Apple ML Research
· Cloud & Big Tech
Personalizing Incremental Video Search with Hybrid Text and ID Embeddings
Incremental video search requires high-quality ranking after each keystroke, where intent is often underspecified (e.g., 1–3 character prefixes). We present a personalization system for Apple TV search that combines complementary semantic and collaborative signals at ranking time. Our approach learns two item embedding