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A Survey of Privacy Solutions using Blockchain for Recommender Systems: Current Status, Classification and Open Issues
The Computer Journal ( IF 1.4 ) Pub Date : 2021-04-28 , DOI: 10.1093/comjnl/bxab065
Tamara Abdulmunim Abduljabbar 1 , Xiaohui Tao 1 , Ji Zhang 1 , Xujuan Zhou 2 , Lin Li 3 , Yi Cai 4
Affiliation  

Due to the rapid growth of Internet, E-commerce and Internet of Things, people use Web based services for most of their needs including buying items, reading books, watching online shows etc. Several companies are using recommender systems to influence people’s choices based on their likings, behaviours etc. Hence, people fear that their privacy is violated. Also, some of the online applications are not safe and secure. One way to overcome the privacy related issues is using secured solutions such as incorporating blockchain technologies for privacy-based applications. The decentralized nature of blockchain technologies have resolved several security, and authentication problems of Internet of Things systems. In this paper, we conduct a comprehensive survey on the privacy solutions for recommender systems emphasising current status, classification and open issues. We also discuss blockchain technology, including its structure as well as applications of blockchain technology for privacy solutions of recommender systems. Furthermore, we discuss the limitations and delve into future trends that blockchain technology can be adapted for privacy-base applications in the years to come.

中文翻译:

使用区块链推荐系统的隐私解决方案调查:现状、分类和未解决的问题

由于互联网、电子商务和物联网的快速发展,人们使用基于 Web 的服务来满足他们的大部分需求,包括购买物品、阅读书籍、观看在线节目等。一些公司正在使用推荐系统来影响人们的选择,基于他们的喜好,行为等。因此,人们担心他们的隐私受到侵犯。此外,一些在线应用程序并不安全。克服隐私相关问题的一种方法是使用安全解决方案,例如将区块链技术用于基于隐私的应用程序。区块链技术的去中心化特性解决了物联网系统的多个安全和身份验证问题。在本文中,我们对推荐系统的隐私解决方案进行了全面调查,强调当前状态,分类和未解决的问题。我们还讨论了区块链技术,包括其结构以及区块链技术在推荐系统隐私解决方案中的应用。此外,我们讨论了区块链技术在未来几年可以适用于基于隐私的应用程序的局限性并深入研究未来趋势。
更新日期:2021-04-28
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