摘要
文章提出一种基于网络爬虫的智能推送就业系统,旨在帮助用户更加高效地获取和筛选符合自己需求的就业信息。该系统通过自动化的网络爬取和数据处理技术,能够从各类招聘网站和企业官方网站中获取就业信息,并根据用户的个人需求和偏好进行智能推送。研究结果表明,系统的各个模块运行正常,响应快,有效提高了用户的就业信息获取效率。
This paper proposes an intelligent employment push system based on web crawlers,aiming to help users more efficiently obtain and filter employment information that meets their needs.The system utilizes automated network crawling and data processing technology to obtain employment information from various recruitment websites and official corporate websites,and intelligently pushes it based on the user’s personal needs and preferences.The research results indicate that each module of the system operates normally,responds quickly,and effectively improves the efficiency of obtaining employment information for users.
作者
苏桂青
SU Guiqing(Guangxi Technological College of Machinery and Electricity,Nanning Guangxi 530007,China)
出处
《信息与电脑》
2024年第5期91-93,共3页
Information & Computer
基金
广西机电职业技术学院2022年度院级科研项目“基于网络爬虫的智能推送就业系统研究与设计”(项目编号:2022YKYZ011)。
关键词
爬虫技术
个性化推荐
系统测试
crawler technology
personalized recommendations
system testing