智能系统学报2016，Vol.11Issue(2)：264-271,8.DOI:10.11992/tis.201511026
基于用户移动轨迹的个性化健康建议推荐方法
Personalized recommendation algorithm of health advice based on the user’ s mobile trajectory
摘要
Abstract
Mobile medical applications have become a hotspot in research with the popularization of mobile intelli⁃gent terminals. In response to the problem of personalized recommendation of health advice in the mobile medical environment , a similarity calculation method based on stagnation region eigenvector and user occupation eigenvector was proposed according to the similarity characteristics of users'mobile trajectory and occupation. The sharing of in⁃formation about the suggestion of health in a group was completed by constructing similar user groups. Thus, per⁃sonalized health recommendation services were provided for users with limited medical resources. Results showed the effectiveness and implementation of the algorithm, which has a broad application prospect and practical value in large data analysis and mobile medical application.关键词
移动医疗/大数据分析/移动轨迹/特征向量/个性化推荐Key words
mobile medical/large data analysis/mobile trajectory/feature vector/personalized recommendation分类
信息技术与安全科学引用本文复制引用
陈万志,林澍,王丽,李冬梅..基于用户移动轨迹的个性化健康建议推荐方法[J].智能系统学报,2016,11(2):264-271,8.基金项目
辽宁省高等学校杰出青年学者成长计划（ LJQ2013038）；辽宁工程技术大学博士基金项目（2015-1147）． （）
