Типи рекомендаційних систем для підбору контенту

Abstract

The aim of this work is to explore and compare the different types of recommendation systems used for content personalization, including collaborative filtering, content-based filtering, and hybrid filtering. The study will analyze the strengths and weaknesses of each system and their effectiveness in different scenarios. The findings of this research will provide insights into the selection of a suitable recommendation system for content personalization