In the context of artificial intelligence technology,e-commerce personalized recommendation system,as a tool that can accurately match user preferences and improve platform revenue,has become the key to improve network service experience and enhance platform competitiveness.The purpose of this paper is to propose an optimization strategies for the limitations of the existing personalized recommendation system of e-commerce,so as to enhance the competitiveness of the platform and promote the high-quality development of the platform.
关键词
人工智能/电子商务/个性化/推荐系统
Key words
artificial intelligence/Electronic commerce/Personalization/Recommendation system
维普
万方数据