proceedings of the 13th International Conference on Electronic Commerce
Improving trust modeling through the limit of advisor network size and use of referrals
Electronic Commerce Research and Applications
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In this paper, we explore the use of the web as an environment for electronic commerce. In particular, we develop a novel mechanism that creates incentives for honesty in electronic marketplaces where human users are represented by buying and selling agents. In our mechanism, buyers model other buyers and select the most trustworthy ones as their neighbors from which they can ask advice about sellers. In addition, however, sellers model the reputation of buyers. Reputable buyers provide fair ratings of sellers, and are likely to be neighbors of many other buyers. Sellers will provide more attractive products to reputable buyers, in order to build their reputation. We discuss how a marketplace operating with our mechanism leads to better profit both for honest buyers and sellers. With honesty encouraged, our work promotes the acceptance of web-based agent-oriented e-commerce by human users.