Recommender Systems with Machine Learning - Applications and Real-World Challenges

The video discusses the challenges and applications of recommender systems. Key challenges include cold start, data sparsity, privacy, and scalability. The video also highlights the importance of user preferences and autonomy. Applications of recommender systems are explored, with examples like Amazon, Netflix, Google News, and Facebook. These systems are crucial for predicting user behavior and enhancing user experience.

Explain the importance of scalability in recommender systems.

List some applications of recommender systems mentioned in the text.