Job Recommendation System
Online recruitment platforms have led to a surge in job applications, creating challenges for companies in managing and reviewing them efficiently. With the exponential growth of online job postings and user profiles, the challenge of matching the right job to the right candidate has become increasingly complex. Job recommendation systems aim to streamline this process by leveraging advanced algorithms to suggest relevant job opportunities to job seekers based on their skills, experience, and preferences. Our proposed technique performs better in terms of personalized job recommendations to different users based on their profiles.
Authors
- Girish Deshmukh
- Mona Deshmukh (ORCID: https://orcid.org/0000-0002-0996-2885)
- Ameya Parkar
Institutions
- University of Mumbai (IN)
- D.Y. Patil University (IN)
Publication Details
- Journal
- International Journal of Basic and Applied Sciences
- Published
- 2025-07-20
- DOI
- https://doi.org/10.14419/mhjxnq18
- Primary Topic
- Customer churn and segmentation
- Type
- article
- Field-Weighted Citation Impact
- 0.00