人工智能在电商个性化推荐中的应用研究

Research on the Application of Artificial Intelligence in E-Commerce Personalized Recommendation

摘要: 在人工智能技术的驱动下，电子商务个性化推荐系统已成为提升用户体验和平台竞争力的核心工具。本文探讨了人工智能在电商个性化推荐中的应用，分析了其对提高用户满意度、转化率及销售效益的影响，并讨论了人工智能应用中面临的挑战，包括数据隐私保护、算法偏见及过度个性化推荐可能导致的信息茧房问题。最后，从多模态系统的崛起、自适应定价与动态促销策略、智能客服与情感分析等方面展望了人工智能在电子商务领域的未来发展趋势。

Abstract: Driven by artificial intelligence technology, e-commerce personalized recommendation systems have become a core tool for enhancing user experience and platform competitiveness. This article explores the application of artificial intelligence in e-commerce personalized recommendations, analyzes its impact on improving user satisfaction, conversion rates, and sales benefits, and discusses the challenges faced in the application of artificial intelligence, including data privacy protection, algorithmic bias, and the potential information cocoon problem caused by excessive personalized recommendations. Finally, it looks forward to the future development trends of artificial intelligence in the field of e-commerce from the rise of multimodal systems, adaptive pricing and dynamic promotion strategies, intelligent customer service and sentiment analysis, and other aspects.