Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/230098

Title

Give rookies a chance: a trust-based institutional online supplier recommendation framework

Author(s)

Jiao, Han;  Liu, Jixue;  Li, Jiuyong;  Liu, Chengfei

Abstract

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.

Publication type

Conference paper

Research centre

Swinburne University of Technology. Faculty of Information and Communication Technologies

Source

IFIP Advances in Information and Communication Technology: Information Security and Privacy Research: proceedings of the 27th IFIP TC 11 Information Security and Privacy Conference (SEC 2012), Heraklion, Crete, 04-06 June 2012 / Dimitris Gritzalis, Steven Furnell and Marianthi Theoharidou (eds.), Vol. 376, pp. 400-411

Publication year

2012

Keyword(s)

Agent selection;  Customer feedback;  Game theory;  Reputation;  Trust;  Trustworthiness

Publisher

Springer

ISSN

1868-4238 (series ISSN)

ISBN

9783642304354, 3642304354

Publisher URL

http://dx.doi.org/10.1007/978-3-642-30436-1_33

Copyright

Copyright © IFIP International Federation for Information Processing 2012.

Peer reviewed