Automatically Detecting Errors in Employer Industry Classification Using Job Postings

Automatically Detecting Errors in Employer Industry Classification Using Job Postings

Abstract In the recruitment domain, knowing the employer industry of jobs is important to get an insight about the demand in each industry. The existing system at CareerBuilder uses an employer name normalization system and an employer knowledge base (KB) to infer the employer industry of a job. How...

Full description

Bibliographic Details
Main Authors: Alan Chern, Qiaoling Liu, Josh Chao, Mahak Goindani, Faizan Javed
Format: Article
Language:English
Published: SpringerOpen 2018-08-01
Series:Data Science and Engineering
Subjects:
Employer industry classification
Job postings
Multiclass classification
Error detection
Online Access:http://link.springer.com/article/10.1007/s41019-018-0071-7

Internet

http://link.springer.com/article/10.1007/s41019-018-0071-7

Similar Items