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Editorial message special track on trust, recommendations, evidence and other collaboration know-how (TRECK)
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Proceedings of the 2005 ACM symposium on Applied computing table of contents
Santa Fe, New Mexico
SESSION: Trust, recommendations, evidence, and other collaboration know-how (TRECK) table of contents
Pages: 1569 - 1569  
Year of Publication: 2005
ISBN:1-58113-964-0
Authors
Jean-Marc Seigneur  Trinity College Dublin, Ireland
Christian Damsgaard Jensen  Technical University of Denmark, Denmark
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Computational models of trust and mechanisms based on the human notion of trust have been gaining momentum over the last couple of years. One reason for this is that traditional security mechanisms are challenged by open, large scale and decentralised environments. The use of an explicit trust management component goes beyond security though. Trust has been used in reputation systems, collaborative filtering, social/business networking services, dynamic coalitions and virtual organizations. Two very successful real-world applications based on computational trust are GoogleTM's PageRankTM trust metric, where the entities are the Web pages and their trust relationships are the hyperlinks between the pages, and eBay@'s user profile score, which represents the trustworthiness of a user according to recommendations about past transactions.

Collaborative Colleagues:
Jean-Marc Seigneur: colleagues
Christian Damsgaard Jensen: colleagues