An AI-based Personalised Job Recommendation and Application Assistant Agent for Enhanced Employment Matching: A Scrapus Use Case
Year: 2025
Type: article
Abstract: The complexity and inefficiencies inherent in job search processes significantly impact both job seekers and employers. This study introduces a sophisticated artificial intelligence (AI) agent designed to deliver personalised job recommendations tailored to individual career profiles, experiences, and preferences. The proposed AI agent automates and customises job searches using natural language processing (NLP) techniques and personalised keyword analysis. Additionally, it autonomously generates individualised cover letters and application emails, streamlining repetitive tasks. Our experiments demonstrate that this agent significantly improves the job-matching accuracy, reduces the time-to-employment, and enhances the overall hiring experience for both candidates and employers.
Author: Rabia Yörük
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4412510683