Personalizing Incremental Video Search with Hybrid Text and ID Embeddings

Apple has implemented a new personalization system for its TV platform that updates video search results in real time as users type. By integrating user-specific viewing history with semantic search data, the system improves ranking accuracy for short, underspecified queries. This approach aims to reduce the number of keystrokes needed for users to find content by balancing broad search relevance with individual preferences.