摘要
伴随中国老龄化社会的逐步到来,利用大数据和人工智能技术匹配养老资源供给与居家养老需求成为亟待解决的问题。分析目前居家养老需求,建立居家养老服务数据模型,采用大数据技术构建居家养老服务分类组别,提出居家养老服务复合判别分析算法,设计面向服务架构的养老服务发现与推荐算法,采用爬取网络数据和仿真生成数据相结合方式验证了所提出算法的有效性。
With the gradual arrival of Chinese aging society,it is an urgent problem to use big data and artificial intelligence technology to match the supply of old-age care resources and the demand for home-based old-age care.Analysis of the current home-based care services,the data model of homebased care services is set up,using big data technology to build home endowment service classification categories,family endowment service composite discriminant analysis algorithm,design of serviceoriented architecture endowment service discovery and recommendation algorithm,using crawl way of network data and simulation data generated to verify the effectiveness of the proposed algorithm.
作者
张传一
黄迎春
蒋华萍
项子珂
胡海雷
张政阳
ZHANG Chuanyi;HUANG Yingchun;JIANG Huaping;XIANG Zike;HU Hailei;ZHANG Zhengyang(School of Information Science and Engineering,Shenyang Ligong University,Shenyang,Liaoning Province,110159 China)
出处
《科技资讯》
2021年第14期19-23,共5页
Science & Technology Information
基金
辽宁省自然科学基金项目(项目编号:20180550216)
沈阳理工大学大学生创新训练计划项目(项目编号:S202010144005)。
关键词
居家养老
判别分析
服务推荐算法
面向服务架构
Home-based care
Discriminant analysis
Service recommendation algorithm
Serviceoriented architecture
