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LLM4AIGQ transforms user preference extraction in e-commerce by generating guidance queries that accurately reflect multi-interests, overcoming the pitfalls of traditional methods.
Fine-grained interest extraction in search and recommendation can dramatically boost accuracy, revealing user preferences that traditional models overlook.