DocumentCode :
3434710
Title :
A Trust-enabled P2P Recommender System
Author :
Pitsilis, Georgios ; Marshall, Lindsay
Author_Institution :
Sch. of Comput. Sci., Univ. of Newcastle
fYear :
2006
fDate :
38869
Firstpage :
59
Lastpage :
64
Abstract :
In this paper we present a trust-oriented method that can be used when building P2P recommender systems. We discuss its benefits in comparison to centralized solutions, its requirements, its pitfalls and how these can be overcome. We base the formation of trust on evidential reasoning and designed with ease of adoption by existing infrastructures in mind. The paper includes a first analysis of performance based on a simulation used to investigate the impact on scalability and thus show the applicability of the protocol
Keywords :
case-based reasoning; information filtering; information filters; peer-to-peer computing; security of data; P2P recommender system; evidential reasoning; simulation; trust-oriented method; Collaborative work; Costs; Delay; Filtering; Floods; Protocols; Recommender systems; Robustness; Scalability; Usability; P2P systems; Recommender Systems; Subjective Logic; Trust Modelling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Enabling Technologies: Infrastructure for Collaborative Enterprises, 2006. WETICE '06. 15th IEEE International Workshops on
Conference_Location :
Manchester
ISSN :
1524-4547
Print_ISBN :
0-7695-2623-3
Type :
conf
DOI :
10.1109/WETICE.2006.12
Filename :
4092183
Link To Document :
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