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Q-rater: A collaborative reputation system based on source credibility theory

Cited 35 time in Web of Science Cited 40 time in Scopus
Authors
Cho, Jinhyung; Kwon, Kwiseok; Park, Yongtae
Issue Date
2009-03-01
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Citation
EXPERT SYSTEMS WITH APPLICATIONS; Vol.36 2; 3751-3760
Keywords
Reputation systemRating aggregationE-commerceCollaborative filteringSource credibility theory
Abstract
The consumer is an important information source and the after-transaction-feedback is used as the quality indicator for trust building in e-commerce. However, the possibility of incorrect information from unreliable users and declining trust in the electronic market looms large. Hence, there is a need for a fairer and more objective reputation mechanism. Most existing reputation systems focus oil the reputation of users than items and they rely on explicit feedback information. As a solution to these problems, we propose a reputation system ("Q-rater") suitable for B2C e-commerce. We adopt the source credibility theory of consumer psychology and the basic mechanism of collaborative filtering methods for the overall process of the proposed reputation system, We also evaluate performance of the Q-rater experimentally by comparing it with the other benchmark systems and observing the performance changes with variations in the size of rater group and item rating aggregation mechanism. (C) 2008 Published by Elsevier Ltd.
ISSN
0957-4174
Language
English
URI
https://hdl.handle.net/10371/75329
DOI
https://doi.org/10.1016/j.eswa.2008.02.034
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Industrial Engineering (산업공학과)Journal Papers (저널논문_산업공학과)
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