Collaborative filtering algorithms for a job recommendation system built with a microservice architecture
This article presents the development of a recommender system for recruiting personnel and vacancies to improve the efficiency of the hiring process. The proposed system has integrated collaborative and hybrid filtering methods to provide personalized job recommendations. Collaborative filtering model has analyzed historical data, identifying patterns by detecting connections between user information and job content.