2008 19th International Conference on Database and Expert Systems Application The Hidden Problem of Uninformed Online Product Reviewers September 01-September 05 ISBN: 978-0-7695-3299-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2008.57
Online product reviews sometimes display a consistent, positive bias. Prior research has largely focused on reviewer honesty but other possible explanations are lack of product knowledge and self-selection bias. A semantic Web method is proposed to deliver more accurate reviews to online customers. An agent-based model is used to show that such a method can significantly improve information delivery even with noisy knowledge data.
Index Terms:
Knowledge based systems, Monte Carlo methods, data management, simulation, economics
Citation:
Doug Lundquist, "The Hidden Problem of Uninformed Online Product Reviewers," dexa, pp.739-743, 2008 19th International Conference on Database and Expert Systems Application, 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||