| Summary: | 碩士 === 國立交通大學 === 資訊管理研究所 === 105 === As P2P business model became more popular in the insurance industry, it properly brings out the core function of insurance: risk management in the risk-sharing community. Nowadays, P2P insurance platform is prospering through financial technology, but it rarely utilizes the power of social networks to assist insurers to find their co-insurers. In addition, the current online platform is difficult to find a suitable co-insurers group without risk considering. In this research, we proposed a social-based recommendation mechanism for insurers through analyzing users’ inclination, posts, background, similarity, and relationship, to provide proper recommendations to further improve the usage of P2P insurance and reduce the risk in the risk-sharing group.
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