Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, Epiciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Give Rookies A Chance: A Trust-Based Institutional Online Supplier Recommendation Framework

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, May 4, 2017 - 1:45:46 PM
Last modification on : Thursday, May 4, 2017 - 2:53:52 PM
Long-term archiving on: : Saturday, August 5, 2017 - 1:13:58 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Han Jiao, Jixue Liu, Jiuyong Li, Chengfei Liu. Give Rookies A Chance: A Trust-Based Institutional Online Supplier Recommendation Framework. 27th Information Security and Privacy Conference (SEC), Jun 2012, Heraklion, Crete, Greece. pp.400-411, ⟨10.1007/978-3-642-30436-1_33⟩. ⟨hal-01518253⟩



Record views


Files downloads