Personalizing Incremental Video Search with Hybrid Text and ID Embeddings

Apple ML Research · 1 day ago

Apple TV developed a personalized video search system combining text-based and ID-based embeddings to improve search ranking after each keystroke. The system achieved 8.63% improvement in NDCG@10 on ambiguous 1-3 character queries and 1.14% tap-through rate increase in online testing. The personalization approach delivers greater value for users with longer watch histories and on underspecified queries where intent is still forming.