| 面向移动健康医疗系统的多层二分网络推荐算法 |
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| 作者姓名： | 周岩 雷世尧 张灿 |
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| 作者单位： | 中国科学院大学电子电气与通信工程学院, 北京 100049 |
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| 基金项目： | 国家自然科学基金（61571416）资助 |
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| 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。
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| 关 键 词： | 移动健康医疗系统 多层二分网络 推荐算法 |
| 收稿时间： | 2016-04-28 |
| 修稿时间： | 2016-05-18 |
An improved recommendation algorithm for mobile health care system |
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| Authors: | ZHOU Yan LEI Shiyao ZHANG Can |
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| Institution: | School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China |
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| 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. |
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| Keywords: | mobile health care system multi-bipartite network recommendation algorithm |
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