A workforce health insurance plan recommender system

摘要

Big data appearing in health domain bring great opportunities to develop a workforce health insurance plan recommender system, which can help workforce users select proper insurance plans efficiently. There are two challenges in the development of health insurance plan recommender system: (1) plan and user data present hierarchical tree structures; (2) user requirements are complex and hard to get accurately and completely. To handle both these challenges, this paper proposes a tree matching-based health insurance plan recommender system for workforce. It models the plans and user requirement as plan trees and user requirement trees, and develops user requirement tree construction method and a tree matching based recommendation method.