医学信息资源个性化服务推荐系统设计与实施

Design and Enforcement of Personalized Service Recommendation System of Medical Information Resources

本文针对医学信息资源的特点,设计了一种新型的主题词概念分层协同过滤算法,从而构建了一个医学信息资源推荐模型系统MedPRS。通过初步测试,证明其显著提高了推荐的质量。

This article discusses that a new type recommendation algorithm, thesaurus concept hierarchy collaborative filtering algorithm was designed for medical information. Accordingly a model system MedPRS was built for recommending medical information resources. This algorithm was proved to be able to remarkably improve the recommendation quality by preliminary test.