# Template-based Recruitment Email Generation For Job Recommendation

arXiv: https://arxiv.org/abs/2212.02885 · HTML: https://mlsanity.com/paper/2212.02885/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 12 references that are in the map.
- First posted on arXiv 6 Dec 2022.

## Builds on (most cited first, 4 of 4)

- [Leveraging Pre-trained Checkpoints for Sequence Generation Tasks](https://mlsanity.com/paper/1907.12461/) (2019)
- [This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation](https://mlsanity.com/paper/1906.03497/) (2019)
- [Multilingual AMR-to-Text Generation](https://mlsanity.com/paper/2011.05443/) (2020)
- [Automated email Generation for Targeted Attacks using Natural Language](https://mlsanity.com/paper/1908.06893/) (2019)

## Abstract (arXiv)

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.