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基于Django的IT行业招聘数据分析与岗位推荐系统 论文.doc
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Django的IT行业招聘数据分析与岗位推荐系统 论文
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本 科 毕 业 论 文
IT 行业招聘数据分析与岗位推荐系
统
本科生毕业设计(论文)
- I -
摘 要
随着社会经济的快速发展,人们的生活水平得到了显著提高,但随之而来的社会问
题也越来越多。其中最为显著的就是就业问题。为此,招聘信息的展示也变得越来越为
重要。但是在大量的招聘信息中,人们在提取自己最想要的信息时变得不那么容易,对
于应聘者也是如此。本系统通过对网络爬虫的分析,研究智通人才网站数据,尝试使用
Python 技术进行开发,将智通人才网招聘信息尽可能的爬取出来,并对结果进行检测判
断,最后可视化分析出来,为用户提供精确的查询结果。IT 行业招聘数据分析与岗位推
荐系统旨在提高数据挖掘的效率,便于科学的管理和分析招聘数据。
本文先分析 IT 行业招聘数据分析与岗位推荐系统的背景和意义;对常见的爬虫原
理,获取策略,信息提取等技术进行分析;本系统使用 python 进行开发,MySQL 数据库
进行搭建,实现了招聘的数据爬取;对数据库的查询结果进行检测并可视化分析,对系
统的前台界面进行管理,分析爬取的结果,并对招聘数据结果进行大屏显示;最后通过
测试实现了数据爬取,存储过滤和数据可视化分析,以及系统管理等功能。
[关键词] 爬虫,python,大数据,关键字,招聘数据
本科生毕业设计(论文)
- II -
Abstract
With the rapid development of social economy, people's living standards have been
significantly improved, but the following social problems are also increasing. Among them,
the most prominent problem is employment. To this end, the display of recruitment
information has become increasingly important. However, in a large number of recruitment
information, it is not easy for people to extract the information they want most, and the same
is true for applicants. Through the analysis of web crawlers, this system studies the data of
Zhaopin recruitment website, tries to use Python technology for development, crawls out the
recruitment information of Zhaopin recruitment website as much as possible, detects and
judges the results, and finally analyzes them visually to provide users with accurate query
results. The recruitment website information crawling and data analysis system based on
Python aims to improve the efficiency of data mining and facilitate scientific management
and analysis of recruitment data.
This paper first analyzes the background and significance of the information crawling
and data analysis system of recruitment websites based on Python; Common crawler
principles, acquisition strategies, information extraction and other technologies are analyzed;
The system uses python for development and MySQL database for construction, which
realizes the data crawling of recruitment; Detect and visually analyze the query results of the
database, manage the foreground interface of the system, analyze the crawling results, and
display the recruitment data results on a large screen; Finally, the functions of data crawling,
storage filtering, data visualization analysis, and system management are realized through
testing.
[keywords] crawler, python, Zhaopin.com, keywords, recruitment data
本科生毕业设计(论文)
1
目 录
摘 要 ...........................................................................................................................................I
Abstract ......................................................................................................................................II
1 绪论.........................................................................................................................................3
1.1 课题背景......................................................................................................................3
1.2 课题意义......................................................................................................................3
1.3 研究内容......................................................................................................................4
2 相关技术介绍.........................................................................................................................6
2.1 系统开发环境..............................................................................................................6
2.2 网络爬虫概述..............................................................................................................6
2.3 Python 技术 ..................................................................................................................7
2.4 MySQL 数据库 ............................................................................................................8
3 系统需求分析.........................................................................................................................9
3.1 可行性分析..................................................................................................................9
3.1.1 操作可行性........................................................................................................9
3.1.2 经济可行性........................................................................................................9
3.1.3 技术可行性........................................................................................................9
3.2 功能需求分析..............................................................................................................9
3.2.1 爬虫功能需求分析............................................................................................9
3.2.2 数据可视化功能需求分析..............................................................................11
3.3 非功能需求分析........................................................................................................11
4 系统设计...............................................................................................................................13
4.1 系统架构设计............................................................................................................13
4.2 系统功能设计............................................................................................................14
4.2.1 数据采集功能设计..........................................................................................14
4.2.2 数据分析功能设计..........................................................................................15
4.3 系统流程设计............................................................................................................16
4.3.1 爬虫流程设计..................................................................................................16
4.3.2 数据分析可视化流程......................................................................................17
4.4 数据库设计................................................................................................................19
5 系统实现...............................................................................................................................21
5.1 数据采集的实现.........................................................................................................21
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