Research on User Information Analysis and Management of E-Commerce Platforms Empowered by Artificial Intelligence

在人工智能技术广泛赋能电商行业背景下，本文围绕用户信息分析与管理展开研究，系统探讨了AI在用户信息采集、画像构建、智能推荐与全生命周期管理中的应用路径。通过梳理当前面临的隐私泄露、算法偏见、数据孤岛及法规合规等关键问题，进一步提出了从数据保护、算法优化、平台集成到伦理治理的系统化应对策略，旨在为电商平台实现智能化、合规化运营提供理论支撑与实践借鉴。Under the background of the extensive empowerment of the e-commerce industry by artificial intelligence technology, this paper focuses on the research of user information analysis and management, and systematically explores the application paths of AI in user information collection, portrait construction, intelligent recommendation and full life cycle management. By sorting out the key issues currently faced such as privacy leakage, algorithm bias, data silos and regulatory compliance, a systematic response strategy from data protection, algorithm optimization, platform integration to ethical governance is further proposed, aiming to provide theoretical support and practical reference for e-commerce platforms to achieve intelligent and compliant operation.