5 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 1 cited
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources
Nan Li, Bo Kang, Jefrey Lijffijt +1
In settings such as e-recruitment and online dating, recommendation involves distributing limited opportunities, calling for novel approaches to quantify and enforce fairness. We i…
cs.CL2023★ 5 cited
LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models
Nan Li, Bo Kang, Tijl De Bie
Automated occupation extraction and standardization from free-text job postings and resumes are crucial for applications like job recommendation and labor market policy formation.…
cs.IR2022★ 5 cited
A challenge-based survey of e-recruitment recommendation systems
Yoosof Mashayekhi, Nan Li, Bo Kang +2
E-recruitment recommendation systems recommend jobs to job seekers and job seekers to recruiters. The recommendations are generated based on the suitability of the job seekers for…