Science and Engineering Ethics

, Volume 24, Issue 5, pp 1577–1588 | Cite as

E-commerce Review System to Detect False Reviews

  • Manjur KolharEmail author
Original Paper


E-commerce sites have been doing profitable business since their induction in high-speed and secured networks. Moreover, they continue to influence consumers through various methods. One of the most effective methods is the e-commerce review rating system, in which consumers provide review ratings for the products used. However, almost all e-commerce review rating systems are unable to provide cumulative review ratings. Furthermore, review ratings are influenced by positive and negative malicious feedback ratings, collectively called false reviews. In this paper, we proposed an e-commerce review system framework developed using the cumulative sum method to detect and remove malicious review ratings.


Product review E-commerce Cloud computing Cumulative sum False review rating 



This project was supported by the Deanship of Scientific Research at Prince Sattam Bin Abdulaziz University under the research project # 2017/01/7977.

Compliance with Ethical Standards

Conflict of interest

The author declare that he has no conflict of interest.


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Copyright information

© Springer Science+Business Media B.V. 2017

Authors and Affiliations

  1. 1.Department of Computer Science, College of Arts and SciencePrince Sattam Bin Abdulaziz UniversityWadi Ad DawaserSaudi Arabia

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