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.
Dimitris Gritzalis; Steven Furnell; Marianthi Theoharidou. 27th Information Security and Privacy Conference (SEC), Jun 2012, Heraklion, Crete, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-376, pp.400-411, 2012, Information Security and Privacy Research. 〈10.1007/978-3-642-30436-1_33〉
https://hal.inria.fr/hal-01518253
Contributeur : Hal Ifip
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Soumis le : jeudi 4 mai 2017 - 13:45:46
Dernière modification le : jeudi 4 mai 2017 - 14:53:52
Document(s) archivé(s) le : samedi 5 août 2017 - 13:13:58
Han Jiao, Jixue Liu, Jiuyong Li, Chengfei Liu. Give Rookies A Chance: A Trust-Based Institutional Online Supplier Recommendation Framework. Dimitris Gritzalis; Steven Furnell; Marianthi Theoharidou. 27th Information Security and Privacy Conference (SEC), Jun 2012, Heraklion, Crete, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-376, pp.400-411, 2012, Information Security and Privacy Research. 〈10.1007/978-3-642-30436-1_33〉. 〈hal-01518253〉
