Template-based Recruitment Email Generation For Job Recommendation

TL;DR

This paper introduces a template-based approach for automatically generating recruitment emails in Danish job recommendation scenarios, addressing a previously underexplored area in NLP with promising human evaluation results.

Contribution

It defines the task of automatic recruitment email generation, identifies key challenges, and provides a baseline template-based solution for Danish jobs.

Findings

Human experts find the method effective

The approach offers a practical baseline for future research

Discussion on future directions for improved solutions

Abstract

Text generation has long been a popular research topic in NLP. However, the task of generating recruitment emails from recruiters to candidates in the job recommendation scenario has received little attention by the research community. This work aims at defining the topic of automatic email generation for job recommendation, identifying the challenges, and providing a baseline template-based solution for Danish jobs. Evaluation by human experts shows that our method is effective. We wrap up by discussing the future research directions for better solving this task.