TL;DR — Content Recommendation

Design a content recommendation system for a media platform that suggests articles, videos, or posts to users. The system must optimize for engagement while balancing content quality, diversity, and freshness. Unlike product recommendations, content has rapid lifecycles and engagement is the primary signal. Key features: Personalized content feed ranked by predicted engagement. Multi-signal engagement prediction (CTR, watch time, shares, saves).