基于模糊理论的医院人事档案信息推荐系统  

Query and Recommendation System of the Personnel Information of Hospitals Based on the Fuzzy Theory

作　　者：徐竞 Xu Jing(Chifeng Municipal Hospital, Chifeng 02400)

机构地区：[1]赤峰市医院,内蒙古赤峰024000

出　　处：《微型电脑应用》2018年第6期74-79,共6页Microcomputer Applications

摘　　要：基于关键字的医院人事档案信息检索系统仅能获得完全匹配的检索结果,无法获得相关联的人事档案信息。对此提出了一种基于模糊理论的医院人事档案信息推荐系统。收集用户的隐式相关反馈与显式相关反馈,使用线性预测模型与线性回归分析基于隐式反馈参数分析文档的相关性;根据隐式参数预测访问文档的相关性级别,使用线性回归模型计算相关性的预测值;采用一个自适应模糊方案创建任务、用户、文档的配置文件,根据新的用户查询与相关性参数集创建一个推荐的人事文档与专家医生列表。基于公开数据集的仿真实验结果表明,其算法获得了较好的检索精度,并且产生了相关性较高的推荐列表。Only perfect matcheded results are given in the retrieval systems of personnel information of hospitals based on the key words,these systems do not output any relevant personnel information.In this paper,a recommendation system of the personnel information of hospitals based on the fuzzy theory is proposed to solve that problem.Firstly,explicit and implicit relevance feedbacks of users are collected,predictive linear model and linear regression model are used to analyze the relevance of documents based on the implicit feedback parameters.Then,the relevance levels of documents are predicted according to implicit feedback parameters,the predicted values of relevance are analyzed and computed by the linear regression model.Finally,the profiles of retrieval tasks,users and documents are created by adaptive fuzzy approach,a recommendation list of personnel information including doctors＇ information is created according to the new user query and relevance parameter set.The simulation experimental results based on the public dataset show that the proposed algorithm realizes a good retrieval precision,and it also supplies a highly relevant recommendation list.

关 键 词：医院人事信息管理 移动互联网 文档检索系统 模糊理论 相关反馈 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]