立场：推荐系统应从平台中心排序转向个人代理中介推荐
原标题：Position: Recommender Systems Should Move Beyond Platform-Centric Ranking toward Personal Agent-Mediated Recommendation
AI 摘要
一篇 arXiv cs.IR 立场论文提出推荐系统应从平台中心排序转向个人代理中介推荐（PAMR），由面向用户的个人代理在分布式来源间发现、过滤、聚合和治理推荐证据。作者定义了 PAMR 的边界标准、核心中介决策和以中介为中心的评价框架，并在 Yelp 餐厅推荐任务上做了概念验证，显示来源选择与受控披露在效用、可追溯性、暴露和成本之间取得最佳平衡。
正文节选
Position: Recommender Systems Should Move Beyond Platform-Centric Ranking toward Personal Agent-Mediated Recommendation Abstract Recommender systems are usually framed as ranking systems: platforms observe users, construct candidate sets, and select items on their behalf. This framing hides a deeper allocation of control, in which platforms also determine candidate access, evidence boundaries, explanations, and the path from user need to recommended output. We argue that the next bottleneck in r