يك سيستم شهرت مبتني بر زنجيره‌بلوكي براي رفع مشكل تقلب در رتبه دهي محصول و پشتيباني تخصيص مؤثر پاداش به مشتريان

In the world of e-commerce, the impact of customer reviews on buyer decision-making is undeniable. These reviews serve as a metric for eva‎luating product quality and assessing seller credibility. Popular platforms such as eBay and Amazon collect and store a massive volume of customer reviews. However, these systems are often vulnerable to ranking fraud. Dishonest buyers and sellers exploit this mechanism to intentionally promote or degrade specific products. Additionally, the lack of sufficient oversight on these platforms enables potential misuse of reviews by the platforms themselves to boost sales. Such fraudulent and manipulated reviews create a negative experience for online shoppers and significantly reduce trust in e-commerce platforms. This study proposes the use of blockchain technology as an effective solution to prevent data manipulation and ensure the authenticity of recorded reviews. By establishing a decentralized and immutable system, blockchain minimizes fraud and manipulation in reviews, thereby restoring buyer confidence in e-commerce systems. Moreover, the research highlights the importance of implementing an effective reward system to encourage users to provide genuine reviews. This system, leveraging artificial intelligence models, identifies high-quality reviews and rewards active and honest users. Such an approach not only increases the number of authentic reviews but also enhances user engagement and improves the online shopping experience. The proposed systemʹs implementation method is presented in this study, and its performance and efficiency are eva‎luated through the analysis of several challenges and the definition of various metrics. The results show that the proposed mechanism addresses more challenges compared to other methods while maintaining desirable features such as decentralization, information security, effective reward allocation, and preventing reputation abuse.

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