招聘网站职位与简历的双向匹配相似度算法  

Bi-directional matching similarity algorithm for positions and resumes of recruitment website

作　　者：徐锦阳 张高煜[1] 王曼曦[1] 楼焕钰 薛伟程 毛髌裕 

机构地区：[1]上海金融学院,上海201209

出　　处：《信息技术》2016年第8期43-46,51,共5页Information Technology

基　　金：2014年上海大学生创新创业项目(201411639040)

摘　　要：针对当前热门的网络招聘模式中简历与职位的匹配推荐算法的参考信息属性较少,难以为求职者提供真正准确度高、行之有效的职位信息推荐的现实,进行招聘网站中的企业和个人用户属性信息数据、简历和职位的属性信息匹配度的研究,借助于贝叶斯公式对于简历中的专业信息进行行业分类,在此基础上提出改进的相似度算法,对职位和简历的属性进行相似度算法计算,得到职位与简历之间的匹配度信息,从而做到更为精准有效的职位推荐,最后采用真实网站数据完成了算法检验,效果较好。Aiming at the reality of the less reference information attribute of the recommendation algorithm on the matching between CV and jobs,job recommendation with low accuracy and inefficiency in the current popular online recruitment model,the research is carried out on the enterprise and individual user information data and the matching degree of CV and jobs. The professional information is divided by industry classification with the use of Bayesian formula,based on which improved similarity algorithm is proposed to calculate the similarity between the position and resume to achieve more accurate and effective position recommendation. Finally,the real data to test the algorithm gets the better effect.

关 键 词：招聘网站 职位与简历 相似度算法 职位推荐 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]