Improving amazon-like review systems by considering the credibility and time-decay of public reviews

Bo Chun Wang*, Wen Yuan Zhu, Ling Jyh Chen

*此作品的通信作者

研究成果: 雜誌貢獻回顧評介論文同行評審

3 引文 斯高帕斯(Scopus)

摘要

In this study, we investigate the review system of Amazon.com, which is regarded as one of the most successful e-commerce websites in the world. We believe that the review results provided by Amazon's review system may not be representative of the advertised products because the system does not consider two essential factors, namely the credibility and the time-decay of public reviews. Using a dataset downloaded from Amazon.com, we demonstrate that although the credibility and time-decay issues are very common, they are not handled well by current public review systems. To address the situation, we 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 reviews posted by the public. We evaluate the proposed scheme against the current Amazon scheme. The results demonstrate that the RTBR scheme is superior to the Amazon scheme because it is more credible and it 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.

原文英語
頁(從 - 到)463-472
頁數10
期刊Informatica (Ljubljana)
35
發行號4
出版狀態已發佈 - 2011

ASJC Scopus subject areas

  • 軟體
  • 理論電腦科學
  • 電腦科學應用
  • 人工智慧

指紋

深入研究「Improving amazon-like review systems by considering the credibility and time-decay of public reviews」主題。共同形成了獨特的指紋。

引用此