%0 Conference Proceedings
%T Give Rookies A Chance: A Trust-Based Institutional Online Supplier Recommendation Framework
%+ Data and Web Engineering Group [Adelaide]
%+ Faculty of Information and Communication Technologies
%A Jiao, Han
%A Liu, Jixue
%A Li, Jiuyong
%A Liu, Chengfei
%Z Part 10: Security and Trust Models
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 27th Information Security and Privacy Conference (SEC)
%C Heraklion, Crete, Greece
%Y Dimitris Gritzalis
%Y Steven Furnell
%Y Marianthi Theoharidou
%I Springer
%3 Information Security and Privacy Research
%V AICT-376
%P 400-411
%8 2012-06-12
%D 2012
%R 10.1007/978-3-642-30436-1_33
%K trust
%K trustworthiness
%K reputation
%K customer feedback
%K agent selection
%K game theory
%Z Computer Science [cs]Conference papers
%X Trust and reputation systems are widely adopted to help online consumers choose trustworthy suppliers. One problem is that consumers are only attracted by high-reputation holders, which disadvantages the newcomers entering the market, even they provide better goods or services. In this paper, we propose an online supplier selection model in which online consumers interact with a web institution, where online suppliers are registered in, and the web institution will recommend trustworthy suppliers according to a trust-based algorithm. This new recommendation model finds a balance point between minimizing the defective interactions as well as granting opportunities to newcomers. In addition, it saves consumers’ efforts to look for trustworthy suppliers. We propose a framework to help realize the new interaction mode. We also use experiments to show its effectiveness.
%G English
%2 https://inria.hal.science/hal-01518253/document
%2 https://inria.hal.science/hal-01518253/file/978-3-642-30436-1_33_Chapter.pdf
%L hal-01518253
%U https://inria.hal.science/hal-01518253
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC11
%~ IFIP-SEC
%~ IFIP-AICT-376