Artificial intelligence recommendations: evidence, issues, and policy
综述了推荐系统在提升用户体验的同时，可能加剧市场集中和减少内容多样性的经济影响，并强调需要基于经济研究的政策来平衡其利弊。
Abstract Recommender systems (RS) enhance user experiences by providing personalized content and are widely used by popular services like Apple Music, Spotify, Netflix, and YouTube to increase user engagement. However, these systems can also have significant economic implications, including exacerbating market concentration and reducing content diversity. This paper reviews recent economic literature on RS, emphasizing their dual role as both beneficial tools and potential sources of market distortion. The paper underscores the necessity for policies informed by economic research to balance the benefits of RS against their associated risks.