$750.00
As online job platforms serve millions of users daily, personalized job recommendations have become essential to connecting candidates with relevant opportunities efficiently. The paper “Help Me Find a Job: A Graph-Based Approach for Job Recommendation at Scale” introduces a scalable, graph-based recommender system designed to overcome the challenges of data sparsity, computational limits, and dynamic job postings.
The model leverages graph theory and item similarity to generate accurate, real-time job suggestions that enhance user engagement and satisfaction across large recruitment platforms.