GenPage: Towards End-to-End Generative Homepage Construction at Netflix

This post introduces GenPage, a novel approach to Netflix homepage construction that leverages a single generative transformer model to autoregressively build the entire homepage. It replaces complex multi-stage recommender systems with an end-to-end model that treats user context as a prompt and generates the homepage as a sequence of tokens. Key technical contributions include a domain-specific tokenizer for computational efficiency and product control, a data representation scheme for context and page tokens, and the application of reinforcement learning for whole-page optimization. The post details trade-offs such as using handcrafted summaries for long data sources and discusses challenges in real-time serving latency, entity cold start, and enforcing business rules. GenPage has demonstrated significant user engagement gains and reduced serving latency in production.