Improving the Amazon review system by exploiting 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: 書貢獻/報告類型 › 會議論文篇章

10 引文 斯高帕斯（Scopus）

摘要

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 timedecay 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 timestamped and can be evaluated by other users.

原文英語
主出版物標題Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008
頁面123-126
頁數4
DOIs
出版狀態已發佈 - 2008
對外發佈是
事件2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008 - Sydney, NSW, 澳大利亚
持續時間: 2008 12月 9 → 2008 12月 12

出版系列

名字Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008

其他

其他2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008
國家/地區澳大利亚
城市Sydney, NSW
期間2008/12/09 → 2008/12/12

ASJC Scopus subject areas

  • 人工智慧
  • 電腦網路與通信
  • 軟體

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