Netflix AI Content Recommendation Engine

The Challenge

Manual content curation was unable to scale with growing content library, leading to poor user experience and low engagement. Users were struggling to find relevant content among thousands of titles.

The Solution

Developed AI-powered recommendation system using collaborative filtering, content-based filtering, and deep learning algorithms. The system analyzes viewing patterns, content features, and user preferences to provide personalized recommendations.

The Results

Increased user engagement by 40%, reduced churn rate by 25%, and generated $1B+ in additional revenue through improved content discovery. The system now serves 200+ million subscribers worldwide.