CogSearch: A Cognitive-Aligned Multi-Agent Framework for Proactive Decision Support in E-Commerce Search

A research team led by Zhouwei Zhai has published a paper introducing CogSearch, a novel framework that reimagines e-commerce search as a proactive decision support system. The system addresses a key limitation of current search engines, which are largely passive retrieval-and-ranking models that often overwhelm users with choices instead of aiding complex decision-making. CogSearch's core innovation is its use of four specialized AI agents that work together to mimic human cognitive workflows. These agents decompose intricate user intents and fuse heterogeneous knowledge from both internal and external sources to deliver highly actionable insights, fundamentally shifting the paradigm from simple relevance to holistic decision intelligence.

Extensive online A/B testing conducted on a major e-commerce platform demonstrated the system's transformative real-world impact. The framework reduced user decision costs by 5% and achieved a 0.41% increase in overall UCVR (User Conversion Value Rate). Most notably, it delivered a remarkable 30% surge in conversion rates specifically for decision-heavy queries, where traditional search models typically falter. This performance validates the framework's excellence in consultative and complex search scenarios, proving that a multi-agent, cognitive-aligned approach can significantly enhance the commercial effectiveness and user experience of digital marketplaces.