This question evaluates proficiency in ML system design for recommender systems, focusing on cold-start handling, integration of content and graph features, candidate generation and ranking, exploration–exploitation trade-offs, real-time feedback and model updates, and experimental metrics and guardrails.
Design a cold-start recommendation pipeline for a short-video platform. The system must work for both new users with little or no interaction history and new videos with little or no engagement data. You may assume graph information is available, such as user-user, user-video, creator-video, hashtag-video, and video-video relations.
Describe: