Enhancing Job Recommendation Systems through Machine Learning: A Comprehensive Analysis of Skill Sync Job Recommendation System
Authors:-Rupali Sharma, Rupam Maji, Mudabbir Shazan, Rutika Khose, Nidhi Gaikar
Abstract-This study explores the efficacy of employing advanced algorithms and machine learning techniques within job recommendation systems, focusing on precise matching between user profiles and job descriptions. By incorporating factors such as skills, experience, and industry trends, the system optimizes career recommendations, aligning with individual preferences and professional goals. Leveraging resume parsing for user profiles and machine learning algorithms like collaborative filtering for job matching, alongside natural language processing for enhanced understanding, the system offers tailored suggestions. It integrates an email notification system and dynamically generates personalized content, thereby enhancing the job recommendation experience.
