摘要
人体经络较为复杂,涉及到经络、穴位、疾病、脏腑和针灸等方面的知识,容易导致"信息迷航",且对于不同的用户,信息需求也各不相同。针对该问题,文章系统地研究了人体经络系统中的个性化信息服务,构建了用户兴趣模型,并根据用户对场景的访问次数和停留时间来更新用户的兴趣模型,在此基础上提出基于相似用户兴趣的个性化推荐算法,从而实现为用户提供个性化的信息服务。实验结果表明,系统能根据用户信息及其交互行为,有效地推荐与用户兴趣相关的信息,较好地为用户提供个性化的信息服务。
The human meridian system is complex,it relates to meridians,acupuncture points,diseases,organs and acupuncture knowledge,so it easily leads to ＂information Trek＂,besides,information needs are also different for different users.For this problem,this paper systematically studies the personalized information services in the human body meridian system,and establishes the users＇ interest model which are updated by computering the times of user＇s visit and residence time,then puts forward personalized recommendation algorithm based on the similar user interests so as to provide the users with the personalized information services.The experimental results show that the system can effectively recommend the relevant information relating to the users＇ interest according to their information and interactions,and provide them with the personalized information services.
出处
《计算机与数字工程》
2011年第4期59-62,173,共5页
Computer & Digital Engineering
基金
卫生部科学研究基金-福建省卫生厅教育联合攻关计划资助项目(编号:WKJ2005-2-004)
福州大学科研启动项目(编号:0460-022252)
福建省动漫游戏研发公共服务平台(编号:2006RJ27)资助
关键词
人体经络
个性化服务
用户兴趣模型
个性化推荐
human meridian
personalized service
user interest model
personalized recommendation
