基于大数据的软件行业招聘市场需求预测  

Demand Forecast of Recruitment Market in Software Industry Based on Big Data

作　　者：甘丽新[1] 唐斯文 李伟健 刘凤淳 涂伟[1] GAN Lixin;TANG Siwen;LI Weijian;LIU Fengchun;TU Wei(Jiangxi Science&Technology Normal University,Nanchang Jiangxi 330038,China)

机构地区：[1]江西科技师范大学,江西南昌330038

出　　处：《信息与电脑》2022年第9期42-44,共3页Information & Computer

基　　金：江西省高校人文社科项目“大数据驱动下招聘市场需求预测--以软件行业为例”(项目编号:JC161001);江西省教育厅科学技术研究项目(项目编号:GJJ150819)。

摘　　要：为更好地解决招聘市场供需知识不对称问题,本文面向软件行业招聘领域,将多源跨平台的网络招聘信息进行自动采集与集成。首先,结合自然语言处理技术与招聘领域知识,对招聘信息中的企业、职位进行实体识别和关系抽取;其次,采用隐含狄利克雷分布(Latent Dirichlet Allocation,LDA)模型构建招聘需求和招聘主题之间的语义关系;最后,综合隐马尔科夫模型、深度学习方法对招聘市场需求进行预测,以期为招聘企业、求职者以及高校提供一定的参考作用。In order to better resolve the problem of knowledge asymmetry between supply and demand in the recruitment market,this paper automatically collects and integrates multi-source and cross platform online recruitment information for the recruitment field of software industry.Firstly,combined with natural language processing technology and recruitment domain knowledge,entity recognition and relationship extraction are carried out for enterprises and positions in recruitment information;Secondly,LDA model is used to construct the semantic relationship between recruitment requirements and recruitment topics;Finally,the hidden Markov model and deep learning method are integrated to predict the demand of the recruitment market,in order to provide some reference for recruitment enterprises,job seekers and colleges and universities.

关 键 词：大数据 网络招聘 软件行业 需求预测 

分 类 号：F224[经济管理—国民经济]