Abstract: The strengths and weaknesses of the traditional collaborative filtering algorithm are analyzed to design and construct the user identification feature model. Then, the collaborative filtering algorithm based on the user identification feature model is proposed. The classical collaborative filtering algorithm and the algorithm based on the user identification feature model are experimented to be compared, the advantages of the collaborative filtering algorithm based on the user identification feature model over the classical one could be found, thus proving that the collaborative filtering algorithm based on the user identification feature model could improve its efficiency in the process of the information push for health care of the traditional Chinese medicine.

Key words: user Identification feature model, health care of traditional chinese medicine, collaborative filtering, push algorithm

摘要： 通过分析传统协同过滤算法的优缺点,设计构建用户识别特征模型,并提出基于用户识别特征模型的协同过滤算法,将经典协同过滤算法与基于用户识别特征模型的协同过滤算法进行比较试验,分析基于用户识别特征模型的协同过滤算法相对于经典协同算法的优势,进而证明其能够在中医药健康养老信息的推送过程中提高效率。

关键词: 用户识别特征模型, 中医药健康养老, 协同过滤, 推送算法