面向企业的政策智能匹配推送系统研究

ENTERPRISE-ORIENTED POLICY INTELLIGENT MATCHING AND PUSH SYSTEM

  • 摘要: 针对企业获取创新政策渠道不畅、时间滞后、难以理解等现实问题,通过网络爬虫技术汇聚各类创新政策,并建立基于文本分析的神经网络政策分析模型,相比基线方法提升了匹配精准度。系统开展实际应用,面向企业开展创新政策智能匹配、信息推送、分析报告服务,打通了创新政策惠企最后一公里问题,取得了良好服务成效。

     

    Abstract: In view of the practical problems of poor channels, time lag, and difficulty in understanding innovation policies for enterprises, this paper gathers various innovation policies through web crawler technology, and establishes a neural network policy analysis model for policy text analysis, which improves the matching accuracy compared with the baseline method. The system has been put into practical application, and provided several services for enterprises, including the intelligent matching of innovation policies, information push, and analysis reporting. This system has solved the last mile problem of benefiting enterprises with innovation policies, and achieved good service results.

     

/

返回文章
返回