网络招聘的人岗匹配度算法研究
Research on the Algorithm of Person-post Matching Degree in Online Recruitment
李浩 1郭嘉莉 2梁艳 1柯涛 2陈渝 2王艺旋 2冯涛3
作者信息
- 1. 云南省建设投资控股集团有限公司,云南昆明 650214
- 2. 云南财经大学统计与数学学院,云南昆明 650221
- 3. 云南财经大学信息学院,云南昆明 650221
- 折叠
摘要
立足于现实招聘网站的无标签数据,仅考虑双方少量的特征计算匹配度,实现岗位推荐.通过构建人岗匹配数据集和特征体系,结合特征匹配和文本相似度设计了人岗匹配度的算法,最后成功实现计算,表明用少量特征和文本相似方法进行匹配推荐是可行的.
Abstract
Based on the unlabeled data of real recruitment websites,this paper hopes to calculate the matching degree by considering only a few features of both sides,so as to realize job recommendation. By constructing the person-post matching data set and feature system,and then combining feature matching and text similarity designed the algorithm of human-post matching degree,and finally successfully realized the calculation. It indicates the feasibility of matching recommendation with a few features and text similarity methods.
关键词
人岗特征匹配/相似性测度/岗位推荐Key words
person-post feature match/similarity measure/job recommendation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据