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Reputation-based trust network modelling and simplification in multiagent-based e-commerce systems

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/119433

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Title: Reputation-based trust network modelling and simplification in multiagent-based e-commerce systems
Related: International Conference on Next-Generation Web Services Practices (5th : 2009) (9 - 11 September 2009 : Prague)
Related: Abraham, Ajith; Husek, Dusan and Snasel, Vaclav. Proceedings of the 2009 Fifth International Conference on Next Generation Web Services Practices : 9-11 September 2009, Prague, Czech Republic, p.60-67
DOI: 10.1109/NWeSP.2009.13
Publisher: Los Alamitos, Calif : IEEE
Date: 2009
FoR/RFCD Code(s): 089900 Other Information and Computing Sciences
Author/Creator: Gan, Zaobin
Author/Creator: Ding, Qian
Author/Creator: Varadharajan, Vijay
Description: In this paper, we present a description model of a trust network graph (TNG)-for multi-agent-based e-commerce systems, which is similar to the relationship network formed among people's transaction activities in the real-world. The method assumes that a multi-agent system in a domain constitutes a community and so the trust network is modelled by the means of a graph in the community. Several notations and regulations are defined in the description model of TNG. In order to sweep out redundancy information in the TNG and reduce the complexity of the trust computation, we propose the principles and the processes of simplification, the definition and the selection algorithm of optimized path for recommendation propagation (OPRP) in terms of the trust commonsense in people's daily life. The examples in this paper show that TNG can describe the complex trust relationships in multiagent e-commerce systems and help simplify the algorithms of the trust evaluation.
Description: 8 page(s)
Subject Keyword: 089900 Other Information and Computing Sciences
Resource Type: conference paper
Organisation: Macquarie University. Dept. of Computing

Identifier: http://hdl.handle.net/1959.14/119433
Identifier: ISBN:9780769538211
Identifier: mq-rm-2009009037
Language: eng
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