Introduction
In 2020, machine learning-driven recommendation systems became the backbone of e-commerce, streaming platforms, and online advertising, improving personalization and engagement.
🛒 How ML Improved Recommendations
- Personalized Shopping: AI suggested products based on browsing behavior.
- Streaming Services: AI curated playlists and movie recommendations.
- Ad Targeting: ML-powered ads became more relevant and engaging.
🚀 Ethical Concerns & Challenges
- Privacy concerns over data collection.
- Debate on AI-driven content “filter bubbles.”
