Improving the Amazon Review System by Exploiting the Credibility and Time-Decay of Public Reviews
Bo-Chun Wang, Wen-Yuan Zhu, Ling‐Jyh Chen · 2008
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.