Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 463-472 |
| Number of pages | 10 |
| Journal | Informatica (Ljubljana) |
| Volume | 35 |
| Issue number | 4 |
| Publication status | Published - 2011 Dec 1 |
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Keywords
- Credibility
- E-commerce
- Review systems
- Time-decay
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Computer Science Applications
- Artificial Intelligence
Cite this
Improving amazon-like review systems by considering the credibility and time-decay of public reviews. / Wang, Bo Chun; Zhu, Wen Yuan; Chen, Ling-Jyh.
In: Informatica (Ljubljana), Vol. 35, No. 4, 01.12.2011, p. 463-472.Research output: Contribution to journal › Review article
}
TY - JOUR
T1 - Improving amazon-like review systems by considering the credibility and time-decay of public reviews
AU - Wang, Bo Chun
AU - Zhu, Wen Yuan
AU - Chen, Ling-Jyh
PY - 2011/12/1
Y1 - 2011/12/1
N2 - 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.
AB - 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.
KW - Credibility
KW - E-commerce
KW - Review systems
KW - Time-decay
UR - http://www.scopus.com/inward/record.url?scp=84855317427&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84855317427&partnerID=8YFLogxK
M3 - Review article
AN - SCOPUS:84855317427
VL - 35
SP - 463
EP - 472
JO - Informatica (Slovenia)
JF - Informatica (Slovenia)
SN - 0350-5596
IS - 4
ER -