基于移动互联网的中医知识推荐方法初探

Preliminary Research on TCM Knowledge Recommendation Via Mobile Internet

中医药知识服务领域的一个核心问题是:面对海量的中医知识资源,如何根据用户的健康状况和行为信息,从中自动找出用户可能关注或感兴趣的知识,从而实现中医知识的主动推荐。移动互联网因其普及性、便捷性以及强大的个人信息采集和自动感知能力,为解决这一问题提供了理想的平台。本文介绍个性化知识推荐的概念、背景和技术,阐述基于移动互联网的中医知识推荐服务的现状,提出存在的问题和研究思路。

A core problem of knowledge services in Traditional Chinese Medicine （ TCM ） domain is as follows： in the face of massive knowledge resources, how to automatically find out which ones a user may be interested in so as to realize active knowledge recommendation. Mobile Internet, with its popularity, convenience, and ability to collect personal information, provides an ideal platform to solve this problem. This paper introduced the concept and background of personalized knowledge recommendation, analyzed the current status of TCM knowledge recommendation via mobile Internet, and proposed existing problems＇and research thoughts.