Evaluating AI Recruitment Sourcing Tools by Human Preference

This study introduces a benchmarking methodology designed to evaluate the performance of AI-driven recruitment sourcing tools. We created and utilized a dataset to perform a comparative analysis of search results generated by leading AI-based solutions, LinkedIn Recruiter, and our proprietary system,this http URL. Human experts assessed the relevance of the returned candidates, and an Elo rating system was applied to quantitatively measure each tool's comparative performance. Our findings indicate that AI-driven recruitment sourcing tools consistently outperform LinkedIn Recruiter in candidate relevance, withthis http URLachieving the highest performance scores. Furthermore, we found a strong alignment between AI-based evaluations and human judgments, highlighting the potential for advanced AI technologies to substantially enhance talent acquisition effectiveness. Code and supporting data are publicly available atthis https URL

@article{slaykovskiy2025_2504.02463,
  title={ Evaluating AI Recruitment Sourcing Tools by Human Preference },
  author={ Vladimir Slaykovskiy and Maksim Zvegintsev and Yury Sakhonchyk and Hrachik Ajamian },
  journal={arXiv preprint arXiv:2504.02463},
  year={ 2025 }
}