Query Classification

Query classification aims to automatically categorize user search queries, a crucial task for improving search engine performance and user experience across various applications, particularly e-commerce. Current research focuses on addressing challenges like class imbalance and noisy data using techniques such as graph convolutional networks, hierarchical classification models, and knowledge distillation methods that leverage large language models and multi-expert systems to enhance accuracy and efficiency. These advancements lead to improved search relevance and user engagement, demonstrated by successful online A/B testing in real-world applications like e-commerce platforms and financial information retrieval systems.