淘宝灰度测试“AI万能搜”新功能，电商搜索迎来变革

Core Insights - Taobao is accelerating the implementation of AI technology in consumer scenarios with a new feature called "AI Universal Search" currently in gray testing [3] - This innovative search function represents a significant transformation in the e-commerce search model, moving away from traditional keyword matching to a conversational interaction approach [3][4] - The system can understand user queries in natural language and generate a comprehensive "answer report" that includes product links, review videos, and purchasing guides [3][4] Feature Details - "AI Universal Search" allows users to ask questions in everyday language, such as "What are some simple style dresses suitable for new employees?" or "Recommendations for practical gifts under 500 yuan for my father?" [3] - The system breaks down key dimensions like cost-performance ratio, budget range, and battery life when users input queries like "How to choose a phone," providing a layered product recommendation scheme [4] - Users receive tailored "avoid pitfalls" reminders and pairing suggestions, with the system guiding them to refine their queries if they are not satisfied with the results [4] Technical Capabilities - The feature relies on Alibaba Cloud's Tongyi large model technology, combined with Taobao's vast product data and user behavior insights, enabling strong semantic understanding and content generation capabilities [4] - The system dynamically organizes information based on user needs, providing personalized recommendations, such as suggesting air conditioners suitable for small apartments along with installation tips and user reviews [4] - "AI Universal Search" also incorporates a "shopping preference" function using collaborative filtering algorithms, allowing the AI to understand user tastes and preferences, achieving a level of personalization previously unattainable by other platforms [4] Additional Information - It remains unclear whether "AI Universal Search" utilizes other models like DeepSeek in addition to Tongyi Qianwen, and whether the search data is based on product details or user-generated content [5]