How Recommendation Systems Work: Machine Learning Behind Netflix, YouTube & TikTok

This comprehensive guide explores recommendation systems, covering key concepts such as collaborative filtering, matrix factorization, content-based approaches, and deep learning techniques. It delves into model training objectives, real-time learning, reinforcement learning, and addresses challenges like biases and feedback loops. Practical applications in platforms like Netflix and YouTube are highlighted alongside future trends and innovations.