Summary
This blog post discusses three innovative methods for addressing the cold start problem in recommendation systems: contextual bandits, meta-learning, and large language models (LLMs). It provides insights on how major platforms such as Spotify, TikTok, and YouTube effectively manage new users and items, serving as a practitioner's guide to understanding these modern approaches.