网络招聘信息抽取与分析系统设计

Design of network recruitment information extraction and analysis system

为了解决国内网络招聘网站信息量大,求职需耗费大量时间精力的问题,文章基于Flask框架设计并实现了网络招聘信息抽取与分析系统。系统根据用户求职意向,通过爬虫实时采集招聘信息并定向分类,为不同用户匹配岗位,同时,将用户抓取的历史信息存储进数据库,方便用户浏览历史记录和定制招聘信息列表。系统过滤大量无用信息,使求职者更便捷地获取有效信息,提高求职效率。

To solve the problem that domestic online recruitment websites have a large amount of information and job hunting needs a lot of time and energy, we designs an online recruitment information extraction and analysis system based on the Flask. According to the user’s job intention, the system collects recruitment information in real time through the crawler and classifies it directionally, so as to match positions for different users. At the same time, the historical information captured by users is stored in the database to facilitate users to browse the historical records and customize the recruitment information list. The system filters a large amount of useless information, so that job seekers can obtain effective information more conveniently and improve job search efficiency.