Title :
Improving the Amazon Review System by Exploiting the Credibility and Time-Decay of Public Reviews
Author :
Wang, Bo-Chun ; Zhu, Wen-Yuan ; Chen, Ling-Jyh
Author_Institution :
Inst. of Inf. Sci., Acad. Sinica, Taipei
Abstract :
In this study, we investigate the review system of Amazon.com and propose a review-credibility and time-decay based ranking (RTBR) approach, which improves the Amazon review system by exploiting the credibility and time-decay of public reviews. Using a dataset downloaded from Amazon.com, we evaluate the proposed scheme on the current Amazon scheme. The results demonstrate that the RTBR scheme is superior to the Amazon scheme because it is more trustworthy and provides timely review results. Moreover, the scheme is simple and applicable to other Amazon-like review systems in which the reviews are time-stamped and can be evaluated by other users.
Keywords :
Web sites; electronic commerce; information retrieval; retail data processing; Amazon review system; Web 2.0 e-commerce store; public review; time-decay based ranking approach; time-stamped review credibility; Aggregates; Aging; Bayesian methods; Electronic learning; Feedback; Information science; Intelligent agent; Internet; Testing; Web pages;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
DOI :
10.1109/WIIAT.2008.30
