Abstract
Trust and reputation systems represent a significant trend in decision
support for Internet mediated service provision. The basic idea is
to let parties rate each other, for example after the completion
of a transaction, and use the aggregated ratings about a given party
to derive a trust or reputation score, which can assist other parties
in deciding whether or not to transact with that party in the future.
A natural side effect is that it also provides an incentive for good
behaviour, and therefore tends to have a positive effect on market
quality. Reputation systems can be called collaborative sanctioning
systems to reflect their collaborative nature, and are related to
collaborative filtering systems. Reputation systems are already being
used in successful commercial online applications. There is also
a rapidly growing literature around trust and reputation systems,
but unfortunately this activity is not very coherent. The purpose
of this article is to give an overview of existing and proposed systems
that can be used to derive measures of trust and reputation for Internet
transactions, to analyse the current trends and developments in this
area, and to propose a research agenda for trust and reputation systems.
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