Implementation of Video Streaming Service Recommendation System
Netflix-style recommendations: main task is user retention on platform. Success metric — not CTR, but watch time and session continuation rate. Specifics: content is expensive and limited, not only taste matters but mood, users share profiles with family.
Multi-context Model
Video streaming key metrics: watch time per session (main), continuation rate (% users who watched next episode), diversity of content consumed, content-driven subscriber retention. Netflix reports that recommendation system generates ~80% of consumed content. Correct episode boost implementation increases session depth by 30-40%.