摘要
信息过载使得人们难以快速查找到最适用于用户自身的信息,为满足女性用户快速获得自身需要的健康信息,文中提出了一种基于女性健康信息的个性化推荐算法。算法综合了基于内容与协同过滤的方法,根据用户的基础信息(年龄、现居地、病史、体质)以及用户历史搜索为用户推荐感兴趣的且适用于用户的健康知识。实验测试结果表明,算法能够快速准确地为用户推送合适的信息。
Information overload makes it difficult for people to quickly find the information that is most suitable for users. In order to meet the health information quickly obtain needs of the female users,a personalized recommendation algorithm based on female health information is proposed. The algorithm integrates content-based and collaborative filtering methods,and recommends users health knowledge that them interest in,based on the user 's basic information( age,current residence,medical history,physique) and history search. Experimental test results show that the algorithm can quickly and accurately push the appropriate information for the user.
引文
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