Enhanced Job Recommendation System Using Skill Based Rule Matching Algorithm
Job Connect is a pioneering job recommendation site that aims to make the job search process easier by suggesting job recommendations that are particularly customized to each user, based on the content of his or her CV. Through a meticulous study of the precise skills, experience, and qualifications recorded in the CV, Job Connect creates a profile for each user, which it uses to suggest highly relevant jobs that best suit the individual's specific background and career goals. The key concept of Job Connect is to make the job search process less exhausting, suggesting jobs that are particularly targeted and customized for each user, saving the time and effort typically spent browsing through dozens of job postings. The system works by using high-level data scraping algorithms to browse job postings from a broad spectrum of industries on the internet. This active data collection system keeps the database updated with latest job postings from a variety of industries at all times, enabling Job Connect to mirror the intensity of available vacancies in the market.
Authors
- Priyan Malarvizhi Kumar (ORCID: https://orcid.org/0000-0001-6149-2705)
- Balasubramanian Prabhu Kavin (ORCID: https://orcid.org/0000-0001-6939-4683)
- Akshat Srivastava (ORCID: https://orcid.org/0000-0002-6074-9983)
- Prachi Joshi
- Utkarsh Dubey (ORCID: https://orcid.org/0000-0001-9177-464X)
Institutions
- University of North Texas (US)
- SRM Institute of Science and Technology (IN)
Publication Details
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1109/icdsbs63635.2025.11031850
- Citations
- 2
- Primary Topic
- Scheduling and Timetabling Solutions
- Type
- article
- Field-Weighted Citation Impact
- 4.21