面向岗位能力匹配的多关键词编码MPB-Tree索引技术  

Multi-Keyword Coding MPB-Tree Index Technology for Occupation Competency Matching

作　　者：李洁 王英明 许青 张露露 LI Jie;WANG Yingming;XU Qing;ZHANG Lulu(Ma'anshan University,Ma'anshan 243000,China)

机构地区：[1]马鞍山学院,安徽马鞍山243000

出　　处：《信息工程大学学报》2023年第5期567-571,613,共6页Journal of Information Engineering University

基　　金：安徽高校自然科学研究项目(KJ2020A0842)。

摘　　要：单一关键词筛选的求职者信息与对应岗位能力的匹配度具有较大偏差,为帮助企业人力资源管理部门准确、全面地完成人才筛选,提出了一种多关键词编码MPB-Tree索引技术。扩展处理核心关键词,并构建岗位能力需求关键词轮廓集合。结合PB-Tree与Patricia索引建立支持多关键词索引的MPB-Tree索引结构。基于MPB-Tree索引结果与关键词轮廓集合的相关度,索引岗位能力需求关键词,实现岗位能力匹配。结果表明,所提技术的查全率和查准率均高于单一核心关键词索引下的查全率和查准率,由此说明所提技术的索引结果更为全面和准确。There is a large deviation between the matching degree between the job seeker information screened by a single keyword and the corresponding occupation ability.In order to help the human resources management department of the enterprise to complete the talent screening accurately and comprehensively,a multi-keyword coded MPB-Tree index technology is proposed.The core keywords are expanded and processed,and the keyword profile set of occupation capacity requirements is constructed.The MPB-Tree index structure supporting multi-keyword index is established by combining PB-Tree and Patricia index.Based on the correlation between the MPB-Tree index result and the keyword profile set,the occupation capacity requirement keywords are indexed to achieve occupation capacity matching.The results show that the recall and precision of the proposed technology are higher than those of the single core keyword index,which indicates that the index results of the proposed technology are more comprehensive and accurate.

关 键 词：MPB-Tree索引 岗位能力匹配 多关键词索引 均值聚类算法 

分 类 号：TP236.54[自动化与计算机技术—检测技术与自动化装置]