【摘要】 我国的保险市场正在经历快速发展时期,客户、保险主体和产品的多样性使得产品推荐成为一个热点问题.然而,精准的产品推荐面临着隐私保护问题和可信问题带来的技术挑战.本文首先对客户与保险公司的需求匹配问题进行了分析,然后基于区块链技术提出了一个新的保险产品推荐模型,客户和保险公司可以将对方需要的隐私信息安全地提交给推荐模型进行需求匹配,从而实现了更为精准的产品推荐.实验表明该模型可以在保护隐私的同时,实现产品推荐过程的安全可信和透明公正.更多还原

【Abstract】 Chinese insurance market is experiencing the rapid development period,the variety of customer,insurance stakeholder,and product makes the product recommendation become a hot issue.However,accurate product recommendation faces the technical challenge brought by privacy-preserving and trustworthy problem.Firstly,this study analyzes the matching problem of customer demand and insurance company.Then based on blockchain technology,a new insurance product recommendation model is proposed,customer and insurance company can submit the privacy information needed by the other party to the recommendation model for requirement matching,thus more accurate product recommendation result can be achieved.The experiment shows that the model can achieve the security and transparency of the product recommendation process while preserving the privacy of participants.更多还原