Community-based service location
Communications of the ACM
Neuro-Dynamic Programming
Incentives for Sharing in Peer-to-Peer Networks
WELCOM '01 Proceedings of the Second International Workshop on Electronic Commerce
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Prototyping a novel platform for free-trade of digital content
WebMedia '06 Proceedings of the 12th Brazilian Symposium on Multimedia and the web
Towards a framework for weaving social networks principles into web services discovery
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
A protocol for a distributed recommender system
Trusting Agents for Trusting Electronic Societies
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Most existing research on peer-to-peer systems focuses on protocol design. In this paper, we consider the issue of free riding in peer-to-peer referral systems. Free riders are agents that refuse either to answer a query or to give referrals. Free riding is detrimental to the system, since it may prevent requesters from finding high quality providers efficiently. To mitigate the issue of free riding, we propose a dynamic pricing mechanism to motivate the agents to behave rationally. Service providers learn appropriate prices of referrals and answers in order to maximize their payoffs through stochastic iterative learning algorithms.