基于Lucence的智能简历检索

J.B. Du, Dongping Ma
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引用次数: 0

摘要

随着互联网的发展,电子简历逐渐取代了纸质简历。快速、无遗漏地检索到符合要求的人才信息是企业招聘的基本要求。本文基于SpringBoot和Lucence全文搜索引擎的框架,实现了一种简历智能过滤算法,通过建立索引数据库,提高了系统的查询速度。同时,评分功能提高了过滤结果的准确性,减轻了数据库高并发的压力,提高了人力资源部的工作效率,避免了人才流失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Resume Retrieval Based on Lucence
With the development of Internet, the electronic resume has gradually replaced the paper one. It is the basic requirement of recruitment for enterprises to retrieve the talent information that fulfills the requirement quickly and without omission.Based on the framework of SpringBoot and Lucence full-text search engine, this paper implements a resume intelligent filtering algorithm, which improves the query speed of the system by establishing an index database. At the same time,the scoring function improves the accuracy of the filtering results, reduces the pressure of high concurrency of the database, improves the work efficiency of the Human Resources Department, and avoids the talent loss.
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