[1]CHEN Wanzhi,LIN Shu,WANG Li,et al.Personalized recommendation algorithm of health advice based on the user’s mobile trajectory[J].CAAI Transactions on Intelligent Systems,2016,11(2):264-271.[doi:10.11992/tis.201511026]
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Personalized recommendation algorithm of health advice based on the user’s mobile trajectory

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 11 Number of periods: 2016 2 Page number: 264-271 Column: 学术论文—机器学习 Public date: 2016-04-25
Title:
Personalized recommendation algorithm of health advice based on the user’s mobile trajectory
Author(s):
CHEN Wanzhi1;  LIN Shu1;  WANG Li2;  LI Dongmei2
1. School Electronics and Information Engineering, Liaoning Technical University, Huludao 125105, China;
2. China Petroleum Liaohe Equipment Company, Panjin 124010, China
Keywords:
mobile medical; large data analysis; mobile trajectory; feature vector; personalized recommendation
CLC:
TP311
DOI:
10.11992/tis.201511026
Abstract:
Mobile medical applications have become a hotspot in research with the popularization of mobile intelligent 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 information about the suggestion of health in a group was completed by constructing similar user groups. Thus, personalized 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.
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