Improving the Amazon review system by exploiting the credibility and Time-decay of public reviews

Bo Chun Wang; Wen Yuan Zhu; Ling Jyh Chen

doi:10.1109/WIIAT.2008.30

Improving the Amazon review system by exploiting the credibility and Time-decay of public reviews

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Citations (Scopus)

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 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.

Original language	English
Title of host publication	Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008
Pages	123-126
Number of pages	4
DOIs	https://doi.org/10.1109/WIIAT.2008.30
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008 - Sydney, NSW, Australia Duration: 2008 Dec 9 → 2008 Dec 12

Publication series

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

Other

Other	2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008
Country/Territory	Australia
City	Sydney, NSW
Period	2008/12/09 → 2008/12/12

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Software

Access to Document

10.1109/WIIAT.2008.30

Cite this

Wang, B. C., Zhu, W. Y., & Chen, L. J. (2008). Improving the Amazon review system by exploiting the credibility and Time-decay of public reviews. In Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008 (pp. 123-126). Article 4740742 (Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008). https://doi.org/10.1109/WIIAT.2008.30

Improving the Amazon review system by exploiting the credibility and Time-decay of public reviews. / Wang, Bo Chun; Zhu, Wen Yuan; Chen, Ling Jyh.
Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008. 2008. p. 123-126 4740742 (Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, BC, Zhu, WY & Chen, LJ 2008, Improving the Amazon review system by exploiting the credibility and Time-decay of public reviews. in Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008., 4740742, Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008, pp. 123-126, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008, Sydney, NSW, Australia, 2008/12/09. https://doi.org/10.1109/WIIAT.2008.30

Wang BC, Zhu WY, Chen LJ. Improving the Amazon review system by exploiting the credibility and Time-decay of public reviews. In Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008. 2008. p. 123-126. 4740742. (Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008). doi: 10.1109/WIIAT.2008.30

Wang, Bo Chun ; Zhu, Wen Yuan ; Chen, Ling Jyh. / Improving the Amazon review system by exploiting the credibility and Time-decay of public reviews. Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008. 2008. pp. 123-126 (Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008).

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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 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.",

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Improving the Amazon review system by exploiting the credibility and Time-decay of public reviews

Abstract

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