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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. QueryAgent-R1: Bridging Query Generation and Product Retrieval for E-Commerce Query Recommendation

    Researchers have developed QueryAgent-R1, a new framework designed to improve e-commerce query recommendations by better aligning suggested queries with actual product inventory and user preferences. This agentic approach uses a chain-of-retrieval optimization to ensure generated queries are grounded in real products, aiming to boost both query click-through rates and product conversion rates. Initial testing shows QueryAgent-R1 improves query CTR by 2.9% and guided CVR by 3.1% in production environments. AI

    IMPACT Enhances e-commerce search by directly linking query generation to product retrieval, potentially increasing conversion rates.