AI Powered Job Recommendation System
Artificial Intelligence (AI) is revolutionizing the recruiting sector by facilitating more intelligent and effective job matching procedures. This research proposes an AI-powered job recommendation system using machine learning and natural language processing (NLP). It matches job seekers with opportunities that best fit their profiles and preferences. By utilizing sophisticated algorithms that blend content-based and collaborative filtering, the system efficiently navigates large job listings and produces highly accurate and customized job suggestions. The effectiveness of the system is thoroughly assessed using precision, recall, and F1-score metrics, demonstrating its potential to transform the job search experience. Additionally, this paper examines the broader impact of AI-driven recommendation systems in recruitment, providing insights into future developments that could enhance the accuracy of job matching.
Authors
- Shanu Khare
- Riya Riya
- Durgesh Kumar Kushwaha
- Lipakshi Arora
- Abhinav Anand
- Darshit Sheth
Institutions
- Chandigarh University (IN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/emergin63207.2024.10961440
- Citations
- 3
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 2.02