LLM-based Weak Supervision Framework for Query Intent Classification in Video Search

Understand

Streaming services have reshaped how we discover and engage with digital entertainment.

• Despite these advancements, effectively understanding the wide spectrum of user search queries continues to pose a significant challenge.
• An accurate query understanding system that can handle a variety of entities that represent different user intents is essential for delivering an enhanced user experience.
• We can build such a system by training a natural language understanding (NLU) model; however, obtaining high-quality labeled training data in this specialized domain is a substantial obstacle.