Design And Implementation Of Enterprise Recruitment System Based On Text Semantic Similarity

With the advent of the data era,the rapid development of society and the rapid progress of science and technology have brought tremendous changes to traditional recruitment.Today’s job recruitment more reflects a series of characteristics such as standardization,systematization and network.Internet recruitment uses the Internet to provide relevant services for applicants and companies,but current recruitment websites have more or less different defects,such as the inability to meet the various recruitment needs of companies,and the low degree of matching between massive resumes and positions.This paper analyzes the business process of traditional enterprise recruitment,uses natural language processing technology to process massive resumes and job data,maximizes the advantages of advanced network technology,optimizes the traditional enterprise recruitment process,and implements a text-based enterprise recruitment system with semantic similarity.The main work of this paper is as follows:(1)Analyzed the development status of online recruitment,and studied related technologies of text semantic similarity and various tools implemented by the system.Selected advanced technologies such as Tomcat,uWSGI,Doc2 vec and Fasttext to realize the development of various functions of the system.(2)The natural language processing technology is used to preprocess the data set,and the Doc2 vec algorithm and the Fasttext algorithm are used together to train a complete text semantic similarity matching model of the resume.First,use the Fasttext model for pre-selection to filter out resumes with similar tags,and then use the Doc2 vec model to calculate resumes with the most similar semantics.It achieves the purpose of intelligent matching of the job description requirements and resume description skills,and at the same time solves the problem of the efficiency of matching the semantic similarity of texts in massive data sets.(3)Integrate the model into the recruitment scenario,develop and implement a complete enterprise recruitment system.The system is composed of five modules:user registration and login module,position management module,talent pool management module,AI resume service module,and candidate application module.The core of the system is the AI resume service module,which embeds the text semantic similarity matching model of the trained job resume.This system is based on the increasing quantification of recruitment industry data and the rapid development of artificial intelligence technology,combined with related technologies to optimize the efficiency of online recruitment,in order to change the current situation of inefficient recruiters’ manual screening of candidates’ resumes,and to achieve the purpose of improving enterprise recruitment efficiency and promoting long-term development of the enterprise.