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中国科学院大学学报 ›› 2017, Vol. 34 ›› Issue (1): 112-118.DOI: 10.7523/j.issn.2095-6134.2017.01.015

• 计算机科学 • 上一篇    下一篇

面向移动健康医疗系统的多层二分网络推荐算法

周岩, 雷世尧, 张灿   

  1. 中国科学院大学电子电气与通信工程学院, 北京 100049
  • 收稿日期:2016-04-28 修回日期:2016-05-18 发布日期:2017-01-15
  • 通讯作者: 张灿,E-mail:czhang@ucas.ac.cn
  • 基金资助:

    国家自然科学基金(61571416)资助

An improved recommendation algorithm for mobile health care system

ZHOU Yan, LEI Shiyao, ZHANG Can   

  1. School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2016-04-28 Revised:2016-05-18 Published:2017-01-15

摘要:

移动健康医疗系统是信息搜索、精准服务和信息过滤的重要手段,有效提升现有医疗资源的使用效率。为提高健康资讯推荐效率和准确性,提出一种多层二分网络推荐算法,将用户评价标准扩展为“感兴趣”、“不感兴趣”和“未知”3种级别;同时,根据用户感兴趣的信息类别,将原有的“用户-信息”层改进为“用户-信息-类别”层,使置信度在移动医疗多层网络中迭代传播,优化分级医疗资源的使用效率。实验结果表明,多层二分网络推荐算法提高了移动健康医疗系统的服务效率。

关键词: 移动健康医疗系统, 多层二分网络, 推荐算法

Abstract:

As an important method for information searching and filtering, the mobile health care system has successfully improved service efficiency of existing medical resources. To enhance accuracy and effect of the information recommendation, a new recommendation algorithm based on multi-bipartite network is proposed. Evaluation criteria of users are enriched as "interested", "uninterested", and "unknown". Moreover, a genre layer is appended so that the information confidence propagates on a new multi-bipartite network iteratively. Finally, we prove that multi-bipartite network iterative algorithm enhances service effect of mobile health care system.

Key words: mobile health care system, multi-bipartite network, recommendation algorithm

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