Survey of cyber insurance products

Abstract

This project proposed a cyber insurance recommender system leveraging on content-based filtering technique. User’s preference was used to calculate a score for all cyber insurance products stored in the database. Ranking was then applied to identify the top 5 recommended cyber policy. Research information was collected from available online resources with a few references to email replies from people in the industry. The proposed recommender system has worked efficiently and effectively in recommending cyber insurance to user. With success in this project, similar technique could be applied to products that also required specific requirements such as healthcare insurance, personal insurance and vehicle insurance.