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<p>E-commerce platforms heavily rely on personalized recommendations to enhance the user experience. Performing data analysis on user-provided data reveals significant insights, and companies can use these insights to provide specifically tailored product recommendations on a personalized basis, increasing the likelihood of sales and profit-making opportunities for the company. However, these platforms are raising significant privacy concerns because of their data collection and usage policies and practices. The collected user data is stored on centralized platforms and is very likely to be misused and tampered with. Users have little to no control over their personal data on the platform, leading them to unprecedented targeted advertising, third-party data sharing by companies, and security breaches on the company data. Thus, mitigating these risks is of utmost importance in decentralized systems. Using reputation-enhancing mechanisms (REPEN) can aid in helping reduce these attacks. By enhancing the reputation system, users can have increased confidence in the authenticity and reliability of the information shared on the platform. Enhancing reputation fosters trust and accountability within the platform. We have tested REPEN in Amazon product dataset and the results show that the reputation plays a main role in making personalized trustable recommendations with less gas fee in blockchain-based recommendation systems.</p>

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REPEN: a novel approach for reputation enhancement in blockchain-based e-commerce recommender systems

  • 期刊论文

  • 发表日期：

    2026年6月17日

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  • Rajalakshmi Sivanaiah,
  • S. Angel Deborah,
  • Vishal Sachan,
  • Bhuvnesh Magotra

摘要

E-commerce platforms heavily rely on personalized recommendations to enhance the user experience. Performing data analysis on user-provided data reveals significant insights, and companies can use these insights to provide specifically tailored product recommendations on a personalized basis, increasing the likelihood of sales and profit-making opportunities for the company. However, these platforms are raising significant privacy concerns because of their data collection and usage policies and practices. The collected user data is stored on centralized platforms and is very likely to be misused and tampered with. Users have little to no control over their personal data on the platform, leading them to unprecedented targeted advertising, third-party data sharing by companies, and security breaches on the company data. Thus, mitigating these risks is of utmost importance in decentralized systems. Using reputation-enhancing mechanisms (REPEN) can aid in helping reduce these attacks. By enhancing the reputation system, users can have increased confidence in the authenticity and reliability of the information shared on the platform. Enhancing reputation fosters trust and accountability within the platform. We have tested REPEN in Amazon product dataset and the results show that the reputation plays a main role in making personalized trustable recommendations with less gas fee in blockchain-based recommendation systems.